Paper Digest: SIGGRAPH 2025 Papers & Highlights
SIGGRAPH (Special Interest Group on Computer GRAPHics and Interactive Techniques) is the annual conference on computer graphics (CG) convened by the ACM SIGGRAPH organization, and deemed as one of the top computer graphics conferences in the world. To help the community quickly catch up on the work presented in this conference, Paper Digest Team processed all accepted papers, and generated one highlight sentence (typically the main topic) for each paper. Readers are encouraged to read these machine generated highlights to quickly get the main idea of each paper.
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TABLE 1: Paper Digest: SIGGRAPH 2025 Papers & Highlights
| Paper | Author(s) | |
|---|---|---|
| 1 | MoVer: Motion Verification for Motion Graphics Animations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce MoVer, a motion verification DSL based on first-order logic that can check spatio-temporal properties of a motion graphics animation. |
Jiaju Ma; Maneesh Agrawala; |
| 2 | Order Matters: Learning Element Ordering for Graphic Design Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we seek to explore the space of orderings to find the ordering strategy that optimizes the performance of graphic design generation models. |
Bo Yang; Ying Cao; |
| 3 | DesignManager: An Agent-Powered Copilot for Designers to Integrate AI Design Tools Into Creative Workflows Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces DesignManager, a novel AI-powered design support system that aims to transform how designers collaborate with AI throughout their creative workflow. |
Weitao You; Yinyu Lu; Zirui Ma; Nan Li; Mingxu Zhou; Xue Zhao; Pei Chen; Lingyun Sun; |
| 4 | Hybrid Tours: A Clip-based System for Authoring Long-take Touring Shots Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, filming LTT shots directly is very difficult, and rendering them based on a virtual reconstruction of a scene is resource-intensive and prone to many visual artifacts. We propose Hybrid Tours, a hybrid approach to creating LTT shots that combines the capture of short clips representing potential tour segments with a custom interactive application that lets users filter and combine these segments into longer camera trajectories. |
Xinrui Liu; Longxiulin Deng; Abe Davis; |
| 5 | Multi-Dimensional Procedural Wave Noise Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce an alternative, wave-based procedural noise model, fast enough to be used in any dimension. |
Pascal Guehl; R\'{e}mi All\`{e}gre; Guillaume Gilet; Basile Sauvage; Marie-Paule Cani; Jean-Michel Dischler; |
| 6 | Lightning-fast Boundary Element Method Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, BEM often generate dense and ill-conditioned linear systems that lead to poor computational scalability and substantial memory demands for large-scale problems, limiting their applicability and efficiency in practice. In this paper, we address these limitations by generalizing the Kaporin-based approach to asymmetric preconditioning: we construct a sparse approximation of the inverse-LU factorization of arbitrary BIE matrices in a massively parallel manner. |
Jiong Chen; Florian Sch\{a}fer; Mathieu Desbrun; |
| 7 | Solving Partial Differential Equations in Participating Media Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We consider the problem of solving partial differential equations (PDEs) in domains with complex microparticle geometry that is impractical, or intractable, to model explicitly. Drawing inspiration from volume rendering, we propose tackling this problem by treating the domain as a participating medium that models microparticle geometry stochastically, through aggregate statistical properties (e.g., particle density). |
Bailey Miller; Rohan Sawhney; Keenan Crane; Ioannis Gkioulekas; |
| 8 | Conformal First Passage for Epsilon-free Walk-on-Spheres Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Instead of using spheres, we propose to utilize geometric primitives that share more than one point with the boundary to increase the likelihood of immediately terminating. |
Paul Himmler; Tobias G\{u}nther; |
| 9 | TokenVerse: Versatile Multi-concept Personalization in Token Modulation Space Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present TokenVerse – a method for multi-concept personalization, leveraging a pre-trained text-to-image diffusion model. |
Daniel Garibi; Shahar Yadin; Roni Paiss; Omer Tov; Shiran Zada; Ariel Ephrat; Tomer Michaeli; Inbar Mosseri; Tali Dekel; |
| 10 | Adaptive Phase-Field-FLIP for Very Large Scale Two-Phase Fluid Simulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, current solutions in the visual effects industry still largely rely on single-phase solvers and non-physical white-water heuristics. To address these limitations, we present Phase-Field-FLIP (PF-FLIP), a hybrid Eulerian/Lagrangian method for the fully physics-based simulation of very large-scale, highly turbulent multiphase flows at high Reynolds numbers and high fluid density contrasts. |
Bernhard Braun; Jan Bender; Nils Thuerey; |
| 11 | Fast Subspace Fluid Simulation with A Temporally-Aware Basis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel reduced-order fluid simulation technique leveraging Dynamic Mode Decomposition (DMD) to achieve fast, memory-efficient, and user-controllable subspace simulation. |
Siyuan Chen; Yixin Chen; Jonathan Panuelos; Otman Benchekroun; Yue Chang; Eitan Grinspun; Zhecheng Wang; |
| 12 | JGS2: Near Second-order Converging Jacobi/Gauss-Seidel for GPU Elastodynamics Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a novel GPU algorithm that achieves convergence rates comparable to fullspace Newton’s method while maintaining good parallelizability just like the Jacobi method. |
Lei Lan; Zixuan Lu; Chun Yuan; Weiwei Xu; Hao Su; Huamin Wang; Chenfanfu Jiang; Yin Yang; |
| 13 | Transformer IMU Calibrator: Dynamic On-body IMU Calibration for Inertial Motion Capture Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel dynamic calibration method for sparse inertial motion capture systems, which is the first to break the restrictive absolute static assumption in IMU calibration, i.e., the coordinate drift RG′ G and measurement offset RBS remain constant during the entire motion, thereby significantly expanding their application scenarios. |
Chengxu Zuo; Jiawei Huang; Xiao Jiang; Yuan Yao; Xiangren Shi; Rui Cao; Xinyu Yi; Feng Xu; Shihui Guo; Yipeng Qin; |
| 14 | Echoes of The Coliseum: Towards 3D Live Streaming of Sports Events Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Traditional 2D live transmissions fail to replicate the immersive quality of physical attendance. Addressing this gap, this paper proposes LiveSplats, a framework towards real-time, photo-realistic 3D reconstructions of live events using high-performance 3D Gaussian Splatting.Our solution capitalizes on strong geometric priors to optimize through distributed processing and load balancing, enabling interactive, freely explorable 3D experiences. |
Junkai Huang; Saswat Subhajyoti Mallick; Alejandro Amat; Marc Ruiz Olle; Albert Mosella-Montoro; Bernhard Kerbl; Francisco Vicente Carrasco; Fernando De la Torre; |
| 15 | Revisiting Tradition and Beyond: A Customized Bilateral Filtering Framework for Point Cloud Denoising Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This complementarity motivates us to explore a hybrid solution that leverages data-driven paradigms to overcome the performance constraints of traditional methods. In this paper, we revisit the classic bilateral filter (BF) as a case study and identify three key limitations hindering its performance: excessive parameter tuning, suboptimal neighborhood quality, and fixed parameters across the entire model. |
Peng Li; Zeyong Wei; Honghua Chen; Xuefeng Yan; Mingqiang Wei; |
| 16 | A Divide-and-Conquer Approach for Global Orientation of Non-Watertight Scene-Level Point Clouds Using 0-1 Integer Optimization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The orientation of large-scale, non-watertight 3D scenes remains an underexplored challenge. To address this gap, we propose DACPO (Divide-And-Conquer Point Orientation), a novel framework that leverages a divide-and-conquer strategy for scalable and robust point cloud orientation. |
Zhuodong Li; Fei Hou; Wencheng Wang; Xuequan Lu; Ying He; |
| 17 | Faraday Cage Estimation of Normals for Point Clouds and Ribbon Sketches Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel method (FaCE) for normal estimation of unoriented point clouds and VR ribbon sketches that leverages a modeling of the Faraday cage effect. |
Daniel Scrivener; Daniel Cui; Ellis Coldren; S. Mazdak Abulnaga; Mikhail Bessmeltsev; Edward Chien; |
| 18 | Variable Shared Template for Consistent Non-rigid ICP Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This inconsistency arises particularly when the template lacks common shape features with the input instances or when landmark annotations are sparse. To overcome this limitation, we propose a novel ICP framework that jointly optimizes a shared template shape and its instance-wise deformations. |
Yucheol Jung; Hyomin Kim; Hyejeong Yoon; Yoonha Hwang; Seungyong Lee; |
| 19 | High-performance CPU Cloth Simulation Using Domain-decomposed Projective Dynamics Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A high-performance CPU alternative can greatly boost the overall system capability and user experience. Inspired by this demand, this paper proposes a CPU algorithm for high-resolution cloth simulation. |
Zixuan Lu; Ziheng Liu; Lei Lan; Huamin Wang; Yuko Ishiwaka; Chenfanfu Jiang; Kui Wu; Yin Yang; |
| 20 | Real-Time Knit Deformation and Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce the first real-time framework that takes an animated stitch mesh as input and enhances it with yarn-level simulation and fiber-level rendering. |
Tao Huang; Haoyang Shi; Mengdi Wang; Yuxing Qiu; Yin Yang; Kui Wu; |
| 21 | Progressive Dynamics++: A Framework for Stable, Continuous, and Consistent Animation Across Resolution and Time Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we identify fundamental limitations of the original method in terms of stability and temporal continuity. |
Jiayi Eris Zhang; Doug L. James; Danny M. Kaufman; |
| 22 | Light Pipe Holographic Display: Bandwidth-preserved Kaleidoscopic Guiding for AR Glasses Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a holographic display using a light pipe for augmented reality, and the hologram rendering method via bandwidth-preserved kaleidoscopic guiding method. |
Minseok Chae; Chun Chen; Seung-Woo Nam; Yoonchan Jeong; |
| 23 | Collaborative On-Sensor Array Cameras Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we learn a nanophotonics array with 100-million nanoposts that is end-to-end jointly optimized over the full visible spectrum—a design task that existing inverse design methods or learning approaches cannot support due to memory and compute limitations. We introduce a distributed meta-optics learning method to tackle this challenge. |
Jipeng Sun; Kaixuan Wei; Thomas Eboli; Congli Wang; Cheng Zheng; Zhihao Zhou; Arka Majumdar; Wolfgang Heidrich; Felix Heide; |
| 24 | A Monte Carlo Rendering Framework for Simulating Optical Heterodyne Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce a flexible and general framework for spectral-domain simulation of OHD. |
Juhyeon Kim; Craig Benko; Magnus Wrenninge; Ryusuke Villemin; Zeb Barber; Wojciech Jarosz; Adithya Pediredla; |
| 25 | Gaussian Wave Splatting for Computer-Generated Holography Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: State-of-the-art neural rendering methods optimize Gaussian scene representations from a few photographs for novel-view synthesis. Building on these representations, we develop an efficient algorithm, dubbed Gaussian Wave Splatting, to turn these Gaussians into holograms. |
Suyeon Choi; Brian Chao; Jacqueline Yang; Manu Gopakumar; Gordon Wetzstein; |
| 26 | Facial Appearance Capture at Home with Patch-Level Reflectance Prior Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose to train the diffusion prior at the patch level to improve generalization ability and training stability, as current Light Stage datasets are in ultra-high resolution but limited in data size. |
Yuxuan Han; Junfeng Lyu; Kuan Sheng; Minghao Que; Qixuan Zhang; Lan Xu; Feng Xu; |
| 27 | 3DGH: 3D Head Generation with Composable Hair and Face Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present 3DGH, an unconditional generative model for 3D human heads with composable hair and face components. |
Chengan He; Junxuan Li; Tobias Kirschstein; Artem Sevastopolsky; Shunsuke Saito; Qingyang Tan; Javier Romero; Chen Cao; Holly Rushmeier; Giljoo Nam; |
| 28 | NAM: Neural Adjoint Maps for Refining Shape Correspondences Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel approach to refine 3D shape correspondences by leveraging multi-layer perceptions within the framework of functional maps. |
Giulio Vigan\`{o}; Maks Ovsjanikov; Simone Melzi; |
| 29 | GenAnalysis: Joint Shape Analysis By Learning Man-Made Shape Generators with Deformation Regularizations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present GenAnalysis, an implicit shape generation framework that allows joint analysis of man-made shapes, including shape matching and joint shape segmentation. |
Yuezhi Yang; Haitao Yang; Kiyohiro Nakayama; Xiangru Huang; Leonidas Guibas; Qixing Huang; |
| 30 | BANG: Dividing 3D Assets Via Generative Exploded Dynamics Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces BANG, a novel generative approach that bridges 3D generation and reasoning, allowing for intuitive and flexible part-level decomposition of 3D objects. |
Longwen Zhang; Qixuan Zhang; Haoran Jiang; Yinuo Bai; Wei Yang; Lan Xu; Jingyi Yu; |
| 31 | Bernstein Bounds for Caustics Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our key insight is that by bounding the irradiance contributed by each triangle tuple at a given position, we can sample a subset of triangle tuples with potentially high contributions. Although low-contribution tuples are assigned a negligible probability, the overall variance remains low.Therefore, we derive position and irradiance bounds for caustics casted by each triangle tuple, introducing a bounding property of rational functions on a Bernstein basis. |
Zhimin Fan; Chen Wang; Yiming Wang; Boxuan Li; Yuxuan Guo; Ling-Qi Yan; Yanwen Guo; Jie Guo; |
| 32 | A Deep Learning-based Virtual Oculoplastic Surgery Simulator Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a novel deep learning-based virtual oculoplastic surgery simulation system that addresses the limitations of existing methods. |
Seonghyeon Kim; Chang Wook Seo; Kwanggyoon Seo; Seung Han Song; Junyong Noh; |
| 33 | QUASAR: Quad-based Adaptive Streaming And Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Instead, scene geometry can be streamed to the client, allowing local rendering of novel views. Traditionally, this has required a prohibitively large amount of interconnect bandwidth, excluding the use of practical networks.This paper presents a new quad-based geometry streaming approach that is designed with compression and the ability to adjust Quality-of-Experience (QoE) in response to target network bandwidths. |
Edward Lu; Anthony Rowe; |
| 34 | VR-Doh: Hands-on 3D Modeling in Virtual Reality Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce VR-Doh, an open-source, hands-on 3D modeling system that enables intuitive creation and manipulation of elastoplastic objects in Virtual Reality (VR). |
Zhaofeng Luo; Zhitong Cui; Shijian Luo; Mengyu Chu; Minchen Li; |
| 35 | Discrete Torsion of Connection Forms on Simplicial Meshes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we extend the existing geometry processing toolbox by providing torsion control over discrete connections. |
Theo Braune; Mark Gillespie; Yiying Tong; Mathieu Desbrun; |
| 36 | Designing 3D Anisotropic Frame Fields with Odeco Tensors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a method to synthesize a 3D tensor field within a constrained geometric domain represented as a tetrahedral mesh. |
Haikuan Zhu; Hongbo Li; Hsueh-Ti Derek Liu; Wenping Wang; Jing Hua; Zichun Zhong; |
| 37 | Piecewise Ruled Approximation for Freeform Mesh Surfaces Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a method to compute a piecewise ruled surface that approximates an arbitrary freeform mesh surface. |
Yiling Pan; Zhixin Xu; Bin Wang; Bailin Deng; |
| 38 | Meschers: Geometry Processing of Impossible Objects Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: As an alternative, we introduce Meschers, meshes capable of representing impossible constructions akin to those found in M.C. Escher’s woodcuts. |
Ana Dodik; Isabella Yu; Kartik Chandra; Jonathan Ragan-Kelley; Joshua Tenenbaum; Vincent Sitzmann; Justin Solomon; |
| 39 | Dress-1-to-3: Single Image to Simulation-Ready 3D Outfit with Diffusion Prior and Differentiable Physics Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce Dress-1-to-3, a novel pipeline that reconstructs physics-plausible, simulation-ready separated garments with sewing patterns and humans from an in-the-wild image. |
Xuan Li; Chang Yu; Wenxin Du; Ying Jiang; Tianyi Xie; Yunuo Chen; Yin Yang; Chenfanfu Jiang; |
| 40 | WishGI: Lightweight Static Global Illumination Baking Via Spherical Harmonics Fitting Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce an illumination reconstruction method that effectively reduces sampling in fragment shader and avoids additional render passes, making it well-suited for low-end platforms. |
Junke Zhu; Zehan Wu; Qixing Zhang; Cheng Liao; Zhangjin Huang; |
| 41 | Segment-based Light Transport Simulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel segment-based light transport framework that uses segments as the basic unit of light transport. |
Wenyou Wang; Rex West; Toshiya Hachisuka; |
| 42 | Sketch2Anim: Towards Transferring Sketch Storyboards Into 3D Animation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Consequently, there is a high demand for automated methods that can directly translate 2D storyboard sketches into 3D animations. This task is under-explored to date and inspired by the significant advancements of motion diffusion models, we propose to address it from the perspective of conditional motion synthesis. |
Lei Zhong; Chuan Guo; Yiming Xie; Jiawei Wang; Changjian Li; |
| 43 | Closed-form Generalized Winding Numbers of Rational Parametric Curves for Robust Containment Queries Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We derive closed-form expressions for generalized winding numbers of rational parametric curves for robust containment queries. |
Shibo Liu; Ligang Liu; Xiao-Ming Fu; |
| 44 | Variational Green and Biharmonic Coordinates for 2D Polynomial Cages Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present closed-form expressions for Green and biharmonic coordinates with respect to polynomial curved 2D cages, enabling reliable cage-based image deformation both to and from a curved cage. |
\'{E}lie Michel; Alec Jacobson; Siddhartha Chaudhuri; Jean-Marc Thiery; |
| 45 | Polynomial 2D Biharmonic Coordinates for High-order Cages Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We derive closed-form expressions of biharmonic coordinates for 2D high-order cages, enabling the transformation of the input polynomial curves into polynomial curves of any order. |
Shibo Liu; Tielin Dai; Ligang Liu; Xiao-Ming Fu; |
| 46 | Interspatial Attention for Efficient 4D Human Video Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a new interspatial attention (ISA) mechanism as a scalable building block for modern diffusion transformer (DiT)-based video generation models. |
Ruizhi Shao; Yinghao Xu; Yujun Shen; Ceyuan Yang; Yang Zheng; Changan Chen; Yebin Liu; Gordon Wetzstein; |
| 47 | Unbiased Differential Visibility Using Fixed-Step Walk-on-Spherical-Caps And Closest Silhouettes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To improve efficiency, we introduce a fixed-step WoS that terminates random walks after a fixed step count, resulting in a continuous but non-harmonic velocity field still valid for warped-area reparameterization. |
Lifan Wu; Nathan Morrical; Sai Praveen Bangaru; Rohan Sawhney; Shuang Zhao; Chris Wyman; Ravi Ramamoorthi; Aaron Lefohn; |
| 48 | Moment Bounds Are Differentiable: Efficiently Approximating Measures in Inverse Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In particular, we demonstrate the method at the examples of shadow mapping and visibility in volume rendering, leading to approximations that are similar in efficiency to existing ad-hoc techniques while being significantly more accurate. |
Markus Worchel; Marc Alexa; |
| 49 | Quadric-Based Silhouette Sampling for Differentiable Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an improved rejection test. It reduces variance substantially, which makes edge sampling in a unidirectional path tracer competitive again. |
Mariia Soroka; Christoph Peters; Steve Marschner; |
| 50 | Differentiable Geometric Acoustic Path Tracing Using Time-Resolved Path Replay Backpropagation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We exploit the duality of light transport simulations and geometric acoustics to apply differential rendering techniques to established acoustic simulation methods. |
Ugo Finnendahl; Markus Worchel; Tobias J\{u}terbock; Daniel Wujecki; Fabian Brinkmann; Stefan Weinzierl; Marc Alexa; |
| 51 | IMLS-Splatting: Efficient Mesh Reconstruction from Multi-view Images Via Point Representation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our method leverages the sparsity and flexibility of point clouds to efficiently represent the underlying surface. To achieve this, we introduce a splatting-based differentiable Implicit Moving-Least Squares (IMLS) algorithm that enables the fast conversion of point clouds into SDFs and texture fields, optimizing both mesh reconstruction and rasterization. |
Kaizhi Yang; Liu Dai; Isabella Liu; Xiaoshuai Zhang; Xiaoyan Sun; Xuejin Chen; Zexiang Xu; Hao Su; |
| 52 | Stochastic Preconditioning for Neural Field Optimization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work observes that fitting these fields is greatly improved by incorporating spatial stochasticity during training, and that this simple technique can replace or even outperform custom-designed hierarchies and frequency-space constructions. |
Selena Ling; Merlin Nimier-David; Alec Jacobson; Nicholas Sharp; |
| 53 | Variational Surface Reconstruction Using Natural Neighbors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a robust and scalable method for reconstructing an implicit surface from points without normals. |
Jianjun Xia; Tao Ju; |
| 54 | CAST: Component-Aligned 3D Scene Reconstruction from An RGB Image Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address these, we propose CAST (Component-Aligned 3D Scene Reconstruction from a Single RGB Image), a novel method for 3D scene reconstruction. |
Kaixin Yao; Longwen Zhang; Xinhao Yan; Yan Zeng; Qixuan Zhang; Lan Xu; Wei Yang; Jiayuan Gu; Jingyi Yu; |
| 55 | ANIME-Rod: Adjustable Nonlinear Isotropic Materials for Elastic Rods Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our key insight is to compute the three cross-sectional deformation modes corresponding to bending (in the two directions) and twisting, using linear theory. |
Huanyu Chen; Jiahao Wen; Jernej Barbi\v{c}; |
| 56 | Fast But Accurate: A Real-Time Hyperelastic Simulator with Robust Frictional Contact Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a GPU-friendly framework for real-time implicit simulation of elastic material in the presence of frictional contacts. |
Ziqiu Zeng; Siyuan Luo; Fan Shi; Zhongkai Zhang; |
| 57 | Optimal R-Adaptive In-Timestep Remeshing for Elastodynamics Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a coupled mesh-adaptation model and physical simulation algorithm to jointly generate, per timestep, optimal adaptive remeshings and implicit solutions for the simulation of frictionally contacting elastodynamics. |
Jiahao Wen; Jernej Barbi\v{c}; Danny M. Kaufman; |
| 58 | Augmented Vertex Block Descent Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Second, we substantially improve the convergence in the presence of high stiffness ratios. These changes we introduce allow simulating complex contact scenarios involving rigid bodies with stacking and friction, articulated bodies connected with hard constraints, including joints with limited degrees of freedom, and stiff systems interacting with soft bodies. |
Chris Giles; Elie Diaz; Cem Yuksel; |
| 59 | Fluid Simulation on Vortex Particle Flow Maps Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose the Vortex Particle Flow Map (VPFM) method to simulate incompressible flow with complex vortical evolution in the presence of dynamic solid boundaries. |
Sinan Wang; Junwei Zhou; Fan Feng; Zhiqi Li; Yuchen Sun; Duowen Chen; Greg Turk; Bo Zhu; |
| 60 | Clebsch Gauge Fluid on Particle Flow Maps Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel gauge fluid solver that evolves Clebsch wave functions on particle flow maps (PFMs). |
Zhiqi Li; Candong Lin; Duowen Chen; Xinyi Zhou; Shiying Xiong; Bo Zhu; |
| 61 | Cirrus: Adaptive Hybrid Particle-Grid Flow Maps on GPU Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose the adaptive hybrid particle-grid flow map method, a novel flow-map approach that leverages Lagrangian particles to simultaneously transport impulse and guide grid adaptation, introducing a fully adaptive flow map-based fluid simulation framework. |
Mengdi Wang; Fan Feng; Junlin Li; Bo Zhu; |
| 62 | Leapfrog Flow Maps for Real-Time Fluid Simulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose Leapfrog Flow Maps (LFM) to simulate incompressible fluids with rich vortical flows in real time. |
Yuchen Sun; Junlin Li; Ruicheng Wang; Sinan Wang; Zhiqi Li; Bart G. van Bloemen Waanders; Bo Zhu; |
| 63 | Fluid Simulation on Compressible Flow Maps Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a unified compressible flow map framework designed to accommodate diverse compressible flow systems, including high-Mach-number flows (e.g., shock waves and supersonic aircraft), weakly compressible systems (e.g., smoke plumes and ink diffusion), and incompressible systems evolving through compressible acoustic quantities (e.g., free-surface shallow water). |
Duowen Chen; Zhiqi Li; Taiyuan Zhang; Jinjin He; Junwei Zhou; Bart G. van Bloemen Waanders; Bo Zhu; |
| 64 | EDGE: Epsilon-Difference Gradient Evolution for Buffer-Free Flow Maps Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose the Epsilon Difference Gradient Evolution (EDGE) method for accurate flow-map calculation on grids via Hermite interpolation without using velocity buffers. |
Zhiqi Li; Ruicheng Wang; Junlin Li; Duowen Chen; Sinan Wang; Bo Zhu; |
| 65 | Sobol’ Sequences with Guaranteed-Quality 2D Projections Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We prove the existence and construct many 2D Sobol’ sequences having t = 1 using irreducible polynomials p and p2 + p + 1. |
Nicolas Bonneel; David Coeurjolly; Jean-Claude Iehl; Victor Ostromoukhov; |
| 66 | Correct Your Balance Heuristic: Optimizing Balance-style Multiple Importance Sampling Weights Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a general and practical weight correction scheme: We optimize, on-the-fly, a set of correction factors that are multiplied into any baseline MIS heuristic (e.g., balance or power). |
Qingqin Hua; Pascal Grittmann; Philipp Slusallek; |
| 67 | Multiple Importance Reweighting for Path Guiding Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To compute spatio-directional varying combination weights, we propose multiple importance reweighting, leveraging the importance distributions from multiple guiding iterations. |
Zhimin Fan; Yiming Wang; Chenxi Zhou; Ling-Qi Yan; Yanwen Guo; Jie Guo; |
| 68 | Vector-Valued Monte Carlo Integration Using Ratio Control Variates Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Recognizing that rendering and inverse rendering broadly involve vector-valued integrands, we identify the limitations of classical variance reduction methods in this context. To address this, we introduce ratio control variates, an estimator that leverages a ratio-based approach instead of the conventional difference-based control variates. |
Haolin Lu; Delio Vicini; Wesley Chang; Tzu-Mao Li; |
| 69 | Learning to Assemble with Alternative Plans Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a reinforcement learning framework for constructing assemblies composed of rigid parts, which are commonly seen in many historical masonry buildings and bridges. |
Ziqi Wang; Wenjun Liu; Jingwen Wang; Gabriel Vallat; Fan Shi; Stefana Parascho; Maryam Kamgarpour; |
| 70 | Designing Pin-pression Gripper and Learning Its Dexterous Grasping with Online In-hand Adjustment Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a novel design of parallel-jaw grippers drawing inspiration from pin-pression toys. |
Hewen Xiao; Xiuping Liu; Hang Zhao; Jian Liu; Kai Xu; |
| 71 | Creating Fluid-Interactive Virtual Agents By An Efficient Simulator with Local-domain Control Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a novel fluid-solid interaction simulator grounded in an efficient lattice Boltzmann solver. |
Wenbin Song; Heng Zhang; Yang Wang; Xiaopei Liu; |
| 72 | Tiny Is Not Small Enough: High Quality, Low-resource Facial Animation Models Through Hybrid Knowledge Distillation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we explore on-device, real-time facial animation models in the context of game development. |
Zhen Han; Mattias Teye; Derek Yadgaroff; Judith B\{u}tepage; |
| 73 | Transforming Unstructured Hair Strands Into Procedural Hair Grooms Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Many methods also rely on neural priors to infer non-visible inner hair, which can result in poor inner hair structure for complex hairstyles, such as curly hair. We propose an inverse hair grooming pipeline that transforms the imperfect 3D strands from these reconstruction methods into procedural hair grooms that consist of a small set of guide strands and hair grooming operators, inspired by pipelines used by artists in popular 3D modeling tools such as Blender and Houdini. |
Wesley Chang; Andrew L. Russell; Stephane Grabli; Matt Jen-Yuan Chiang; Christophe Hery; Doug Roble; Ravi Ramamoorthi; Tzu-Mao Li; Olivier Maury; |
| 74 | IntrinsicEdit: Precise Generative Image Manipulation in Intrinsic Space Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a versatile workflow for a range of editing tasks which operates in an intrinsic-image latent space, enabling semantic, local manipulation with pixel precision while automatically handling effects like reflections and shadows. |
Linjie Lyu; Valentin Deschaintre; Yannick Hold-Geoffroy; Milo\v{s} Ha\v{s}an; Jae Shin Yoon; Thomas Leimk\{u}hler; Christian Theobalt; Iliyan Georgiev; |
| 75 | MonetGPT: Solving Puzzles Enhances MLLMs’ Image Retouching Skills Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Unfortunately, professional quality retouching involves many individual procedural editing operations that is challenging to plan for most novices. In this paper, we ask if a multimodal large language model (MLLM) can be taught to critique raw photographs, suggest suitable remedies, and finally realize them with a given set of pre-authored procedural image operations. |
Niladri Shekhar Dutt; Duygu Ceylan; Niloy J. Mitra; |
| 76 | NeurCross: A Neural Approach to Computing Cross Fields for Quad Mesh Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing methods generally involve first computing a regular cross field to represent quad element orientations across the surface, followed by extracting a quadrilateral mesh aligned closely with this cross field. A primary challenge with this approach is balancing the smoothness of the cross field with its alignment to pre-computed principal curvature directions, which are sensitive to small surface perturbations and often ill-defined in spherical or planar regions.To tackle this challenge, we propose NeurCross, a novel framework that simultaneously optimizes a cross field and a neural signed distance function (SDF), whose zero-level set serves as a proxy of the input shape. |
Qiujie Dong; Huibiao Wen; Rui Xu; Shuangmin Chen; Jiaran Zhou; Shiqing Xin; Changhe Tu; Taku Komura; Wenping Wang; |
| 77 | Field Smoothness-Controlled Partition for Quadrangulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel partition method for reliable feature-aligned quadrangulation. |
Zhongxuan Liang; Wei Du; Xiao-Ming Fu; |
| 78 | Feature-Aligned Parametrization in Penner Coordinates Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We describe sufficient conditions for obtaining feasible solutions and describe a two-phase method to efficiently enforce feature constraints or minimize residual errors when solutions are unattainable. |
Ryan Capouellez; Rodrigo Singh; Martin Heistermann; David Bommes; Denis Zorin; |
| 79 | Rectangular Surface Parameterization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes a method for computing surface parameterizations that map infinitesimal axis-aligned squares in the plane to infinitesimal rectangles on the surface. |
Etienne Corman; Keenan Crane; |
| 80 | FLoD: Integrating Flexible Level of Detail Into 3D Gaussian Splatting for Customizable Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Conversely, methods that enhance rendering quality require high-end GPU with large VRAM, making such methods impractical for lower-end devices with limited memory capacity. Consequently, 3DGS-based works generally assume a single hardware setup and lack the flexibility to adapt to varying hardware constraints.To overcome this limitation, we propose Flexible Level of Detail (FLoD) for 3DGS. |
Yunji Seo; Young Sun Choi; HyunSeung Son; Youngjung Uh; |
| 81 | When Gaussian Meets Surfel: Ultra-fast High-fidelity Radiance Field Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce Gaussian-enhanced Surfels (GESs), a bi-scale representation for radiance field rendering, wherein a set of 2D opaque surfels with view-dependent colors represent the coarse-scale geometry and appearance of scenes, and a few 3D Gaussians surrounding the surfels supplement fine-scale appearance details. |
Keyang Ye; Tianjia Shao; Kun Zhou; |
| 82 | Boolean Operation for CAD Models Using A Hybrid Representation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel algorithm for efficient and accurate Boolean operations on B-Rep models. |
Yingyu Yang; Xiaohong Jia; Bolun Wang; Jieyin Yang; Shiqing Xin; Dong-Ming Yan; |
| 83 | DeFillet: Detection and Removal of Fillet Regions in Polygonal CAD Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our DeFillet algorithm is inspired by the observation that the rolling-ball center defines an osculating sphere, while the Voronoi diagram of surface samples provides sufficiently many rolling-ball center candidates. |
Jing-En Jiang; Hanxiao Wang; Mingyang Zhao; Dong-Ming Yan; Shuangmin Chen; Shiqing Xin; Changhe Tu; Wenping Wang; |
| 84 | HoLa: B-Rep Generation Using A Holistic Latent Representation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a novel representation for learning and generating Computer-Aided Design (CAD) models in the form of boundary representations (B-Reps). |
Yilin Liu; Duoteng Xu; Xingyao Yu; Xiang Xu; Daniel Cohen-Or; Hao Zhang; Hui Huang; |
| 85 | Practical Inverse Rendering of Textured and Translucent Appearance Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present several novel contributions motivated by the practical challenges of recovering high-resolution surface appearance textures, including spatially-varying subsurface scattering parameters.First, we propose Laplacian mipmapping, which combines differentiable mipmapping and a Laplacian pyramid representation into an effective preconditioner. |
Philippe Weier; J\'{e}r\'{e}my Riviere; Ruslan Guseinov; Stephan Garbin; Philipp Slusallek; Bernd Bickel; Thabo Beeler; Delio Vicini; |
| 86 | Linear-Time Transport with Rectified Flows Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Taking intuitions from recent advances in rectified flows we propose an algorithm that, while not resulting in optimal transport plans, produces transport plans from uniform densities to densities stored on grids that resemble the optimal ones in practice. |
Khoa Do; David Coeurjolly; Pooran Memari; Nicolas Bonneel; |
| 87 | Adaptive Algebraic Reuse of Reordering in Cholesky Factorizations with Dynamic Sparsity Patterns Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce Parth, a fill-reducing ordering method for sparse Cholesky solvers with dynamic sparsity patterns (e.g., in physics simulations with contact or geometry processing with local remeshing). |
Behrooz Zarebavani; Danny M. Kaufman; David I. W. Levin; Maryam Mehri Dehnavi; |
| 88 | MiSo: A DSL for Robust and Efficient Solve and MInimize Problems Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce MiSo, a domain-specific language and compiler for generating efficient C++ code for low-dimensional Minimize and Solve problems, that uses interval methods to guarantee conservative results while using floating point arithmetic. |
Federico Sichetti; Enrico Puppo; Zizhou Huang; Marco Attene; Denis Zorin; Daniele Panozzo; |
| 89 | Shape Space Spectra Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce the first eigenanalysis method for continuously parameterized shape families. |
Yue Chang; Otman Benchekroun; Maurizio M. Chiaramonte; Peter Yichen Chen; Eitan Grinspun; |
| 90 | RigAnything: Template-Free Autoregressive Rigging for Diverse 3D Assets Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present RigAnything, a novel autoregressive transformer-based model, which makes 3D assets rig-ready by probabilistically generating joints and skeleton topologies and assigning skinning weights in a template-free manner. |
Isabella Liu; Zhan Xu; Wang Yifan; Hao Tan; Zexiang Xu; Xiaolong Wang; Hao Su; Zifan Shi; |
| 91 | One Model to Rig Them All: Diverse Skeleton Rigging with UniRig Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce UniRig, a novel, unified framework for automatic skeletal rigging that leverages the power of large autoregressive models and a bone-point cross-attention mechanism to generate both high-quality skeletons and skinning weights. |
Jia-Peng Zhang; Cheng-Feng Pu; Meng-Hao Guo; Yan-Pei Cao; Shi-Min Hu; |
| 92 | 4D Gaussian Videos with Motion Layering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel 4D Gaussian Video (4DGV) approach that enables the creation and streaming of photorealistic, volumetric videos for dynamic scenes over the Internet. |
Pinxuan Dai; Peiquan Zhang; Zheng Dong; Ke Xu; Yifan Peng; Dandan Ding; Yujun Shen; Yin Yang; Xinguo Liu; Rynson W. H. Lau; Weiwei Xu; |
| 93 | On-the-fly Reconstruction for Large-Scale Novel View Synthesis from Unposed Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present an on-the-fly method to produce camera poses and a trained 3DGS immediately after capture. |
Andreas Meuleman; Ishaan Shah; Alexandre Lanvin; Bernhard Kerbl; George Drettakis; |
| 94 | TransparentGS: Fast Inverse Rendering of Transparent Objects with Gaussians Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Currently, even 3D Gaussian Splatting (3D-GS), as a powerful and efficient tool, falls short in recovering transparent objects with nearby contents due to the existence of apparent secondary ray effects. To address this issue, we propose TransparentGS, a fast inverse rendering pipeline for transparent objects based on 3D-GS. |
Letian Huang; Dongwei Ye; Jialin Dan; Chengzhi Tao; Huiwen Liu; Kun Zhou; Bo Ren; Yuanqi Li; Yanwen Guo; Jie Guo; |
| 95 | Generating Past and Future in Digital Painting Processes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a framework to generate past and future processes for drawing process videos. |
Lvmin Zhang; Chuan Yan; Yuwei Guo; Jinbo Xing; Maneesh Agrawala; |
| 96 | Neural Co-Optimization of Structural Topology, Manufacturable Layers, and Path Orientations for Fiber-Reinforced Composites Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a neural network-based computational framework for the simultaneous optimization of structural topology, curved layers, and path orientations to achieve strong anisotropic strength in fiber-reinforced thermoplastic composites while ensuring manufacturability. |
Tao Liu; Tianyu Zhang; Yongxue Chen; Weiming Wang; Yu Jiang; Yuming Huang; Charlie C. L. Wang; |
| 97 | Asymptotic Analysis and Design of Linear Elastic Shell Lattice Metamaterials Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To optimize ADS on general periodic surfaces, we propose a triangular-mesh-based discretization and shape optimization framework. |
Di Zhang; Ligang Liu; |
| 98 | PhysicsFC: Learning User-Controlled Skills for A Physics-Based Football Player Controller Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose PhysicsFC, a method for controlling physically simulated football player characters to perform a variety of football skills-such as dribbling, trapping, moving, and kicking-based on user input, while seamlessly transitioning between these skills. |
Minsu Kim; Eunho Jung; Yoonsang Lee; |
| 99 | ViSA: Physics-based Virtual Stunt Actors for Ballistic Stunts Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce ViSA (Virtual Stunt Actors), an interactive animation system designed to create realistic ballistic stunt actions frequently seen in filmmaking and TV production. |
Minseok Kim; Wonjeong Seo; Sung-Hee Lee; Jungdam Won; |
| 100 | Diffuse-CLoC: Guided Diffusion for Physics-based Character Look-ahead Control Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present Diffuse-CLoC, a guided diffusion framework for physics-based look-ahead control that enables intuitive, steerable, and physically realistic motion generation. |
Xiaoyu Huang; Takara Truong; Yunbo Zhang; Fangzhou Yu; Jean Pierre Sleiman; Jessica Hodgins; Koushil Sreenath; Farbod Farshidian; |
| 101 | MaterialPicker: Multi-Modal DiT-Based Material Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose MaterialPicker, a multi-modal material generator leveraging a Diffusion Transformer (DiT) architecture, improving and simplifying the creation of high-quality materials from text prompts and/or photographs. |
Xiaohe Ma; Valentin Deschaintre; Milo\v{s} Ha\v{s}an; Fujun Luan; Kun Zhou; Hongzhi Wu; Yiwei Hu; |
| 102 | Predicting Fabric Appearance Through Thread Scattering and Inversion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We develop a practical thread scattering model based on simulations of multiple fiber scattering within a thread. |
Mengqi (Mandy) Xia; Zhaoyang Zhang; Sumit Chaturvedi; Yutong Yi; Rundong Wu; Holly Rushmeier; Julie Dorsey; |
| 103 | A Fully-statistical Wave Scattering Model for Heterogeneous Surfaces Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We extend the boundary by introducing a new model that describes the heterogeneous surfaces fully statistically at the microscopic level, with rich geometry and material details that are comparable to the wavelengths of light. |
Zhengze Liu; Yuchi Huo; Yifan Peng; Rui Wang; |
| 104 | Dynamic Mesh Processing on The GPU Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a system for dynamic triangle mesh processing entirely on the GPU. |
Ahmed H. Mahmoud; Serban D. Porumbescu; John D. Owens; |
| 105 | Sphere Carving: Bounding Volumes for Signed Distance Fields Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce Sphere Carving, a novel method for automatically computing bounding volumes that closely bound a procedurally defined implicit surface. |
Hugo Schott; Theo Thonat; Thibaud Lambert; Eric Gu\'{e}rin; Eric Galin; Axel Paris; |
| 106 | In Search of Empty Spheres: 3D Apollonius Diagrams on GPU Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel comprehensive construction algorithm of Apollonius diagrams designed for GPUs. |
Cyprien Plateau-Holleville; Benjamin Stamm; Vincent Nivoliers; Maxime Maria; St\'{e}phane M\'{e}rillou; |
| 107 | UltraMeshRenderer: Efficient Structure and Management of GPU Out-of-core Memory for Real-time Rendering of Gigantic 3D Meshes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address these, we introduce a new GPU out-of-core rendering approach that includes a LOD selection method that takes into account both memory and coherence constraints and a parallel in-place GPU memory management algorithm that efficiently assembles the data of the current frame with GPU-resident data from the previous frame and transferred data. |
Huadong Zhang; Lizhou Cao; Chao Peng; |
| 108 | MyTimeMachine: Personalized Facial Age Transformation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Thus, we propose MyTimeMachine (MyTM), a method that combines a global aging prior with a personalized photo collection (ranging from as few as 10 images, ideally 50) to learn individualized age transformations. |
Luchao Qi; Jiaye Wu; Bang Gong; Annie N. Wang; David W. Jacobs; Roni Sengupta; |
| 109 | Inverse Geometric Locomotion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Accounting for the complex interplay between body deformations and resulting motion, especially through interactions with the environment, poses significant challenges for the design of such pose sequences. We propose a computational framework to address these challenges in scenarios where the motion of a deformable body is entirely determined by dynamic changes of its shape. |
Quentin Becker; Oliver Gross; Mark Pauly; |
| 110 | Improving Global Motion Estimation in Sparse IMU-based Motion Capture with Physics Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, human global motions are still challenging to be reconstructed by IMUs. This paper aims to solve this problem by involving physics. |
Xinyu Yi; Shaohua Pan; Feng Xu; |
| 111 | Instant Self-Intersection Repair for 3D Meshes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a novel framework that transforms local contact handling into a global repair strategy through a combination of local signed tangent-point energies and their gradient diffusion. |
Wonjong Jang; Yucheol Jung; Gyeongmin Lee; Seungyong Lee; |
| 112 | Topological Offsets Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce Topological Offsets, a novel approach to generate manifold and self-intersection-free offset surfaces that are topologically equivalent to an offset infinitesimally close to the surface. |
Daniel Zint; Zhouyuan Chen; Yifei Zhu; Denis Zorin; Teseo Schneider; Daniele Panozzo; |
| 113 | Single Edge Collapse Quad-Dominant Mesh Reduction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we demonstrate that single edge collapse can be used to preserve most input quads without degrading geometric quality. |
Julian Knodt; |
| 114 | TetWeave: Isosurface Extraction Using On-The-Fly Delaunay Tetrahedral Grids for Gradient-Based Mesh Optimization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce TetWeave, a novel isosurface representation for gradient-based mesh optimization that jointly optimizes the placement of a tetrahedral grid used for Marching Tetrahedra and a novel directional signed distance at each point. |
Alexandre Binninger; Ruben Wiersma; Philipp Herholz; Olga Sorkine-Hornung; |
| 115 | HexHex: Highspeed Extraction of Hexahedral Meshes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Consequently, we present HexHex, a novel (unconditionally robust) hexahedral mesh extraction algorithm for locally injective integer-grid maps designed for maximal performance and scalability. |
Tobias Kohler; Martin Heistermann; David Bommes; |
| 116 | A Hybrid Near-wall Model for Kinetic Simulation of Turbulent Boundary Layer Flows Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel hybrid near-wall model for the lattice Boltzmann solver, which can handle turbulent boundary layer flows in a simple and efficient manner, inspired by measuring the degree of boundary layer separation. |
Mengyun Liu; Kai Bai; Xiaopei Liu; |
| 117 | Controllable Complex Freezing Dynamics Simulation on Thin Films Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a novel method for physically simulating the intricate freezing dynamics on thin films. |
Yijie Liu; Taiyuan Zhang; Xiaoxiao Yan; Nuoming Liu; Bo Ren; |
| 118 | Digital Animation of Powder-Snow Avalanches Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a physically-based framework using the Finite Volume Method to simulate powder-snow avalanches under complex terrains. |
Filipe Nascimento; Fabricio S. Sousa; Afonso Paiva; |
| 119 | Arenite: A Physics-based Sandstone Simulator Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce Arenite, a novel physics-based approach for modeling sandstone structures. |
Zhanyu Yang; Aryamaan Jain; Guillaume Cordonnier; Marie-Paule Cani; Zhaopeng Wang; Bedrich Benes; |
| 120 | CK-MPM: A Compact-Kernel Material Point Method Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel C2-continuous compact kernel for MPM that achieves a unique balance in terms of stability, accuracy, and computational efficiency. |
Michael Liu; Xinlei Wang; Minchen Li; |
| 121 | Hand-Shadow Poser Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we study an inverse problem: given a target shape, find the poses of left and right hands that together best produce a shadow resembling the input. |
Hao Xu; Yinqiao Wang; Niloy J. Mitra; Shuaicheng Liu; Pheng-Ann Heng; Chi-Wing Fu; |
| 122 | C-Tubes: Design and Optimization of Tubular Structures Composed of Developable Strips Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce C-tubes, 3D tubular structures composed of developable surface strips. |
Michele Vidulis; Klara Mundilova; Quentin Becker; Florin Isvoranu; Mark Pauly; |
| 123 | Putting Rigid Bodies to Rest Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here we find solutions that would be nearly impossible to find using classical techniques, such as dice with additional unstable faces that provide more natural overall geometry.From a technical point of view, our key observation is that rolling equilibria can be extracted from the Morse-Smale complex of the support function over the Gauss map. |
Hossein Baktash; Nicholas Sharp; Qingnan Zhou; Alec Jacobson; Keenan Crane; |
| 124 | A Versatile Quaternion-Based Constrained Rigid Body Dynamics Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a constrained Rigid Body Dynamics (RBD) that guarantees satisfaction of kinematic constraints, enabling direct simulation of complex mechanical systems with arbitrary kinematic structures. |
Guirec Maloisel; Ruben Grandia; Christian Schumacher; Espen Knoop; Moritz B\{a}cher; |
| 125 | Painless Differentiable Rotation Dynamics Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose the formulation of forward and differentiable rigid-body dynamics using Lie-algebra rotation derivatives. |
Mag\'{\i} Romany\`{a}-Serrasolsas; Juan J. Casafranca; Miguel A. Otaduy; |
| 126 | Geometric Contact Potential Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a systematic derivation of a continuum potential defined for smooth and piecewise smooth surfaces, starting from identifying a set of natural requirements for contact potentials, including the barrier property, locality, differentiable dependence on shape, and absence of forces in rest configurations. |
Zizhou Huang; Maxwell Paik; Zachary Ferguson; Daniele Panozzo; Denis Zorin; |
| 127 | C5D: Sequential Continuous Convex Collision Detection Using Cone Casting Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Due to the large number of colliding surface primitives to process, those methods are computationally intensive and heavily dependent on advanced parallel computing resources such as GPUs, which are often inaccessible due to competing tasks or capped threading capacity in applications like policy training for robotics. To address these limitations, we propose a sequential CCD algorithm for convex shapes undergoing constant affine motion. |
Xiaodi Yuan; Fanbo Xiang; Yin Yang; Hao Su; |
| 128 | Offset Geometric Contact Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel contact model, termed Offset Geometric Contact (OGC), for guaranteed penetration-free simulation of codimensional objects with minimal computational overhead. |
Anka He Chen; Jerry Hsu; Ziheng Liu; Miles Macklin; Yin Yang; Cem Yuksel; |
| 129 | AlignTex: Pixel-Precise Texture Generation from Multi-view Artwork Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: These methods primarily emphasize semantic and subject consistency, which do not meet the requirements of artwork-guided texture workflows. To address this, we present AlignTex, a novel framework for generating high-quality textures from 3D meshes and multi-view artwork, ensuring both appearance detail and geometric consistency. |
Yuqing Zhang; Hao Xu; Yiqian Wu; Sirui Chen; Sirui Lin; Xiang Li; Xifeng Gao; Xiaogang Jin; |
| 130 | The Mokume Dataset and Inverse Modeling of Solid Wood Textures Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present the Mokume dataset for solid wood texturing consisting of 190 cube-shaped samples of various hard and softwood species documented by high-resolution exterior photographs, annual ring annotations, and volumetric computed tomography (CT) scans. A subset of samples further includes photographs along slanted cuts through the cube for validation purposes.Using this dataset, we propose a three-stage inverse modeling pipeline to infer solid wood textures using only exterior photographs. |
Maria Larsson; Hodaka Yamaguchi; Ehsan Pajouheshgar; I-Chao Shen; Kenji Tojo; Chia-Ming Chang; Lars Hansson; Olof Broman; Takashi Ijiri; Ariel Shamir; Wenzel Jakob; Takeo Igarashi; |
| 131 | Claycode: Stylable and Deformable 2D Scannable Codes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces Claycode, a novel 2D scannable code designed for extensive stylization and deformation. |
Marco Maida; Alberto Crescini; Marco Perronet; Elena Camuffo; |
| 132 | Streaming-Aware Neural Monte Carlo Rendering Framework with Unified Denoising-Compression and Client Collaboration Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This technique enables users to perform rendering-related creative tasks, such as 3D product visualization and lighting design, from the comfort of any location using handheld devices, rather than being confined to the front of a noisy heat-generating workstation. |
Hangming Fan; Yuchi Huo; Chuankun Zheng; Chonghao Hu; Yazhen Yuan; Rui Wang; |
| 133 | AssetDropper: Asset Extraction Via Diffusion Models with Reward-Driven Optimization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Although open-world scenes provide ample raw materials for designers, efficiently extracting high-quality, standardized assets remains a challenge. To address this, we introduce AssetDropper, the first generative framework designed to extract any asset from reference images, providing artists with an open-world asset palette. |
Lanjiong Li; Guanhua Zhao; Lingting Zhu; Zeyu Cai; Lequan Yu; Jian Zhang; Zeyu Wang; |
| 134 | EditDuet: A Multi-Agent System for Video Non-Linear Editing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a learning-based approach for enabling effective communication across specialized agents to address the language-driven video editing task. |
Marcelo Sandoval-Casta\~{n}eda; Bryan Russell; Josef Sivic; Gregory Shakhnarovich; Fabian Caba Heilbron; |
| 135 | Guiding-Based Importance Sampling for Walk on Stars Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a guiding-based importance sampling method to reduce the variance of WoSt. |
Tianyu Huang; Jingwang Ling; Shuang Zhao; Feng Xu; |
| 136 | Motion Inversion for Video Customization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present a novel approach for motion customization in video generation, addressing the widespread gap in the exploration of motion representation within video generative models. |
Luozhou Wang; Ziyang Mai; Guibao Shen; Yixun Liang; Xin Tao; Pengfei Wan; Di Zhang; Yijun Li; Ying-Cong Chen; |
| 137 | GaVS: 3D-Grounded Video Stabilization Via Temporally-Consistent Local Reconstruction and Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing approaches, depending on the domain they operate, suffer from several issues (e.g. geometric distortions, excessive cropping, poor generalization) that degrade the user experience. To address these issues, we introduce GaVS, a novel 3D-grounded approach that reformulates video stabilization as a temporally-consistent ‘local reconstruction and rendering’ paradigm. |
Zinuo You; Stamatios Georgoulis; Anpei Chen; Siyu Tang; Dengxin Dai; |
| 138 | Nested Attention: Semantic-aware Attention Values for Concept Personalization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce Nested Attention, a novel mechanism that injects a rich and expressive image representation into the model’s existing cross-attention layers. |
Or Patashnik; Rinon Gal; Daniil Ostashev; Sergey Tulyakov; Kfir Aberman; Daniel Cohen-Or; |
| 139 | Dynamic Concepts Personalization from Single Videos Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Unlike static concepts, personalizing text-to-video models has the potential to capture dynamic concepts – entities defined not only by their appearance but also by their motion.In this paper, we introduce Set-and-Sequence, a novel framework for personalizing Diffusion Transformers (DiTs)–based generative video models with dynamic concepts. |
Rameen Abdal; Or Patashnik; Ivan Skorokhodov; Willi Menapace; Aliaksandr Siarohin; Sergey Tulyakov; Daniel Cohen-Or; Kfir Aberman; |
| 140 | FlexiAct: Towards Flexible Action Control in Heterogeneous Scenarios Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Current methods use pose-guided or global motion customization but are limited by strict constraints on spatial structure such as layout, skeleton, and viewpoint consistency, reducing adaptability across diverse subjects and scenarios. To overcome these limitations, we propose FlexiAct, which transfers actions from a reference video to an arbitrary target image. |
Shiyi Zhang; Junhao Zhuang; Zhaoyang Zhang; Ying Shan; Yansong Tang; |
| 141 | Gaussian Fluids: A Grid-Free Fluid Solver Based on Gaussian Spatial Representation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a grid-free fluid solver featuring a novel Gaussian representation. |
Jingrui Xing; Bin Wang; Mengyu Chu; Baoquan Chen; |
| 142 | Quadtree Tall Cells for Eulerian Liquid Simulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a novel grid structure that extends tall cell methods for efficient deep water simulation. |
Fumiya Narita; Nimiko Ochiai; Takashi Kanai; Ryoichi Ando; |
| 143 | Motion Control Via Metric-Aligning Motion Matching Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a novel method for controlling a motion sequence using an arbitrary temporal control sequence using temporal alignment. |
Naoki Agata; Takeo Igarashi; |
| 144 | AutoKeyframe: Autoregressive Keyframe Generation for Human Motion Synthesis and Editing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce AutoKeyframe, a novel framework that simultaneously accepts dense and sparse control signals for motion generation by generating keyframes directly. |
Bowen Zheng; Ke Chen; Yuxin Yao; Zijiao Zeng; Xinwei Jiang; He Wang; Joan Lasenby; Xiaogang Jin; |
| 145 | AnyTop: Character Animation Diffusion with Any Topology Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we introduce AnyTop, a diffusion model that generates motions for diverse characters with distinct motion dynamics, using only their skeletal structure as input. |
Inbar Gat; Sigal Raab; Guy Tevet; Yuval Reshef; Amit Haim Bermano; Daniel Cohen-Or; |
| 146 | Hyper-Dimensional Deformation Simulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a method for simulating deformable bodies in four spatial dimensions. |
Alvin Shi; Haomiao Wu; Theodore Kim; |
| 147 | A Platform for Interactive AI Character Experiences Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a system and platform for conveniently designing believable digital characters, enabling a conversational and story-driven experience while providing solutions to all of the technical challenges. |
Rafael Wampfler; Chen Yang; Dillon Elste; Nikola Kovacevic; Philine Witzig; Markus Gross; |
| 148 | Learning to Draw Is Learning to See: Analyzing Eye Tracking Patterns for Assisted Observational Drawing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a study in an image-to-image setup, in which artists observe a reference image and draw on a blank canvas on a tablet, capturing a clearer mapping between eye movements and drawn strokes. |
Fengqi Liu; Longji Huang; Zhengyu Huang; Zeyu Wang; |
| 149 | HOIGaze: Gaze Estimation During Hand-Object Interactions in Extended Reality Exploiting Eye-Hand-Head Coordination Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present HOIGaze – a novel learning-based approach for gaze estimation during hand-object interactions (HOI) in extended reality (XR). |
Zhiming Hu; Daniel Haeufle; Syn Schmitt; Andreas Bulling; |
| 150 | ForceGrip: Reference-Free Curriculum Learning for Realistic Grip Force Control in VR Hand Manipulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present ForceGrip, a deep learning agent that synthesizes realistic hand manipulation motions, faithfully reflecting the user’s grip force intention. |
DongHeun Han; Byungmin Kim; RoUn Lee; KyeongMin Kim; Hyoseok Hwang; HyeongYeop Kang; |
| 151 | VirCHEW Reality: On-Face Kinesthetic Feedback for Enhancing Food-Intake Experience in Virtual Reality Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce VirCHEW Reality, a face-worn haptic device designed to provide on-face kinesthetic force feedback, to enhance the virtual food-chewing experience in VR. |
Qingqin Liu; Ziqi Fang; Jiayi Wu; Shaoyu Cai; Jianhui Yan; Tiande Mo; Shuk Ching Chan; Kening Zhu; |
| 152 | Splat and Replace: 3D Reconstruction with Repetitive Elements Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose to leverage those repetitions to improve the reconstruction of low-quality parts of the scene due to poor coverage and occlusions. We propose a method that segments each repeated instance in a 3DGS reconstruction, registers them together, and allows information to be shared among instances. |
Nicolas Violante; Andr\'{e}as Meuleman; Alban Gauthier; Fredo Durand; Thibault Groueix; George Drettakis; |
| 153 | Radiance Surfaces: Optimizing Surface Representations with A 5D Radiance Field Loss Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a fast and simple technique to convert images into a radiance surface-based scene representation. |
Ziyi Zhang; Nicolas Roussel; Thomas Muller; Tizian Zeltner; Merlin Nimier-David; Fabrice Rousselle; Wenzel Jakob; |
| 154 | A Polyhedral Construction of Empty Spheres in Discrete Distance Fields Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The maximal spheres are on the boundary of this set and can be computed by first constructing the intersection of half-spaces, which is a convex hull problem, and then intersecting edges of the hull against the quadric, which are the roots of a univariate quadratic. We demonstrate the method at the example of contouring a discrete signed distance field: every sample of the signed distance field represents an empty spheres and the zero-level contour has to be disjoint from the union of these spheres. |
Maximilian Kohlbrenner; Marc Alexa; |
| 155 | Physics-inspired Estimation of Optimal Cloth Mesh Resolution Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we tackle an important yet often overlooked question: What is the optimal mesh resolution for cloth simulation, without relying on preliminary simulations? |
Diyang Zhang; Zhendong Wang; Zegao Liu; Xinming Pei; Weiwei Xu; Huamin Wang; |
| 156 | Automated Task Scheduling for Cloth and Deformable Body Simulations in Heterogeneous Computing Environments Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a novel framework for automated task scheduling to optimize simulation performance by minimizing communication overhead and aligning tasks with the specific strengths of each device. |
Chengzhu He; Zhendong Wang; Zhaorui Meng; Junfeng Yao; Shihui Guo; Huamin Wang; |
| 157 | Lifting The Winding Number: Precise Discontinuities in Neural Fields for Physics Simulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present Wind Lifter, a novel neural representation designed to accurately model complex cuts in thin-walled deformable structures. |
Yue Chang; Mengfei Liu; Zhecheng Wang; Peter Yichen Chen; Eitan Grinspun; |
| 158 | Text-based Animatable 3D Avatars with Morphable Model Alignment Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We discovered that these limitations stem from ambiguities in the 2D diffusion predictions during 3D avatar distillation, specifically: i) the avatar’s appearance and geometry is underconstrained by the text input, and ii) the semantic alignment between the predictions and the parametric head model is insufficient because the diffusion model alone cannot incorporate information from the parametric model. In this work, we propose a novel framework, AnimPortrait3D, for text-based realistic animatable 3DGS avatar generation with morphable model alignment, and introduce two key strategies to address these challenges. |
Yiqian Wu; Malte Prinzler; Xiaogang Jin; Siyu Tang; |
| 159 | LAM: Large Avatar Model for One-shot Animatable Gaussian Head Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present LAM, an innovative Large Avatar Model for animatable Gaussian head reconstruction from a single image. |
Yisheng He; Xiaodong Gu; Xiaodan Ye; Chao Xu; Zhengyi Zhao; Yuan Dong; Weihao Yuan; Zilong Dong; Liefeng Bo; |
| 160 | SOAP: Style-Omniscient Animatable Portraits Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose SOAP, a style-omniscient framework to generate rigged, topology-consistent avatars from any portrait. |
Tingting Liao; Yujian Zheng; Yuliang Xiu; Adilbek Karmanov; Liwen Hu; Leyang Jin; Hao Li; |
| 161 | Facial Microscopic Structures Synthesis from A Single Unconstrained Image Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose a novel framework designed to reconstruct facial micro-wrinkles and pores from naturally captured images efficiently. |
Youyang Du; Lu Wang; Beibei Wang; |
| 162 | MASH: Masked Anchored SpHerical Distances for 3D Shape Representation and Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce Masked Anchored SpHerical Distances (MASH), a novel multi-view and parametrized representation of 3D shapes. |
Changhao Li; Yu Xin; Xiaowei Zhou; Ariel Shamir; Hao Zhang; Ligang Liu; Ruizhen Hu; |
| 163 | Unsupervised Decomposition of 3D Shapes Into Expressive and Editable Extruded Profile Primitives Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce 3D2EP, a novel method for 3D shape decomposition that represents objects as a collection of differentiable, parametric primitives. |
Chunyi Sun; Junlin Han; Runjia Li; Weijian Deng; Dylan Campbell; Stephen Gould; |
| 164 | OctGPT: Octree-based Multiscale Autoregressive Models for 3D Shape Generation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce OctGPT, a novel multiscale autoregressive model for 3D shape generation that dramatically improves the efficiency and performance of prior 3D autoregressive approaches, while rivaling or surpassing state-of-the-art diffusion models. |
Si-Tong Wei; Rui-Huan Wang; Chuan-Zhi Zhou; Baoquan Chen; Peng-Shuai Wang; |
| 165 | Spherical Lighting with Spherical Harmonics Hessian Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a second-order derivative of spherical harmonics, spherical harmonics Hessian, and solid spherical harmonics, a variant of spherical harmonics, to the computer graphics community. |
Kei Iwasaki; Yoshinori Dobashi; |
| 166 | Guided Lens Sampling for Efficient Monte Carlo Circle-of-Confusion Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a guided lens sampling method for efficient rendering of circles of confusion (CoCs). |
Jiawei Huang; Shaokun Zheng; Kun Xu; Yoshifumi Kitamura; Jiaping Wang; |
| 167 | Reservoir Splatting for Temporal Path Resampling and Motion Blur Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce reservoir splatting to reduce these failures. Splatting forward-projects the primary hits of prior-frame paths. |
Jeffrey Liu; Daqi Lin; Markus Kettunen; Chris Wyman; Ravi Ramamoorthi; |
| 168 | Kernel Predicting Neural Shadow Maps Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, it demonstrates limited generalizability to new scenes. In this paper, we present a novel neural method, named kernel predicting neural shadow mapping to address this issue. |
Xuejun Hu; Jinfan Lu; Kun Xu; |
| 169 | Stroke Transfer for Participating Media Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a method for generating stroke-based painterly drawings of participating media, such as smoke, fire, and clouds, by transferring stroke attributes—color, width, length, and orientation—from exemplar to animation frames. |
Naoto Shirashima; Hideki Todo; Yuki Yamaoka; Shizuo Kaji; Kunihiko Kobayashi; Haruna Shimotahira; Yonghao Yue; |
| 170 | Modeling and Rendering Glow Discharge Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In the real world, photons are emitted through numerous physical processes including combustion, incandescence, and fluorescence. The qualities of light produced in each of these processes are unique to their physics, making them interesting to study individually.In this work, we propose a model for glow discharge, a form of light-emitting electrostatic discharge commonly found in Neon lights and gas discharge lamps. |
Venkataram Edavamadathil Sivaram; Ravi Ramamoorthi; Tzu-Mao Li; |
| 171 | Painting with 3D Gaussian Splat Brushes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In particular, we propose a set of algorithms for 1) selecting subsets of Gaussians as a brush pattern interactively, 2) applying the brush interactively to the same or other 3DGS scenes or other 3D surfaces using stamp-based painting, 3) using an inpainting Diffusion Model to adjust stamp seams for seamless and realistic appearance. |
Karran Pandey; Anita Hu; Clement Fuji Tsang; Or Perel; Karan Singh; Maria Shugrina; |
| 172 | What Is HDR? Perceptual Impact of Luminance and Contrast in Immersive Displays Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper studies the perceptual impact of peak luminance and contrast of a display, including characteristics and use cases representative of VR. |
Kenneth Chen; Nathan Matsuda; Jon McElvain; Yang Zhao; Thomas Wan; Qi Sun; Alexandre Chapiro; |
| 173 | FaceExpressions-70k: A Dataset of Perceived Expression Differences Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, quantifying perceived differences between pairs of expressions is difficult, and no comprehensive subjective datasets are available for testing. This work introduces a new dataset targeting this problem: FaceExpressions-70k. |
Avinab Saha; Yu-Chih Chen; Jean-Charles Bazin; Christian H\{a}ne; Ioannis Katsavounidis; Alexandre Chapiro; Alan Bovik; |
| 174 | Towards Understanding Depth Perception in Foveated Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present the first evaluation exploring the effects of foveated rendering on stereoscopic depth perception. |
Sophie Kerga\ss{}ner; Taimoor Tariq; Piotr Didyk; |
| 175 | Fast Physics-Based Modeling of Knots and Ties Using Templates Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a physics-based modeling system for knots and ties using templates. |
Dewen Guo; Zhendong Wang; Zegao Liu; Sheng Li; Guoping Wang; Yin Yang; Huamin Wang; |
| 176 | Intersection-Free Garment Retargeting Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, the goal is to retarget artist-designed garments on a standard mannequin to a more general class of avatars. |
Zizhou Huang; Chrystiano Ara\'{u}jo; Andrew Kunz; Denis Zorin; Daniele Panozzo; Victor Zordan; |
| 177 | Rags2Riches: Computational Garment Reuse Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present the first algorithm to automatically compute sewing patterns for upcycling existing garments into new designs. |
Anran Qi; Nico Pietroni; Maria Korosteleva; Olga Sorkine-Hornung; Adrien Bousseau; |
| 178 | GarmentImage: Raster Encoding of Garment Sewing Patterns with Diverse Topologies Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce GarmentImage, a unified raster-based sewing pattern representation. |
Yuki Tatsukawa; Anran Qi; I-Chao Shen; Takeo Igarashi; |
| 179 | Single View Garment Reconstruction Using Diffusion Mapping Via Pattern Coordinates Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a novel method for high-fidelity 3D garment reconstruction from single images that bridges 2D and 3D representations. |
Ren Li; Cong Cao; Corentin Dumery; Yingxuan You; Hao Li; Pascal Fua; |
| 180 | RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present RenderFormer, a neural rendering pipeline that directly renders an image from a triangle-based representation of a scene with full global illumination effects and that does not require per-scene training or fine-tuning. |
Chong Zeng; Yue Dong; Pieter Peers; Hongzhi Wu; Xin Tong; |
| 181 | Dual-Band Feature Fusion for Neural Global Illumination with Multi-Frequency Reflections Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a novel neural global illumination approach that enables multi-frequency reflections in dynamic scenes. |
Shaohua Mo; Chuankun Zheng; Zihao Lin; Dianbing Xi; Qi Ye; Rui Wang; Hujun Bao; Yuchi Huo; |
| 182 | Gaussian Compression for Precomputed Indirect Illumination Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, as the scale of the scenes continues to expand, the demand for storage space and runtime memory for light probes also increases substantially. To address this issue, we propose a novel Gaussian fitting compression technique specifically designed for light field probes, which enables the use of denser samples to describe illumination in complex scenes. |
Zhi Zhou; Chao Li; Zhenyuan Zhang; Mingcong Tang; Zibin Li; Shuhang Luan; Zhangjin Huang; |
| 183 | Neural Importance Sampling of Many Lights Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a neural approach for estimating spatially varying light selection distributions to improve importance sampling in Monte Carlo rendering, particularly for complex scenes with many light sources. |
Pedro Figueiredo; Qihao He; Steve Bako; Nima Khademi Kalantari; |
| 184 | XADA: Controllable and Expressive Audio-Driven Animation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce xADA, a generative model for creating expressive and realistic animation of the face, tongue, and head directly from speech audio. |
Sarah Taylor; Salvador Medina; Jonathan Windle; Erica Alcusa S\'{a}ez; Iain Matthews; |
| 185 | DuetGen: Music Driven Two-Person Dance Generation Via Hierarchical Masked Modeling Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present DuetGen, a novel framework for generating interactive two-person dances from music. |
Anindita Ghosh; Bing Zhou; Rishabh Dabral; Jian Wang; Vladislav Golyanik; Christian Theobalt; Philipp Slusallek; Chuan Guo; |
| 186 | ELGAR: Expressive Cello Performance Motion Generation for Audio Rendition Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To emphasize the interactive nature of the instrument performance, we introduce Hand Interactive Contact Loss (HICL) and Bow Interactive Contact Loss (BICL), which effectively guarantee the authenticity of the interplay. |
Zhiping Qiu; Yitong Jin; Yuan Wang; Yi Shi; Chao Tan; Chongwu Wang; Xiaobing Li; Feng Yu; Tao Yu; Qionghai Dai; |
| 187 | Motion-example-controlled Co-speech Gesture Generation Leveraging Large Language Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present MECo, a framework for motion-example-controlled co-speech gesture generation by leveraging large language models (LLMs). |
Bohong Chen; Yumeng Li; Youyi Zheng; Yao-Xiang Ding; Kun Zhou; |
| 188 | Semantically Consistent Text-to-Motion with Unsupervised Styles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Additionally, they have not fully explored the temporal correlations between motion, textual descriptions, and style, making it challenging to generate semantically consistent motion with precise style alignment. To address these limitations, we introduce a novel method that integrates unsupervised style from arbitrary references into a text-driven diffusion model to generate semantically consistent stylized human motion. |
Linjun Wu; Xiangjun Tang; Jingyuan Cong; He Wang; Bo Hu; Xu Gong; Songnan Li; Yuchen Liao; Yiqian Wu; Chen Liu; Xiaogang Jin; |
| 189 | On Planar Shape Interpolation With Logarithmic Metric Blending Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present an interpolation method for planar shapes using logarithmic metric blending. |
Alon Feldman; Mirela Ben-Chen; |
| 190 | Flexible 3D Cage-based Deformation Via Green Coordinates on B\'{e}zier Patches Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Given that the coordinates are approximately calculated through the Riemann summation, we propose a global projection technique to ensure that the coordinates accurately conform to the linear reproduction property. |
Dong Xiao; Renjie Chen; |
| 191 | CageNet: A Meta-Framework for Learning on Wild Meshes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While some of these applications are tackled through neural network architectures which are tailored to the application at hand, many others use generic frameworks for triangle meshes where the only customization required is the modification of the input features and the loss function. Our goal in this paper is to broaden the applicability of these generic frameworks to “wild” meshes, i.e. meshes in-the-wild which often have multiple components, non-manifold elements, disrupted connectivity, or a combination of these. |
Michal Edelstein; Hsueh-Ti Derek Liu; Mirela Ben-Chen; |
| 192 | CineMaster: A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present CineMaster, a novel framework for 3D-aware and controllable text-to-video generation. |
Qinghe Wang; Yawen Luo; Xiaoyu Shi; Xu Jia; Huchuan Lu; Tianfan Xue; Xintao Wang; Pengfei Wan; Di Zhang; Kun Gai; |
| 193 | MotionCanvas: Cinematic Shot Design with Controllable Image-to-Video Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a method that allows users to design cinematic video shots in the context of image-to-video generation. |
Jinbo Xing; Long Mai; Cusuh Ham; Jiahui Huang; Aniruddha Mahapatra; Chi-Wing Fu; Tien-Tsin Wong; Feng Liu; |
| 194 | Diffusion As Shader: 3D-aware Video Diffusion for Versatile Video Generation Control Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce Diffusion as Shader (DaS), a novel approach that supports multiple video control tasks within a unified architecture. |
Zekai Gu; Rui Yan; Jiahao Lu; Peng Li; Zhiyang Dou; Chenyang Si; Zhen Dong; Qifeng Liu; Cheng Lin; Ziwei Liu; Wenping Wang; Yuan Liu; |
| 195 | Mobius: Text to Seamless Looping Video Generation Via Latent Shift Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present Mobius, a novel method to generate seamlessly looping videos from text descriptions directly without any user annotations, thereby creating new visual materials for the multi-media presentation. |
Xiuli Bi; Jianfei Yuan; Bo Liu; Yong Zhang; Xiaodong Cun; Chi-Man Pun; Bin Xiao; |
| 196 | LayerFlow: A Unified Model for Layer-aware Video Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present LayerFlow, a unified solution for layer-aware video generation. |
Sihui Ji; Hao Luo; Xi Chen; Yuanpeng Tu; Yiyang Wang; Hengshuang Zhao; |
| 197 | Generative Video Matting Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose to solve the problem from two perspectives. |
Yongtao Ge; Kangyang Xie; Guangkai Xu; Li Ke; Mingyu Liu; Longtao Huang; Hui Xue; Hao Chen; Chunhua Shen; |
| 198 | Image-space Adaptive Sampling for Fast Inverse Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a novel image-space adaptive sampling framework to accelerate inverse rendering by dynamically adjusting pixel sampling probabilities based on gradient variance and contribution to the loss function. |
Kai Yan; Cheng Zhang; S\'{e}bastien Speierer; Guangyan Cai; Yufeng Zhu; Zhao Dong; Shuang Zhao; |
| 199 | James-Stein Gradient Combiner for Inverse Monte Carlo Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a gradient combiner that blends unbiased and biased gradients in parameter space instead of relying solely on one gradient type (i.e., unbiased or biased). |
Jeongmin Gu; Bochang Moon; |
| 200 | StableMakeup: When Real-World Makeup Transfer Meets Diffusion Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce Stable-Makeup, a novel diffusion-based makeup transfer method capable of robustly transferring a wide range of real-world makeup, onto user-provided faces. |
Yuxuan Zhang; Yirui Yuan; Yiren Song; Jiaming Liu; |
| 201 | FashionComposer: Compositional Fashion Image Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present FashionComposer for compositional fashion image generation. |
Sihui Ji; Yiyang Wang; Xi Chen; Xiaogang Xu; Hao Luo; Hengshuang Zhao; |
| 202 | Scene-Level Appearance Transfer with Semantic Correspondences Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce ReStyle3D, a novel framework for scene-level appearance transfer from a single style image to a real-world scene represented by multiple views. |
Liyuan Zhu; Shengqu Cai; Shengyu Huang; Gordon Wetzstein; Naji Khosravan; Iro Armeni; |
| 203 | 3D Stylization Via Large Reconstruction Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We discover that the certain attention blocks in these models capture the appearance specific features. By injecting features from a visual style image to such blocks, we develop a simple yet effective 3D appearance stylization method. |
Ipek Oztas; Duygu Ceylan; Aysegul Dundar; |
| 204 | Style Customization of Text-to-Vector Generation with Image Diffusion Priors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address these challenges, we propose a novel two-stage style customization pipeline for SVG generation, making use of the advantages of both feed-forward T2V models and T2I image priors. |
Peiying Zhang; Nanxuan Zhao; Jing Liao; |
| 205 | Cobra: Efficient Line Art COlorization with BRoAder References Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We investigate the necessity of extensive contextual image guidance on the quality of line art colorization. To address these challenges, we introduce Cobra, an efficient and versatile method that supports color hints and utilizes over 200 reference images while maintaining low latency. |
Junhao Zhuang; Lingen Li; Xuan Ju; Zhaoyang Zhang; Chun Yuan; Ying Shan; |
| 206 | Spline Deformation Field Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To model knot characteristics in both spatial and temporal domains, we introduce a novel low-rank time-variant spatial encoding, replacing conventional coupled spatiotemporal techniques. |
Mingyang Song; Yang Zhang; Marko Mihajlovic; Siyu Tang; Markus Gross; Tun\c{c} Ozan Ayd\i{}n; |
| 207 | Stable Cosserat Rods Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce stable Cosserat rods, a new solver that can achieve high accuracy with high stiffness levels and maintain stability under large time steps. |
Jerry Hsu; Tongtong Wang; Kui Wu; Cem Yuksel; |
| 208 | Variational Elastodynamic Simulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In particular, we propose an Alternating Direction Method of Multipliers (ADMM) algorithm combined with a proximal operator step to solve our formulation. |
Leticia Mattos Da Silva; Silvia Sell\'{a}n; Natalia Pacheco-Tallaj; Justin Solomon; |
| 209 | CLR-Wire: Towards Continuous Latent Representations for 3D Curve Wireframe Generation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce CLR-Wire, a novel framework for 3D curve-based wireframe generation that integrates geometry and topology into a unified Continuous Latent Representation. |
Xueqi Ma; Yilin Liu; Tianlong Gao; Qirui Huang; Hui Huang; |
| 210 | PDT: Point Distribution Transformation with Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present PDT, a novel framework for point distribution transformation with diffusion models. |
Jionghao Wang; Cheng Lin; Yuan Liu; Rui Xu; Zhiyang Dou; Xiaoxiao Long; Haoxiang Guo; Taku Komura; Wenping Wang; Xin Li; |
| 211 | RELATE3D: REfocusing Latent Adapter for Targeted Local Enhancement and Editing in 3D Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, achieving local enhancement and editing of the generated 3D models remains a challenge due to the limited understanding of the relationship between text,images,and 3D in terms of local semantics and feature space.We explore and reveal the characteristics of the native 3D latent space, make it decomposable and low-rank, thereby enabling efficient and effective learning for multimodal local alignment. Based on this, we introduce RELATE3D, a novel approach that combines a Refocusing Adapter with part-to-latent correspondence guided training for precise local enhancement and part-level editing of 3D geometry. |
Xiao-Lei Li; Hao-Xiang Chen; Yanni Zhang; Kai Ma; Alan Zhao; Tai-Jiang Mu; Hao-Xiang Guo; Ran Zhang; |
| 212 | Drag Your Gaussian: Effective Drag-Based Editing with Score Distillation for 3D Gaussian Splatting Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While existing methods excel at text-guided texture modifications for 3D representations like 3D Gaussian Splatting (3DGS), they struggle with geometric transformations (e.g., rotating a character’s head) and lack precise spatial control over edits due to the inherent ambiguity of language-driven guidance. To address these limitations, we introduce DYG, a 3D drag-based editing framework for 3DGS. |
Yansong Qu; Dian Chen; Xinyang Li; Xiaofan Li; Shengchuan Zhang; Liujuan Cao; Rongrong Ji; |
| 213 | CMD: Controllable Multiview Diffusion for 3D Editing and Progressive Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a new method called CMD that generates a 3D model from an input image while enabling flexible local editing of each component of the 3D model. |
Peng Li; Suizhi Ma; Jialiang Chen; Yuan Liu; Congyi Zhang; Wei Xue; Wenhan Luo; Alla Sheffer; Wenping Wang; Yike Guo; |
| 214 | SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To train SwiftSketch, we construct a synthetic dataset of image-sketch pairs, addressing the limitations of existing sketch datasets, which are often created by non-artists and lack professional quality. For generating these synthetic sketches, we introduce ControlSketch, a method that enhances SDS-based techniques by incorporating precise spatial control through a depth-aware ControlNet. |
Ellie Arar; Yarden Frenkel; Daniel Cohen-Or; Ariel Shamir; Yael Vinker; |
| 215 | Histogram Stratification for Spatio-Temporal Reservoir Sampling Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a two step approach that first organizes samples candidates into local histograms and then sample the histogram using Quasi Monte Carlo and antithetic patterns. |
Corentin Sala\{u}n; Martin Balint; Laurent Belcour; Eric Heitz; Gurprit Singh; Karol Myszkowski; |
| 216 | Practical Stylized Nonlinear Monte Carlo Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a practical approach for rendering scenes with SRE at a tractable cost. |
Xiaochun Tong; Toshiya Hachisuka; |
| 217 | AMOR: Adaptive Character Control Through Multi-Objective Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Furthermore, for robotics applications, the weights need to be chosen such that the policy performs well in the real world, despite inevitable sim-to-real gaps. To address these challenges, we propose a multi-objective reinforcement learning framework that trains a single policy conditioned on a set of weights, spanning the Pareto front of reward trade-offs. |
Lucas N. Alegre; Agon Serifi; Ruben Grandia; David M\{u}ller; Espen Knoop; Moritz B\{a}cher; |
| 218 | CueTip: An Interactive and Explainable Physics-aware Pool Assistant Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present an interactive and explainable automated coaching assistant called CueTip for a variant of pool/billiards. |
Sean Memery; Kevin Denamgana\{\i}; Jiaxin Zhang; Zehai Tu; Yiwen Guo; Kartic Subr; |
| 219 | Aerial Path Online Planning for Urban Scene Updation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present the first scene-update aerial path planning algorithm specifically designed for detecting and updating change areas in urban environments. |
Mingfeng Tang; Ningna Wang; Ziyuan Xie; Jianwei Hu; Ke Xie; Xiaohu Guo; Hui Huang; |
| 220 | Model See Model Do: Speech-Driven Facial Animation with Style Control Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel example-based generation framework that conditions a latent diffusion model on a reference style clip to produce highly expressive and temporally coherent facial animations. |
Yifang Pan; Karan Singh; Luiz Gustavo Hafemann; |
| 221 | StreamME: Simplify 3D Gaussian Avatar Within Live Stream Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose StreamME, a method focuses on fast 3D avatar reconstruction. |
Luchuan Song; Yang Zhou; Zhan Xu; Yi Zhou; Deepali Aneja; Chenliang Xu; |
| 222 | ScaffoldAvatar: High-Fidelity Gaussian Avatars with Patch Expressions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To capture the expressive, detailed nature of human heads, including skin furrowing and finer-scale facial movements, we propose to couple locally-defined facial expressions with 3D Gaussian splatting to enable creating ultra-high fidelity, expressive and photorealistic 3D head avatars. |
Shivangi Aneja; Sebastian Weiss; Irene Baeza; Prashanth Chandran; Gaspard Zoss; Matthias Niessner; Derek Bradley; |
| 223 | SqueezeMe: Mobile-Ready Distillation of Gaussian Full-Body Avatars Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present SqueezeMe, a simple and highly effective framework to convert high-fidelity 3D Gaussian full-body avatars into a lightweight representation that supports both animation and rendering with mobile-grade compute. |
Forrest Iandola; Stanislav Pidhorskyi; Igor Santesteban; Divam Gupta; Anuj Pahuja; Nemanja Bartolovic; Frank Yu; Emanuel Garbin; Tomas Simon; Shunsuke Saito; |
| 224 | Be Decisive: Noise-Induced Layouts for Multi-Subject Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce a new approach that predicts a spatial layout aligned with the prompt, derived from the initial noise, and refines it throughout the denoising process. |
Omer Dahary; Yehonathan Cohen; Or Patashnik; Kfir Aberman; Daniel Cohen-Or; |
| 225 | Cora: Correspondence-aware Image Editing Using Few Step Diffusion Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Existing few step editing approaches produce artifacts such as irrelevant texture or struggle to preserve key attributes of the source image (e.g., pose). We introduce Cora , a novel editing framework that addresses these limitations by introducing correspondence-aware noise correction and interpolated attention maps. |
Amirhossein Alimohammadi; Aryan Mikaeili; Sauradip Nag; Negar Hassanpour; Andrea Tagliasacchi; Ali Mahdavi-Amiri; |
| 226 | 3D-Fixup: Advancing Photo Editing with 3D Priors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Despite significant advances in modeling image priors via diffusion models, 3D-aware image editing remains challenging, in part because the object is only specified via a single image. To tackle this challenge, we propose 3D-Fixup, a new framework for editing 2D images guided by learned 3D priors. |
Yen-Chi Cheng; Krishna Kumar Singh; Jae Shin Yoon; Alexander Schwing; Liang-Yan Gui; Matheus Gadelha; Paul Guerrero; Nanxuan Zhao; |
| 227 | PartEdit: Fine-Grained Image Editing Using Pre-Trained Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present the first text-based image editing approach for object parts based on pre-trained diffusion models. |
Aleksandar Cvejic; Abdelrahman Eldesokey; Peter Wonka; |
| 228 | Instance Segmentation of Scene Sketches Using Natural Image Priors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce InkLayer, a method for instance segmentation of raster scene sketches. |
Mia Tang; Yael Vinker; Chuan Yan; Lvmin Zhang; Maneesh Agrawala; |
| 229 | Power-Linear Polar Directional Fields Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a novel method for directional-field design on meshes, enabling users to specify singularities at any location on a mesh. |
Jiabao Brad Wang; Amir Vaxman; |
| 230 | Divide-and-Conquer Embedding Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an exact method for embedding a disk-topology triangular mesh onto any convex polygon. |
Yuan-Yuan Cheng; Qing Fang; Ligang Liu; Xiao-Ming Fu; |
| 231 | 3DGS2: Near Second-order Converging 3D Gaussian Splatting Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Consequently, training often requires tens of minutes, even with GPU acceleration. This paper introduces a (near) second-order convergent training algorithm for 3DGS, leveraging its unique properties. |
Lei Lan; Tianjia Shao; Zixuan Lu; Yu Zhang; Chenfanfu Jiang; Yin Yang; |
| 232 | Virtualized 3D Gaussians: Flexible Cluster-based Level-of-Detail System for Real-Time Rendering of Composed Scenes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, when applied to large-scale compositions, such as crowd-level scenes, it can encompass numerous 3D Gaussians, posing substantial challenges for real-time rendering. To address this, inspired by Unreal Engine 5’s Nanite system, we propose Virtualized 3D Gaussians (V3DG), a cluster-based LOD solution that constructs hierarchical 3D Gaussian clusters and dynamically selects only the necessary ones to accelerate rendering speed. |
Xijie Yang; Linning Xu; Lihan Jiang; Dahua Lin; Bo Dai; |
| 233 | Deformable Beta Splatting Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce Deformable Beta Splatting (DBS), a deformable and compact approach that enhances both geometry and color representation. |
Rong Liu; Dylan Sun; Meida Chen; Yue Wang; Andrew Feng; |
| 234 | Image-GS: Content-Adaptive Image Representation Via 2D Gaussians Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Combined with learning-based workflows, they demonstrate impressive trade-offs between visual fidelity and memory footprint. Existing methods in this domain, however, often rely on fixed data structures that suboptimally allocate memory or compute-intensive implicit models, hindering their practicality for real-time graphics applications.Inspired by recent advancements in radiance field rendering, we introduce Image-GS, a content-adaptive image representation based on 2D Gaussians. |
Yunxiang Zhang; Bingxuan Li; Alexandr Kuznetsov; Akshay Jindal; Stavros Diolatzis; Kenneth Chen; Anton Sochenov; Anton Kaplanyan; Qi Sun; |
| 235 | BrepDiff: Single-Stage B-rep Diffusion Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In contrast, we propose BrepDiff, a single-stage diffusion model for B-rep generation. |
Mingi Lee; Dongsu Zhang; Cl\'{e}ment Jambon; Young Min Kim; |
| 236 | Stitch-A-Shape: Bottom-up Learning for B-Rep Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present Stitch-A-Shape, a B-Rep generation framework that directly models both topology and geometry. |
Pu Li; Wenhao Zhang; Jinglu Chen; Dongming Yan; |
| 237 | Physically Controllable Relighting of Photographs Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a self-supervised approach to in-the-wild image relighting that enables fully controllable, physically based illumination editing. |
Chris Careaga; Ya\u{g}\i{}z Aksoy; |
| 238 | LightLab: Controlling Light Sources in Images with Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a simple, yet effective diffusion-based method for fine-grained, parametric control over light sources in an image. |
Nadav Magar; Amir Hertz; Eric Tabellion; Yael Pritch; Alex Rav-Acha; Ariel Shamir; Yedid Hoshen; |
| 239 | Spatiotemporally Consistent Indoor Lighting Estimation with Diffusion Priors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a method that estimates from an input video a continuous light field describing the spatiotemporally varying lighting of the scene. |
Mutian Tong; Rundi Wu; Changxi Zheng; |
| 240 | GSHeadRelight: Fast Relightability for 3D Gaussian Head Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We resort to recent progress on generative 3D Gaussians and design a lighting model based on a unified neural radiance transfer representation, which responds linearly to incident light. |
Henglei Lv; Bailin Deng; Jianzhu Guo; Xiaoqiang Liu; Pengfei Wan; Di Zhang; Lin Gao; |
| 241 | LayerPano3D: Layered 3D Panorama for Hyper-Immersive Scene Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, the generated scene suffers from semantic drift during expansion and is unable to handle occlusion among scene hierarchies. To tackle these challenges, we introduce LayerPano3D, a novel framework for full-view, explorable panoramic 3D scene generation from a single text prompt. |
Shuai Yang; Jing Tan; Mengchen Zhang; Tong Wu; Gordon Wetzstein; Ziwei Liu; Dahua Lin; |
| 242 | Accelerated Gamut Discovery Via Massive Parallelization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a scalable framework for efficiently discovering the performance gamut of different processes. |
Navid Ansari; Hans-Peter Seidel; Vahid Babaei; |
| 243 | MGPBD: A Multigrid Accelerated Global XPBD Solver Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a novel Unsmoothed Aggregation (UA) Algebraic Multigrid (AMG) method combined with Preconditioned Conjugate Gradient (PCG) to overcome the limitations of Extended Position-Based Dynamics (XPBD) in high-resolution and high-stiffness simulations. |
Chunlei Li; Peng Yu; Tiantian Liu; Siyuan Yu; Yuting Xiao; Shuai Li; Aimin Hao; Yang Gao; Qinping Zhao; |
| 244 | Anymate: A Dataset and Baselines for Learning 3D Object Rigging Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present the Anymate Dataset, a large-scale dataset of 230K 3D assets paired with expert-crafted rigging and skinning information—70 times larger than existing datasets. Using this dataset, we propose a learning-based auto-rigging framework with three sequential modules for joint, connectivity, and skinning weight prediction. |
Yufan Deng; Yuhao Zhang; Chen Geng; Shangzhe Wu; Jiajun Wu; |
| 245 | Multi-Person Interaction Generation from Two-Person Motion Priors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present Graph-driven Interaction Sampling, a method that can generate realistic and diverse multi-person interactions by leveraging existing two-person motion diffusion models as motion priors. |
Wenning Xu; Shiyu Fan; Paul Henderson; Edmond S. L. Ho; |
| 246 | Large-Scale Multi-Character Interaction Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a conditional generative pipeline comprising a coordinatable multi-character interaction space for interaction synthesis and a transition planning network for coordinations. |
Ziyi Chang; He Wang; George Koulieris; Hubert P. H. Shum; |
| 247 | SkillMimic-V2: Learning Robust and Generalizable Interaction Skills from Sparse and Noisy Demonstrations Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Our key insight is that despite noisy and sparse demonstrations, there exist infinite physically feasible trajectories that naturally bridge between demonstrated skills or emerge from their neighboring states, forming a continuous space of possible skill variations and transitions. Building upon this insight, we present two data augmentation techniques: a Stitched Trajectory Graph (STG) that discovers potential transitions between demonstration skills, and a State Transition Field (STF) that establishes unique connections for arbitrary states within the demonstration neighborhood. |
Runyi Yu; Yinhuai Wang; Qihan Zhao; Hok Wai Tsui; Jingbo Wang; Ping Tan; Qifeng Chen; |
| 248 | Splat4D: Diffusion-Enhanced 4D Gaussian Splatting for Temporally and Spatially Consistent Content Creation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Generating high-quality 4D content from monocular videos—for applications such as digital humans and AR/VR—poses challenges in ensuring temporal and spatial consistency, preserving intricate details, and incorporating user guidance effectively. To overcome these challenges, we introduce Splat4D, a novel framework enabling high-fidelity 4D content generation from a monocular video. |
Minghao Yin; Yukang Cao; Songyou Peng; Kai Han; |
| 249 | Photoreal Scene Reconstruction from An Egocentric Device Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we investigate the challenges associated with using egocentric devices to photorealistic reconstruct the scene in high dynamic range. |
Zhaoyang Lv; Maurizio Monge; Ka Chen; Yufeng Zhu; Michael Goesele; Jakob Engel; Zhao Dong; Richard Newcombe; |
| 250 | Monocular Online Reconstruction with Enhanced Detail Preservation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an online 3D Gaussian-based dense mapping framework for photorealistic details reconstruction from a monocular image stream. |
Songyin Wu; Zhaoyang Lv; Yufeng Zhu; Duncan Frost; Zhengqin Li; Ling-Qi Yan; Carl Ren; Richard Newcombe; Zhao Dong; |
| 251 | POps: Photo-Inspired Diffusion Operators Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Yet, the specific meaning of these operations can vary unpredictably across different images. To harness this potential, we introduce pOps, a framework that trains specific semantic operators directly on CLIP image embeddings. |
Elad Richardson; Yuval Alaluf; Ali Mahdavi-Amiri; Daniel Cohen-Or; |
| 252 | Pocket Time-Lapse Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our central contribution lies in demonstrating pocket time-lapse as a novel application, made possible through several key technical contributions. These include a novel method for quickly and robustly registering thousands of unstructured panoramic images, a novel reconstruction technique for rendering time-lapse and performing state-of-the-art intrinsic image decomposition, and several large hand-captured datasets that span multiple years of data collection, totaling over 6k separate capture sessions and 50k images. |
Eric Chen; \v{Z}iga Kova\v{c}i\v{c}; Madhav Aggarwal; Abe Davis; |
| 253 | InstanceGen: Image Generation with Instance-level Instructions Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we take the idea of structural guidance a step further by making the observation that contemporary image generation models can directly provide a plausible fine-grained structural initialization. |
Etai Sella; Yanir Kleiman; Hadar Averbuch-Elor; |
| 254 | IP-Prompter: Training-Free Theme-Specific Image Generation Via Dynamic Visual Prompting Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper explores a fundamental question: Can image generation models directly leverage images as contextual input, similarly to how large language models use text as context? To address this, we present IP-Prompter, a novel training-free TSI generation method. |
Yuxin Zhang; Minyan Luo; Weiming Dong; Xiao Yang; Haibin Huang; Chongyang Ma; Oliver Deussen; Tong-Yee Lee; Changsheng Xu; |
| 255 | DreamMask: Boosting Open-vocabulary Panoptic Segmentation with Synthetic Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Open-vocabulary panoptic segmentation has received significant attention due to its applicability in the real world.Despite claims of robust generalization, we find that the advancements of previous works are attributed mainly to trained categories, exposing a lack of generalization to novel classes.In this paper, we explore boosting existing models from a data-centric perspective.We propose DreamMask, which systematically explores how to generate training data in the open-vocabulary setting, and how to train the model with both real and synthetic data.For the first part, we propose an automatic data generation pipeline with off-the-shelf models. |
Yuanpeng Tu; Xi Chen; Ser-Nam Lim; Hengshuang Zhao; |
| 256 | IP-Composer: Semantic Composition of Visual Concepts Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present IP-Composer, a novel training-free approach for compositional image generation that leverages multiple image references simultaneously, while using natural language to describe the concept to be extracted from each image. |
Sara Dorfman; Dana Cohen-Bar; Rinon Gal; Daniel Cohen-Or; |
| 257 | MIND: Microstructure INverse Design with Generative Hybrid Neural Representation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing approaches, which typically rely on voxel or parametric representations, often limit design flexibility and structural diversity.In this work, we present a novel generative model that integrates latent diffusion with Holoplane, an advanced hybrid neural representation that simultaneously encodes both geometric and physical properties. |
Tianyang Xue; Longdu Liu; Lin Lu; Paul Henderson; Pengbin Tang; Haochen Li; Jikai Liu; Haisen Zhao; Hao Peng; Bernd Bickel; |
| 258 | Data-Efficient Discovery of Hyperelastic TPMS Metamaterials with Extreme Energy Dissipation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a new method for discovering novel microscale TPMS structures with exceptional energy-dissipation capabilities, achieving double the energy absorption of the best existing TPMS primitive structure. |
Maxine Perroni-Scharf; Zachary Ferguson; Thomas Butruille; Carlos Portela; Mina Konakovi\'{c} Lukovi\'{c}; |
| 259 | Inverse Design of Discrete Interlocking Materials with Desired Mechanical Behavior Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a computational approach for designing Discrete Interlocking Materials (DIMs) with desired mechanical properties. |
Pengbin Tang; Bernhard Thomaszewski; Stelian Coros; Bernd Bickel; |
| 260 | Computational Modeling of Gothic Microarchitecture Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a framework of simple yet expressive geometric principles to model Gothic microarchitecture as 3D curve networks, using limited input such as historical 2D drawings. |
Aviv Segall; Jing Ren; Martin Schwarz; Olga Sorkine-Hornung; |
| 261 | Color Matching and Biomimicry for Multi-Material Dental 3D Printing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The slab design enables reasonable color predictions on layered tooth shapes. Based on the forward model, we propose a backward model to compute per-layer material ratios for given layer-translucencies to achieve color matches at multiple points on the tooth surface.The method’s effectiveness is demonstrated by fabricating various dentures with custom layers that accurately replicate VITA classical shades, showcasing its practical and versatile application in denture manufacturing. |
Andr\'{a}s Simon; Danwu Chen; Philipp Urban; Vincent Duveiller; Henning L\{u}bbe; |
| 262 | MAGNET: Muscle Activation Generation Networks for Diverse Human Movement Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce MAGNET (Muscle Activation Generation Networks), a scalable framework for reconstructing full-body muscle activations across diverse human movements. |
Jungnam Park; Euikyun Jung; Jehee Lee; Jungdam Won; |
| 263 | PARC: Physics-based Augmentation with Reinforcement Learning for Character Controllers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce PARC (Physics-based Augmentation with Reinforcement Learning for Character Controllers), a framework that leverages machine learning and physics-based simulation to iteratively augment motion datasets and expand the capabilities of terrain traversal controllers. |
Michael Xu; Yi Shi; KangKang Yin; Xue Bin Peng; |
| 264 | PLT: Part-Wise Latent Tokens As Adaptable Motion Priors for Physically Simulated Characters Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel policy architecture that learns part-wise motion skills, where individual parts can be separately extended and combined for unobserved settings. |
Jinseok Bae; Younghwan Lee; Donggeun Lim; Young Min Kim; |
| 265 | MatCLIP: Light- and Shape-Insensitive Assignment of PBR Material Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose MatCLIP, a novel method that extracts shape- and lighting-insensitive descriptors of Physically Based Rendering (PBR) materials to assign plausible textures to 3D objects based on images, such as the output of Latent Diffusion Models (LDMs) or photographs. |
Michael Birsak; John Femiani; Biao Zhang; Peter Wonka; |
| 266 | Position-Normal Manifold for Efficient Glint Rendering on High-Resolution Normal Maps Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a manifold-based formulation of the glint normal distribution functions (NDF) that precisely captures the surface normal distributions over queried footprints. |
Liwen Wu; Fujun Luan; Milo\v{s} Ha\v{s}an; Ravi Ramamoorthi; |
| 267 | A Fluorescent Material Model for Non-Spectral Editing \& Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: But the approach has limited expressivity, as it requires the storage of one reduced matrix per fluorescent material, and only works with measured fluorescent assets.In this work, we introduce an analytical approach to the editing and rendering of fluorescence in a non-spectral engine. |
Laurent Belcour; Alban Fichet; Pascal Barla; |
| 268 | A Fast Parallel Median Filtering Algorithm Using Hierarchical Tiling Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Sorting-based algorithms excel with small kernels but scale poorly with increasing kernel diameter, in contrast to constant-time methods characterized by higher constant factors but better scalability, such as histogram-based approaches or the 2D wavelet matrix.This paper introduces a novel algorithm, leveraging the separability of the sorting problem through hierarchical tiling to minimize redundant computations. |
Louis Sugy; |
| 269 | Fast Isotropic Median Filtering Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Square-kernel implementations tend to produce streaky cross-hatching artifacts, and nearly all known efficient algorithms are in practice limited to square kernels. We present for the first time a method that overcomes all of these limitations. |
Ben Weiss; |
| 270 | High-Fidelity Novel View Synthesis Via Splatting-Guided Diffusion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce SplatDiff, a pixel-splatting-guided video diffusion model designed to synthesize high-fidelity novel views from a single image. |
Xiang Zhang; Yang Zhang; Lukas Mehl; Markus Gross; Christopher Schroers; |
| 271 | Compensating Spatiotemporally Inconsistent Observations for Online Dynamic 3D Gaussian Splatting Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a method that enhances temporal consistency in online reconstruction from observations with temporal inconsistency which is inevitable in cameras. |
Youngsik Yun; Jeongmin Bae; Hyunseung Son; Seoha Kim; Hahyun Lee; Gun Bang; Youngjung Uh; |
| 272 | DAM-VSR: Disentanglement of Appearance and Motion for Video Super-Resolution Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, due to the intrinsic image-animation characteristics of SVD, it is challenging to generate fine details using only low-quality videos. To tackle this problem, we propose DAM-VSR, an appearance and motion disentanglement framework for VSR. |
Zhe Kong; Le Li; Yong Zhang; Feng Gao; Shaoshu Yang; Tao Wang; Kaihao Zhang; Zhuoliang Kang; Xiaoming Wei; Guanying Chen; Wenhan Luo; |
| 273 | DC-VSR: Spatially and Temporally Consistent Video Super-Resolution with Video Diffusion Prior Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose DC-VSR, a novel VSR approach to produce spatially and temporally consistent VSR results with realistic textures. |
Janghyeok Han; Gyujin Sim; Geonung Kim; Hyun-Seung Lee; Kyuha Choi; Youngseok Han; Sunghyun Cho; |
| 274 | Stochastic Barnes-Hut Approximation for Fast Summation on The GPU Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel stochastic version of the Barnes-Hut approximation. |
Abhishek Madan; Nicholas Sharp; Francis Williams; Ken Museth; David I.W. Levin; |
| 275 | GAIA: Generative Animatable Interactive Avatars with Expression-conditioned Gaussians Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present GAIA: Generative Animatable Interactive Avatars, which is able to generate high-fidelity 3D head avatars for both realistic animation and rendering. |
Zhengming Yu; Tianye Li; Jingxiang Sun; Omer Shapira; Seonwook Park; Michael Stengel; Matthew Chan; Xin Li; Wenping Wang; Koki Nagano; Shalini De Mello; |
| 276 | TeGA: Texture Space Gaussian Avatars for High-Resolution Dynamic Head Modeling Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Also, recent state-of-the-art models are often affected by memory limitations that reduce the number of 3D Gaussians used for modeling, leading to lower detail and quality. To address these problems, we present a new high-detail 3D head avatar model that improves upon the state of the art, largely increasing the number of 3D Gaussians and modeling quality for rendering at 4K resolution. |
Gengyan Li; Paulo Gotardo; Timo Bolkart; Stephan Garbin; Kripasindhu Sarkar; Abhimitra Meka; Alexandros Lattas; Thabo Beeler; |
| 277 | InstantRestore: Single-Step Personalized Face Restoration with Shared-Image Attention Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing methods often struggle with slow processing times and suboptimal restoration, especially under severe degradation, failing to accurately reconstruct finer-level identity details. To address these issues, we introduce InstantRestore, a novel framework that leverages a single-step image diffusion model and an attention-sharing mechanism for fast and personalized face restoration. |
Howard Zhang; Yuval Alaluf; Sizhuo Ma; Achuta Kadambi; Jian Wang; Kfir Aberman; |
| 278 | Relightable Full-Body Gaussian Codec Avatars Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose Relightable Full-Body Gaussian Codec Avatars, a new approach for modeling relightable full-body avatars with fine-grained details including face and hands. |
Shaofei Wang; Tomas Simon; Igor Santesteban; Timur Bagautdinov; Junxuan Li; Vasu Agrawal; Fabian Prada; Shoou-I Yu; Pace Nalbone; Matt Gramlich; Roman Lubachersky; Chenglei Wu; Javier Romero; Jason Saragih; Michael Zollhoefer; Andreas Geiger; Siyu Tang; Shunsuke Saito; |
| 279 | EVA: Expressive Virtual Avatars from Multi-view Videos Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce Expressive Virtual Avatars (EVA), an actor-specific, fully controllable, and expressive human avatar framework that achieves high-fidelity, lifelike renderings in real time while enabling independent control of facial expressions, body movements, and hand gestures. |
Hendrik Junkawitsch; Guoxing Sun; Heming Zhu; Christian Theobalt; Marc Habermann; |
| 280 | Elastic Locomotion with Mixed Second-order Differentiation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a framework of elastic locomotion, which allows users to enliven an elastic body to produce interesting locomotion by prescribing its high-level kinematics. |
Siyuan Shen; Tianjia Shao; Kun Zhou; Chenfanfu Jiang; Sheldon Andrews; Victor Zordan; Yin Yang; |
| 281 | HumanRAM: Feed-forward Human Reconstruction and Animation Model Using Transformers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, existing methods typically rely on sophisticated dense-view capture and/or time-consuming per-subject optimization procedures. To address these limitations, we propose HumanRAM, a novel feed-forward approach for generalizable human reconstruction and animation from monocular or sparse human images. |
Zhiyuan Yu; Zhe Li; Hujun Bao; Can Yang; Xiaowei Zhou; |
| 282 | Feature-Preserving Mesh Repair Via Restricted Power Diagram Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a unified framework for repairing diverse mesh imperfections by leveraging a manifold wrap surface as a mediating agent. |
Huibiao Wen; Guilong He; Rui Xu; Shuangmin Chen; Shiqing Xin; Zhenyu Shu; Taku Komura; Jieqing Feng; Wenping Wang; Changhe Tu; |
| 283 | VideoAnydoor: High-fidelity Video Object Insertion with Precise Motion Control Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose VideoAnydoor, a zero-shot video object insertion framework with high-fidelity detail preservation and precise motion control. |
Yuanpeng Tu; Hao Luo; Xi Chen; Sihui Ji; Xiang Bai; Hengshuang Zhao; |
| 284 | Sketch3DVE: Sketch-based 3D-Aware Scene Video Editing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Key challenges include generating novel view content that remains consistent with the original video, preserving unedited regions, and translating sparse 2D inputs into realistic 3D video outputs. To address these issues, we propose Sketch3DVE, a sketch-based 3D-aware video editing method to enable detailed local manipulation of videos with significant viewpoint changes. |
Feng-Lin Liu; Shi-Yang Li; Yan-Pei Cao; Hongbo Fu; Lin Gao; |
| 285 | VideoPainter: Any-length Video Inpainting and Editing with Plug-and-Play Context Control Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, current methods relying on limited pixel propagation or single-branch image inpainting architectures face challenges with generating fully masked objects, balancing background preservation with foreground generation, and maintaining ID consistency over long video. To address these issues, we propose VideoPainter, an efficient dual-branch framework featuring a lightweight context encoder. |
Yuxuan Bian; Zhaoyang Zhang; Xuan Ju; Mingdeng Cao; Liangbin Xie; Ying Shan; Qiang Xu; |
| 286 | ColorSurge: Bringing Vibrancy and Efficiency to Automatic Video Colorization Via Dual-Branch Fusion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While diffusion-based video-to-video approaches can produce customized colorization models through fine-tuning, their high inference costs limit their suitability for real-time scenarios. To address these challenges, we propose ColorSurge, a lightweight network for efficient end-to-end video colorization. |
Hongbo Zhao; Jiaxing Li; Peiyi Zhang; Peng Xiao; Jianxin Lin; Yijun Wang; |
| 287 | Controllable Tracking-Based Video Frame Interpolation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we address the less explored problem of user-assisted frame interpolation to improve quality and enable control over the appearance and motion of interpolated frames. |
Karlis Martins Briedis; Abdelaziz Djelouah; Rapha\{e}l Ortiz; Markus Gross; Christopher Schroers; |
| 288 | Reenact Anything: Semantic Video Motion Transfer Using Motion-Textual Inversion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We thus represent motion using text/image embedding tokens. |
Manuel Kansy; Jacek Naruniec; Christopher Schroers; Markus Gross; Romann M. Weber; |
| 289 | Stressful Tree Modeling: Breaking Branches with Strands Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel approach for the computational modeling of lignified tissues, such as those found in tree branches and timber. |
Bosheng Li; Nikolas Schwarz; Wojtek Palubicki; S\{o}ren Pirk; Dominik L. Michels; Bedrich Benes; |
| 290 | Curl Quantization for Automatic Placement of Knit Singularities Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We develop a method for automatic placement of knit singularities based on curl quantization, extending the knit-planning frameworks of Mitra et al. [2024; 2023]. |
Rahul Mitra; Matt\'{e}o Couplet; Tongtong Wang; Megan Hoffman; Kui Wu; Edward Chien; |
| 291 | DeepMill: Neural Accessibility Learning for Subtractive Manufacturing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce DeepMill, the first neural framework designed to accurately and efficiently predict inaccessible and occlusion regions under varying machining tool parameters, applicable to both CAD and freeform models. |
Fanchao Zhong; Yang Wang; Peng-Shuai Wang; Lin Lu; Haisen Zhao; |
| 292 | DualMS: Implicit Dual-Channel Minimal Surface Optimization for Heat Exchanger Design Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents DualMS, a novel computational framework for optimizing dual-channel minimal surfaces specifically for heat exchanger designs in freeform shapes. |
Weizheng Zhang; Hao Pan; Lin Lu; Xiaowei Duan; Xin Yan; Ruonan Wang; Qiang Du; |
| 293 | Towards Comprehensive Neural Materials: Dynamic Structure-Preserving Synthesis with Accurate Silhouette at Instant Inference Speed Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we challenge the comprehensive neural material representation by thoroughly considering the essential aspects of the complete appearance. |
Zilin Xu; Xiang Chen; Chen Liu; Beibei Wang; Lu Wang; Zahra Montazeri; Ling-Qi Yan; |
| 294 | Generative Neural Materials Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, content creation in the neural material format is not straightforward. To address this limitation, we present the first image-conditioned diffusion model for neural materials, and show an extension to text conditioning. |
Nithin Raghavan; Krishna Mullia; Alexander Trevithick; Fujun Luan; Milo\v{s} Ha\v{s}an; Ravi Ramamoorthi; |
| 295 | Neural BRDF Importance Sampling By Reparameterization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a reparameterization-based formulation of neural BRDF importance sampling that seamlessly integrates into the standard rendering pipeline with precise generation of BRDF samples. |
Liwen Wu; Sai Bi; Zexiang Xu; Hao Tan; Kai Zhang; Fujun Luan; Haolin Lu; Ravi Ramamoorthi; |
| 296 | Generative Detail Enhancement for Physically Based Materials Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a tool for enhancing the detail of physically based materials using an off-the-shelf diffusion model and inverse rendering. |
Saeed Hadadan; Benedikt Bitterli; Tizian Zeltner; Jan Nov\'{a}k; Fabrice Rousselle; Jacob Munkberg; Jon Hasselgren; Bartlomiej Wronski; Matthias Zwicker; |
| 297 | Elevating 3D Models: High-Quality Texture and Geometry Refinement from A Low-Quality Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: High-quality 3D assets are essential for various applications in computer graphics and 3D vision but remain scarce due to significant acquisition costs. To address this shortage, we introduce Elevate3D, a novel framework that transforms readily accessible low-quality 3D assets into higher quality. |
Nuri Ryu; Jiyun Won; Jooeun Son; Minsu Gong; Joo-Haeng Lee; Sunghyun Cho; |
| 298 | Escher Tile Deformation Via Closed-Form Solution Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a real-time deformation method for Escher tiles—interlocking organic forms that seamlessly tessellate the plane following symmetry rules. |
Crane He Chen; Vladimir Kim; |
| 299 | PaRas: A Rasterizer for Large-Scale Parametric Surfaces Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce PaRas, a highly performant rasterizer for real-time rendering of large-scale parametric surfaces with high precision. |
Kechun Wang; Renjie Chen; |
| 300 | Appearance-aware Multi-view SVBRDF Reconstruction Via Deep Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To determine the best sampling set for each material while ensuring minimal capture costs, we introduce an appearance-aware adaptive sampling method in this paper. |
Pengfei Zhu; Jie Guo; Yifan Liu; Qi Sun; Yanxiang Wang; Keheng Xu; Ligang Liu; Yanwen Guo; |
| 301 | Uncertainty for SVBRDF Acquisition Using Frequency Analysis Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper aims to quantify uncertainty for SVBRDF acquisition in multi-view captures. |
Ruben Wiersma; Julien Philip; Milo\v{s} Ha\v{s}an; Krishna Mullia; Fujun Luan; Elmar Eisemann; Valentin Deschaintre; |
| 302 | Feeling Blue or Seeing Red? Investigating The Effect of Light Color, Shadow and Realism on The Perception of Emotion of Real and Virtual Humans Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we focus on studying the effect of light temperature, color, and shadow on the interpretation of emotions of realistic virtual humans, and compare to a human photo baseline. |
Rachel McDonnell; Bharat Vyas; Uros Sikimic; Pisut Wisessing; |
| 303 | PrimitiveAnything: Human-Crafted 3D Primitive Assembly Generation with Auto-Regressive Transformer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present PrimitiveAnything, a novel framework that reformulates shape primitive abstraction as a primitive assembly generation task. |
Jingwen Ye; Yuze He; Yanning Zhou; Yiqin Zhu; Kaiwen Xiao; Yong-Jin Liu; Wei Yang; Xiao Han; |
| 304 | Image-Space Collage and Packing with Differentiable Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a versatile image-space collage technique. |
Zhenyu Wang; Min Lu; |
| 305 | BuildingBlock: A Hybrid Approach for Structured Building Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Three-dimensional building generation is vital for applications in gaming, virtual reality, and digital twins, yet current methods face challenges in producing diverse, structured, and hierarchically coherent buildings. We propose BuildingBlock, a hybrid approach that integrates generative models, procedural content generation (PCG), and large language models (LLMs) to address these limitations. |
Junming Huang; Chi Wang; Letian Li; Changxin Huang; Qiang Dai; Weiwei Xu; |
| 306 | Interactive Optimization of Scaffolded Procedural Patterns Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose an interactive method for procedural parameter estimation based on the idea of scaffolded procedural patterns. |
Davide Sforza; Marzia Riso; Filippo Muzzini; Nicola Capodieci; Fabio Pellacini; |