Paper Digest: SIGGRAPH 2022 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. In 2022, it is to be held in Vancouver, Canada.
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 / summaries to quickly get the main idea of each paper.
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TABLE 1: Paper Digest: SIGGRAPH 2022 Highlights
Paper | Author(s) | |
---|---|---|
1 | Blending Camera and 77 GHz Radar Sensing for Equitable, Robust Plethysmography Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we show through light transport analysis that the camera modality is fundamentally biased against darker skin tones. |
Alexander Vilesov; Pradyumna Chari; Adnan Armouti; Anirudh Bindiganavale Harish; Kimaya Kulkarni; Ananya Deoghare; Laleh Jalilian; Achuta Kadambi; |
2 | Seeing Through Obstructions with Diffractive Cloaking Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this work, we propose a monocular single-shot imaging approach that optically cloaks obstructions by emulating a large array. |
Zheng Shi; Yuval Bahat; Seung-Hwan Baek; Qiang Fu; Hadi Amata; Xiao Li; Praneeth Chakravarthula; Wolfgang Heidrich; Felix Heide; |
3 | High Dynamic Range and Super-resolution from Raw Image Bursts Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: This paper introduces the first approach (to the best of our knowledge) to the reconstruction of highresolution, high-dynamic range color images from raw photographic bursts captured by a handheld camera with exposure bracketing. |
Bruno Lecouat; Thomas Eboli; Jean Ponce; Julien Mairal; |
4 | EMBER: Exact Mesh Booleans Via Efficient & Robust Local Arrangements Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present a novel method, EMBER, to compute Boolean operations on polygon meshes which is exact, reliable, and highly performant at the same time. |
Philip Trettner; Julius Nehring-Wirxel; Leif Kobbelt; |
5 | TopoCut: Fast and Robust Planar Cutting of Arbitrary Domains Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we introduce a new approach to planar cutting of 3D domains that substitutes topological inference for numerical ordering through a novel mesh data structure, and revert to exact numerical evaluations only in the few rare cases where it is strictly necessary. |
Xianzhong Fang; Mathieu Desbrun; Hujun Bao; Jin Huang; |
6 | Robust Computation of Implicit Surface Networks for Piecewise Linear Functions Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present a unified approach for computing both types of surface networks for piecewise linear functions defined on a tetrahedral grid. |
Xingyi Du; Qingnan Zhou; Nathan Carr; Tao Ju; |
7 | Approximate Convex Decomposition for 3D Meshes with Collision-aware Concavity and Tree Search Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: While prior works can capture the global structure of input shapes, they may fail to preserve fine-grained details (e.g., filling a toaster’s slots), which are critical for retaining the functionality of objects in interactive environments. In this paper, we propose a novel method that addresses the limitations of existing approaches from three perspectives: (a) We introduce a novel collision-aware concavity metric that examines the distance between a shape and its convex hull from both the boundary and the interior. |
Xinyue Wei; Minghua Liu; Zhan Ling; Hao Su; |
8 | Developability-driven Piecewise Approximations for Triangular Meshes Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We propose a novel method to compute a piecewise mesh with a few developable patches and a small approximation error for an input triangular mesh. |
Zheng-Yu Zhao; Qing Fang; Wenqing Ouyang; Zheng Zhang; Ligang Liu; Xiao-Ming Fu; |
9 | Unbiased Inverse Volume Rendering with Differential Trackers Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: Instead, we propose using a new sampling strategy: differential ratio tracking, which is unbiased, yields low-variance gradients, and runs in linear time. |
Merlin Nimier-David; Thomas Müller; Alexander Keller; Wenzel Jakob; |
10 | Procedural Texturing of Solid Wood with Knots Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present a procedural framework for modeling the annual ring pattern of solid wood with knots. |
Maria Larsson; Takashi Ijiri; Hironori Yoshida; Johannes A. J. Huber; Magnus Fredriksson; Olof Broman; Takeo Igarashi; |
11 | MatFormer: A Generative Model for Procedural Materials Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present MatFormer, a generative model that can produce a diverse set of high-quality procedural materials with complex spatial patterns and appearance. |
Paul Guerrero; Miloš Hašan; Kalyan Sunkavalli; Radomír Měch; Tamy Boubekeur; Niloy J. Mitra; |
12 | Practical Level-of-detail Aggregation of Fur Appearance Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we aim at reducing the number of fur fibers while preserving realistic fur appearance. |
Junqiu Zhu; Sizhe Zhao; Lu Wang; Yanning Xu; Ling-Qi Yan; |
13 | Unbiased and Consistent Rendering Using Biased Estimators Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We introduce a general framework for transforming biased estimators into unbiased and consistent estimators for the same quantity. |
Zackary Misso; Benedikt Bitterli; Iliyan Georgiev; Wojciech Jarosz; |
14 | A Fast Unsmoothed Aggregation Algebraic Multigrid Framework for The Large-scale Simulation of Incompressible Flow Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this contribution, we present an Unsmoothed Aggregation Algebraic MultiGrid (UAAMG) method with a multi-color Gauss-Seidel smoother, which consistently solves the variational viscosity equation in a few iterations for various material parameters. |
Han Shao; Libo Huang; Dominik L. Michels; |
15 | Loki: A Unified Multiphysics Simulation Framework for Production Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We introduce Loki, a new framework for robust simulation of fluid, rigid, and deformable objects with non-compromising fidelity on any single element, and capabilities for coupling and representation transitions across multiple elements. |
Steve Lesser; Alexey Stomakhin; Gilles Daviet; Joel Wretborn; John Edholm; Noh-Hoon Lee; Eston Schweickart; Xiao Zhai; Sean Flynn; Andrew Moffat; |
16 | Automatic Quantization for Physics-based Simulation Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we propose a novel framework to allow users to obtain a quantization scheme by simply specifying either an error bound or a memory compression rate. |
Jiafeng Liu; Haoyang Shi; Siyuan Zhang; Yin Yang; Chongyang Ma; Weiwei Xu; |
17 | Energetically Consistent Inelasticity for Optimization Time Integration Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we propose Energetically Consistent Inelasticity (ECI), a new formulation for modeling and discretizing finite strain elastoplasticity/viscoelasticity in a way that is compatible with optimization-based time integrators. |
Xuan Li; Minchen Li; Chenfanfu Jiang; |
18 | Grid-free Monte Carlo for PDEs with Spatially Varying Coefficients Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: Our main contribution is to extend the walk on spheres (WoS) algorithm from constant- to variable-coefficient problems, by drawing on techniques from volumetric rendering. |
Rohan Sawhney; Dario Seyb; Wojciech Jarosz; Keenan Crane; |
19 | Variational Quadratic Shape Functions for Polygons and Polyhedra Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: Our work proposes variationally optimized piecewise quadratic shape functions for polygons and polyhedra, which generalize quadratic P2 elements, exactly reproduce them on simplices, and inherit their beneficial numerical properties. |
Astrid Bunge; Philipp Herholz; Olga Sorkine-Hornung; Mario Botsch; Michael Kazhdan; |
20 | NeAT: Neural Adaptive Tomography Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we present Neural Adaptive Tomography (NeAT), the first adaptive, hierarchical neural rendering pipeline for tomography. |
Darius Rückert; Yuanhao Wang; Rui Li; Ramzi Idoughi; Wolfgang Heidrich; |
21 | NeROIC: Neural Rendering of Objects from Online Image Collections Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: We present a novel method to acquire object representations from online image collections, capturing high-quality geometry and material properties of arbitrary objects from photographs with varying cameras, illumination, and backgrounds. |
Zhengfei Kuang; Kyle Olszewski; Menglei Chai; Zeng Huang; Panos Achlioptas; Sergey Tulyakov; |
22 | Compatible Intrinsic Triangulations Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We propose a simple method utilizing intrinsic triangulations, operating directly on the original surfaces without going through any intermediate domains such as a plane or a sphere. |
Kenshi Takayama; |
23 | Computing Sparse Integer-constrained Cones for Conformal Parameterizations Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We propose a novel method to generate sparse integer-constrained cone singularities with low distortion constraints for conformal parameterizations. |
Mo Li; Qing Fang; Wenqing Ouyang; Ligang Liu; Xiao-Ming Fu; |
24 | Which Cross Fields Can Be Quadrangulated?: Global Parameterization from Prescribed Holonomy Signatures Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We describe a method for the generation of seamless surface parametrizations with guaranteed local injectivity and full control over holonomy. |
Hanxiao Shen; Leyi Zhu; Ryan Capouellez; Daniele Panozzo; Marcel Campen; Denis Zorin; |
25 | Volume Parametrization Quantization for Hexahedral Meshing Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present a method to robustly quantize volume parametrizations, i.e., to determine guaranteed valid choices of integers for 3D integer-grid maps. |
Hendrik Brückler; David Bommes; Marcel Campen; |
26 | Simulation and Optimization of Magnetoelastic Thin Shells Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we propose a novel computational method for forward simulation and inverse design of magnetoelastic thin shells. |
Xuwen Chen; Xingyu Ni; Bo Zhu; Bin Wang; Baoquan Chen; |
27 | True Seams: Modeling Seams in Digital Garments Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we present a method that models seams following their true, real-life construction. |
Alejandro Rodríguez; Gabriel Cirio; |
28 | A GPU-based Multilevel Additive Schwarz Preconditioner for Cloth and Deformable Body Simulation Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we wish to push the limit of real-time cloth and deformable body simulation to a higher level with 50K to 500K vertices, based on the development of a novel GPU-based multilevel additive Schwarz (MAS) pre-conditioner. |
Botao Wu; Zhendong Wang; Huamin Wang; |
29 | A General Two-stage Initialization for Sag-free Deformable Simulations Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We introduce a novel solution to the sagging problem that can be applied to a variety of simulation systems and materials. |
Jerry Hsu; Nghia Truong; Cem Yuksel; Kui Wu; |
30 | Estimation of Yarn-level Simulation Models for Production Fabrics Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: This paper introduces a methodology for inverse-modeling of yarn-level mechanics of cloth, based on the mechanical response of fabrics in the real world. |
Georg Sperl; Rosa M. Sánchez-Banderas; Manwen Li; Chris Wojtan; Miguel A. Otaduy; |
31 | A Unified Newton Barrier Method for Multibody Dynamics Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present a simulation framework for multibody dynamics via a universal variational integration. |
Yunuo Chen; Minchen Li; Lei Lan; Hao Su; Yin Yang; Chenfanfu Jiang; |
32 | Affine Body Dynamics: Fast, Stable and Intersection-free Simulation of Stiff Materials Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper we revisit the stiff body problem and present ABD, a simple and highly effective affine body dynamics framework, which significantly improves state-of-the-art for simulating stiff-body dynamics. |
Lei Lan; Danny M. Kaufman; Minchen Li; Chenfanfu Jiang; Yin Yang; |
33 | Fast Evaluation of Smooth Distance Constraints on Co-dimensional Geometry Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present a new method for computing a smooth minimum distance function based on the LogSumExp function for point clouds, edge meshes, triangle meshes, and combinations of all three. |
Abhishek Madan; David I. W. Levin; |
34 | Penetration-free Projective Dynamics on The GPU Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present a GPU algorithm for deformable simulation. |
Lei Lan; Guanqun Ma; Yin Yang; Changxi Zheng; Minchen Li; Chenfanfu Jiang; |
35 | Contact-centric Deformation Learning Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We propose a novel method to machine-learn highly detailed, nonlinear contact deformations for real-time dynamic simulation. |
Cristian Romero; Dan Casas; Maurizio M. Chiaramonte; Miguel A. Otaduy; |
36 | Adaptive Rigidification of Elastic Solids Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present a method for reducing the computational cost of elastic solid simulation by treating connected sets of non-deforming elements as rigid bodies. |
Alexandre Mercier-Aubin; Paul G. Kry; Alexandre Winter; David I. W. Levin; |
37 | Disentangling Random and Cyclic Effects in Time-lapse Sequences Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: However, playing a long time-lapse sequence back as a video often results in distracting flicker due to random effects, such as weather, as well as cyclic effects, such as the day-night cycle. We introduce the problem of disentangling time-lapse sequences in a way that allows separate, after-the-fact control of overall trends, cyclic effects, and random effects in the images, and describe a technique based on data-driven generative models that achieves this goal. |
Erik Härkönen; Miika Aittala; Tuomas Kynkäänniemi; Samuli Laine; Timo Aila; Jaakko Lehtinen; |
38 | Rewriting Geometric Rules of A GAN Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: However, the current machine learning approaches miss a key element of the creative process – the ability to synthesize things that go far beyond the data distribution and everyday experience. To begin to address this issue, we enable a user to warp a given model by editing just a handful of original model outputs with desired geometric changes. |
Sheng-Yu Wang; David Bau; Jun-Yan Zhu; |
39 | ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: We present ASSET, a neural architecture for automatically modifying an input high-resolution image according to a user’s edits on its semantic segmentation map. |
Difan Liu; Sandesh Shetty; Tobias Hinz; Matthew Fisher; Richard Zhang; Taesung Park; Evangelos Kalogerakis; |
40 | Generalized Resampled Importance Sampling: Foundations of ReSTIR Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We introduce generalized resampled importance sampling (GRIS) to extend the theory, allowing RIS on correlated samples, with unknown PDFs and taken from varied domains. |
Daqi Lin; Markus Kettunen; Benedikt Bitterli; Jacopo Pantaleoni; Cem Yuksel; Chris Wyman; |
41 | R2E2: Low-latency Path Tracing of Terabyte-scale Scenes Using Thousands of Cloud CPUs Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper we explore the viability of path tracing massive scenes using a "supercomputer" constructed on-the-fly from thousands of small, serverless cloud computing nodes. |
Sadjad Fouladi; Brennan Shacklett; Fait Poms; Arjun Arora; Alex Ozdemir; Deepti Raghavan; Pat Hanrahan; Kayvon Fatahalian; Keith Winstein; |
42 | SPCBPT: Subspace-based Probabilistic Connections for Bidirectional Path Tracing Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present a novel approach, SPCBPT, for probabilistic connections that constructs the light selection distribution in sub-path space. |
Fujia Su; Sheng Li; Guoping Wang; |
43 | Modeling and Rendering Non-euclidean Spaces Approximated with Concatenated Polytopes Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: This paper proposes to approximate a manifold with polytopes. |
Seung-Wook Kim; Jaehyung Doh; Junghyun Han; |
44 | Regression-based Monte Carlo Integration Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: Unlike prior work, our resulting estimator is provably better than or equal to the conventional Monte Carlo estimator. |
Corentin Salaün; Adrien Gruson; Binh-Son Hua; Toshiya Hachisuka; Gurprit Singh; |
45 | Efficiency-aware Multiple Importance Sampling for Bidirectional Rendering Algorithms Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We propose a general method to improve MIS efficiency: By cheaply estimating the efficiencies of various technique and sample-count combinations, we can pick the best one. |
Pascal Grittmann; Ömercan Yazici; Iliyan Georgiev; Philipp Slusallek; |
46 | EARS: Efficiency-aware Russian Roulette and Splitting Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We instead iteratively learn optimal Russian roulette and splitting factors during rendering, using a simple and lightweight data structure. |
Alexander Rath; Pascal Grittmann; Sebastian Herholz; Philippe Weier; Philipp Slusallek; |
47 | Shape Dithering for 3D Printing Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present an efficient, purely geometric, algorithmic, and parameter free approach to improve surface quality and accuracy in voxel-controlled 3D printing by counteracting quantization artifacts. |
Mostafa Morsy Abdelkader Morsy; Alan Brunton; Philipp Urban; |
48 | Semantically Supervised Appearance Decomposition for Virtual Staging from A Single Panorama Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: We describe a novel approach to decompose a single panorama of an empty indoor environment into four appearance components: specular, direct sunlight, diffuse and diffuse ambient without direct sunlight. |
Tiancheng Zhi; Bowei Chen; Ivaylo Boyadzhiev; Sing Bing Kang; Martial Hebert; Srinivasa G. Narasimhan; |
49 | MatBuilder: Mastering Sampling Uniformity Over Projections Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We propose a novel approach by showing that uniformity constraints can be expressed as an integer linear program that results in a sampler with the desired properties. |
Loïs Paulin; Nicolas Bonneel; David Coeurjolly; Jean-Claude Iehl; Alexander Keller; Victor Ostromoukhov; |
50 | Sketch2Pose: Estimating A 3D Character Pose from A Bitmap Sketch Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: Artists frequently capture character poses via raster sketches, then use these drawings as a reference while posing a 3D character in a specialized 3D software — a time-consuming process, requiring specialized 3D training and mental effort. We tackle this challenge by proposing the first system for automatically inferring a 3D character pose from a single bitmap sketch, producing poses consistent with viewer expectations. |
Kirill Brodt; Mikhail Bessmeltsev; |
51 | CLIPasso: Semantically-aware Object Sketching Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: We present CLIPasso, an object sketching method that can achieve different levels of abstraction, guided by geometric and semantic simplifications. |
Yael Vinker; Ehsan Pajouheshgar; Jessica Y. Bo; Roman Christian Bachmann; Amit Haim Bermano; Daniel Cohen-Or; Amir Zamir; Ariel Shamir; |
52 | Detecting Viewer-perceived Intended Vector Sketch Connectivity Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We propose a novel, robust algorithm that extracts viewer-perceived stroke connectivity from inexact free-form vector drawings by leveraging observations about local and global factors that impact human perception of inter-stroke connectivity. |
Jerry Yin; Chenxi Liu; Rebecca Lin; Nicholas Vining; Helge Rhodin; Alla Sheffer; |
53 | Piecewise-smooth Surface Fitting Onto Unstructured 3D Sketches Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We propose a method to transform unstructured 3D sketches into piecewise smooth surfaces that preserve sketched geometric features. |
Emilie Yu; Rahul Arora; J. Andreas Bærentzen; Karan Singh; Adrien Bousseau; |
54 | Rapid Design of Articulated Objects Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present a novel 3D sketching system for rapidly authoring concepts of articulated objects for the early stages of design, when designers make such decisions. |
Joon Hyub Lee; Hanbit Kim; Seok-Hyung Bae; |
55 | Dynamic Optimal Space Partitioning for Redirected Walking in Multi-user Environment Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: While this approach has the advantage of precluding any collisions between users, the conventional space subdivision method suffers from frequent boundary resets due to the reduction of available space per user. To address this challenge, in this study, we propose a space subdivision method called Optimal Space Partitioning (OSP) that dynamically divides the shared physical space in real-time. |
Sang-Bin Jeon; Soon-Uk Kwon; June-Young Hwang; Yong-Hun Cho; Hayeon Kim; Jinhyung Park; In-Kwon Lee; |
56 | Interactive Augmented Reality Storytelling Guided By Scene Semantics Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present a novel interactive augmented reality (AR) storytelling approach guided by indoor scene semantics. |
Changyang Li; Wanwan Li; Haikun Huang; Lap-Fai Yu; |
57 | WallPlan: Synthesizing Floorplans By Learning to Generate Wall Graphs Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we propose a novel wall-oriented method, called WallPlan, for automatically and efficiently generating plausible floorplans from various design constraints. |
Jiahui Sun; Wenming Wu; Ligang Liu; Wenjie Min; Gaofeng Zhang; Liping Zheng; |
58 | Free2CAD: Parsing Freehand Drawings Into CAD Commands Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: First, the user must be able to mentally parse a final shape into a valid sequence of supported CAD commands; and second, the user must be sufficiently conversant with CAD software packages to be able to execute the corresponding CAD commands. As a step towards addressing both these challenges, we present Free2CAD wherein the user can simply sketch the final shape and our system parses the input strokes into a sequence of commands expressed in a simplified CAD language. |
Changjian Li; Hao Pan; Adrien Bousseau; Niloy J. Mitra; |
59 | ASE: Large-scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this work, we present a large-scale data-driven framework for learning versatile and reusable skill embeddings for physically simulated characters. |
Xue Bin Peng; Yunrong Guo; Lina Halper; Sergey Levine; Sanja Fidler; |
60 | Learning to Use Chopsticks in Diverse Gripping Styles Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: In this paper, we focus on chopsticks-based object relocation tasks, which are common yet demanding. |
Zeshi Yang; Kangkang Yin; Libin Liu; |
61 | Physics-based Character Controllers Using Conditional VAEs Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: High-quality motion capture datasets are now publicly available, and researchers have used them to create kinematics-based controllers that can generate plausible and diverse human motions without conditioning on specific goals (i.e., a task-agnostic generative model). In this paper, we present an algorithm to build such controllers for physically simulated characters having many degrees of freedom. |
Jungdam Won; Deepak Gopinath; Jessica Hodgins; |
62 | Learning High-DOF Reaching-and-grasping Via Dynamic Representation of Gripper-object Interaction Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: To resolve the sample efficiency issue in learning the high-dimensional and complex control of dexterous grasping, we propose an effective representation of grasping state characterizing the spatial interaction between the gripper and the target object. |
Qijin She; Ruizhen Hu; Juzhan Xu; Min Liu; Kai Xu; Hui Huang; |
63 | Scalable Neural Indoor Scene Rendering Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We propose a scalable neural scene reconstruction and rendering method to support distributed training and interactive rendering of large indoor scenes. |
Xiuchao Wu; Jiamin Xu; Zihan Zhu; Hujun Bao; Qixing Huang; James Tompkin; Weiwei Xu; |
64 | ADOP: Approximate Differentiable One-pixel Point Rendering Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: In this paper we present ADOP, a novel point-based, differentiable neural rendering pipeline. |
Darius Rückert; Linus Franke; Marc Stamminger; |
65 | Egocentric Scene Reconstruction from An Omnidirectional Video Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this work, we propose an egocentric 3D reconstruction method that can acquire scene geometry with high accuracy from a short egocentric omnidirectional video. |
Hyeonjoong Jang; Andréas Meuleman; Dahyun Kang; Donggun Kim; Christian Richardt; Min H. Kim; |
66 | Neural Rendering in A Room: Amodal 3D Understanding and Free-viewpoint Rendering for The Closed Scene Composed of Pre-captured Objects Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We, as human beings, can understand and picture a familiar scene from arbitrary viewpoints given a single image, whereas this is still a grand challenge for computers. We hereby present a novel solution to mimic such human perception capability based on a new paradigm of amodal 3D scene understanding with neural rendering for a closed scene. |
Bangbang Yang; Yinda Zhang; Yijin Li; Zhaopeng Cui; Sean Fanello; Hujun Bao; Guofeng Zhang; |
67 | Instant Neural Graphics Primitives with A Multiresolution Hash Encoding Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: Neural graphics primitives, parameterized by fully connected neural networks, can be costly to train and evaluate. We reduce this cost with a versatile new input encoding that permits the use of a smaller network without sacrificing quality, thus significantly reducing the number of floating point and memory access operations: a small neural network is augmented by a multiresolution hash table of trainable feature vectors whose values are optimized through stochastic gradient descent. |
Thomas Müller; Alex Evans; Christoph Schied; Alexander Keller; |
68 | Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: We present an adaptive deep representation of volumetric fields of 3D shapes and an efficient approach to learn this deep representation for high-quality 3D shape reconstruction and auto-encoding. |
Peng-Shuai Wang; Yang Liu; Xin Tong; |
69 | Neural Dual Contouring Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: We introduce neural dual contouring (NDC), a new data-driven approach to mesh reconstruction based on dual contouring (DC). |
Zhiqin Chen; Andrea Tagliasacchi; Thomas Funkhouser; Hao Zhang; |
70 | DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: In this paper, we aim to construct anisotropic convolution layers that work directly on the surface derived from a point cloud. |
Ruben Wiersma; Ahmad Nasikun; Elmar Eisemann; Klaus Hildebrandt; |
71 | SPAGHETTI: Editing Implicit Shapes Through Part Aware Generation Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: We introduce a method for Editing Implicit Shapes Through Part Aware GeneraTion, permuted in short as SPAGHETTI. |
Amir Hertz; Or Perel; Raja Giryes; Olga Sorkine-Hornung; Daniel Cohen-Or; |
72 | Spelunking The Deep: Guaranteed Queries on General Neural Implicit Surfaces Via Range Analysis Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: Instead, this work presents a new approach to perform queries directly on general neural implicit functions for a wide range of existing architectures. |
Nicholas Sharp; Alec Jacobson; |
73 | DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: We propose Deep Estimators of Features (DEFs), a learning-based framework for predicting sharp geometric features in sampled 3D shapes. |
Albert Matveev; Ruslan Rakhimov; Alexey Artemov; Gleb Bobrovskikh; Vage Egiazarian; Emil Bogomolov; Daniele Panozzo; Denis Zorin; Evgeny Burnaev; |
74 | Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: This paper introduces a framework designed to accurately predict piecewise linear mappings of arbitrary meshes via a neural network, enabling training and evaluating over heterogeneous collections of meshes that do not share a triangulation, as well as producing highly detail-preserving maps whose accuracy exceeds current state of the art. |
Noam Aigerman; Kunal Gupta; Vladimir G. Kim; Siddhartha Chaudhuri; Jun Saito; Thibault Groueix; |
75 | Joint Neural Phase Retrieval and Compression for Energy- and Computation-efficient Holography on The Edge Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this work, by distributing the computation and optimizing the transmission, we propose the first framework that jointly generates and compresses high-quality phase-only holograms. |
Yujie Wang; Praneeth Chakravarthula; Qi Sun; Baoquan Chen; |
76 | Accommodative Holography: Improving Accommodation Response for Perceptually Realistic Holographic Displays Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: However, these holograms show a high energy concentration in a limited angular spectrum, whereas the holograms with uniformly distributed angular spectrum suffer from a severe speckle noise in the reconstructed images. In this study, we claim that these two physical phenomena attributed to the existing CGHs significantly limit the support of accommodation cues, which is known as one of the biggest advantages of holographic displays. |
Dongyeon Kim; Seung-Woo Nam; Byounghyo Lee; Jong-Mo Seo; Byoungho Lee; |
77 | Closed-loop Control of Direct Ink Writing Via Reinforcement Learning Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: In this work, we demonstrate the feasibility of learning a closed-loop control policy for additive manufacturing using reinforcement learning. |
Michal Piovarči; Michael Foshey; Jie Xu; Timmothy Erps; Vahid Babaei; Piotr Didyk; Szymon Rusinkiewicz; Wojciech Matusik; Bernd Bickel; |
78 | Covector Fluids Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We propose a new velocity-based fluid solver derived from a reformulated Euler equation using covectors. |
Mohammad Sina Nabizadeh; Stephanie Wang; Ravi Ramamoorthi; Albert Chern; |
79 | Efficient Kinetic Simulation of Two-phase Flows Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: Recently, kinetic-based methods have achieved success in simulating large density ratios and high Reynolds numbers efficiently; but their memory overhead, limited stability, and numerically-intensive treatment of coupling with immersed solids remain enduring obstacles to their adoption in movie productions. In this paper, we propose a new kinetic solver to couple the incompressible Navier-Stokes equations with a conservative phase-field equation which remedies these major practical hurdles. |
Wei Li; Yihui Ma; Xiaopei Liu; Mathieu Desbrun; |
80 | VEMPIC: Particle-in-polyhedron Fluid Simulation for Intricate Solid Boundaries Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present a novel cut-cell fluid simulation framework that exactly represents boundary geometry during the simulation. |
Michael Tao; Christopher Batty; Mirela Ben-Chen; Eugene Fiume; David I. W. Levin; |
81 | A Clebsch Method for Free-surface Vortical Flow Simulation Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We propose a novel Clebsch method to simulate the free-surface vortical flow. |
Shiying Xiong; Zhecheng Wang; Mengdi Wang; Bo Zhu; |
82 | Guided Bubbles and Wet Foam for Realistic Whitewater Simulation Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present a method for enhancing fluid simulations with realistic bubble and foam detail. |
Joel Wretborn; Sean Flynn; Alexey Stomakhin; |
83 | The Power Particle-in-cell Method Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: This paper introduces a new weighting scheme for particle-grid transfers that generates hybrid Lagrangian/Eulerian fluid simulations with uniform particle distributions and precise volume control. |
Ziyin Qu; Minchen Li; Fernando De Goes; Chenfanfu Jiang; |
84 | Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present the first method to reconstruct dynamic fluid phenomena by leveraging the governing physics (ie, Navier -Stokes equations) in an end-to-end optimization from a mere set of sparse video frames without taking lighting conditions, geometry information, or boundary conditions as input. |
Mengyu Chu; Lingjie Liu; Quan Zheng; Erik Franz; Hans-Peter Seidel; Christian Theobalt; Rhaleb Zayer; |
85 | NIMBLE: A Non-rigid Hand Model with Bones and Muscles Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we present NIMBLE, a novel parametric hand model that includes the missing key components, bringing 3D hand model to a new level of realism. |
Yuwei Li; Longwen Zhang; Zesong Qiu; Yingwenqi Jiang; Nianyi Li; Yuexin Ma; Yuyao Zhang; Lan Xu; Jingyi Yu; |
86 | NeuralSound: Learning-based Modal Sound Synthesis with Acoustic Transfer Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present a novel learning-based modal sound synthesis approach that includes a mixed vibration solver for modal analysis and a radiation network for acoustic transfer. |
Xutong Jin; Sheng Li; Guoping Wang; Dinesh Manocha; |
87 | Implicit Neural Representation for Physics-driven Actuated Soft Bodies Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: Our key contribution is a general and implicit formulation to control active soft bodies by defining a function that enables a continuous mapping from a spatial point in the material space to the actuation value. |
Lingchen Yang; Byungsoo Kim; Gaspard Zoss; Baran Gözcü; Markus Gross; Barbara Solenthaler; |
88 | Efficient Estimation of Boundary Integrals for Path-space Differentiable Rendering Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we introduce a new technique to efficiently estimate boundary path integrals. |
Kai Yan; Christoph Lassner; Brian Budge; Zhao Dong; Shuang Zhao; |
89 | DR.JIT: A Just-in-time Compiler for Differentiable Rendering Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: DR.JIT is a new just-in-time compiler for physically based rendering and its derivative. |
Wenzel Jakob; Sébastien Speierer; Nicolas Roussel; Delio Vicini; |
90 | Differentiable Signed Distance Function Rendering Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this article, we show how to extend the commonly used sphere tracing algorithm so that it additionally outputs a reparameterization that provides the means to compute accurate shape parameter derivatives. |
Delio Vicini; Sébastien Speierer; Wenzel Jakob; |
91 | Adjoint Nonlinear Ray Tracing Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present a method for optimizing refractive index fields that both accounts for curved light paths and has a small, constant memory footprint. |
Arjun Teh; Matthew O’Toole; Ioannis Gkioulekas; |
92 | Alpha Wrapping with An Offset Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: Given an input 3D geometry such as a triangle soup or a point set, we address the problem of generating a watertight and orientable surface triangle mesh that strictly encloses the input. |
Cédric Portaneri; Mael Rouxel-Labbé; Michael Hemmer; David Cohen-Steiner; Pierre Alliez; |
93 | Iterative Poisson Surface Reconstruction (iPSR) for Unoriented Points Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: This paper intends to validate that an improved PSR, called iPSR, can completely eliminate the requirement of point normals and proceed in an iterative manner. |
Fei Hou; Chiyu Wang; Wencheng Wang; Hong Qin; Chen Qian; Ying He; |
94 | ComplexGen: CAD Reconstruction By B-rep Chain Complex Generation Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: We solve the complex generation problem in two steps. First, we propose a novel neural framework that consists of a sparse CNN encoder for input point cloud processing and a tri-path transformer decoder for generating geometric primitives and their mutual relationships with estimated probabilities. Second, given the probabilistic structure predicted by the neural network, we recover a definite B-Rep chain complex by solving a global optimization maximizing the likelihood under structural validness constraints and applying geometric refinements. |
Haoxiang Guo; Shilin Liu; Hao Pan; Yang Liu; Xin Tong; Baining Guo; |
95 | Moving Level-of-detail Surfaces Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present a simple, fast, and smooth scheme to approximate Algebraic Point Set Surfaces using non-compact kernels, which is particularly suited for filtering and reconstructing point sets presenting large missing parts. |
Corentin Mercier; Thibault Lescoat; Pierre Roussillon; Tamy Boubekeur; Jean-Marc Thiery; |
96 | Photo-to-shape Material Transfer for Diverse Structures Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: We introduce a method for assigning photorealistic relightable materials to 3D shapes in an automatic manner. |
Ruizhen Hu; Xiangyu Su; Xiangkai Chen; Oliver Van Kaick; Hui Huang; |
97 | Towards Practical Physical-optics Rendering Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: However, the recent works that have proposed PLT are too expensive to apply to real-world scenes with complex geometry and materials. To address this problem, we propose a novel framework for physical light transport based on several key ideas that actually makes PLT practical for complex scenes. |
Shlomi Steinberg; Pradeep Sen; Ling-Qi Yan; |
98 | Sparse Ellipsometry: Portable Acquisition of Polarimetric SVBRDF and Shape with Unstructured Flash Photography Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: We present sparse ellipsometry, a portable polarimetric acquisition method that captures both polarimetric SVBRDF and 3D shape simultaneously. |
Inseung Hwang; Daniel S. Jeon; Adolfo Muñoz; Diego Gutierrez; Xin Tong; Min H. Kim; |
99 | Position-free Multiple-bounce Computations for Smith Microfacet BSDFs Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: The original model ignores multiple bounces on the microgeometry, resulting in an energy loss, especially for rough materials. In this paper, we present a new method to compute the multiple bounces inside the microgeometry, eliminating this energy loss. |
Beibei Wang; Wenhua Jin; Jiahui Fan; Jian Yang; Nicolas Holzschuch; Ling-Qi Yan; |
100 | Aδ: Autodiff for Discontinuous Programs – Applied to Shaders Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: This paper describes a compiler-based approach to extend reverse mode AD so as to accept arbitrary programs involving discontinuities. |
Yuting Yang; Connelly Barnes; Andrew Adams; Adam Finkelstein; |
101 | DeepPhase: Periodic Autoencoders for Learning Motion Phase Manifolds Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this work, we propose a novel neural network architecture called the Periodic Autoencoder that can learn periodic features from large unstructured motion datasets in an unsupervised manner. |
Sebastian Starke; Ian Mason; Taku Komura; |
102 | Real-time Controllable Motion Transition for Characters Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: Its core challenge lies in the need to satisfy three critical conditions simultaneously: quality, controllability and speed, which renders any methods that need offline computation (or post-processing) or cannot incorporate (often unpredictable) user control undesirable. To this end, we propose a new real-time transition method to address the aforementioned challenges. |
Xiangjun Tang; He Wang; Bo Hu; Xu Gong; Ruifan Yi; Qilong Kou; Xiaogang Jin; |
103 | GANimator: Neural Motion Synthesis from A Single Sequence Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: We present GANimator, a generative model that learns to synthesize novel motions from a single, short motion sequence. |
Peizhuo Li; Kfir Aberman; Zihan Zhang; Rana Hanocka; Olga Sorkine-Hornung; |
104 | Character Articulation Through Profile Curves Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: This paper presents a new approach for character articulation that produces detail-preserving deformations fully controlled by 3D curves that profile the deforming surface. |
Fernando De Goes; William Sheffler; Kurt Fleischer; |
105 | DCT-net: Domain-calibrated Translation for Portrait Stylization Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: This paper introduces DCT-Net, a novel image translation architecture for few-shot portrait stylization. |
Yifang Men; Yuan Yao; Miaomiao Cui; Zhouhui Lian; Xuansong Xie; |
106 | StyleGAN-NADA: CLIP-guided Domain Adaptation of Image Generators Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: Leveraging the semantic power of large scale Contrastive-Language-Image-Pre-training (CLIP) models, we present a text-driven method that allows shifting a generative model to new domains, without having to collect even a single image. |
Rinon Gal; Or Patashnik; Haggai Maron; Amit H. Bermano; Gal Chechik; Daniel Cohen-Or; |
107 | SNeRF: Stylized Neural Implicit Representations for 3D Scenes Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: This paper presents a stylized novel view synthesis method. |
Thu Nguyen-Phuoc; Feng Liu; Lei Xiao; |
108 | Noise-based Enhancement for Foveated Rendering Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: Our main contribution is a perceptually-inspired technique for deriving the parameters of the noise required for the enhancement and its calibration. |
Taimoor Tariq; Cara Tursun; Piotr Didyk; |
109 | Image Features Influence Reaction Time: A Learned Probabilistic Perceptual Model for Saccade Latency Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: We aim to ask and answer an essential question "how quickly do we react after observing a displayed visual target?" |
Budmonde Duinkharjav; Praneeth Chakravarthula; Rachel Brown; Anjul Patney; Qi Sun; |
110 | StelaCSF: A Unified Model of Contrast Sensitivity As The Function of Spatio-temporal Frequency, Eccentricity, Luminance and Area Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we propose a unified CSF, stelaCSF, which accounts for all major dimensions of the stimulus: spatial and temporal frequency, eccentricity, luminance, and area. |
Rafał K. Mantiuk; Maliha Ashraf; Alexandre Chapiro; |
111 | Dark Stereo: Improving Depth Perception Under Low Luminance Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we propose a model of stereo constancy that predicts the precision of binocular depth cues for a given contrast and luminance. |
Krzysztof Wolski; Fangcheng Zhong; Karol Myszkowski; Rafał K. Mantiuk; |
112 | Perception of Letter Glyph Parameters for InfoTypography Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We provide an empirical characterization of seven typographical parameters of Latin fonts in terms of absolute perception and just noticeable differences (JNDs) to help visualization designers to choose typographic parameters for visualizations that contain text, as well as support typographers and type designers when selecting which levels of these parameters to implement to achieve differentiability between normal text, emphasized text and different headings. |
Johannes Lang; Miguel A. Nacenta; |
113 | Face Deblurring Using Dual Camera Fusion on Mobile Phones Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: To this end, we develop a novel face deblurring system based on the dual camera fusion technique for mobile phones. |
Wei-Sheng Lai; Yichang Shih; Lun-Cheng Chu; Xiaotong Wu; Sung-Fang Tsai; Michael Krainin; Deqing Sun; Chia-Kai Liang; |
114 | Computational Design of Passive Grippers Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: This work proposes a novel generative design tool for passive grippers—robot end effectors that have no additional actuation and instead leverage the existing degrees of freedom in a robotic arm to perform grasping tasks. |
Milin Kodnongbua; Ian Good; Yu Lou; Jeffrey Lipton; Adriana Schulz; |
115 | Computational Design of High-level Interlocking Puzzles Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we present a computational approach to design high-level interlocking puzzles. |
Rulin Chen; Ziqi Wang; Peng Song; Bernd Bickel; |
116 | Mixed Integer Neural Inverse Design Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: Here, we show that the piecewise linear property, very common in everyday neural networks, allows for an inverse design formulation based on mixed-integer linear programming. |
Navid Ansari; Hans-Peter Seidel; Vahid Babaei; |
117 | Umbrella Meshes: Elastic Mechanisms for Freeform Shape Deployment Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present a computational inverse design framework for a new class of volumetric deployable structures that have compact rest states and deploy into bending-active 3D target surfaces. |
Yingying Ren; Uday Kusupati; Julian Panetta; Florin Isvoranu; Davide Pellis; Tian Chen; Mark Pauly; |
118 | Filament Based Plasma Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We demonstrate the fidelity of our method by comparing the resulting renderings with actual images of our sun’s corona. |
Marcel Padilla; Oliver Gross; Felix Knöppel; Albert Chern; Ulrich Pinkall; Peter Schröder; |
119 | A Moving Eulerian-lagrangian Particle Method for Thin Film and Foam Simulation Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present the Moving Eulerian-Lagrangian Particles (MELP), a novel mesh-free method for simulating incompressible fluid on thin films and foams. |
Yitong Deng; Mengdi Wang; Xiangxin Kong; Shiying Xiong; Zangyueyang Xian; Bo Zhu; |
120 | Ecoclimates: Climate-response Modeling of Vegetation Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this work we take steps towards simulating ecoclimates by modeling the feedback loops between vegetation, soil, and atmosphere. |
Wojtek Pałubicki; Miłosz Makowski; Weronika Gajda; Torsten Hädrich; Dominik L. Michels; Sören Pirk; |
121 | Unified Many-worlds Browsing of Arbitrary Physics-based Animations Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we propose Unified Many-Worlds Browsing (UMWB), a practical method for sample-level control and exploration of physics-based animations. |
Purvi Goel; Doug L. James; |
122 | Computational Pattern Making from 3D Garment Models Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We propose a method for computing a sewing pattern of a given 3D garment model. |
Nico Pietroni; Corentin Dumery; Raphael Falque; Mark Liu; Teresa Vidal-Calleja; Olga Sorkine-Hornung; |
123 | NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of Garments Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: We propose to use a garment sewing pattern, a realistic and compact garment descriptor, to facilitate the intrinsic garment shape estimation. |
Maria Korosteleva; Sung-Hee Lee; |
124 | Clustered Vector Textures Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: This paper proposes an algorithm for generating vector patterns with diverse shapes and structured local interactions via a sample-based representation. |
Peihan Tu; Li-Yi Wei; Matthias Zwicker; |
125 | As-locally-uniform-as-possible Reshaping of Vector Clip-art Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We propose a targeted As-Locally-Uniform-as-Possible (ALUP) vector clip-art reshaping method that satisfies the properties above. |
Chrystiano Araújo; Nicholas Vining; Enrique Rosales; Giorgio Gori; Alla Sheffer; |
126 | AvatarCLIP: Zero-shot Text-driven Generation and Animation of 3D Avatars Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: However, the whole production process is prohibitively time-consuming and labor-intensive. To democratize this technology to a larger audience, we propose AvatarCLIP, a zero-shot text-driven framework for 3D avatar generation and animation. |
Fangzhou Hong; Mingyuan Zhang; Liang Pan; Zhongang Cai; Lei Yang; Ziwei Liu; |
127 | Text2Human: Text-driven Controllable Human Image Generation Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: In this work, we present a text-driven controllable framework, Text2Human, for a high-quality and diverse human generation. |
Yuming Jiang; Shuai Yang; Haonan Qju; Wayne Wu; Chen Change Loy; Ziwei Liu; |
128 | Authentic Volumetric Avatars from A Phone Scan Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: Creating photorealistic avatars of existing people currently requires extensive person-specific data capture, which is usually only accessible to the VFX industry and not the general public. Our work aims to address this drawback by relying only on a short mobile phone capture to obtain a drivable 3D head avatar that matches a person’s likeness faithfully. |
Chen Cao; Tomas Simon; Jin Kyu Kim; Gabe Schwartz; Michael Zollhoefer; Shun-Suke Saito; Stephen Lombardi; Shih-En Wei; Danielle Belko; Shoou-I Yu; Yaser Sheikh; Jason Saragih; |
129 | Artemis: Articulated Neural Pets with Appearance and Motion Synthesis Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: In this paper, we present ARTEMIS, a novel neural modeling and rendering pipeline for generating ARTiculated neural pets with appEarance and Motion synthesIS. |
Haimin Luo; Teng Xu; Yuheng Jiang; Chenglin Zhou; Qiwei Qiu; Yingliang Zhang; Wei Yang; Lan Xu; Jingyi Yu; |
130 | Facial Hair Tracking for High Fidelity Performance Capture Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we propose the first multiview reconstruction pipeline that tracks both the dense 3D facial hair, as well as the underlying 3D skin for entire performances. |
Sebastian Winberg; Gaspard Zoss; Prashanth Chandran; Paulo Gotardo; Derek Bradley; |
131 | EyeNeRF: A Hybrid Representation for Photorealistic Synthesis, Animation and Relighting of Human Eyes Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present a novel geometry and appearance representation that enables high-fidelity capture and photorealistic animation, view synthesis and relighting of the eye region using only a sparse set of lights and cameras. |
Gengyan Li; Abhimitra Meka; Franziska Mueller; Marcel C. Buehler; Otmar Hilliges; Thabo Beeler; |
132 | DeepFaceVideoEditing: Sketch-based Deep Editing of Face Videos Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: However, it is nontrivial to extend such methods to video editing due to various challenges, ranging from appropriate manipulation propagation and fusion of multiple editing operations to ensure temporal coherence and visual quality. To address these issues, we propose a novel sketch-based facial video editing framework, in which we represent editing manipulations in latent space and propose specific propagation and fusion modules to generate high-quality video editing results based on StyleGAN3. |
Feng-Lin Liu; Shu-Yu Chen; Yu-Kun Lai; Chunpeng Li; Yue-Ren Jiang; Hongbo Fu; Lin Gao; |
133 | Local Anatomically-constrained Facial Performance Retargeting Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present a new method for high-fidelity offline facial performance retargeting that is neither expensive nor artifact-prone. |
Prashanth Chandran; Loïc Ciccone; Markus Gross; Derek Bradley; |
134 | Comparison of Single Image HDR Reconstruction Methods — The Caveats of Quality Assessment Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this work, we compared six recent single image HDR reconstruction (SI-HDR) methods in a subjective image quality experiment on an HDR display. |
Param Hanji; Rafal Mantiuk; Gabriel Eilertsen; Saghi Hajisharif; Jonas Unger; |
135 | Unsupervised Kinematic Motion Detection for Part-segmented 3D Shape Collections Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: In this paper, we present an unsupervised approach for discovering articulated motions in a part-segmented 3D shape collection. |
Xianghao Xu; Yifan Ruan; Srinath Sridhar; Daniel Ritchie; |
136 | Low-poly Mesh Generation for Building Models Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: This can take hours and involve tedious trial and error. We propose a novel and simple algorithm to automate this process by converting high-poly 3D building models into both simple and visually preserving low-poly meshes. |
Xifeng Gao; Kui Wu; Zherong Pan; |
137 | Neural Layered BRDFs Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we propose to perform layering in the neural space, by compressing BRDFs into latent codes via a proposed representation neural network, and performing a learned layering operation on these latent vectors via a layering network. |
Jiahui Fan; Beibei Wang; Milos Hasan; Jian Yang; Ling-Qi Yan; |
138 | Node Graph Optimization Using Differentiable Proxies Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we propose a fully differentiable framework which enables end-to-end gradient-based optimization of material graphs, even if some functions of the graph are non-differentiable. |
Yiwei Hu; Paul Guerrero; Milos Hasan; Holly Rushmeier; Valentin Deschaintre; |
139 | Go Green: General Regularized Green’s Functions for Elasticity Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: For instance, the recent work of de Goes and James [2017] leveraged these Green’s functions to formulate sculpting tools capturing in real-time broad and physically-plausible deformations more intuitively and realistically than traditional editing brushes. In this paper, we extend this family of Green’s functions by exploiting the anisotropic behavior of general linear elastic materials, where the relationship between stress and strain in the material depends on its orientation. |
Jiong Chen; Mathieu Desbrun; |
140 | Diffeomorphic Neural Surface Parameterization for 3D and Reflectance Acquisition Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: This paper proposes a simple method which solves the problem of multi-view 3D reconstruction for objects with unknown and generic surface materials, imaged by a freely moving camera and lit by a freely moving point light source. |
Ziang Cheng; Hongdong Li; Richard Hartley; Yinqiang Zheng; Imari Sato; |
141 | Neural Shadow Mapping Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present a neural extension of basic shadow mapping for fast, high quality hard and soft shadows. |
Sayantan Datta; Derek Nowrouzezahrai; Christoph Schied; Zhao Dong; |
142 | Rendering Neural Materials on Curved Surfaces Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: However, they still approximate the material on an infinite plane, which prevents them from correctly handling silhouette and parallax effects for viewing directions close to grazing. The goal of this paper is to design a neural material representation capable of correctly handling such silhouette effects. |
Alexandr Kuznetsov; Xuezheng Wang; Krishna Mullia; Fujun Luan; Zexiang Xu; Milos Hasan; Ravi Ramamoorthi; |
143 | Face Extrusion Quad Meshes Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We propose a 3D object construction methodology built on face-loop modeling operations. |
Karran Pandey; J. Andreas Bærentzen; Karan Singh; |
144 | Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion Networks Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: We present a learning algorithm that uses bone-driven motion networks to predict the deformation of loose-fitting garment meshes at interactive rates. |
Xiaoyu Pan; Jiaming Mai; Xinwei Jiang; Dongxue Tang; Jingxiang Li; Tianjia Shao; Kun Zhou; Xiaogang Jin; Dinesh Manocha; |
145 | Domain Enhanced Arbitrary Image Style Transfer Via Contrastive Learning Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: In this work, we tackle the challenging problem of arbitrary image style transfer using a novel style feature representation learning method. |
Yuxin Zhang; Fan Tang; Weiming Dong; Haibin Huang; Chongyang Ma; Tong-Yee Lee; Changsheng Xu; |
146 | Shoot360: Normal View Video Creation from City Panorama Footage Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present Shoot360, a system that efficiently generates multi-shot normal view videos with desired content presentation and various cinematic styles, given a collection of 360 video recordings on different environments. |
Anyi Rao; Linning Xu; Dahua Lin; |
147 | Single-View View Synthesis in The Wild with Learned Adaptive Multiplane Images Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: We propose a new method based on the multiplane image (MPI) representation. |
Yuxuan Han; Ruicheng Wang; Jiaolong Yang; |
148 | Palette: Image-to-Image Diffusion Models Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: This paper develops a unified framework for image-to-image translation based on conditional diffusion models and evaluates this framework on four challenging image-to-image translation tasks, namely colorization, inpainting, uncropping, and JPEG restoration. |
Chitwan Saharia; William Chan; Huiwen Chang; Chris Lee; Jonathan Ho; Tim Salimans; David Fleet; Mohammad Norouzi; |
149 | Self-Conditioned GANs for Image Editing Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We argue that this bias is responsible not only for fairness concerns, but that it plays a key role in the collapse of latent-traversal editing methods when deviating away from the distribution’s core. Building on this observation, we outline a method for mitigating generative bias through a self-conditioning process, where distances in the latent-space of a pre-trained generator are used to provide initial labels for the data. |
Yunzhe Liu; Rinon Gal; Amit H. Bermano; Baoquan Chen; Daniel Cohen-Or; |
150 | A Theoretical Analysis of Compactness of The Light Transport Operator Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper we analyze compactness, a key property that is independent of its discretization and which characterizes the ability to approximate the operator uniformly by a sequence of finite rank operators. |
Cyril Soler; Ronak Molazem; Kartic Subr; |
151 | Self-Supervised Post-Correction for Monte Carlo Denoising Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: A pre-trained network may not properly denoise such an image since it is unseen data from a supervised learning perspective. To address this fundamental issue, we introduce a post-processing network that improves the performance of supervised learning denoisers. |
Jonghee Back; Binh-Son Hua; Toshiya Hachisuka; Bochang Moon; |
152 | Symmetry-driven 3D Reconstruction from Concept Sketches Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present a new symmetry-driven algorithm for recovering designer-intended 3D geometry from concept sketches. |
Felix Hähnlein; Yulia Gryaditskaya; Alla Sheffer; Adrien Bousseau; |
153 | Stability-Aware Simplification of Curve Networks Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present a novel method for fabrication-aware simplification of curve networks, algorithmically selecting a stable subset of given 3D curves. |
William Neveu; Ivan Puhachov; Bernhard Thomaszewski; Mikhail Bessmeltsev; |
154 | Designing Perceptual Puzzles By Differentiating Probabilistic Programs Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We design new visual illusions by finding adversarial examples for principled models of human perception – specifically, for probabilistic models, which treat vision as Bayesian inference. |
Kartik Chandra; Tzu-Mao Li; Joshua Tenenbaum; Jonathan Ragan-Kelley; |
155 | Generative GaitNet Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we present Generative GaitNet, which is a novel network architecture based on deep reinforcement learning for controlling a comprehensive, full-body, musculoskeletal model with 304 Hill-type musculotendons. |
Jungnam Park; Sehee Min; Phil Sik Chang; Jaedong Lee; Moon Seok Park; Jehee Lee; |
156 | Deep Compliant Control Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: This paper aims to build a framework for simulation and control of humanoids that creates physically compliant interactions with surroundings. |
Seunghwan Lee; Phil Sik Chang; Jehee Lee; |
157 | Learning to Brachiate Via Simplified Model Imitation Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: It is challenging to control because of the limited control authority, the required advance planning, and the precision of the required grasps. We present a novel approach to this problem using reinforcement learning, and as demonstrated on a finger-less 14-link planar model that learns to brachiate across challenging handhold sequences. |
Daniele Reda; Hung Yu Ling; Michiel van de Panne; |
158 | Learning Soccer Juggling Skills with Layer-wise Mixture-of-Experts Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: We present a system to learn control policies for multiple soccer juggling skills, based on deep reinforcement learning. We introduce a task-description framework for these skills which facilitates the specification of individual soccer juggling tasks and the transitions between them. |
Zhaoming Xie; Sebastian Starke; Hung Yu Ling; Michiel van de Panne; |
159 | Neural 3D Reconstruction in the Wild Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We introduce a new method that enables efficient and accurate surface reconstruction from Internet photo collections in the presence of varying illumination. |
Jiaming Sun; Xi Chen; Qianqian Wang; Zhengqi Li; Hadar Averbuch-Elor; Xiaowei Zhou; Noah Snavely; |
160 | ReLU Fields: The Little Non-linearity That Could Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: Hence, in this work, we investigate what is the smallest change to grid-based representations that allows for retaining the high fidelity result of MLPs while enabling fast reconstruction and rendering times. |
Animesh Karnewar; Tobias Ritschel; Oliver Wang; Niloy Mitra; |
161 | Random Walks for Adversarial Meshes Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: This paper proposes a novel, unified, and general adversarial attack, which leads to misclassification of several state-of-the-art mesh classification neural networks. |
Amir Belder; Gal Yefet; Ran Ben-Itzhak; Ayellet Tal; |
162 | ImLoveNet: Misaligned Image-supported Registration Network for Low-overlap Point Cloud Pairs Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: To answer it, we propose a misaligned image supported registration network for low-overlap point cloud pairs, dubbed ImLoveNet. |
Honghua Chen; Zeyong Wei; Yabin Xu; Mingqiang Wei; Jun Wang; |
163 | Möbius Convolutions for Spherical CNNs Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: Here we present a novel, Möbius-equivariant spherical convolution operator which we call Möbius convolution; with it, we develop the foundations for Möbius-equivariant spherical CNNs. |
Thomas W. Mitchel; Noam Aigerman; Vladimir G. Kim; Michael Kazhdan; |
164 | Learning Smooth Neural Functions Via Lipschitz Regularization Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this work, we introduce a novel regularization designed to encourage smooth latent spaces in neural fields by penalizing the upper bound on the field’s Lipschitz constant. |
Hsueh-Ti Derek Liu; Francis Williams; Alec Jacobson; Sanja Fidler; Or Litany; |
165 | Time-multiplexed Neural Holography: A Flexible Framework for Holographic Near-eye Displays with Fast Heavily-quantized Spatial Light Modulators Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: The speed of these SLMs offers time multiplexing capabilities, essentially enabling partially-coherent holographic display modes. Here we report advances in camera-calibrated wave propagation models for these types of holographic near-eye displays and we develop a CGH framework that robustly optimizes the heavily quantized phase patterns of fast SLMs. |
Suyeon Choi; Manu Gopakumar; Yifan Peng; Jonghyun Kim; Matthew O’Toole; Gordon Wetzstein; |
166 | Holographic Glasses for Virtual Reality Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present Holographic Glasses, a holographic near-eye display system with an eyeglasses-like form factor for virtual reality. |
Jonghyun Kim; Manu Gopakumar; Suyeon Choi; Yifan Peng; Ward Lopes; Gordon Wetzstein; |
167 | Learning From Documents in The Wild to Improve Document Unwarping Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this work, we propose to improve document unwarping performance by incorporating real-world images in training. |
Ke Ma; Sagnik Das; Zhixin Shu; Dimitris Samaras; |
168 | Compact Poisson Filters for Fast Fluid Simulation Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We propose a new Poisson filter-based solver that balances between the strengths of spectral and iterative methods. |
Amir Hossein Rabbani; Jean-Philippe Guertin; Damien Rioux-Lavoie; Arnaud Schoentgen; Kaitai Tong; Alexandre Sirois-Vigneux; Derek Nowrouzezahrai; |
169 | GWA: A Large High-Quality Acoustic Dataset for Audio Processing Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: We present the Geometric-Wave Acoustic (GWA) dataset, a large-scale audio dataset of about 2 million synthetic room impulse responses (IRs) and their corresponding detailed geometric and simulation configurations. |
Zhenyu Tang; Rohith Aralikatti; Anton Jeran Ratnarajah; Dinesh Manocha; |
170 | Analytically Integratable Zero-restlength Springs for Capturing Dynamic Modes Unrepresented By Quasistatic Neural Networks Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present a novel paradigm for modeling certain types of dynamic simulation in real-time with the aid of neural networks. |
Yongxu Jin; Yushan Han; Zhenglin Geng; Joseph Teran; Ronald Fedkiw; |
171 | Reconstructing Translucent Objects Using Differentiable Rendering Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: To efficiently optimize our models in the presence of the Monte Carlo noise introduced by the BSSRDF integral, we introduce a dual-buffer method for evaluating the L2 image loss. |
Xi Deng; Fujun Luan; Bruce Walter; Kavita Bala; Steve Marschner; |
172 | Eikonal Fields for Refractive Novel-View Synthesis Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We tackle the problem of generating novel-view images from collections of 2D images showing refractive and reflective objects. |
Mojtaba Bemana; Karol Myszkowski; Jeppe Revall Frisvad; Hans-Peter Seidel; Tobias Ritschel; |
173 | NeuralPassthrough: Learned Real-Time View Synthesis for VR Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: In this paper, we propose the first learned passthrough method and assess its performance using a custom VR headset that contains a stereo pair of RGB cameras. |
Lei Xiao; Salah Nouri; Joel Hegland; Alberto Garcia Garcia; Douglas Lanman; |
174 | Variable Bitrate Neural Fields Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: Unfortunately, these feature grids usually come at the cost of significantly increased memory consumption compared to stand-alone neural network models. We present a dictionary method for compressing such feature grids, reducing their memory consumption by up to 100 × and permitting a multiresolution representation which can be useful for out-of-core streaming. |
Towaki Takikawa; Alex Evans; Jonathan Tremblay; Thomas Müller; Morgan McGuire; Alec Jacobson; Sanja Fidler; |
175 | -Functions Piecewise-linear Approximation from Noisy and Hermite Data Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We introduce ?-functions, providing piecewise linear approximation to given data as the difference of two convex functions. |
Marc Alexa; |
176 | Rendering Iridescent Rock Dove Neck Feathers Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We introduce a new feather modeling and rendering framework, which abstracts the microscopic geometry and reflectance into a microfacet-like BSDF. |
Weizhen Huang; Sebastian Merzbach; Clara Callenberg; Doekele Stavenga; Matthias Hullin; |
177 | ShaderTransformer: Predicting Shader Quality Via One-shot Embedding for Fast Simplification Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we present a deep learning-based framework for predicting a shader’s simplification space, where the shader’s variants can be embedded into a metric space all at once for efficient quality evaluation. |
Yuchi Huo; Shi Li; Yazhen Yuan; Xu Chen; Rui Wang; Wenting Zheng; Hai Lin; Hujun Bao; |
178 | QuickPose: Real-time Multi-view Multi-person Pose Estimation in Crowded Scenes Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: This work proposes a real-time algorithm for reconstructing 3D human poses in crowded scenes from multiple calibrated views. |
Zhize Zhou; Qing Shuai; Yize Wang; Qi Fang; Xiaopeng Ji; Fashuai Li; Hujun Bao; Xiaowei Zhou; |
179 | A Motion Matching-based Framework for Controllable Gesture Synthesis from Speech Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: Furthermore, training such models in a supervised manner often does not capture the multi-modal nature of the data, particularly because the same audio input can produce different gesture outputs. To address these problems, we present an approach for generating controllable 3D gestures that combines the advantage of database matching and deep generative modeling. |
Ikhsanul Habibie; Mohamed Elgharib; Kripasindhu Sarkar; Ahsan Abdullah; Simbarashe Nyatsanga; Michael Neff; Christian Theobalt; |
180 | Learning to Get Up Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: In this paper, we present a staged approach using reinforcement learning, without recourse to motion capture data. |
Tianxin Tao; Matthew Wilson; Ruiyu Gou; Michiel van de Panne; |
181 | CLIP2StyleGAN: Unsupervised Extraction of StyleGAN Edit Directions Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this work, we investigate how to effectively link the pretrained latent spaces of StyleGAN and CLIP, which in turn allows us to automatically extract semantically-labeled edit directions from StyleGAN, finding and naming meaningful edit operations, in a fully unsupervised setup, without additional human guidance. |
Rameen Abdal; Peihao Zhu; John Femiani; Niloy Mitra; Peter Wonka; |
182 | StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: Our final model, StyleGAN-XL, sets a new state-of-the-art on large-scale image synthesis and is the first to generate images at a resolution of 10242 at such a dataset scale. |
Axel Sauer; Katja Schwarz; Andreas Geiger; |
183 | Self-Distilled StyleGAN: Towards Generation from Internet Photos Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: In this paper, we show how StyleGAN can be adapted to work on raw uncurated images collected from the Internet. |
Ron Mokady; Omer Tov; Michal Yarom; Oran Lang; Inbar Mosseri; Tali Dekel; Daniel Cohen-Or; Michal Irani; |
184 | Perceptual Requirements for Eye-Tracked Distortion Correction in VR Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present a virtual reality display system simulator that accurately reproduces gaze-contingent distortions created by any viewing optic. |
Phillip Guan; Olivier Mercier; Michael Shvartsman; Douglas Lanman; |
185 | LeviPrint: Contactless Fabrication Using Full Acoustic Trapping of Elongated Parts Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: LeviPrint is a system for assembling objects in a contactless manner using acoustic levitation. |
Iñigo Ezcurdia; Rafael Morales; Marco A. B. Andrade; Asier Marzo; |
186 | CCP: Configurable Crowd Profiles Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we present a RL-based framework for learning multiple agent behaviors concurrently. |
Andreas Panayiotou; Theodoros Kyriakou; Marilena Lemonari; Yiorgos Chrysanthou; Panayiotis Charalambous; |
187 | Stroke Transfer: Example-based Synthesis of Animatable Stroke Styles Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present stroke transfer, an example-based synthesis method of brushstrokes for animated scenes under changes in viewpoint, lighting conditions, and object shapes. |
Hideki Todo; Kunihiko Kobayashi; Jin Katsuragi; Haruna Shimotahira; Shizuo Kaji; Yonghao Yue; |
188 | MoRF: Morphable Radiance Fields for Multiview Neural Head Modeling Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we propose a new Morphable Radiance Field (MoRF) method that extends a NeRF into a generative neural model that can realistically synthesize multiview-consistent images of complete human heads, with variable and controllable identity. |
Daoye Wang; Prashanth Chandran; Gaspard Zoss; Derek Bradley; Paulo Gotardo; |
189 | Drivable Volumetric Avatars Using Texel-Aligned Features Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this work, we propose an end-to-end framework that addresses two core challenges in modeling and driving full-body avatars of real people. |
Edoardo Remelli; Timur Bagautdinov; Shunsuke Saito; Chenglei Wu; Tomas Simon; Shih-En Wei; Kaiwen Guo; Zhe Cao; Fabian Prada; Jason Saragih; Yaser Sheikh; |
190 | Novel View Synthesis of Human Interactions from Sparse Multi-view Videos Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: This paper presents a novel system for generating free-viewpoint videos of multiple human performers from very sparse RGB cameras. |
Qing Shuai; Chen Geng; Qi Fang; Sida Peng; Wenhao Shen; Xiaowei Zhou; Hujun Bao; |
191 | VoLux-GAN: A Generative Model for 3D Face Synthesis with HDRI Relighting Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We propose VoLux-GAN, a generative framework to synthesize 3D-aware faces with convincing relighting. |
Feitong Tan; Sean Fanello; Abhimitra Meka; Sergio Orts-Escolano; Danhang Tang; Rohit Pandey; Jonathan Taylor; Ping Tan; Yinda Zhang; |
192 | Deep Deformable 3D Caricatures with Learned Shape Control Related Papers Related Patents Related Grants Related Orgs Related Experts Related Code View Highlight: The goal of this paper is to model the variations of 3D caricatures in a compact parameter space so that we can provide a useful data-driven toolkit for handling 3D caricature deformations. |
Yucheol Jung; Wonjong Jang; Soongjin Kim; Jiaolong Yang; Xin Tong; Seungyong Lee; |
193 | Animating Portrait Line Drawings from A Single Face Photo and A Speech Signal Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: Simply concatenating a realistic talking face video generation model with a photo-to-drawing style transfer module suffers from severe inter-frame discontinuity issues. To address this new challenge, we propose a novel framework to generate artistic talking portrait-line-drawing video, given a single face photo and a speech signal. |
Ran Yi; Zipeng Ye; Ruoyu Fan; Yezhi Shu; Yong-Jin Liu; Yu-Kun Lai; Paul L. Rosin; |
194 | EAMM: One-Shot Emotional Talking Face Via Audio-Based Emotion-Aware Motion Model Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we propose the Emotion-Aware Motion Model (EAMM) to generate one-shot emotional talking faces by involving an emotion source video. |
Xinya Ji; Hang Zhou; Kaisiyuan Wang; Qianyi Wu; Wayne Wu; Feng Xu; Xun Cao; |