Paper Digest: SIGGRAPH 2020 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 2020, it is to be held virtually due to covid-19 pandemic.
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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Paper Digest Team
TABLE 1: SIGGRAPH 2020 Papers
|A level-set method for magnetic substance simulation
|Xingyu Ni, Bo Zhu, Bin Wang, Baoquan Chen
|We present a versatile numerical approach to simulating various magnetic phenomena using a level-set method.
|A massively parallel and scalable multi-CPU material point method
|Xinlei Wang, Yuxing Qiu, Stuart R. Slattery, Yu Fang, Minchen Li, Song-Chun Zhu, Yixin Zhu, Min Tang, Dinesh Manocha, Chenfanfu Jiang
|Harnessing the power of modern multi-GPU architectures, we present a massively parallel simulation system based on the Material Point Method (MPM) for simulating physical behaviors of materials undergoing complex topological changes, self-collision, and large deformations.
|A model for soap film dynamics with evolving thickness
|Sadashige Ishida, Peter Synak, Fumiya Narita, Toshiya Hachisuka, Chris Wojtan
|In this paper, we model these natural phenomena by introducing the film thickness as a reduced degree of freedom in the Navier-Stokes equations and deriving their equations of motion.
|A practical octree liquid simulator with adaptive surface resolution
|Ryoichi Ando, Christopher Batty
|We propose a new adaptive liquid simulation framework that achieves highly detailed behavior with reduced implementation complexity.
|A scalable approach to control diverse behaviors for physically simulated characters
|Jungdam Won, Deepak Gopinath, Jessica Hodgins
|In this paper, we develop a technique for learning controllers for a large set of heterogeneous behaviors.
|Accurate face rig approximation with deep differential subspace reconstruction
|Steven L. Song, Weiqi Shi, Michael Reed
|We propose a rig approximation method that addresses these issues by learning localized shape information in differential coordinates and, separately, a subspace for mesh reconstruction.
|Adaptive merging for rigid body simulation
|Eulalie Coevoet, Otman Benchekroun, Paul G. Kry
|We reduce computation time in rigid body simulations by merging collections of bodies when they share a common spatial velocity.
|An implicit compressible SPH solver for snow simulation
|Christoph Gissler, Andreas Henne, Stefan Band, Andreas Peer, Matthias Teschner
|We present a novel Lagrangian snow approach based on Smoothed Particle Hydrodynamics (SPH).
|AnisoMPM: animating anisotropic damage mechanics
|Joshuah Wolper, Yunuo Chen, Minchen Li, Yu Fang, Ziyin Qu, Jiecong Lu, Meggie Cheng, Chenfanfu Jiang
|Thus, we present AnisoMPM: a robust and general approach for animating the dynamic fracture of isotropic, transversely isotropic, and orthotropic materials.
|CARL: controllable agent with reinforcement learning for quadruped locomotion
|Ying-Sheng Luo, Jonathan Hans Soeseno, Trista Pei-Chun Chen, Wei-Chao Chen
|In this paper, we present CARL, a quadruped agent that can be controlled with high-level directives and react naturally to dynamic environments.
|Catch & Carry: reusable neural controllers for vision-guided whole-body tasks
|Josh Merel, Saran Tunyasuvunakool, Arun Ahuja, Yuval Tassa, Leonard Hasenclever, Vu Pham, Tom Erez, Greg Wayne, Nicolas Heess
|We address the longstanding challenge of producing flexible, realistic humanoid character controllers that can perform diverse whole-body tasks involving object interactions.
|Character controllers using motion VAEs
|Hung Yu Ling, Fabio Zinno, George Cheng, Michiel Van De Panne
|We learn data-driven generative models of human movement using autoregressive conditional variational autoencoders, or Motion VAEs.
|Chemomechanical simulation of soap film flow on spherical bubbles
|Weizhen Huang, Julian Iseringhausen, Tom Kneiphof, Ziyin Qu, Chenfanfu Jiang, Matthias B. Hullin
|We propose a novel chemomechanical simulation framework rooted in lubrication theory, which makes use of a custom semi-Lagrangian advection solver to enable the simulation of soap film dynamics on spherical bubbles both in free flow as well as under body forces such as gravity or external air flow.
|Codimensional surface tension flow using moving-least-squares particles
|Hui Wang, Yongxu Jin, Anqi Luo, Xubo Yang, Bo Zhu
|We propose a new Eulerian-Lagrangian approach to simulate the various surface tension phenomena characterized by volume, thin sheets, thin filaments, and points using Moving-Least-Squares (MLS) particles.
|Constraint bubbles and affine regions: reduced fluid models for efficient immersed bubbles and flexible spatial coarsening
|Ryan Goldade, Mridul Aanjaneya, Christopher Batty
|To support bubbles with non-zero densities, we propose a novel reduced model for an irregular fluid region with a single pointwise incompressible affine vector field.
|Directional sources and listeners in interactive sound propagation using reciprocal wave field coding
|Chakravarty R. Alla Chaitanya, Nikunj Raghuvanshi, Keith W. Godin, Zechen Zhang, Derek Nowrouzezahrai, John M. Snyder
|We present the first wave-based interactive auralization system that encodes and renders a complete reciprocal description of acoustic wave fields in general scenes.
|Example-driven virtual cinematography by learning camera behaviors
|Hongda Jiang, Bin Wang, Xi Wang, Marc Christie, Baoquan Chen
|In this paper, we propose an example-driven camera controller which can extract camera behaviors from an example film clip and re-apply the extracted behaviors to a 3D animation, through learning from a collection of camera motions.
|Fast and flexible multilegged locomotion using learned centroidal dynamics
|Taesoo Kwon, Yoonsang Lee, Michiel Van De Panne
|We present a flexible and efficient approach for generating multilegged locomotion.
|Fast and scalable turbulent flow simulation with two-way coupling
|Wei Li, Yixin Chen, Mathieu Desbrun, Changxi Zheng, Xiaopei Liu
|In this paper, we introduce a novel low-dissipation and low-dispersion fluid solver that can simulate two-way coupling in an efficient and scalable manner, even for turbulent flows.
|Homogenized yarn-level cloth
|Georg Sperl, Rahul Narain, Chris Wojtan
|We present a method for animating yarn-level cloth effects using a thin-shell solver.
|Incremental potential contact: intersection-and inversion-free, large-deformation dynamics
|Minchen Li, Z Ac Hary Ferguson, Teseo Schneider, Timothy Langlois, Denis Zorin, Daniele Panozzo, Chenfanfu Jiang, Danny M. Kaufman
|To model the complex interaction of deforming solids in contact we propose Incremental Potential Contact (IPC) – a new model and algorithm for variationally solving implicitly time-stepped nonlinear elastodynamics.
|Informative scene decomposition for crowd analysis, comparison and simulation guidance
|Feixiang He, Yuanhang Xiang, Xi Zhao, He Wang
|In this paper, we propose a new framework which comprehensively tackles this problem.
|IQ-MPM: an interface quadrature material point method for non-sticky strongly two-way coupled nonlinear solids and fluids
|Yu Fang, Ziyin Qu, Minchen Li, Xinxin Zhang, Yixin Zhu, Mridul Aanjaneya, Chenfanfu Jiang
|We propose a novel scheme for simulating two-way coupled interactions between nonlinear elastic solids and incompressible fluids.
|Lagrangian neural style transfer for fluids
|Byungsoo Kim, Vinicius C. Azevedo, Markus Gross, Barbara Solenthaler
|In this paper, we present a neural style transfer approach from images to 3D fluids formulated in a Lagrangian viewpoint.
|Learned motion matching
|Daniel Holden, Oussama Kanoun, Maksym Perepichka, Tiberiu Popa
|In this paper we present a learned alternative to the Motion Matching algorithm which retains the positive properties of Motion Matching but additionally achieves the scalability of neural-network-based generative models.
|Local motion phases for learning multi-contact character movements
|Sebastian Starke, Yiwei Zhao, Taku Komura, Kazi Zaman
|In this paper, we propose a novel framework to learn fast and dynamic character interactions that involve multiple contacts between the body and an object, another character and the environment, from a rich, unstructured motion capture database.
|N-dimensional rigid body dynamics
|Marc Ten Bosch
|I present a formulation for Rigid Body Dynamics that is independent of the dimension of the space.
|Phong deformation: a better C
|Doug L. James
|In this paper, we propose Phong Deformation, a simple, robust and practical vertex-based quadratic interpolation scheme that, while still only C0 continuous like linear interpolation, greatly reduces visual artifacts for embedded geometry.
|Projective dynamics with dry frictional contact
|Mickaël Ly, Jean Jouve, Laurence Boissieux, Florence Bertails-Descoubes
|In this paper we propose a simple yet effective method to integrate in a unified and semi-implicit way contact as well as dry frictional forces into the nested architecture of Projective dynamics.
|RigNet: neural rigging for articulated characters
|Zhan Xu, Yang Zhou, Evangelos Kalogerakis, Chris Landreth, Karan Singh
|We present RigNet, an end-to-end automated method for producing animation rigs from input character models.
|Robust eulerian-on-lagrangian rods
|Rosa M. Sánchez-Banderas, Alejandro Rodríguez, Héctor Barreiro, Miguel A. Otaduy
|This paper introduces a method to simulate complex rod assemblies and stacked layers with implicit contact handling, through Eulerian-on-Lagrangian (EoL) discretizations.
|Robust motion in-betweening
|Félix G. Harvey, Mike Yurick, Derek Nowrouzezahrai, Christopher Pal
|In this work we present a novel, robust transition generation technique that can serve as a new tool for 3D animators, based on adversarial recurrent neural networks.
|Simple and scalable frictional contacts for thin nodal objects
|In this work we propose a unified approach, able to handle a large class of dynamical objects, that can solve for millions of contacts with unbiased Coulomb friction while keeping computation time and memory usage reasonable.
|Skeleton-aware networks for deep motion retargeting
|Kfir Aberman, Peizh Uo Li, Dani Lischinski, Olga Sorkine-Hornung, Daniel Cohen-Or, Baoquan Chen
|We introduce a novel deep learning framework for data-driven motion retargeting between skeletons, which may have different structure, yet corresponding to homeomorphic graphs.
|The leopard never changes its spots: realistic pigmentation pattern formation by coupling tissue growth with reaction-diffusion
|Marcelo De Gomensoro Malheiros, Henrique Fensterseifer, Marcelo Walter
|In this work, we have explored the expressiveness of combining simple mechanisms as a possible explanation for pigmentation pattern formation, where tissue growth plays a crucial role.
|Unpaired motion style transfer from video to animation
|Kfir Aberman, Yijia Weng, Dani Lischinski, Daniel Cohen-Or, Baoquan Chen
|In this paper, we present a novel data-driven framework for motion style transfer, which learns from an unpaired collection of motions with style labels, and enables transferring motion styles not observed during training.
|Wave curves: simulating lagrangian water waves on dynamically deforming surfaces
|Tomas Skrivan, Andreas Soderstrom, John Johansson, Christoph Sprenger, Ken Museth, Chris Wojtan
|We propose a method to enhance the visual detail of a water surface simulation.
|High resolution étendue expansion for holographic displays
|Grace Kuo, Laura Waller, Ren Ng, Andrew Maimone
|In this work, we introduce new algorithms to scattering-based étendue expansion that support dense, photorealistic imagery at the native resolution of the spatial light modulator, offering up to a 20 dB improvement in peak signal to noise ratio over baseline methods.
|Holographie optics for thin and lightweight virtual reality
|Andrew Maimone, Junren Wang
|We present a class of display designs combining holographic optics, directional backlighting, laser illumination, and polarization-based optical folding to achieve thin, lightweight, and high performance near-eye displays for virtual reality.
|Towards occlusion-aware multifocal displays
|Jen-Hao Rick Chang, Anat Levin, B. V. K. Vijaya Kumar, Aswin C. Sankaranarayanan
|This paper enables occlusion-aware multifocal displays using a novel ConeTilt operator that provides an additional degree of freedom — tilting the light cone emitted at each pixel of the display panel.
|Attribute2Font: creating fonts you want from attributes
|Yizhi Wang, Yue Gao, Zhouhui Lian
|Inspired by this fact, we propose a novel model, Attribute2Font, to automatically create fonts by synthesizing visually pleasing glyph images according to user-specified attributes and their corresponding values.
|Computational image marking on metals via laser induced heating
|Sebastian Cucerca, Piotr Didyk, Hans-Peter Seidel, Vahid Babaei
|Here, we propose a measurement-based, data-driven performance space exploration of the color laser marking process.
|Consistent video depth estimation
|Xuan Luo, Jia-Bin Huang, Richard Szeliski, Kevin Matzen, Johannes Kopf
|We present an algorithm for reconstructing dense, geometrically consistent depth for all pixels in a monocular video.
|DeepFaceDrawing: deep generation of face images from sketches
|Shu-Yu Chen, Wanchao Su, Lin Gao, Shihong Xia, Hongbo Fu
|To address this issue, our key idea is to implicitly model the shape space of plausible face images and synthesize a face image in this space to approximate an input sketch.
|Interactive video stylization using few-shot patch-based training
|Ond?ej Texler, David Futschik, Michal ku?era, Ond?ej jamriška, Šárka Sochorová, Menclei Chai, Sergey Tulyakov, Daniel SÝkora
|In this paper, we present a learning-based method to the keyframe-based video stylization that allows an artist to propagate the style from a few selected keyframes to the rest of the sequence.
|Interferometric transmission probing with coded mutual intensity
|Alankar Kotwal, Anat Levin, Ioannis Gkioulekas
|We introduce a new interferometric imaging methodology that we term interferometry with coded mutual intensity, which allows selectively imaging photon paths based on attributes such as their length and endpoints.
|Learning temporal coherence via self-supervision for GAN-based video generation
|Mengyu Chu, You Xie, Jonas Mayer, Laura Leal-Taixé, Nils Thuerey
|In contrast, we focus on improving learning objectives and propose a temporally self-supervised algorithm.
|One shot 3D photography
|Johannes Kopf, Kevin Matzen, Suhib Alsisan, Ocean Quigley, Francis Ge, Yangming Chong, Josh Patterson, Jan-Michael Frahm, Shu Wu, Matthew Yu, Peizhao Zhang, Zijian He, Peter Vajda, Ayush Saraf, Michael Cohen
|We present an end-to-end system for creating and viewing 3D photos, and the algorithmic and design choices therein.
|PolyFit: perception-aligned vectorization of raster clip-art via intermediate polygonal fitting
|Edoardo Alberto Dominici, Nico Schertler, Jonathan Griffin, Shayan Hoshyari, Leonid Sigal, Alla Sheffer
|We present PolyFit, a new clip-art vectorization method that produces vectorizations well aligned with human preferences.
|Portrait shadow manipulation
|Xuaner (Cecilia) Zhang, Jonathan T. Barron, Yun-Ta Tsai, Rohit Pandey, Xiuming Zhang, Ren Ng, David E. Jacobs
|In this paper, we present a computational approach that gives casual photographers some of this control, thereby allowing poorly-lit portraits to be relit post-capture in a realistic and easily-controllable way.
|Quanta burst photography
|Sizhuo Ma, Shantanu Gupta, Arin C. Ulku, Claudio Bruschini, Edoardo Charbon, Mohit Gupta
|We present quanta burst photography, a computational photography technique that leverages SPCs as passive imaging devices for photography in challenging conditions, including ultra low-light and fast motion.
|Single image HDR reconstruction using a CNN with masked features and perceptual loss
|Marcel Santana Santos, Tsang Ing Ren, Nima Khademi Kalantari
|In this paper, we present a novel learning-based approach to reconstruct an HDR image by recovering the saturated pixels of an input LDR image in a visually pleasing way.
|Single-shot high-quality facial geometry and skin appearance capture
|Jérémy Riviere, Paulo Gotardo, Derek Bradley, Abhijeet Ghosh, Thabo Beeler
|This paper proposes a solution to overcome this limitation, by adding appearance capture to photogrammetry systems.
|XNect: real-time multi-person 3D motion capture with a single RGB camera
|Dushyant Mehta, Oleksandr Sotnychenko, Franziska Mueller, Weipeng Xu, Mohamed Elgharib, Pascal Fua, Hans-Peter Seidel, Helge Rhodin, Gerard Pons-Moll, Christian Theobalt
|We present a real-time approach for multi-person 3D motion capture at over 30 fps using a single RGB camera.
|ARAnimator: in-situ character animation in mobile AR with user-defined motion gestures
|Hui Ye, Kin Chung Kwan, Wanchao Su, Hongbo Fu
|In this work we use an AR-enabled mobile device to directly control the position and motion of a virtual character situated in a real environment.
|HeadBlaster: a wearable approach to simulating motion perception using head-mounted air propulsion jets
|Shi-Hong Liu, Pai-Chien Yen, Yi-Hsuan Mao, Yu-Hsin Lin, Erick Chandra, Mike Y. Chen
|We present HeadBlaster, a novel wearable technology that creates motion perception by applying ungrounded force to the head to stimulate the vestibular and proprioception sensory systems.
|Human-in-the-loop differential subspace search in high-dimensional latent space
|Chia-Hsing Chiu, Yuki Koyama, Yu-Chi Lai, Takeo Igarashi, Yonghao Yue
|We propose differential subspace search to allow efficient iterative user exploration in such a space, without relying on domain- or data-specific assumptions.
|Immersive light field video with a layered mesh representation
|Michael Broxton, John Flynn, Ryan Overbeck, Daniel Erickson, Peter Hedman, Matthew Duvall, Jason Dourgarian, Jay Busch, Matt Whalen, Paul Debevec
|We present a system for capturing, reconstructing, compressing, and rendering high quality immersive light field video.
|MEgATrack: monochrome egocentric articulated hand-tracking for virtual reality
|Shangchen Han, Beibei Liu, Randi Cabezas, Christopher D. Twigg, Peizhao Zhang, Jeff Petkau, Tsz-Ho Yu, Chun-Jung Tai, Muzaffer Akbay, Zheng Wang, Asaf Nitzan, Gang Dong, Yuting Ye, Lingling Tao, Chengde Wan, Robert Wang
|We present a system for real-time hand-tracking to drive virtual and augmented reality (VR/AR) experiences.
|Sequential gallery for interactive visual design optimization
|Yuki Koyama, Issei Sato, Masataka Goto
|We propose a novel user-in-the-loop optimization method that allows users to efficiently find an appropriate parameter set by exploring such a high-dimensional design space through much easier two-dimensional search subtasks.
|Tactile line drawings for improved shape understanding in blind and visually impaired users
|Athina Panotopoulou, Xiaoting Zhang, Tammy Qiu, Xing-Dong Yang, Emily Whiting
|This paper describes a new technique to design tactile illustrations considering the needs of blind individuals.
|Tactile rendering based on skin stress optimization
|Mickeal Verschoor, Dan Casas, Miguel A. Otaduy
|We present a method to render virtual touch, such that the stimulus produced by a tactile device on a user’s skin matches the stimulus computed in a virtual environment simulation.
|The eyes have it: an integrated eye and face model for photorealistic facial animation
|Gabriel Schwartz, Shih-En Wei, Te-Li Wang, Stephen Lombardi, Tomas Simon, Jason Saragih, Yaser Sheikh
|Our primary contributions in this work are a jointly-learnable 3D face and eyeball model that better represents gaze direction and upper facial expressions, a method for disentangling the gaze of the left and right eyes from each other and the rest of the face allowing the model to represent entirely unseen combinations of gaze and expression, and a gaze-aware model for precise animation from headset-mounted cameras.
|CNNs on surfaces using rotation-equivariant features
|Ruben Wiersma, Elmar Eisemann, Klaus Hildebrandt
|We propose a network architecture for surfaces that consists of vector-valued, rotation-equivariant features.
|Code replicability in computer graphics
|Nicolas Bonneel, David Coeurjolly, Julie Digne, Nicolas Mellado
|In this work, we assess replicability in Computer Graphics, by evaluating whether the code is available and whether it works properly.
|Fast and deep facial deformations
|Stephen W. Bailey, Dalton Omens, Paul Dilorenzo, James F. O’Brien
|In this paper, we present a method using convolutional neural networks for approximating the mesh deformations of characters’ faces.
|MichiGAN: multi-input-conditioned hair image generation for portrait editing
|Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Lu Yuan, Sergey Tulyakov, Nenghai Yu
|In this paper, we present MichiGAN (Multi-Input-Conditioned Hair Image GAN), a novel conditional image generation method for interactive portrait hair manipulation.
|NASOQ: numerically accurate sparsity-oriented QP solver
|Kazem Cheshmi, Danny M. Kaufman, Shoaib Kamil, Maryam Mehri Dehnavi
|Towards addressing the need for accurate and efficient QP solvers at scale, we develop NASOQ, a new, full-space QP algorithm that provides accurate, efficient, and scalable solutions for QP problems.
|Nonlinear color triads for approximation, learning and direct manipulation of color distributions
|Maria Shugrina, Amlan Kar, Sanja Fidler, Karan Singh
|We present nonlinear color triads, an extension of color gradients able to approximate a variety of natural color distributions that have no standard interactive representation.
|RoboCut: hot-wire cutting with robot-controlled flexible rods
|Simon Duenser, Roi Poranne, Bernhard Thomaszewski, Stelian Coros
|In this work, we propose a method that exploits a dual-arm robot setup to actively control the shape of a flexible, heated rod as it cuts through the material.
|Sliced optimal transport sampling
|Lois Paulin, Nicolas Bonneel, David Coeurjolly, Jean-Claude Iehl, Antoine Webanck, Mathieu Desbrun, Victor Ostromoukhov
|In this paper, we introduce a numerical technique to generate sample distributions in arbitrary dimension for improved accuracy of Monte Carlo integration.
|Unsupervised K-modal styled content generation
|Omry Sendik, Dani Lischinski, Daniel Cohen-Or
|In this paper, we introduce uMM-GAN, a novel architecture designed to better model multi-modal distributions, in an unsupervised fashion.
|A low-parametric rhombic microstructure family for irregular lattices
|Davi Colli Tozoni, Jérémie Dumas, Zhongshi Jiang, Julian Panetta, Daniele Panozzo, Denis Zorin
|We propose a new approach to solving this problem for extruded, planar microstructures.
|Automatic structure synthesis for 3D woven relief
|Rundong Wu, Claire Harvey, Joy Xiaoji Zhang, Sean Kroszner, Brooks Hagan, Steve Marschner
|The goal of this research is to make 3D weaving as readily usable as CNC machining or 3D printing, by providing an algorithm to convert an arbitrary 3D solid model into machine instructions to weave the corresponding shape.
|Bézier guarding: precise higher-order meshing of curved 2D domains
|Manish Mandad, Marcel Campen
|We present a mesh generation algorithm for the curvilinear triangulation of planar domains with piecewise polynomial boundary.
|C-Space tunnel discovery for puzzle path planning
|Xinya Zhang, Robert Belfer, Paul G. Kry, Etienne Vouga
|We propose a tunnel-discovery and planning strategy for solving these puzzles.
|Computational design of skintight clothing
|Juan Montes, Bernhard Thomaszewski, Sudhir Mudur, Tiberiu Popa
|We propose an optimization-driven approach for automated, physics-based pattern design for tight-fitting clothing.
|Cut-enhanced PolyCube-maps for feature-aware all-hex meshing
|Hao-Xiang Guo, Xiaohan Liu, Dong-Ming Yan, Yang Liu
|In the presented work, we propose cut-enhanced PolyCube-Maps, to introduce essential interior singularities and preserve most input features.
|Data-driven extraction and composition of secondary dynamics in facial performance capture
|Gaspard Zoss, Eftychios Sifakis, Markus Gross, Thabo Beeler, Derek Bradley
|We propose a data-driven technique that comprises complementary removal and synthesis networks for secondary dynamics in facial performance capture.
|Deep geometric texture synthesis
|Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or
|In this work, we propose a novel framework for synthesizing geometric textures.
|Developability of heightfields via rank minimization
|Silvia Sellán, Noam Aigerman, Alec Jacobson
|This work concerns the computation and approximation of developable surfaces — surfaces that are locally isometric to the two-dimensional plane.
|Discrete differential operators on polygonal meshes
|Fernando De Goes, Andrew Butts, Mathieu Desbrun
|This paper introduces a principled construction of discrete differential operators on surface meshes formed by (possibly non-flat and non-convex) polygonal faces.
|Efficient bijective parameterizations
|Jian-Ping Su, Chunyang Ye, Ligang Liu, Xiao-Ming Fu
|We propose a novel method to efficiently compute bijective parameterizations with low distortion on disk topology meshes.
|ENIGMA: evolutionary non-isometric geometry MAtching
|Michal Edelstein, Danielle Ezuz, Mirela Ben-Chen
|In this paper we propose a fully automatic method for shape correspondence that is widely applicable, and especially effective for non isometric shapes and shapes of different topology.
|Error-bounded compatible remeshing
|Yang Yang, Wen-Xiang Zhang, Yuan Liu, Ligang Liu, Xiao-Ming Fu
|We present a novel method to construct compatible surface meshes with bounded approximation errors.
|Exact and efficient polyhedral envelope containment check
|Bolun Wang, Teseo Schneider, Yixin Hu, Marco Attene, Daniele Panozzo
|We introduce a new technique to check containment of a triangle within an envelope built around a given triangle mesh.
|Exertion-aware path generation
|Wanwan Li, Biao Xie, Yongqi Zhang, Walter Meiss, Haikun Huang, Lap-Fai Yu
|We propose a novel approach for generating paths with desired exertion properties, which can be used for delivering highly realistic and immersive virtual reality applications that help users achieve exertion goals.
|Fabrication-in-the-loop co-optimization of surfaces and styli for drawing haptics
|Michal Piovar?i, Danny M. Kaufman, David I. W. Levin, Piotr Didyk
|In this work, we address the problem of fabricating digital drawing tools that closely match the haptic feedback of their traditional counterparts.
|Fast tetrahedral meshing in the wild
|Yixin Hu, Teseo Schneider, Bolun Wang, Denis Zorin, Daniele Panozzo
|We propose a new tetrahedral meshing method, fTetWild, to convert triangle soups into high-quality tetrahedral meshes.
|Graph2Plan: learning floorplan generation from layout graphs
|Ruizhen Hu, Zeyu Huang, Yuhan Tang, Oliver Van Kaick, Hao Zhang, Hui Huang
|We introduce a learning framework for automated floorplan generation which combines generative modeling using deep neural networks and user-in-the-loop designs to enable human users to provide sparse design constraints.
|Inter-surface maps via constant-curvature metrics
|Patrick Schmidt, Marcel Campen, Janis Born, Leif Kobbelt
|We propose a novel approach to represent maps between two discrete surfaces of the same genus and to minimize intrinsic mapping distortion.
|Lifting simplices to find injectivity
|Xingyi Du, Noam Aigerman, Qingnan Zhou, Shahar Z. Kovalsky, Yajie Yan, Danny M. Kaufman, Tao Ju
|We propose a novel energy form, called Total Lifted Content (TLC), that is equipped with theoretical properties desirable for injectivity optimization.
|LoopyCuts: practical feature-preserving block decomposition for strongly hex-dominant meshing
|Marco Livesu, Nico Pietroni, Enrico Puppo, Alla Sheffer, Paolo Cignoni
|We present a new fully automatic block-decomposition algorithm for feature-preserving, strongly hex-dominant meshing, that yields results with a drastically larger percentage of hex elements than prior art.
|MGCN: descriptor learning using multiscale GCNs
|Yiqun Wang, Jing Ren, Dong-Ming Yan, Jianwei Guo, Xiaopeng Zhang, Peter Wonka
|We propose a novel framework for computing descriptors for characterizing points on three-dimensional surfaces.
|Monte Carlo geometry processing: a grid-free approach to PDE-based methods on volumetric domains
|Rohan Sawhney, Keenan Crane
|This paper explores how core problems in PDE-based geometry processing can be efficiently and reliably solved via grid-free Monte Carlo methods.
|Hsueh-Ti Derek Liu, Vladimir G. Kim, Siddhartha Chaudhuri, Noam Aigerman, Alec Jacobson
|This paper introduces Neural Subdivision, a novel framework for data-driven coarse-to-fine geometry modeling.
|On elastic geodesic grids and their planar to spatial deployment
|Stefan Pillwein, Kurt Leimer, Michael Birsak, Przemyslaw Musialski
|We propose a solution based on networks of geodesic curves on target surfaces and we introduce a set of conditions and assumptions which can be closely met in practice.
|Point2Mesh: a self-prior for deformable meshes
|Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or
|In this paper, we introduce Point2Mesh, a technique for reconstructing a surface mesh from an input point cloud.
|Principal symmetric meshes
|Davide Pellis, Hui Wang, Martin Kilian, Florian Rist, Helmut Pottmann, Christian Müller
|We describe two discrete versions of these special nets/quad meshes which are dual to each other and show their usefulness for various applications in the context of fabrication and architectural design.
|Quad-mesh based isometric mappings and developable surfaces
|Caigui Jiang, Cheng Wang, Florian Rist, Johannes Wallner, Helmut Pottmann
|In this paper, we employ optimization to efficiently compute isometric mappings, conformal mappings and isometric bending of surfaces.
|TilinGNN: learning to tile with self-supervised graph neural network
|Hao Xu, Ka-Hei Hui, Chi-Wing Fu, Hao Zhang
|We introduce the first neural optimization framework to solve a classical instance of the tiling problem.
|Uncertainty quantification for multi-scan registration
|Xiangru Huang, Zhenxiao Liang, Qixing Huang
|In this paper, we introduce a local uncertainty framework for geometric alignment algorithms.
|Variable-width contouring for additive manufacturing
|Samuel Hornus, Tim Kuipers, Olivier Devillers, Monique Teillaud, Jonàs Martínez, Marc Glisse, Sylvain Lazard, Sylvain Lefebvre
|We present a novel technique that, given a deposition width range, constructs a set of closed beads whose width varies within the prescribed range and fill the input shape.
|Vid2Curve: simultaneous camera motion estimation and thin structure reconstruction from an RGB video
|Peng Wang, Lingjie Liu, Nenglun Chen, Hung-Kuo Chu, Christian Theobalt, Wenping Wang
|Specifically, we present a new curve-based approach to estimate accurate camera poses by establishing correspondences between featureless thin objects in the foreground in consecutive video frames, without requiring visual texture in the background scene to lock on.
|A perceptual model of motion quality for rendering with adaptive refresh-rate and resolution
|Gyorgy Denes, Akshay Jindal, Aliaksei Mikhailiuk, Rafa? K. Mantiuk
|To find the best trade-off between the spatial resolution and refresh rate, we propose a perceptual visual model that predicts the quality of motion given an object velocity and predictability of motion.
|Analytic spherical harmonic gradients for real-time rendering with many polygonal area lights
|Lifan Wu, Guangyan Cai, Shuang Zhao, Ravi Ramamoorthi
|In this paper, we develop a novel analytic formula for the spatial gradients of the spherical harmonic coefficients for uniform polygonal area lights.
|Compositional neural scene representations for shading inference
|Jonathan Granskog, Fabrice Rousselle, Marios Papas, Jan Novák
|We present a technique for adaptively partitioning neural scene representations.
|Continuous multiple importance sampling
|Rex West, Iliyan Georgiev, Adrien Gruson, Toshiya Hachisuka
|To handle such cases we establish a continuous MIS (CMIS) formulation as a generalization of MIS to uncountably infinite sets of techniques.
|Converting stroked primitives to filled primitives
|In this paper, we present a solution to the stroke-to-fill conversion problem that addresses these issues.
|GS-PAT: high-speed multi-point sound-fields for phased arrays of transducers
|Diego Martinez Plasencia, Ryuji Hirayama, Roberto Montano-Murillo, Sriram Subramanian
|We present GS-PAT, a GPU multi-point phase retrieval algorithm, capable of computing 17K solutions per second for up to 32 simultaneous points in a mid-end consumer grade GPU (NVidia GTX 1660).
|Image-based acquisition and modeling of polarimetric reflectance
|Seung-Hwan Baek, Tizian Zeltner, Hyun Jin Ku, Inseung Hwang, Xin Tong, Wenzel Jakob, Min H. Kim
|Acquisition of such reflectance data is challenging due to the extremely large space of angular, spectral, and polarimetric configurations that must be observed, and we propose a scheme combining image-based acquisition with spectroscopic ellipsometry to perform measurements in a realistic amount of time.
|Langevin monte carlo rendering with gradient-based adaptation
|Fujun Luan, Shuang Zhao, Kavita Bala, Ioannis Gkioulekas
|We introduce a suite of Langevin Monte Carlo algorithms for efficient photorealistic rendering of scenes with complex light transport effects, such as caustics, interreflections, and occlusions.
|Massively parallel rendering of complex closed-form implicit surfaces
|Matthew J. Keeter
|We present a new method for directly rendering complex closed-form implicit surfaces on modern GPUs, taking advantage of their massive parallelism.
|Neural supersampling for real-time rendering
|Lei Xiao, Salah Nouri, Matt Chapman, Alexander Fix, Douglas Lanman, Anton Kaplanyan
|The main insight of our work is that in rendered content, the image pixels are point-sampled, but precise temporal dynamics are available.
|Path-space differentiable rendering
|Cheng Zhang, Bailey Miller, Kai Yan, Ioannis Gkioulekas, Shuang Zhao
|In this paper, we show how path integrals can be differentiated with respect to arbitrary differentiable changes of a scene.
|Penrose: from mathematical notation to beautiful diagrams
|Katherine Ye, Wode Ni, Max Krieger, Dor Ma’ayan, Jenna Wise, Jonathan Aldrich, Joshua Sunshine, Keenan Crane
|We introduce a system called Penrose for creating mathematical diagrams.
|Polar stroking: new theory and methods for stroking paths
|Mark J. Kilgard
|Guided by our theory, we develop a novel polar stroking method to render stroked paths robustly with an intuitive way to bound the tessellation error without needing recursion.
|Radiative backpropagation: an adjoint method for lightning-fast differentiable rendering
|Merlin Nimier-David, Sébastien Speierer, Benoît Ruiz, Wenzel Jakob
|We introduce radiative backpropagation, a fundamentally different approach to differentiable rendering that does not require a transcript, greatly improving its scalability and efficiency.
|Robust fitting of parallax-aware mixtures for path guiding
|Lukas Ruppert, Sebastian Herholz, Hendrik P. A. Lensch
|We introduce a parallax-aware distribution model based on parametric mixtures.
|Spatiotemporal reservoir resampling for real-time ray tracing with dynamic direct lighting
|Benedikt Bitterli, Chris Wyman, Matt Pharr, Peter Shirley, Aaron Lefohn, Wojciech Jarosz
|We introduce a new algorithm—ReSTIR—that renders such lighting interactively, at high quality, and without needing to maintain complex data structures.
|Specular manifold sampling for rendering high-frequency caustics and glints
|Tizian Zeltner, Iliyan Georgiev, Wenzel Jakob
|In this article, we propose a surprisingly simple and general sampling strategy for specular light paths including the above examples, unifying the previously disjoint areas of caustic and glint rendering into a single framework.
|The design and evolution of the UberBake light baking system
|Dario Seyb, Peter-Pike Sloan, Ari Silvennoinen, Micha? Iwanicki, Wojciech Jarosz
|We describe the design and evolution of UberBake, a global illumination system developed by Activision, which supports limited lighting changes in response to certain player interactions.
|Variance-aware path guiding
|Alexander Rath, Pascal Grittmann, Sebastian Herholz, Petr Vévoda, Philipp Slusallek, Jaroslav K?ivánek
|We present a generic procedure to derive theoretically optimal target densities for local path guiding.