Physics-based Character Control
Hierarchical Planning and Control for Box Loco-Manipulation
Zhaoming Xie, Jonathan Tseng, Sebastian Starke, Michiel van de Panne, and C. Karen Liu
MAAIP: Multi-Agent Adversarial Interaction Priors for imitation from fighting demonstrations for physics-based characters
Mohamed Younes, Ewa Kijak, Richard Kulpa, Simon Malinowski, and Franck Multon
Physics-based Motion Retargeting from Sparse Inputs
Daniele Reda, Jungdam Won, Yuting Ye, Michiel van de Panne, and Alexander Winkler
Too Stiff, Too Strong, Too Smart: Evaluating Fundamental Problems with Motion Control Policies
Kaixiang Xie, Pei Xu, Sheldon Andrews, Victor B. Zordan, and Paul G. Kry
Character Synthesis
ACT2G: Attention-based Contrastive Learning for Text-to-Gesture Generation
Hitoshi Teshima, Naoki Wake, Diego Thomas, Yuta Nakashima, Hiroshi Kawasaki, and Katsushi Ikeuchi
HDHumans: A Hybrid Approach for High-fidelity Digital Humans
Marc Habermann, Lingjie Liu, Weipeng Xu, Gerard Pons-Moll, Michael Zollhoefer, and Christian Theobalt
Motion In-Betweening with Phase Manifolds
Paul Starke, Sebastian Starke, Taku Komura, and Frank Steinicke
NeuroDog: Quadruped Embodiment using Neural Networks
Dónal Egan, Darren Cosker, and Rachel McDonnell
Deformation and Physics I
Adaptive Rigidification of Discrete Shells
Alexandre Mercier-Aubin and Paul G. Kry
An Eigenanalysis of Angle-Based Deformation Energies
Haomiao Wu and Theodore Kim
A Unified Analysis of Penalty-Based Collision Energies
Alvin Shi and Theodore Kim
Lifted Curls: A Model for Tightly Coiled Hair Simulation
Alvin Shi, Haomiao Wu, Jarred Parr, A.M. Darke, and Theodore Kim
Towards Realtime: A Hybrid Physics-based Method for Hair Animation on GPU
Li Huang, Fan Yang, Chendi Wie, Yu Ju (Edwin) Chen, Chun Yuan, and Ming Gao
Deformation and Physics II
A Linear and Angular Momentum Conserving Hybrid Particle/Grid Iteration for Volumetric Elastic Contact
Alan Marquez Razon, Yizhou Chen, Han Yushan, Steven Gagniere, Michael Tupek, and Joseph Teran
Physical Cyclic Animations
Shiyang Jia, Stephanie Wang, Tzu-Mao Li, and Albert Chern
Micropolar Elasticity in Physically-Based Animation
Fabian Löschner, José Antonio Fernández-Fernández, Stefan Rhys Jeske, Andreas Longva, and Jan Bender
Two-Way Coupling of Skinning Transformations and Position Based Dynamics
Yuhan Wu and Nobuyuki Umetani
Fluids and Points
A comparison of linear consistent correction methods for first-order SPH derivatives
Lukas Westhofen, Stefan Jeske, and Jan Bender
A Generalized Constitutive Model for Versatile MPM Simulation and Inverse Learning with Differentiable Physics
Haozhe Su, Xuan Li, Tao Xue, Chenfanfu Jiang, and Mridul Aanjaneya
A Multilevel Active-Set Preconditioner for Box-Constrained Pressure Poisson Solvers
Tetsuya Takahashi and Christopher Batty
DiffXPBD : Differentiable Position-Based Simulation of Compliant Constraint Dynamics
Tuur Stuyck and Hsiao-Yu Chen

Recent Submissions

  • DiffXPBD : Differentiable Position-Based Simulation of Compliant Constraint Dynamics 

    Stuyck, Tuur; Chen, Hsiao-Yu (ACM Association for Computing Machinery, 2023)
    We present DiffXPBD, a novel and efficient analytical formulation for the differentiable position-based simulation of compliant constrained dynamics (XPBD). Our proposed method allows computation of gradients of numerous ...
  • A Multilevel Active-Set Preconditioner for Box-Constrained Pressure Poisson Solvers 

    Takahashi, Tetsuya; Batty, Christopher (ACM Association for Computing Machinery, 2023)
    Efficiently solving large-scale box-constrained convex quadratic programs (QPs) is an important computational challenge in physical simulation.We propose a new multilevel preconditioning scheme based on the active-set ...
  • A Generalized Constitutive Model for Versatile MPM Simulation and Inverse Learning with Differentiable Physics 

    Su, Haozhe; Li, Xuan; Xue, Tao; Jiang, Chenfanfu; Aanjaneya, Mridul (ACM Association for Computing Machinery, 2023)
    We present a generalized constitutive model for versatile physics simulation of inviscid fluids, Newtonian viscosity, hyperelasticity, viscoplasticity, elastoplasticity, and other physical effects that arise due to a mixture ...
  • A comparison of linear consistent correction methods for first-order SPH derivatives 

    Westhofen, Lukas; Jeske, Stefan; Bender, Jan (ACM Association for Computing Machinery, 2023)
    Awell-known issue with the widely used Smoothed Particle Hydrodynamics (SPH) method is the neighborhood deficiency. Near the surface, the SPH interpolant fails to accurately capture the underlying fields due to a lack of ...
  • Two-Way Coupling of Skinning Transformations and Position Based Dynamics 

    Wu, Yuhan; Umetani, Nobuyuki (ACM Association for Computing Machinery, 2023)
    Skinning transformations enable digital characters to be animated with minimal user input. Physics simulations can improve the detailed dynamic movement of an animated character; however, such details are typically added ...
  • Micropolar Elasticity in Physically-Based Animation 

    Löschner, Fabian; Fernández-Fernández, José Antonio; Jeske, Stefan Rhys; Longva, Andreas; Bender, Jan (ACM Association for Computing Machinery, 2023)
    We explore micropolar materials for the simulation of volumetric deformable solids. In graphics, micropolar models have only been used in the form of one-dimensional Cosserat rods, where a rotating frame is attached to ...
  • Physical Cyclic Animations 

    Jia, Shiyang; Wang, Stephanie; Li, Tzu-Mao; Chern, Albert (ACM Association for Computing Machinery, 2023)
    We address the problem of synthesizing physical animations that can loop seamlessly. We formulate a variational approach by deriving a physical law in a periodic time domain. The trajectory of the animation is represented ...
  • A Linear and Angular Momentum Conserving Hybrid Particle/Grid Iteration for Volumetric Elastic Contact 

    Razon, Alan Marquez; Chen, Yizhou; Yushan, Han; Gagniere, Steven; Tupek, Michael; Teran, Joseph (ACM Association for Computing Machinery, 2023)
    We present a momentum conserving hybrid particle/grid iteration for resolving volumetric elastic collision. Our hybrid method uses implicit time stepping with a Lagrangian finite element discretization of the volumetric ...
  • Towards Realtime: A Hybrid Physics-based Method for Hair Animation on GPU 

    Huang, Li; Yang, Fan; Wie, Chendi; Chen, Yu Ju (Edwin); Yuan, Chun; Gao, Ming (ACM Association for Computing Machinery, 2023)
    This paper introduces a hair simulator optimized for real-time applications, including console and cloud gaming, avatar live-streaming, and metaverse environments. We view the collisions between strands as a mechanism to ...
  • Lifted Curls: A Model for Tightly Coiled Hair Simulation 

    Shi, Alvin; Wu, Haomiao; Parr, Jarred; Darke, A.M.; Kim, Theodore (ACM Association for Computing Machinery, 2023)
    We present an isotropic, hyperelastic model specifically designed for the efficient simulation of tightly coiled hairs whose curl radii approach 5 mm. Our model is robust to large bends and torsions, even when they appear ...
  • A Unified Analysis of Penalty-Based Collision Energies 

    Shi, Alvin; Kim, Theodore (ACM Association for Computing Machinery, 2023)
    We analyze a wide class of penalty energies used for contact response through the lens of a reduced frame. Applying our analysis to both spring-based and barrier-based energies, we show that we can obtain closedform, ...
  • An Eigenanalysis of Angle-Based Deformation Energies 

    Wu, Haomiao; Kim, Theodore (ACM Association for Computing Machinery, 2023)
    Angle-based energies appear in numerous physics-based simulation models, including thin-shell bending and isotropic elastic strands. We present a generic analysis of these energies that allows us to analytically filter the ...
  • Adaptive Rigidification of Discrete Shells 

    Mercier-Aubin, Alexandre; Kry, Paul G. (ACM Association for Computing Machinery, 2023)
    We present a method to improve the computation time of thin shell simulations by using adaptive rigidification to reduce the number of degrees of freedom. Our method uses a discretization independent metric for bending ...
  • NeuroDog: Quadruped Embodiment using Neural Networks 

    Egan, Dónal; Cosker, Darren; McDonnell, Rachel (ACM Association for Computing Machinery, 2023)
    Virtual reality (VR) allows us to immerse ourselves in alternative worlds in which we can embody avatars to take on new identities. Usually, these avatars are humanoid or possess very strong anthropomorphic qualities. ...
  • Motion In-Betweening with Phase Manifolds 

    Starke, Paul; Starke, Sebastian; Komura, Taku; Steinicke, Frank (ACM Association for Computing Machinery, 2023)
    This paper introduces a novel data-driven motion in-betweening system to reach target poses of characters by making use of phases variables learned by a Periodic Autoencoder. Our approach utilizes a mixture-of-experts ...
  • HDHumans: A Hybrid Approach for High-fidelity Digital Humans 

    Habermann, Marc; Liu, Lingjie; Xu, Weipeng; Pons-Moll, Gerard; Zollhoefer, Michael; Theobalt, Christian (ACM Association for Computing Machinery, 2023)
    Photo-real digital human avatars are of enormous importance in graphics, as they enable immersive communication over the globe, improve gaming and entertainment experiences, and can be particularly beneficial for AR and ...
  • Too Stiff, Too Strong, Too Smart: Evaluating Fundamental Problems with Motion Control Policies 

    Xie, Kaixiang; Xu, Pei; Andrews, Sheldon; Zordan, Victor B.; Kry, Paul G. (ACM Association for Computing Machinery, 2023)
    Deep reinforcement learning (DRL) methods have demonstrated impressive results for skilled motion synthesis of physically based characters, and while these methods perform well in terms of tracking reference motions or ...
  • ACT2G: Attention-based Contrastive Learning for Text-to-Gesture Generation 

    Teshima, Hitoshi; Wake, Naoki; Thomas, Diego; Nakashima, Yuta; Kawasaki, Hiroshi; Ikeuchi, Katsushi (ACM Association for Computing Machinery, 2023)
    Recent increase of remote-work, online meeting and tele-operation task makes people find that gesture for avatars and communication robots is more important than we have thought. It is one of the key factors to achieve ...
  • Physics-based Motion Retargeting from Sparse Inputs 

    Reda, Daniele; Won, Jungdam; Ye, Yuting; Panne, Michiel van de; Winkler, Alexander (ACM Association for Computing Machinery, 2023)
    Avatars are important to create interactive and immersive experiences in virtual worlds. One challenge in animating these characters to mimic a user’s motion is that commercial AR/VR products consist only of a headset and ...
  • MAAIP: Multi-Agent Adversarial Interaction Priors for imitation from fighting demonstrations for physics-based characters 

    Younes, Mohamed; Kijak, Ewa; Kulpa, Richard; Malinowski, Simon; Multon, Franck (ACM Association for Computing Machinery, 2023)
    Simulating realistic interaction and motions for physics-based characters is of great interest for interactive applications, and automatic secondary character animation in the movie and video game industries. Recent works ...

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