Now showing items 1-20 of 22

    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • Hierarchical Planning and Control for Box Loco-Manipulation 

      Xie, Zhaoming; Tseng, Jonathan; Starke, Sebastian; Panne, Michiel van de; Liu, C. Karen (ACM Association for Computing Machinery, 2023)
      Humans perform everyday tasks using a combination of locomotion and manipulation skills. Building a system that can handle both skills is essential to creating virtual humans. We present a physically-simulated human capable ...
    • 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 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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. ...
    • 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 ...
    • 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 ...
    • Proceedings Information 

      Wang, Huamin; Ye, Yuting; Victor Zordan (ACM, 2023)
    • 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 ...
    • 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 ...