Now showing items 1-5 of 5

    • Distant Collision Response in Rigid Body Simulations 

      Coevoet, Eulalie; Andrews, Sheldon; Relles, Denali; Kry, Paul G. (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      We use a finite element model to predict the vibration response of objects in a rigid body simulation, such that rigid objects are augmented to provide a plausible elastic collision response between distant objects due to ...
    • Fully Convolutional Graph Neural Networks for Parametric Virtual Try-On 

      Vidaurre, Raquel; Santesteban, Igor; Garces, Elena; Casas, Dan (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      We present a learning-based approach for virtual try-on applications based on a fully convolutional graph neural network. In contrast to existing data-driven models, which are trained for a specific garment or mesh topology, ...
    • Linear Time Stable PD Controllers for Physics-based Character Animation 

      Yin, Zhiqi; Yin, KangKang (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      In physics-based character animation, Proportional-Derivative (PD) controllers are commonly used for tracking reference motions in motor control tasks. Stable PD (SPD) controllers significantly improve the numerical stability ...
    • A Pixel-Based Framework for Data-Driven Clothing 

      Jin, Ning; Zhu, Yilin; Geng, Zhenglin; Fedkiw, Ron (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      We propose a novel approach to learning cloth deformation as a function of body pose, recasting the graph-like triangle mesh data structure into image-based data in order to leverage popular and well-developed convolutional ...
    • Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model 

      Ghorbani, Saeed; Wloka, Calden; Etemad, Ali; Brubaker, Marcus A.; Troje, Nikolaus F. (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      We present a probabilistic framework to generate character animations based on weak control signals, such that the synthesized motions are realistic while retaining the stochastic nature of human movement. The proposed ...