Now showing items 1-4 of 4

    • Cloth and Skin Deformation with a Triangle Mesh Based Convolutional Neural Network 

      Chentanez, Nuttapong; Macklin, Miles; Müller, Matthias; Jeschke, Stefan; Kim, Tae-Yong (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      We introduce a triangle mesh based convolutional neural network. The proposed network structure can be used for problems where input and/or output are defined on a manifold triangle mesh with or without boundary. We ...
    • Intuitive Facial Animation Editing Based On A Generative RNN Framework 

      Berson, Eloïse; Soladié, Catherine; Stoiber, Nicolas (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      For the last decades, the concern of producing convincing facial animation has garnered great interest, that has only been accelerating with the recent explosion of 3D content in both entertainment and professional activities. ...
    • Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow 

      Wiewel, Steffen; Kim, Byungsoo; Azevedo, Vinicius; Solenthaler, Barbara; Thuerey, Nils (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      We propose an end-to-end trained neural network architecture to robustly predict the complex dynamics of fluid flows with high temporal stability. We focus on single-phase smoke simulations in 2D and 3D based on the ...
    • 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 ...