Now showing items 1-4 of 4

    • Blending of Hyperbolic Closed Curves 

      Ikemakhen, Aziz; Ahanchaou, Taoufik (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      In recent years, game developers are interested in developing games in the hyperbolic space. Shape blending is one of the fundamental techniques to produce animation and videos games. This paper presents two algorithms for ...
    • Deep Learning-Based Unsupervised Human Facial Retargeting 

      Kim, Seonghyeon; Jung, Sunjin; Seo, Kwanggyoon; Ribera, Roger Blanco i; Noh, Junyong (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Traditional approaches to retarget existing facial blendshape animations to other characters rely heavily on manually paired data including corresponding anchors, expressions, or semantic parametrizations to preserve the ...
    • Learning and Exploring Motor Skills with Spacetime Bounds 

      Ma, Li-Ke; Yang, Zeshi; Tong, Xin; Guo, Baining; Yin, KangKang (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Equipping characters with diverse motor skills is the current bottleneck of physics-based character animation. We propose a Deep Reinforcement Learning (DRL) framework that enables physics-based characters to learn and ...
    • MultiResGNet: Approximating Nonlinear Deformation via Multi-Resolution Graphs 

      Li, Tianxing; Shi, Rui; Kanai, Takashi (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      This paper presents a graph-learning-based, powerfully generalized method for automatically generating nonlinear deformation for characters with an arbitrary number of vertices. Large-scale character datasets with a ...