Now showing items 1-5 of 5

    • Neural Motion Compression with Frequency-adaptive Fourier Feature Network 

      Tojo, Kenji; Chen, Yifei; Umetani, Nobuyuki (The Eurographics Association, 2022)
      We present a neural-network-based compression method to alleviate the storage cost of motion capture data. Human motions such as locomotion, often consist of periodic movements. We leverage this periodicity by applying ...
    • Safeguarding our Dance Cultural Heritage 

      Aristidou, Andreas; Chalmers, Alan; Chrysanthou, Yiorgos; Loscos, Celine; Multon, Franck; Parkins, J. E.; Sarupuri, Bhuvan; Stavrakis, Efstathios (The Eurographics Association, 2022)
      Folk dancing is a key aspect of intangible cultural heritage that often reflects the socio-cultural and political influences prevailing in different periods and nations; each dance produces a meaning, a story with the help ...
    • Splash in a Flash: Sharpness-aware Minimization for Efficient Liquid Splash Simulation 

      Jetly, Vishrut; Ibayashi, Hikaru; Nakano, Aiichiro (The Eurographics Association, 2022)
      We present sharpness-aware minimization (SAM) for fluid dynamics which can efficiently learn the plausible dynamics of liquid splashes. Due to its ability to achieve robust and generalizing solutions, SAM efficiently ...
    • Stroke based Painterly Inbetweening 

      Barroso, Nicolas; Fondevilla, Amélie; Vanderhaeghe, David (The Eurographics Association, 2022)
      Creating a 2D animation with visible strokes is a tedious and time consuming task for an artist. Computer aided animation usually focus on cartoon stylized rendering, or is built from an automatic process as 3D animations ...
    • A Survey on Reinforcement Learning Methods in Character Animation 

      Kwiatkowski, Ariel; Alvarado, Eduardo; Kalogeiton, Vicky; Liu, C. Karen; Pettré, Julien; Panne, Michiel van de; Cani, Marie-Paule (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Reinforcement Learning is an area of Machine Learning focused on how agents can be trained to make sequential decisions, and achieve a particular goal within an arbitrary environment. While learning, they repeatedly take ...