Now showing items 1-2 of 2

    • Fully Controllable Data Generation For Realtime Face Capture 

      Chandran, Prashanth (ETH Zurich, 2023-01-31)
      Data driven realtime face capture has gained considerable momentum in the last few years thanks to deep neural networks that leverage specialized datasets to speedup the acquisition of face geometry and appearance. However ...
    • Neural Networks for Digital Materials and Radiance Encoding 

      Rodriguez-Pardo, Carlos (2023-07)
      Realistic virtual scenes are becoming increasingly prevalent in our society, with a wide range of applications in areas such as manufacturing, architecture, fashion design, and entertainment, including movies, video games, ...