Now showing items 1-4 of 4

    • A functional skeleton transfer 

      Musoni, Pietro; Marin, Riccardo; Melzi, Simone; Castellani, Umberto (ACM, 2021)
      The animation community has spent significant effort trying to ease rigging procedures. This is necessitated because the increasing availability of 3D data makes manual rigging infeasible. However, object animations involve ...
    • A GAN-Like Approach for Physics-Based Imitation Learning and Interactive Control 

      Xu, Pei; Karamouzas, Ioannis (ACM, 2021)
      We present a simple and intuitive approach for interactive control of physically simulated characters. Our work builds upon generative adversarial networks (GAN) and reinforcement learning, and introduces an imitation ...
    • Global Position Prediction for Interactive Motion Capture 

      Schreiner, Paul; Perepichka, Maksym; Lewis, Hayden; Darkner, Sune; Kry, Paul G.; Erleben, Kenny; Zordan, Victor B. (ACM, 2021)
      We present a method for reconstructing the global position of motion capture where position sensing is poor or unavailable. Capture systems, such as IMU suits, can provide excellent pose and orientation data of a capture ...
    • Recovering Geometric Information with Learned Texture Perturbations 

      Wu, Jane; Jin, Yongxu; Geng, Zhenglin; Zhou, Hui; Fedkiw, Ronald (ACM, 2021)
      Regularization is used to avoid overfitting when training a neural network; unfortunately, this reduces the attainable level of detail hindering the ability to capture high-frequency information present in the training ...