Representations for Modeling Human Bodies
Speaker: Zeng Huang Abstract: Studying human bodies of ourselves has been a long carried out topic throughout human history. Since the Information Age, digitizing human bodies has always been a major focus in computer graphics and animation. Though high quality human scans and visual effects have already been used widely in the film industry, lowcost and accessible human digitization for everyone still remains a challenge. As people gradually adopted deep learning in this field, there has been some recent exciting work and really pushed the boundary of this task. In this talk, we will introduce research efforts in recent years taht digitizes full body clothed humans. Especially, we will go over the recent attempts of representing the body geometry using implicit functions, and its combination with animation pipelines and realtime implementations. Papers: 1. Endtoend Recovery of Human Shape and Pose, CVPR 2018 2. VIBE: Video Inference for Human B
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