PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations

arXiv:2404.04421v1 Announce Type: cross
Abstract: Modeling and rendering photorealistic avatars is of crucial importance in many applications. Existing methods that build a 3D avatar from visual observations, however, struggle to reconstruct clothed humans. We introduce PhysAvatar, a novel framework that combines inverse rendering with inverse physics to automatically estimate the shape and appearance of a human from multi-view video data along with the physical parameters of the fabric of their clothes. For this purpose, we adopt a mesh-aligned 4D Gaussian …

3d avatars arxiv avatars cs.cv cs.gr physics type visual