We present FaceScape, a large-scale detailed 3D face dataset consisting of 18,760 textured 3D face model with pore-level geometry. By learning dynamic details from FaceScape, We present a novel algorithm to predict from a single image a detailed rigged 3D face model that can generate various expressions with high geometric details.
CVPR 2020 Paper    Code & Dataset