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CVPR2020Top-tier venue

FaceScape: A Large-Scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction

Haotian Yang, Hao Zhu, Yanru Wang, Mingkai Huang, Qiu Shen, Ruigang Yang, Xun Cao

2020Year
96Top-tier citations

Abstract

FaceScape dataset -18,760 topologically uniformed detailed 3D faces detailed riggable face prediction 938 identities source image rigged faces predicted face Figure 1: We present FaceScape, a large-scale detailed 3D face dataset consisting of 18,760 textured 3D face models 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.

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