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CVPR2020顶会

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

2020年份
96顶会引用

摘要

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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