Pre-recorded Sessions: From 4 December 2020 | Live Sessions: 10 – 13 December 2020
4 – 13 December 2020
Q&A for Detailed 3D Face Reconstruction from Single Images Via Self-supervised Attribute Learning
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Q&A for Detailed 3D Face Reconstruction from Single Images Via Self-supervised Attribute Learning
Author(s)/Presenter(s):
Mingxin Yang, School of Artificial Intelligence, University of Chinese Academy of Sciences; National Laboratory of Pattern Recognition (NLPR), Chinese Academy of Sciences, China
Jianwei Guo, National Laboratory of Pattern Recognition (NLPR), Chinese Academy of Sciences; School of Artificial Intelligence, University of Chinese Academy of Sciences, China
Juntao Ye, National Laboratory of Pattern Recognition (NLPR), Chinese Academy of Sciences, China
Xiaopeng Zhang, National Laboratory of Pattern Recognition (NLPR), Chinese Academy of Sciences, China
Abstract: We present a novel approach to reconstruct high-fidelity 3D face model from a single RGB image. We propose a expression related details recovery scheme and a facial attribute representation.