Pre-recorded Sessions: From 4 December 2020 | Live Sessions: 10 – 13 December 2020
4 – 13 December 2020
Detailed 3D Face Reconstruction from Single Images Via Self-supervised Attribute Learning
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Date/Time: 04 – 13 December 2020
All presentations are available in the virtual platform on-demand.
All presentations are available in the virtual platform on-demand.
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.
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