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Beyond 3DMM Space: Towards Fine-grained 3D Face Reconstruction

Beyond 3DMM Space: Towards Fine-grained 3D Face Reconstruction

Xiangyu Zhu, Fan Yang, Di Huang, Chang Yu, Hao Wang, Jianzhu Guo, Zhen Lei, Stan Z. Li

ECCV 2020

paper / code /

This paper constructs a new dataset Fine-Grained 3D face (FG3D) with 200k samples for training, and proposes a Fine-Grained reconstruction Network (FGNet) concentrating on shape modi cation by warping the network input and output to the UV space. FG3D is available at https://github.com/XiangyuZhu-open/Beyond3DMM.