Landmark Guided 4D Facial Expression Generation

Author:

Lu Xin1ORCID,Lu Zhengda1ORCID,Wang Yiqun2ORCID,Xiao Jun1ORCID

Affiliation:

1. University of Chinese Academy of Sciences, China

2. Chongqing University, China

Funder

the Natural Science Foundation of Chongqing (CSTB2022NSCQ-MSX0924)

the Fundamental Research Funds for the Central Universities

Publisher

ACM

Reference4 articles.

1. Ganimator: Neural motion synthesis from a single sequence;Li Peizhuo;ACM Transactions on Graphics (TOG),2022

2. Sparse to Dense Dynamic 3D Facial Expression Generation

3. Rolandos Alexandros Potamias , Jiali Zheng , Stylianos Ploumpis , Giorgos Bouritsas , Evangelos Ververas , and Stefanos Zafeiriou . 2020 . Learning to generate customized dynamic 3D facial expressions. In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020 , Proceedings, Part XXIX 16 . Springer, 278–294. Rolandos Alexandros Potamias, Jiali Zheng, Stylianos Ploumpis, Giorgos Bouritsas, Evangelos Ververas, and Stefanos Zafeiriou. 2020. Learning to generate customized dynamic 3D facial expressions. In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXIX 16. Springer, 278–294.

4. Generating 3D Faces Using Convolutional Mesh Autoencoders

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