Identity-Preserving Talking Face Generation with Landmark and Appearance Priors-Reference-Cited by-同舟云学术

Identity-Preserving Talking Face Generation with Landmark and Appearance Priors

Published:2023-06 Issue: Volume: Page:
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Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Zhong Weizhi¹,Fang Chaowei²,Cai Yinqi¹,Wei Pengxu¹,Zhao Gangming³,Lin Liang¹,Li Guanbin¹

Affiliation:

1. Sun Yat-sen University

2. Xidian University

3. The University of Hong Kong

Funder

National Natural Science Foundation of China

Shenzhen Science and Technology Program

Fundamental Research Funds for the Central Universities

Tencent AI Lab Open Research Fund

Publisher

IEEE

Link

Reference46 articles.

3. Gans trained by a two time-scale update rule converge to a local nash equilibrium;heusel;Advances in neural information processing systems,2017

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