Virtual Face Animation Generation Based on Conditional Generative Adversarial Networks-Reference-Cited by-同舟云学术

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Virtual Face Animation Generation Based on Conditional Generative Adversarial Networks

Published:2022-10-28 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)
language:
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Author:

Zeng Jia¹,He Xiangzhen¹,Li Shuaishuai¹,Wu Lindong¹,Wang Jiaxin¹

Affiliation:

1. Northwest Minzu University Key Laboratory of China's Ethnic Languages and Intelligent Processing of Gansu Province, Northwest Minzu University,Key Laboratory of China’s Ethnic Languages and Information Technology of Ministry of Education,Lanzhou,Gansu,China,730000

Funder

Northwest University

Fundamental Research Funds for the Central Universities

Experiment

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10009640/10009646/10009693.pdf?arnumber=10009693

Reference9 articles.

1. Flow-guided One-shot Talking Face Generation with a High-resolution Audio-visual Dataset

2. Geometry Guided Adversarial Facial Expression Synthesis

3. Attention-Based Lip Audio-Visual Synthesis for Talking Face Generation in the Wild[J];wang;ArXiv e-prints,2022

4. StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation

5. Infogan: interpretable representation learning by information maximizing generative adversarial nets[C];chen;Advances in neural information processing systems,2016

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