EmoTalk: Speech-Driven Emotional Disentanglement for 3D Face Animation
Author:
Affiliation:
1. Renmin University of China
2. Nanjing University of Science and Technology
3. The Hong Kong University of Science and Technology
4. Chinese Academy of Sciences
5. Tsinghua University
Funder
Research and Development
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377273.pdf?arnumber=10377273
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1. wav2vec 2.0: A framework for self-supervised learning of speech representations;Baevski;Advances in neural information processing systems,2020
2. A narrative literature review of games, animations and simulations to teach research methods and statistics
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4. Disentangling audio content and emotion with adaptive instance normalization for expressive facial animation synthesis
5. Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss
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