GTN-Bailando: Genre Consistent long-Term 3D Dance Generation Based on Pre-Trained Genre Token Network-Reference-Cited by-同舟云学术

GTN-Bailando: Genre Consistent long-Term 3D Dance Generation Based on Pre-Trained Genre Token Network

Published:2023-06-04 Issue: Volume: Page:
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Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Zhuang Haolin¹,Lei Shun¹,Xiao Long¹,Li Weiqin¹,Chen Liyang¹,Yang Sicheng¹,Wu Zhiyong¹,Kang Shiyin²,Meng Helen³

Affiliation:

1. Tsinghua University,Shenzhen International Graduate School,Shenzhen,China

2. XVerse Inc,Shenzhen,China

3. The Chinese University of Hong Kong,Hong Kong SAR,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

Reference28 articles.

2. Example-based automatic music-driven conventional dance motion synthesis;fan;IEEE Transactions on Visualization and Computer Graphics,2011

4. Dancing to music;lee;Advances in neural information processing systems,2019

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