Generative Dance Systems
Generative Dance Systems is a computational framework that systematically synthesizes choreographic movement sequences through algorithmic processes governed by rule-based or learning-based models, distinguishing it from manually composed or improvised dance by its autonomous generation of novel, structured dance content.
14
Publications
580
Citations
55
Authors
24
Institutions
Publications per year
2017–2026
10
Parents
14
Learning to Generate Diverse Dance Motions with Transformer
Jiaman Li, Yihang Yin, Hang Chu et al. · arXiv (Cornell University) · 2020 · 74 citations · Full text
Arts, Performing Arts, Choreography +12
Kang Chen, Zhipeng Tan, Lei Jin et al. · ACM Transactions on Graphics · 2021 · 70 citations
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Nanyang Technological University
Singapore, Singapore
2 h-index
6 publications
606 citations
The University of Osaka
Osaka, Japan
2 h-index
2 publications
59 citations

Hansung University
Seoul, South Korea
1 h-index
1 publications
47 citations
NetEase (China)
Beijing, China
1 h-index
4 publications
280 citations
Institute for High Performance Computing and Networking
Rende, Italy
1 h-index
5 publications
85 citations
University of California, Santa Barbara
Santa Barbara, United States
1 h-index
2 publications
52 citations

Goldsmiths University of London
London, United Kingdom
1 h-index
1 publications
18 citations

Toyo University
Tokyo, Japan
1 h-index
1 publications
10 citations
1–8 of 24
Repository · 2 publications · 92 citations
2
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Conference · 2 publications · 223 citations
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TOG · 1 publications · 70 citations
1
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TPAMI · 1 publications · 26 citations
1
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1 publications · 21 citations
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