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

Authors

55

  1. SL
    Siyao Li

    Liaoning Normal University, China

    3 publications · 220 citations

    3

    h-index

  2. ZL
    Ziwei Liu

    Nanyang Technological University, Singapore

    3 publications · 220 citations

    3

    h-index

  3. TG
    Tianpei Gu

    Nanyang Technological University, Singapore

    3 publications · 220 citations

    3

    h-index

  4. CC
    Chen Change Loy

    Nanyang Technological University, Singapore

    3 publications · 220 citations

    3

    h-index

  5. CL
    Chunze Lin

    Tsinghua University, China

    2 publications · 194 citations

    2

    h-index

1–5 of 55

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 92 citations

    2

    h-index

  2. 2

    h-index

  3. ACM Transactions on Graphics

    TOG · 1 publications · 70 citations

    1

    h-index

  4. 1

    h-index

  5. IEEE Access

    1 publications · 21 citations

    1

    h-index

1–5