Generative Visual Systems

Generative Visual Systems is a computational art methodology that uses algorithmic processes to autonomously produce dynamic visual forms, distinguished by its reliance on rule-based systems and non-deterministic outcomes within creative coding practices.

103

Publications

6.7K

Citations

424

Authors

148

Institutions

Publications per year

2017–2026

82

Authors

424

  1. WJ
    Wentao Jiang

    Beihang University, China

    3 publications · 222 citations

    3

    h-index

  2. SL
    Si Liu

    Beihang University, China

    3 publications · 222 citations

    3

    h-index

  3. JF
    Jiashi Feng

    National University of Singapore, Singapore

    3 publications · 222 citations

    3

    h-index

  4. RH
    Ran He

    Institute of Automation, China

    3 publications · 222 citations

    3

    h-index

  5. CG
    Chen Gao

    Beihang University, China

    3 publications · 222 citations

    3

    h-index

1–5 of 424

Venues

  1. arXiv (Cornell University)

    Repository · 19 publications · 1.5K citations

    13

    h-index

  2. ACM Transactions on Graphics

    TOG · 5 publications · 284 citations

    5

    h-index

  3. 3

    h-index

  4. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 97 citations

    3

    h-index

  5. Neural Information Processing Systems

    Conference · 2 publications · 120 citations

    2

    h-index

1–5