Generative Drawing

Generative Drawing is an algorithmic art practice within generative art wherein visual forms are produced through autonomous systems guided by rule-based processes, stochastic methods, or computational logic, distinguishing it from manual drawing by its reliance on procedural generation rather than direct human mark-making.

31

Publications

2.1K

Citations

102

Authors

48

Institutions

Publications per year

2017–2026

16

Authors

102

  1. DL
    Detlev Leutner

    University of Duisburg-Essen, Germany

    3 publications · 340 citations

    3

    h-index

  2. RE
    Richard E. Mayer

    University of California, Santa Barbara, United States

    3 publications · 340 citations

    3

    h-index

  3. PZ
    Peng Zhao

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 172 citations

    2

    h-index

  4. YS
    Yi-Zhe Song

    University of Surrey, United Kingdom

    2 publications · 40 citations

    2

    h-index

  5. HI
    Hiroshi Ishii

    Massachusetts Institute of Technology, United States

    2 publications · 117 citations

    2

    h-index

1–5 of 102

Venues

  1. Computer Graphics Forum

    2 publications · 123 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 561 citations

    2

    h-index

  3. ACM Transactions on Graphics

    TOG · 2 publications · 195 citations

    2

    h-index

  4. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 69 citations

    2

    h-index

  5. Designing Interactive Systems Conference

    Conference · 1 publications · 16 citations

    1

    h-index

1–5