Stochastic Graphics

Stochastic Graphics is a generative visual method that introduces controlled randomness into the synthesis process to produce probabilistically varied outputs, distinguishing it from deterministic graphics techniques within the domain of computer-generated imagery.

12

Publications

4.2K

Citations

23

Authors

17

Institutions

Publications per year

2017–2026

0

Authors

23

  1. DF
    Don Fussell

    The University of Texas at Austin, United States

    2 publications · 839 citations

    2

    h-index

  2. RB
    Ricki Blau

    University of California, Berkeley, United States

    2 publications · 478 citations

    2

    h-index

  3. KP
    Ken Perlin

    New York University, United States

    2 publications · 2.5K citations

    2

    h-index

  4. AF
    Alain Fournier

    Institut National de la Recherche Scientifique, Canada

    2 publications · 839 citations

    2

    h-index

  5. WT
    William T. Reeves

    University of California, Berkeley, United States

    2 publications · 478 citations

    2

    h-index

1–5 of 23

Venues

  1. ACM SIGGRAPH Computer Graphics

    2 publications · 2.4K citations

    2

    h-index

  2. ACM Transactions on Graphics

    TOG · 2 publications · 260 citations

    2

    h-index

  3. Communications of the ACM

    1 publications · 818 citations

    1

    h-index

  4. Computer Graphics Forum

    1 publications · 29 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 10 citations

1–5