Algorithmic Image Synthesis

Algorithmic Image Synthesis is a computational method within digital hybrid art that generates visual imagery through the systematic application of algorithmic rules and procedural logic, distinguishing itself from manual or purely analog image creation by its reliance on formalized, often autonomous, computational processes.

71

Publications

9.5K

Citations

308

Authors

144

Institutions

Publications per year

2017–2026

37

Authors

308

  1. JJ
    Jiaya Jia

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 327 citations

    3

    h-index

  2. JS
    Jiaming Song

    Stanford University, United States

    3 publications · 434 citations

    3

    h-index

  3. DH
    Dong Huk Park

    University of California, Berkeley, United States

    2 publications · 206 citations

    2

    h-index

  4. PF
    Pavol Federl

    University of Calgary, Canada

    2 publications · 508 citations

    2

    h-index

  5. BL
    Brendan Lane

    University of Calgary, Canada

    2 publications · 508 citations

    2

    h-index

1–5 of 308

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 832 citations

    8

    h-index

  2. ACM Transactions on Graphics

    TOG · 4 publications · 1.2K citations

    4

    h-index

  3. Medical Image Analysis

    3 publications · 149 citations

    3

    h-index

  4. 2

    h-index

  5. IEEE Access

    2 publications · 39 citations

    2

    h-index

1–5