Geometric Pattern Generation

Geometric Pattern Generation is a generative visual system that produces structured arrangements of geometric shapes and forms through algorithmic or mathematical rules, distinguished by its reliance on spatial regularity, symmetry, and repetition to create visually coherent patterns.

74

Publications

2.9K

Citations

172

Authors

96

Institutions

Publications per year

2017–2026

11

Authors

172

  1. MY
    Masafumi Yamashita

    Kyushu University, Japan

    4 publications · 382 citations

    4

    h-index

  2. DD
    Douglas Dunham

    University of Wisconsin–Milwaukee, United States

    3 publications · 61 citations

    3

    h-index

  3. CS
    Craig S. Kaplan

    University of Waterloo, Canada

    3 publications · 204 citations

    3

    h-index

  4. HJ
    H. J. Woods

    University of Leeds, United Kingdom

    3 publications · 85 citations

    3

    h-index

  5. AV
    Andrey V. Savkin

    UNSW Sydney, Australia

    2 publications · 21 citations

    2

    h-index

1–5 of 172

Venues

  1. IEEE Computer Graphics and Applications

    3 publications · 47 citations

    3

    h-index

  2. ACM Transactions on Graphics

    TOG · 3 publications · 162 citations

    3

    h-index

  3. Journal of the Textile Institute Transactions

    3 publications · 85 citations

    3

    h-index

  4. Computer Vision Graphics and Image Processing

    2 publications · 85 citations

    2

    h-index

  5. Leonardo

    2 publications · 81 citations

    2

    h-index

1–5