Vector-based Generation

Vector-Based Generation is a generative method in computational design and digital art that synthesizes outputs using parametric, mathematically-defined vector representations—rather than raster or pixel-based structures—to enable resolution-independent, editable, and geometrically precise visual forms.

75

Publications

2.9K

Citations

237

Authors

94

Institutions

Publications per year

2017–2026

29

Authors

237

  1. KC
    Kwang‐Ting Cheng

    University of California, Santa Barbara, United States

    5 publications · 268 citations

    5

    h-index

  2. AK
    A. Krstić

    University of California, Santa Barbara, United States

    3 publications · 169 citations

    3

    h-index

  3. KA
    Ken Albin

    Motorola (United States), United States

    3 publications · 94 citations

    3

    h-index

  4. CP
    Carl Pixley

    Motorola (United States), United States

    3 publications · 94 citations

    3

    h-index

  5. MG
    Michaël Gharbi

    Adobe Systems (United States), United States

    3 publications · 121 citations

    3

    h-index

1–5 of 237

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 54 citations

    4

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 61 citations

    2

    h-index

  3. ACM Transactions on Graphics

    TOG · 4 publications · 95 citations

    2

    h-index

  4. 2

    h-index

  5. IEEE Transactions on Computers

    1 publications · 251 citations

    1

    h-index

1–5