Constraint-based Image Synthesis

Constraint-Based Image Synthesis is a procedural image generation method that employs explicitly defined constraints—such as geometric, semantic, or stylistic rules—to guide and restrict the image creation process, distinguishing it from other synthesis approaches by its reliance on user- or system-imposed conditions to ensure compliance with specified criteria.

9

Publications

677

Citations

28

Authors

18

Institutions

Publications per year

2017–2026

1

Authors

28

  1. GL
    Gang Liu

    Xidian University, China

    2 publications · 54 citations

    2

    h-index

  2. GX
    Gui-Song Xia

    Wuhan University, China

    2 publications · 54 citations

    2

    h-index

  3. YG
    Yann Gousseau

    Télécom Paris, France

    2 publications · 54 citations

    2

    h-index

  4. SK
    Sanjiv Kumar

    Google (United States), United States

    1 publications · 102 citations

    1

    h-index

  5. VK
    Vladimir Kolmogorov

    Microsoft Research (United Kingdom), United Kingdom

    1 publications · 102 citations

    1

    h-index

1–5 of 28

Venues

  1. IEEE Intelligent Systems

    1 publications · 10 citations

    1

    h-index

  2. The HKU Scholars Hub (University of Hong Kong)

    Repository · 1 publications · 131 citations

    1

    h-index

  3. Journal of Real-Time Image Processing

    1 publications · 13 citations

    1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 25 citations

    1

    h-index

  5. Computer Graphics Forum

    1 publications · 59 citations

    1

    h-index

1–5