Noise-based Texture Synthesis

Noise-Based Texture Synthesis is a procedural image generation method that synthesizes textures by modulating and filtering stochastic noise functions to achieve controlled visual coherence and naturalistic appearance.

20

Publications

1.4K

Citations

44

Authors

26

Institutions

Publications per year

2017–2026

4

Authors

44

  1. JJ
    Jarke J. van Wijk

    Eindhoven University of Technology, Netherlands

    4 publications · 658 citations

    4

    h-index

  2. GD
    George Drettakis

    Institut national de recherche en sciences et technologies du numérique, France

    2 publications · 165 citations

    2

    h-index

  3. AL
    Ares Lagae

    KU Leuven, Belgium

    2 publications · 165 citations

    2

    h-index

  4. SL
    Sylvain Lefèbvre

    Institut national de recherche en sciences et technologies du numérique, France

    2 publications · 165 citations

    2

    h-index

  5. LW
    Li‐Yi Wei

    Adobe Systems (United States), United States

    2 publications · 79 citations

    2

    h-index

1–5 of 44

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 205 citations

    4

    h-index

  2. Computer Graphics Forum

    2 publications · 41 citations

    2

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  3. IEEE Visualization

    Conference · 2 publications · 102 citations

    2

    h-index

  4. ACM Transactions on Graphics

    TOG · 1 publications · 126 citations

    1

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  5. 1

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1–5