Image-based Texture Synthesis

Image-Based Texture Synthesis is a computational method in computer graphics and vision that generates new, visually coherent texture samples by analyzing and extending the statistical and structural properties of an input exemplar image.

61

Publications

7.6K

Citations

177

Authors

103

Institutions

Publications per year

2017–2026

17

Authors

177

  1. CB
    Connelly Barnes

    Adobe Systems (United States), United States

    2 publications · 53 citations

    2

    h-index

  2. ES
    Eli Shechtman

    Adobe Systems (United States), United States

    2 publications · 53 citations

    2

    h-index

  3. VL
    Victor Lempitsky

    Skolkovo Institute of Science and Technology, Russia

    2 publications · 797 citations

    2

    h-index

  4. YS
    Yoshiaki Shirai

    The University of Osaka, Japan

    2 publications · 89 citations

    2

    h-index

  5. DJ
    David J. Heeger

    New York University, United States

    2 publications · 1.3K citations

    2

    h-index

1–5 of 177

Venues

  1. ACM Transactions on Graphics

    TOG · 8 publications · 593 citations

    8

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 5 publications · 183 citations

    5

    h-index

  3. IEEE Transactions on Image Processing

    2 publications · 34 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 616 citations

    2

    h-index

  5. Eurographics

    Repository · 2 publications · 38 citations

    2

    h-index

1–5