Fur Appearance Modeling

Fur Appearance Modeling is a computational method in computer graphics that characterizes the visual properties of fur by simulating light interaction with dense hair strands to achieve realistic rendering under varying viewing and illumination conditions.

17

Publications

2K

Citations

47

Authors

16

Institutions

Publications per year

2017–2026

4

Authors

47

  1. LY
    Ling‐Qi Yan

    University of California, Santa Barbara, United States

    3 publications · 63 citations

    3

    h-index

  2. TM
    Tom Mertens

    Hasselt University, Belgium

    2 publications · 39 citations

    2

    h-index

  3. JK
    Jan Kautz

    University College London, United Kingdom

    2 publications · 39 citations

    2

    h-index

  4. PB
    Philippe Bekaert

    Hasselt University, Belgium

    2 publications · 39 citations

    2

    h-index

  5. FV
    Frank Van Reeth

    Hasselt University, Belgium

    2 publications · 39 citations

    2

    h-index

1–5 of 47

Venues

  1. ACM Transactions on Graphics

    TOG · 3 publications · 63 citations

    3

    h-index

  2. Computer Graphics Forum

    2 publications · 41 citations

    2

    h-index

  3. Eurographics

    Repository · 2 publications · 61 citations

    2

    h-index

  4. 1

    h-index

  5. Measurement

    1 publications · 17 citations

    1

    h-index

1–5