Surface Light Field Representation

Surface Light Field Representation is a computational framework that models the spatially varying light field radiating from a surface by combining geometric surface properties with directional emission or reflection characteristics, thereby enabling high-fidelity image-based rendering through view-dependent appearance synthesis.

19

Publications

1.3K

Citations

60

Authors

25

Institutions

Publications per year

2017–2026

5

Authors

60

  1. RG
    Radek Grzeszczuk

    Stanford University, United States

    4 publications · 322 citations

    4

    h-index

  2. SM
    Siwei Ma

    Peking University, China

    2 publications · 35 citations

    2

    h-index

  3. WG
    Wen Gao

    Peking University, China

    2 publications · 35 citations

    2

    h-index

  4. MH
    Michael H. Chu

    University of North Carolina at Chapel Hill, United States

    2 publications · 285 citations

    2

    h-index

  5. MT
    Maolong Tang

    Doheny Eye Institute, United States

    2 publications · 35 citations

    2

    h-index

1–5 of 60

Venues

  1. ACM Transactions on Graphics

    TOG · 2 publications · 133 citations

    2

    h-index

  2. 1

    h-index

  3. Applied Optics

    1 publications · 176 citations

    1

    h-index

  4. 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

    Conference · 1 publications · 100 citations

    1

    h-index

  5. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 17 citations

    1

    h-index

1–5