Computational Photography Simulation

Computational Photography Simulation is a computational framework that simulates the image formation processes and algorithmic enhancements characteristic of computational photography, distinguishing itself from traditional camera simulation by incorporating post-capture processing techniques such as denoising, super-resolution, and computational depth effects within the simulated imaging pipeline.

60

Publications

4.9K

Citations

199

Authors

76

Institutions

Publications per year

2017–2026

18

Authors

199

  1. GW
    Gordon Wetzstein

    Stanford University, United States

    4 publications · 200 citations

    4

    h-index

  2. RS
    Richard Szeliski

    Microsoft (United States), United States

    4 publications · 187 citations

    4

    h-index

  3. ML
    Marc Levoy

    Stanford University, United States

    3 publications · 2.2K citations

    3

    h-index

  4. QD
    Qionghai Dai

    Tsinghua University, China

    3 publications · 92 citations

    3

    h-index

  5. DK
    Dilip Krishnan

    Google (United States), United States

    3 publications · 172 citations

    3

    h-index

1–5 of 199

Venues

  1. ACM Transactions on Graphics

    TOG · 5 publications · 888 citations

    5

    h-index

  2. Computer Graphics Forum

    4 publications · 131 citations

    4

    h-index

  3. IEEE Transactions on Image Processing

    3 publications · 159 citations

    3

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 89 citations

    2

    h-index

  5. Journal of Electronic Imaging

    2 publications · 53 citations

    2

    h-index

1–5