Denoising For Rendering

Denoising for Rendering is a computational method in photorealistic rendering that reduces image noise caused by Monte Carlo sampling while preserving fine spatial and temporal details, thereby accelerating convergence without compromising visual fidelity.

44

Publications

3K

Citations

173

Authors

64

Institutions

Publications per year

2017–2026

34

Authors

173

  1. FR
    Fabrice Rousselle

    Walt Disney (United States), United States

    6 publications · 707 citations

    6

    h-index

  2. BM
    Bochang Moon

    Korea Advanced Institute of Science and Technology, South Korea

    4 publications · 141 citations

    4

    h-index

  3. DA
    David A. Adler

    Tufts Medical Center, United States

    3 publications · 277 citations

    3

    h-index

  4. JA
    José A. Iglesias-Guitián

    Center for Advanced Studies Research and Development in Sardinia, Italy

    3 publications · 122 citations

    3

    h-index

  5. MG
    Michaël Gharbi

    Adobe Systems (United States), United States

    3 publications · 160 citations

    3

    h-index

1–5 of 173

Venues

  1. ACM Transactions on Graphics

    TOG · 12 publications · 1.4K citations

    12

    h-index

  2. Computer Graphics Forum

    11 publications · 454 citations

    11

    h-index

  3. arXiv (Cornell University)

    Repository · 3 publications · 355 citations

    3

    h-index

  4. 2

    h-index

  5. Computational Visual Media

    2 publications · 88 citations

    2

    h-index

1–5