Differentiable Ray Tracing

Differentiable Ray Tracing is a computational rendering method that extends traditional ray tracing by enabling the differentiation of rendered outputs with respect to scene parameters, thereby supporting gradient-based optimization in inverse graphics and machine learning applications.

41

Publications

2.3K

Citations

153

Authors

49

Institutions

Publications per year

2017–2026

39

Authors

153

  1. SZ
    Shuang Zhao

    Cornell University, United States

    5 publications · 153 citations

    5

    h-index

  2. RR
    Ravi Ramamoorthi

    University of California, Berkeley, United States

    4 publications · 163 citations

    4

    h-index

  3. CT
    Christian Theobalt

    Max Planck Institute for Informatics, Germany

    4 publications · 94 citations

    4

    h-index

  4. ZY
    Z. Yu

    University of California System, United States

    2 publications · 56 citations

    2

    h-index

  5. YH
    Yuchi Huo

    Zhejiang University, China

    2 publications · 84 citations

    2

    h-index

1–5 of 153

Venues

  1. ACM Transactions on Graphics

    TOG · 12 publications · 951 citations

    11

    h-index

  2. arXiv (Cornell University)

    Repository · 9 publications · 322 citations

    9

    h-index

  3. 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

    Conference · 2 publications · 61 citations

    2

    h-index

  4. Optics Express

    2 publications · 79 citations

    2

    h-index

  5. Lecture notes in computer science

    LNCS · Book series · 1 publications · 17 citations

    1

    h-index

1–5