Neural Rendering

Neural Rendering is an image-based rendering technique that employs neural networks to synthesize novel views of a scene by learning implicit scene representations from input images, distinguishing it from traditional geometry-based rendering methods through its data-driven, learned rendering pipeline.

347

Publications

43.4K

Citations

1.1K

Authors

234

Institutions

Publications per year

2017–2026

341

Authors

1.1K

  1. CT
    Christian Theobalt

    Max Planck Institute for Informatics, Germany

    20 publications · 1.6K citations

    16

    h-index

  2. JT
    Jonathan T. Barron

    Google (United States), United States

    16 publications · 9.7K citations

    15

    h-index

  3. PP
    Pratul P. Srinivasan

    Google (United States), United States

    14 publications · 9.4K citations

    14

    h-index

  4. BM
    Ben Mildenhall

    Google (United States), United States

    14 publications · 9K citations

    14

    h-index

  5. MZ
    Michael Zollhöfer

    Max Planck Institute for Informatics, Germany

    14 publications · 2.3K citations

    12

    h-index

1–5 of 1.1K

Venues

  1. arXiv (Cornell University)

    Repository · 70 publications · 3.6K citations

    28

    h-index

  2. ACM Transactions on Graphics

    TOG · 37 publications · 3.7K citations

    27

    h-index

  3. 26

    h-index

  4. Computer Graphics Forum

    13 publications · 1.1K citations

    13

    h-index

  5. 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

    Conference · 11 publications · 2.5K citations

    11

    h-index

1–5