Multi-view Synthesis

Multi-View Synthesis is a computational framework that generates novel viewpoint images from multiple projector-camera inputs by jointly optimizing geometric registration, radiometric calibration, and occlusion-aware blending to achieve seamless wide-field visual displays.

303

Publications

19.6K

Citations

971

Authors

271

Institutions

Publications per year

2017–2026

135

Authors

971

  1. NS
    Noah Snavely

    Cornell University, United States

    10 publications · 3.1K citations

    10

    h-index

  2. JT
    Jonathan T. Barron

    Google (United States), United States

    8 publications · 3.3K citations

    8

    h-index

  3. HS
    Hideo Saitô

    Keio University, Japan

    8 publications · 279 citations

    8

    h-index

  4. MD
    Marek Domański

    Poznań University of Technology, Poland

    7 publications · 136 citations

    7

    h-index

  5. GC
    Gene Cheung

    National Institute of Informatics, Japan

    6 publications · 220 citations

    6

    h-index

1–5 of 971

Venues

  1. arXiv (Cornell University)

    Repository · 29 publications · 1.1K citations

    20

    h-index

  2. IEEE Transactions on Multimedia

    12 publications · 649 citations

    12

    h-index

  3. IEEE Transactions on Image Processing

    11 publications · 745 citations

    10

    h-index

  4. 8

    h-index

  5. ACM Transactions on Graphics

    TOG · 8 publications · 1.8K citations

    8

    h-index

1–5