Depth Map Synthesis

Depth Map Synthesis is a computational technique in image-based rendering that generates a dense depth representation from one or more input images by estimating the per-pixel distance from the camera to the scene, thereby enabling accurate 3D scene reconstruction and novel view synthesis.

402

Publications

20.5K

Citations

1.1K

Authors

332

Institutions

Publications per year

2017–2026

122

Authors

1.1K

  1. GC
    Gene Cheung

    National Institute of Informatics, Japan

    16 publications · 446 citations

    14

    h-index

  2. YH
    Yo‐Sung Ho

    Gwangju Institute of Science and Technology, South Korea

    13 publications · 282 citations

    11

    h-index

  3. TW
    Thomas Wiegand

    Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Germany

    7 publications · 833 citations

    7

    h-index

  4. QD
    Qionghai Dai

    Tsinghua University, China

    7 publications · 282 citations

    7

    h-index

  5. AO
    Antonio Ortega

    University of Southern California, United States

    7 publications · 446 citations

    7

    h-index

1–5 of 1.1K

Venues

  1. arXiv (Cornell University)

    Repository · 20 publications · 708 citations

    13

    h-index

  2. IEEE Transactions on Image Processing

    16 publications · 677 citations

    13

    h-index

  3. 13

    h-index

  4. 12

    h-index

  5. IEEE Transactions on Consumer Electronics

    10 publications · 286 citations

    10

    h-index

1–5