Scene Depth Reconstruction

Scene Depth Reconstruction is a computational method that estimates the three-dimensional spatial structure of a scene from two-dimensional visual inputs by predicting depth values for each pixel or region, distinguishing itself through its focus on recovering occluded and non-visible surfaces to achieve a complete and geometrically accurate representation.

457

Publications

37.9K

Citations

1.3K

Authors

434

Institutions

Publications per year

2017–2026

192

Authors

1.3K

  1. SK
    Shree K. Nayar

    Columbia University, United States

    8 publications · 768 citations

    8

    h-index

  2. VK
    Vivek K Goyal

    Massachusetts Institute of Technology, United States

    8 publications · 772 citations

    8

    h-index

  3. AN
    A. N. Rajagopalan

    Indian Institute of Technology Madras, India

    7 publications · 369 citations

    7

    h-index

  4. IS
    In So Kweon

    Korea Advanced Institute of Science and Technology, South Korea

    6 publications · 303 citations

    7

    h-index

  5. SC
    Subhasis Chaudhuri

    Indian Institute of Technology Bombay, India

    6 publications · 409 citations

    6

    h-index

1–5 of 1.3K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 16 publications · 2.1K citations

    17

    h-index

  2. ACM Transactions on Graphics

    TOG · 16 publications · 2.3K citations

    16

    h-index

  3. arXiv (Cornell University)

    Repository · 24 publications · 5.2K citations

    14

    h-index

  4. IEEE Transactions on Image Processing

    14 publications · 4.3K citations

    14

    h-index

  5. Optics Express

    14 publications · 489 citations

    13

    h-index

1–5