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
Parents
457
1–5 of 457
1.3K
8
h-index
8
h-index
7
h-index
Korea Advanced Institute of Science and Technology, South Korea
6 publications · 303 citations
7
h-index
6
h-index
1–5 of 1.3K
434
Massachusetts Institute of Technology
Cambridge, United States
13 h-index
39 publications
3.4K citations
Columbia University
New York, United States
13 h-index
20 publications
1.8K citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
12 h-index
32 publications
1.2K citations
Carnegie Mellon University
Pittsburgh, United States
10 h-index
20 publications
792 citations

Chinese Academy of Sciences
Beijing, China
9 h-index
19 publications
658 citations
ETH Zurich
Zurich, Switzerland
9 h-index
17 publications
2.8K citations
Adobe Systems (United States)
San Jose, United States
9 h-index
19 publications
2.1K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
8 h-index
24 publications
18.7K citations
1–8 of 434
TPAMI · 16 publications · 2.1K citations
17
h-index
TOG · 16 publications · 2.3K citations
16
h-index
Repository · 24 publications · 5.2K citations
14
h-index
14 publications · 4.3K citations
14
h-index
14 publications · 489 citations
13
h-index
1–5