Shape Completion
Shape Completion is a perceptual inference process in which the human visual system or a computational model reconstructs the full geometric structure of an object from partial or occluded boundary information, thereby enabling coherent object recognition under visual uncertainty.
234
Publications
27.4K
Citations
634
Authors
212
Institutions
Publications per year
2017–2026
134
234
3D ShapeNets: A deep representation for volumetric shapes
Zhirong Wu, Shuran Song, Aditya Khosla et al. · 2015 · 4.7K citations · Full text
Dragomir Anguelov, Daphne Koller, Sebastian Thrun et al. · ACM Transactions on Graphics · 2005 · 1.6K citations
Wentao Yuan, Tejas Khot, David Held et al. · 2018 · 958 citations
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Stanford University
Stanford, United States
10 h-index
30 publications
21K citations
Tsinghua University
Beijing, China
9 h-index
24 publications
4.9K citations
Princeton University
Princeton, United States
9 h-index
20 publications
24.9K citations

University of Toronto
Toronto, Canada
7 h-index
15 publications
1.1K citations
Adobe Systems (United States)
San Jose, United States
7 h-index
11 publications
1.8K citations

Radboud University Nijmegen
Nijmegen, The Netherlands
7 h-index
17 publications
795 citations
University of California, Los Angeles
Los Angeles, United States
7 h-index
13 publications
637 citations
University of California, Berkeley
Berkeley, United States
6 h-index
10 publications
1.6K citations
1–8 of 212
Repository · 27 publications · 1.5K citations
19
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11 publications · 563 citations
11
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11 publications · 571 citations
10
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TPAMI · 7 publications · 334 citations
7
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TOG · 6 publications · 2.2K citations
6
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