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
Parents
303
Tinghui Zhou, Richard Tucker, John P. Flynn et al. · ACM Transactions on Graphics · 2018 · 743 citations · Full text
IBRNet: Learning Multi-View Image-Based Rendering
Qianqian Wang, Zhicheng Wang, Kyle Genova et al. · 2021 · 683 citations
Deep Stereo: Learning to Predict New Views from the World's Imagery
John P. Flynn, Ivan Neulander, James Philbin et al. · 2016 · 613 citations
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271
Tsinghua University
Beijing, China
13 h-index
41 publications
1.7K citations
Google (United States)
Mountain View, United States
11 h-index
59 publications
27K citations
Technische Universität Berlin
Berlin, Germany
11 h-index
16 publications
894 citations

Keio University
Tokyo, Japan
8 h-index
14 publications
392 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
7 h-index
17 publications
2.2K citations
University of California San Diego
San Diego, United States
7 h-index
15 publications
2.9K citations
ETH Zurich
Zurich, Switzerland
7 h-index
16 publications
2.9K citations

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
Berlin, Germany
7 h-index
35 publications
6.6K citations
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Repository · 29 publications · 1.1K citations
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12 publications · 649 citations
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11 publications · 745 citations
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8 publications · 178 citations
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TOG · 8 publications · 1.8K citations
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