Neural Rendering
Neural Rendering is an image-based rendering technique that employs neural networks to synthesize novel views of a scene by learning implicit scene representations from input images, distinguishing it from traditional geometry-based rendering methods through its data-driven, learned rendering pipeline.
347
Publications
43.4K
Citations
1.1K
Authors
234
Institutions
Publications per year
2017–2026
341
347
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik et al. · Communications of the ACM · 2021 · 5.8K citations · Full text
Semantic Image Synthesis With Spatially-Adaptive Normalization
Taesung Park, Ming-Yu Liu, Ting-Chun Wang et al. · 2019 · 2.8K citations
Justus Thies, Michael Zollhöfer, Matthias Nießner · ACM Transactions on Graphics · 2019 · 1.4K citations
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234
Google (United States)
Mountain View, United States
30 h-index
164 publications
32.4K citations
Adobe Systems (United States)
San Jose, United States
19 h-index
56 publications
5.7K citations
Max Planck Institute for Informatics
Saarbrücken, Germany
18 h-index
60 publications
6.3K citations

Zhejiang University
Hangzhou, China
16 h-index
55 publications
3K citations
Tsinghua University
Beijing, China
14 h-index
37 publications
2.6K citations
Stanford University
Stanford, United States
14 h-index
43 publications
10.9K citations
ETH Zurich
Zurich, Switzerland
13 h-index
31 publications
2.1K citations
ShanghaiTech University
Shanghai, China
13 h-index
89 publications
6.6K citations
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Repository · 70 publications · 3.6K citations
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TOG · 37 publications · 3.7K citations
27
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Conference · 27 publications · 5K citations
26
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13 publications · 1.1K citations
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Conference · 11 publications · 2.5K citations
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