Differentiable Ray Tracing
Differentiable Ray Tracing is a computational rendering method that extends traditional ray tracing by enabling the differentiation of rendered outputs with respect to scene parameters, thereby supporting gradient-based optimization in inverse graphics and machine learning applications.
41
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2.3K
Citations
153
Authors
49
Institutions
Publications per year
2017–2026
39
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41
Differentiable Monte Carlo ray tracing through edge sampling
Tzu‐Mao Li, Miika Aittala, Frédo Durand et al. · ACM Transactions on Graphics · 2018 · 446 citations · Full text
DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing
Shaohui Liu, Yinda Zhang, Songyou Peng et al. · 2020 · 263 citations
End-to-end complex lens design with differentiate ray tracing
Qilin Sun, Congli Wang, Qiang Fu et al. · ACM Transactions on Graphics · 2021 · 138 citations
Natural Sciences, Biomedical Engineering, Digital Imaging +15
Neural Reflectance Fields for Appearance Acquisition
Sai Bi, Zexiang Xu, Pratul P. Srinivasan et al. · arXiv (Cornell University) · 2020 · 111 citations · Full text
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University of California System
Oakland, United States
5 h-index
11 publications
334 citations
Adobe Systems (United States)
San Jose, United States
4 h-index
8 publications
374 citations
University of California San Diego
San Diego, United States
4 h-index
10 publications
458 citations
Google (United States)
Mountain View, United States
3 h-index
4 publications
312 citations
Meta (Israel)
Tel Aviv, Israel
3 h-index
8 publications
197 citations
Max Planck Institute for Informatics
Saarbrücken, Germany
3 h-index
11 publications
206 citations
Zhejiang Lab
Hangzhou, China
2 h-index
3 publications
119 citations

McGill University
Montreal, Canada
2 h-index
2 publications
26 citations
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TOG · 12 publications · 951 citations
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Repository · 9 publications · 322 citations
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Conference · 2 publications · 61 citations
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2 publications · 79 citations
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LNCS · Book series · 1 publications · 17 citations
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