Lighting Environment Estimation is a computational method in computer graphics that recovers the spatially varying illumination conditions of a real-world scene from a single or multiple images, enabling accurate relighting and realism in image-based lighting applications.
72
Publications
3.9K
Citations
190
Authors
103
Institutions
Publications per year
2017–2026
26
Parents
Publications
72
Learning to predict indoor illumination from a single image
Marc-André Gardner, Kalyan Sunkavalli, Ersin Yumer et al. · ACM Transactions on Graphics · 2017 · 332 citations
Deep outdoor illumination estimation
Yannick Hold-Geoffroy, Kalyan Sunkavalli, Sunil Hadap et al. · 2017 · 228 citations
1–5 of 72
Authors
190
- JL
11
h-index
- KS
7
h-index
- YH
5
h-index
- EG
4
h-index
- SH
4
h-index
1–5 of 190
Institutions
103
Adobe Systems (United States)
San Jose, United States
8 h-index
24 publications
2.8K citations
Université Laval
Québec, Canada
7 h-index
13 publications
1.4K citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
14 publications
1.3K citations
Dartmouth College
Hanover, United States
3 h-index
5 publications
875 citations
Zhejiang University
Hangzhou, China
3 h-index
8 publications
236 citations
Kyoto University
Kyoto, Japan
3 h-index
11 publications
328 citations
Chinese Academy of Sciences
Beijing, China
2 h-index
8 publications
448 citations
Stony Brook University
Stony Brook, United States
2 h-index
4 publications
362 citations
1–8 of 103
Venues
- IEEE Transactions on Image Processing
3 publications · 252 citations
3
h-index
- arXiv (Cornell University)
Repository · 3 publications · 36 citations
3
h-index
- ACM Transactions on Graphics
TOG · 3 publications · 560 citations
3
h-index
- Computer Graphics Forum
2 publications · 73 citations
2
h-index
- Building and Environment
2 publications · 40 citations
2
h-index
1–5