Reflectance Decomposition
Reflectance Decomposition is a computational method in the field of reflectance modeling that separates the total reflectance of a surface into its constituent physical components, such as diffuse and specular reflections, to facilitate accurate visualization and analysis of material appearance under varying illumination conditions.
96
Publications
6.7K
Citations
305
Authors
126
Institutions
Publications per year
2017–2026
32
96
Deriving intrinsic images from image sequences
Yaakov Weiss · 2002 · 583 citations
Ground truth dataset and baseline evaluations for intrinsic image algorithms
Roger Grosse, Micah K. Johnson, Edward H. Adelson et al. · 2009 · 449 citations · Full text
STAR: A Structure and Texture Aware Retinex Model
IEEE Transactions on Image Processing · 2020 · 299 citations · Full text
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University of California, Berkeley
Berkeley, United States
7 h-index
14 publications
1.9K citations
Microsoft Research Asia (China)
Beijing, China
7 h-index
18 publications
1.3K citations
Simon Fraser University
Burnaby, Canada
6 h-index
10 publications
377 citations

Zhejiang University
Hangzhou, China
5 h-index
13 publications
861 citations
ETH Zurich
Zurich, Switzerland
3 h-index
6 publications
780 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
7 publications
197 citations
National University of Singapore
Singapore, Singapore
3 h-index
4 publications
584 citations
Tianjin University
Tianjin, China
3 h-index
9 publications
784 citations
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TOG · 7 publications · 670 citations
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TPAMI · 4 publications · 333 citations
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3 publications · 58 citations
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TVCG · 3 publications · 193 citations
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3 publications · 173 citations
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