Data-driven Color Mapping
Data-Driven Color Mapping is a color mapping methodology that derives its color assignments directly from the statistical or structural properties of the underlying dataset, distinguishing itself from rule-based or perceptually guided approaches by prioritizing empirical data characteristics in the formation of visual encodings.
22
Publications
1.8K
Citations
84
Authors
30
Institutions
Publications per year
2017–2026
6
Parents
22
Real-time user-guided image colorization with learned deep priors
Richard Zhang, Jun-Yan Zhu, Phillip Isola et al. · ACM Transactions on Graphics · 2017 · 563 citations
Selecting Semantically‐Resonant Colors for Data Visualization
Sharon Lin, Julie Fortuna, Chinmay Kulkarni et al. · Computer Graphics Forum · 2013 · 193 citations
Data-driven image color theme enhancement
Baoyuan Wang, Yizhou Yu, Tien‐Tsin Wong et al. · ACM Transactions on Graphics · 2010 · 110 citations
Computing, Design, Visualization +17
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Chinese University of Hong Kong
Hong Kong, Hong Kong
4 h-index
5 publications
356 citations

Zhejiang University
Hangzhou, China
3 h-index
6 publications
456 citations
Microsoft Research Asia (China)
Beijing, China
3 h-index
3 publications
228 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
3 publications
228 citations
Stony Brook University
Stony Brook, United States
2 h-index
6 publications
159 citations
VRVis GmbH (Austria)
Vienna, Austria
1 h-index
1 publications
10 citations

University of Rostock
Rostock, Germany
1 h-index
3 publications
297 citations
Hua Medicine (China)
Shanghai, China
1 h-index
1 publications
13 citations
1–8 of 30
TVCG · 3 publications · 206 citations
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TOG · 3 publications · 875 citations
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Conference · 1 publications · 29 citations
1
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1 publications · 193 citations
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Repository · 1 publications · 38 citations
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