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This work presents a new approach based on deep learning to automatically extract colormaps from visualizations.
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Tree colors: Color schemes for tree-structured data
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A survey and task-based quality assessment of static 2D colormaps
J. Bernard, M. Steiger, S. Mittelstädt, S. Thum, D. Keim, and J. Kohlhammer · 2015
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Colormap ND
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Colornet: Investigating the importance of color spaces for image classification
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Evaluating ‘graphical perception’ with CNNs
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F. M. Hohman, M. Kahng, R. Pienta, and D. H. Chau · 2019
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The making of continuous colormaps
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Optimizing color assignment for perception of class separability in multiclass scatterplots
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A comprehensive survey on graph neural networks
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A survey of colormaps in visualization
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Searching the visual style and structure of d3 visualizations
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Applying machine learning advances to data visualization: A survey on ML4VIS
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Composition and configuration patterns in multiple-view visualizations
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