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Constrained Palette-Space Exploration

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Fig. 1. a) In this work we represent the color relations (e.g. shades, anchors and contrasts) of an input palette as a constraint hypergraph (b), from which we derive two optimization-based exploration strategies
Fig. 2. a) Our approach takes as input a constrained palette defined as a set of colors connected in a graph by n -ary constraints
Fig. 3. Interpolation-based exploration, expressed as path-set optimization in color space
Fig. 6. Overview of the palette design pipeline: a) Select the number of colors within the palette, possibly using palette extraction tools
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