Huang, Hao-ZhiZhang, Song-HaiMartin, Ralph R.Hu, Shi-MinJ. Keyser, Y. J. Kim, and P. Wonka2015-03-032015-03-0320141467-8659https://doi.org/10.1111/cgf.12498We present a data-driven method for automatically recoloring a photo to enhance its appearance or change a viewer's emotional response to it. A compact representation called a RegionNet summarizes color and geometric features of image regions, and geometric relationships between them. Correlations between color property distributions and geometric features of regions are learned from a database of well-colored photos. A probabilistic factor graph model is used to summarize distributions of color properties and generate an overall probability distribution for color suggestions. Given a new input image, we can generate multiple recolored results which unlike previous automatic results, are both natural and artistic, and compatible with their spatial arrangements.10.1111/cgf.12498