  In this paper, we formulate the color constancy task as an image-to-image
translation problem using GANs. By conducting a large set of experiments on
different datasets, an experimental survey is provided on the use of different
types of GANs to solve for color constancy i.e. CC-GANs (Color Constancy GANs).
Based on the experimental review, recommendations are given for the design of
CC-GAN architectures based on different criteria, circumstances and datasets.
