English

Color Constancy by GANs: An Experimental Survey

Computer Vision and Pattern Recognition 2018-12-10 v1

Abstract

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.

Keywords

Cite

@article{arxiv.1812.03085,
  title  = {Color Constancy by GANs: An Experimental Survey},
  author = {Partha Das and Anil S. Baslamisli and Yang Liu and Sezer Karaoglu and Theo Gevers},
  journal= {arXiv preprint arXiv:1812.03085},
  year   = {2018}
}
R2 v1 2026-06-23T06:35:32.955Z