# Color Constancy by GANs: An Experimental Survey

arXiv: https://arxiv.org/abs/1812.03085 · HTML: https://mlsanity.com/paper/1812.03085/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 7 Dec 2018.

## Built on by (most cited first, 3 of 3)

- [Generative Models for Multi-Illumination Color Constancy](https://mlsanity.com/paper/2109.00863/) (2021)
- [Separated-Spectral-Distribution Estimation Based on Bayesian Inference with Single RGB Camera](https://mlsanity.com/paper/2106.01861/) (2021)
- [Colour alignment for relative colour constancy via non-standard references](https://mlsanity.com/paper/2112.15106/) (2021)

## Abstract (arXiv)

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.