# Deep Retinex Network for Estimating Illumination Colors with Self-Supervised Learning

arXiv: https://arxiv.org/abs/2102.04003 · HTML: https://mlsanity.com/paper/2102.04003/

## Key facts

- Cited by 7 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 8 Feb 2021.

## Built on by (most cited first, 7 of 7)

- [Unsupervised Intrinsic Image Decomposition with LiDAR Intensity](https://mlsanity.com/paper/2303.10820/) (2023)
- [Separated-Spectral-Distribution Estimation Based on Bayesian Inference with Single RGB Camera](https://mlsanity.com/paper/2106.01861/) (2021)
- [Discriminative feature encoding for intrinsic image decomposition](https://mlsanity.com/paper/2209.12155/) (2022)
- [Template matching with white balance adjustment under multiple illuminants](https://mlsanity.com/paper/2208.02035/) (2022)
- [Unsupervised Intrinsic Image Decomposition with LiDAR Intensity Enhanced Training](https://mlsanity.com/paper/2403.14089/) (2024)
- [Shadow Erosion and Nighttime Adaptability for Camera-Based Automated Driving Applications](https://mlsanity.com/paper/2504.08551/) (2025)
- [IPCD: Intrinsic Point-Cloud Decomposition](https://mlsanity.com/paper/2511.09866/) (2025)

## Abstract (arXiv)

We propose a novel Retinex image-decomposition network that can be trained in a self-supervised manner. The Retinex image-decomposition aims to decompose an image into illumination-invariant and illumination-variant components, referred to as "reflectance" and "shading," respectively. Although there are three consistencies that the reflectance and shading should satisfy, most conventional work considers only one or two of the consistencies. For this reason, the three consistencies are considered in the proposed network. In addition, by using generated pseudo-images for training, the proposed network can be trained with self-supervised learning. Experimental results show that our network can decompose images into reflectance and shading components. Furthermore, it is shown that the proposed network can be used for white-balance adjustment.