mlsanityData to 7 Oct 2026

Generative Models for Multi-Illumination Color Constancy

arXiv 2109.00863 ↗First posted 2 Sep 2021cs.CVcited by 4

Not on the map. Why?

Abstract (arXiv)

In this paper, the aim is multi-illumination color constancy. However, most of the existing color constancy methods are designed for single light sources. Furthermore, datasets for learning multiple illumination color constancy are largely missing. We propose a seed (physics driven) based multi-illumination color constancy method. GANs are exploited to model the illumination estimation problem as an image-to-image domain translation problem. Additionally, a novel multi-illumination data augmentation method is proposed. Experiments on single and multi-illumination datasets show that our methods outperform sota methods.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 11 of its 44 references that are in the map. First posted on arXiv 2 Sep 2021.

Builds on

11 of 44 references.

References · 11

  1. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  2. 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,510
  3. 2017StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translationcited by 1,036
  4. 2017Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networkscited by 707
  5. 2016Fast Fourier Color Constancycited by 37
  6. 2019On Finding Gray Pixelscited by 26
  7. 2015Color Constancy Using CNNscited by 21
  8. 2017Unsupervised Learning for Color Constancycited by 19
  9. 2018Conditional GANs for Multi-Illuminant Color Constancy: Revolution or Yet Another Approach?cited by 17
  10. 2016Approaching the Computational Color Constancy as a Classification Problem through Deep Learningcited by 12
  11. 2018Color Constancy by GANs: An Experimental Surveycited by 3

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 1; 2025: 0; 2026: 2.

4 papers.

  1. 2026White-Balance First, Adjust Later: Cross-Camera Color Constancy via Vision-Language Evaluationcited by 3
  2. 2026RL-AWB: Deep Reinforcement Learning for Auto White Balance Correction in Low-Light Night-time Scenescited by 2
  3. 2023Investigating Color Illusions from the Perspective of Computational Color Constancycited by 1
  4. 2024Deep intra-operative illumination calibration of hyperspectral camerascited by 1