mlsanityData to 7 Oct 2026

FLOL: Fast Baselines for Real-World Low-Light Enhancement

arXiv 2501.09718 ↗First posted 16 Jan 2025cs.CV cs.ROcited by 3

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Abstract (arXiv)

Low-Light Image Enhancement (LLIE) is a key task in computational photography and imaging. The problem of enhancing images captured during night or in dark environments has been well-studied in the computer vision literature. However, current deep learning-based solutions struggle with efficiency and robustness for real-world scenarios (e.g., scenes with noise, saturated pixels). We propose a lightweight neural network that combines image processing in the frequency and spatial domains. Our baseline method, FLOL, is one of the fastest models for this task, achieving results comparable to the state-of-the-art on popular real-world benchmarks such as LOLv2, LSRW, MIT-5K and UHD-LL. Moreover, we are able to process 1080p images in real-time under 12ms. Code and models at https://github.com/cidautai/FLOL

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 39 of its 75 references that are in the map. First posted on arXiv 16 Jan 2025.

Builds on

39 of 75 references.

References · 39

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27 more
  1. 2022Simple Baselines for Image Restorationcited by 701
  2. 2020Zero-Reference Deep Curve Estimation for Low-Light Image Enhancementcited by 541
  3. 2021MetaFormer Is Actually What You Need for Visioncited by 523
  4. 2022MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessmentcited by 514
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  9. 2021Low-Light Image Enhancement with Normalizing Flowcited by 184
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  14. 2021R2RNet: Low-light Image Enhancement via Real-low to Real-normal Networkcited by 106
  15. 2023Implicit Neural Representation for Cooperative Low-light Image Enhancementcited by 92
  16. 2023Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancementcited by 86
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  18. 2024LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Modelscited by 70
  19. 2021Low-light Image Enhancement via Breaking Down the Darknesscited by 65
  20. 2023FourLLIE: Boosting Low-Light Image Enhancement by Fourier Frequency Informationcited by 64
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  22. 2019Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Softwarecited by 34
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  24. 2024You Only Need One Color Space: An Efficient Network for Low-light Image Enhancementcited by 24
  25. 2022DynamicISP: Dynamically Controlled Image Signal Processor for Image Recognitioncited by 23
  26. 2024Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representationscited by 21
  27. 2022Rawgment: Noise-Accounted RAW Augmentation Enables Recognition in a Wide Variety of Environmentscited by 18

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 1.

3 papers.

  1. 2025NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Resultscited by 22
  2. 2025NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Resultscited by 1
  3. 2026UHD Low-Light Image Enhancement via Real-Time Enhancement Methods with Clifford Information Fusioncited by 0