This is a resouce list for low light image enhancement

"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)

Enhance Images with Javascript and AI. Increase resolution, retouch, denoise, and more. Open Source, Browser & Node Compatible, MIT License.

[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.

[ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR

🌕 [BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-processing.

[CVPR2025 && NTIRE2025] HVI: A New Color Space for Low-light Image Enhancement (Official Implementation)

A Repository for Diffusion-Model-related Papers in Low-level Vision

[TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement

[ECCV2022] "Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression", https://arxiv.org/abs/2207.10564

Code for “MBLLEN: Low-light Image/Video Enhancement Using CNNs”, BMVC 2018.

[ICCV 2023] Implicit Neural Representation for Cooperative Low-light Image Enhancement

[ECCV 2022] LEDNet: Joint Low-light Enhancement and Deblurring in the Dark

[ECCV 2024] OneRestore: A Universal Restoration Framework for Composite Degradation

The code release of paper "AAAI Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method", AAAI 2023

🌕 [ICCV 2021] Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. A self-supervised learning way for low-light image object detection.

[ICLR'25] AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation

[ACMMM2023] "Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution", https://arxiv.org/abs/2308.01738

Official PyTorch code and dataset of the paper "Local Color Distributions Prior for Image Enhancement" [ECCV2022]

[CVPR 2022--Oral, Best paper Finalist] Burst Image Restoration and Enhancement. SOTA for Burst Super-resolution, Low-light Burst Image Enhancement, Burst Image De-noising