Popular GitHub Repositories for Low Light Image Enhancement

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.

? [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.

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

[CVPR2025] HVI: A New Color Space for Low-light Image Enhancement && "You Only Need One Color Space: An Efficient Network for Low-light Image Enhancement"

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

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.

LYT-Net: Lightweight YUV Transformer-based Network for Low-Light Image Enhancement

:fire: [CVPR 2024] Color Shift Estimation-and-Correction for Image Enhancement

Official pytorch version for Self-Reference Deep Adaptive Curve Estimation for Low-Light Image Enhancement

[ECCV 2024] This is the official code for the paper "Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations"

Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement

CDAN: Convolutional Dense Attention-guided Network for Low-light Image Enhancement

Keras Implementation of MIRNet - SoTA in Image Denoising, Super Resolution and Image Enhancement - CVPR 2020

⚡️PyTorch Lightning Implementations of Recent Low-Light Image Enhancement !

Adaptive image enhancement method for correcting low-illumination images

GenISP: Neural ISP for Low-Light Machine Cognition

Implementation of [IEEE] Low Light Image Enhancement Network With Attention Mechanism and Retinex Model (ReANet)