This is a resouce list for low light image enhancement

[IEEE TIP] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

Contrast Enhancement Techniques for low-light images

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

[ICCV 2023] Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising && [Arxiv 2023] Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model

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

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

[TPAMI 2023 / ACMMM 2022 Best Paper Runner-Up Award] Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling (a Data Perspective)

Rethinking Noise Synthesis and Modeling in Raw Denoising (ICCV2021)

[CVPR 2023] Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification

Download and convert MIDV-500 annotations to COCO instance segmentation format

a dehaze / picture enhancement demo using ncnn

Low Light Image Enhancement

GenISP: Neural ISP for Low-Light Machine Cognition

EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams [CVPR'24]

IJCV2023 paper: Deblurring Low-Light Images with Events

Dataset for: Deep Learning Based Exposure Correction for Image Exposure Correction with Application in Computer Vision for Robotics Authors Cristiano Steffens, Paulo Lilles Jorge Drews, Silvia Silva Botelho Publication date 2018/11/6 Conference 2018 Latin American Robotic Symposium, 2018 Brazilian Symposium on Robotics (SBR) and 2018 Workshop on…

Saturation/underexposure/declipping CNN

Implementation of the sped-up solver of LIME image enhancement algorithm from the paper "LIME: Low-Light Image Enhancement via Illumination Map Estimation"