[2021 IJCV] Benchmarking Low-Light Image Enhancement and Beyond Paper
[2020 IEEE ACCESS] An Experiment-Based Review of Low-Light Image Enhancement Methods Paper
Todo
[2020 TIP] LR3M: Robust Low-Light Enhancement via Low-Rank Regularized Retinex Model Paper
[2018 TIP] Structure-Revealing Low-Light Image Enhancement via Robust Retinex Model Paper
[2016 CVPR] MF: A weighted variational model for simultaneous reflectance and illumination estimation Paper Code
[2017 TIP] LIME: Low-Light Image Enhancement via Illumination Map Estimation Paper Code
Todo
[2021 TIP] Sparse Gradient Regularized Deep Retinex Network for Robust Low-Light Image Enhancement Paper
[2021 IJCV] Attention-guided Low-light Image Enhancement Paper Code
[2021 Preprint] R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network Paper Code
[2020 CVPR] Learning to Restore Low-Light Images via Decomposition-and-Enhancement Paper
[2018 BMVC] Retinex-Net: Deep Retinex Decomposition for Low-Light Enhancement Paper Code
[2018 FG] GLADNet: Low-Light Enhancement Network with Global Awareness Paper Code
[2018 CVPR] Learning to See in the Dark Paper Code
[2020 CVPR] DRBN: From Fidelity to Visual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement Paper Code
[2020 CVPR] Zero-DCE: Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement Paper Code
[2020.2 SPL] Unsupervised Low-Light Image Enhancement Using Bright Channel Prior Paper
[2019.6 Preprint] EnlightenGAN: Deep Light Enhancement without Paired Supervision Paper Code
[2021 TMM] Recurrent Exposure Generation for Low-Light Face Detection Paper
[2021 CVPR] HLA-Face: Joint High-Low Adaptation for Low Light Face Detection Paper
[2020 ACM MM] Integrating Semantic Segmentation and Retinex Model Paper
LOL(LOw-Light): 500 pairs images. Download
GladNet-Dataset: Download
Synthetic Dataset Download
SID(See In the Dark) Download
MIT-Adobe FiveK Dataset Download
Exclusively-Dark-Image-Dataset Download
Darkface Download
LSRW Download
MSE Matlab
PSNR Matlab
SSIM Matlab
UQI Matlab
TQMI Matlab
NIQE Matlab
LOE Matlab
Bak of codes and datasets Baidu Drive (hxyi)
To do
@Misc{2021shiALLIE,
howpublished = {\url{https://github.com/ymmshi/Awesome-Low-Light-Enhancement}},
title = {Awesome-Low-Light-Image-Enhancement},
author = {ymshi},
}
If your research interests is related to low-light image enhancement, please contact us, email: ymshi At mail.ustc.edu.cn
Welcome to pull requests or create issues!