Lighting the Darkness in the Deep Learning Era: A Survey, An Online Platform, A New Dataset

Lighting the Darkness in the Deep Learning Era: A Survey, An Online Platform, A New Dataset

This repository provides a unified online platform, LoLi-Platform http://mc.nankai.edu.cn/ll/, that covers many popular deep learning-based LLIE methods, of which the results can be produced through a user-friendly web interface, contains a low-light image and video dataset, LoLi-Phone (will be released soon), in which the images and videos are taken by various phones' cameras under diverse illumination conditions and scenes, and collects deep learning-based low-light image and video enhancement methods, datasets, and evaluation metrics. More content and details can be found in our Survey Paper: Lighting the Darkness in the Deep Learning Era. We provide the comparison results on the real low-light videos taken by different mobile phones’ cameras at YouTube https://www.youtube.com/watch?v=Elo9TkrG5Oo&t=6s.

✌ We will periodically update the content. Welcome to let us know if we miss your work that is published in top-tier Journal or conference. We will add it.

✌ Our LoLi-Platform supports the function of download. Please right click and then save the figure.

✌ If you use this dataset or platform, please cite our paper. Please hit the star at the top-right corner. Thanks!

Contents

1. LoLi-Platform
2. LoLi-Phone Dataset
3. Methods
4. Datasets
5. Metrics
6. Citation

LoLi-Platform

Currently, the LoLi-Platform covers 13 popular deep learning-based LLIE methods including LLNet, LightenNet, Retinex-Net, EnlightenGAN, MBLLEN, KinD, KinD++, TBEFN, DSLR, DRBN, ExCNet, Zero-DCE, and RRDNet, where the results of any inputs can be produced through a user-friendly web interface. Have fun: LoLi-Platform.

LoLi-Phone

LoLi-Phone dataset contains 120 videos (55,148 images) taken by 18 different phones' cameras including iPhone 6s, iPhone 7, iPhone7 Plus, iPhone8 Plus, iPhone 11, iPhone 11 Pro, iPhone XS, iPhone XR, iPhone SE, Xiaomi Mi 9, Xiaomi Mi Mix 3, Pixel 3, Pixel 4, Oppo R17, Vivo Nex, LG M322, OnePlus 5T, Huawei Mate 20 Pro under diverse illumination conditions (e.g., weak illumination, underexposure, dark, extremely dark, back-lit, non-uniform light, color light sources, etc.) in the indoor and outdoor scenes. Anyone can access the LoLi-Phone dataset.

Methods

Datasets

Metrics

Citation

If you find the repository helpful in your resarch, please cite the following paper.

@article{LoLi,
  title={Lighting the Darkness in the Deep Learning Era},
  author={Li, Chongyi and Guo, Chunle and Han, Linghao and Jiang, Jun and Cheng, Ming-Ming and Gu, Jinwei and Loy, Chen Change},
  journal={arXiv:2104.10729},
  year={2021}
}

Contact Information

[email protected]

[email protected]