# DeepUPE
**Repository Path**: yanbinwang/deep-upe
## Basic Information
- **Project Name**: DeepUPE
- **Description**: https://github.com/Jia-Research-Lab/DeepUPE
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-01-20
- **Last Updated**: 2021-01-20
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# Underexposed Photo Enhancement Using Deep Illumination Estimation
[Ruixing Wang](http://appsrv.cse.cuhk.edu.hk/~rxwang/)1, [Qing Zhang](http://zhangqing-home.net)2, [Chi-Wing Fu](https://www.cse.cuhk.edu.hk/~cwfu/)1, [Xiaoyong Shen](http://xiaoyongshen.me/)3, [Wei-Shi Zheng](https://sites.google.com/site/sunnyweishi/)2, [Jiaya Jia](http://jiaya.me/)1,3
1The chinese university of hong kong 2Sun Yat-sen University 3Tencent Youtu Lab
### [Paper](https://drive.google.com/file/d/1CCd0NVEy0yM2ulcrx44B1bRPDmyrgNYH/view?usp=sharing), [Errata](https://drive.google.com/file/d/1fJ7MQfm6NuCMtfQzLM0Y6LNU9XyQb6Ho/view?usp=sharing)
### Usage
1. Clone the repository:
```shell
git clone https://github.com/wangruixing/DeepUPE.git
```
2. Install the Python dependencies, run:
```shell
cd main
pip install -r requirements.txt
make
```
3. Evaluation:
The test set can be downloaded in https://drive.google.com/open?id=1FrlMdnwiUfHthtw0jHdp40IbOVXfsoZJ. It includes 500 pair images from MIT-Adobe FiveK 4500-5000. You can download this and run:
```shell
python main/run.py checkpoints