Ruixing Wang¹, Qing Zhang², Chi-Wing Fu¹, Xiaoyong Shen³, Wei-Shi Zheng², Jiaya Jia^1,3

¹The chinese university of hong kong ²Sun Yat-sen University ³Tencent Youtu Lab

1. Clone the repository:

   git clone https://github.com/wangruixing/DeepUPE.git

2. Install the Python dependencies, run:

   cd main
   pip install -r requirements.txt
   make

3. Evaluation: The test set can be downloaded in https://drive.google.com/file/d/1HZnNgptNxjKJAhekz2K5yh0mW0yKIws2/view?usp=sharing. It includes 500 pair images from MIT-Adobe FiveK 4500-5000. You can download this and run:

    python main/run.py checkpoints <input file path> <output file path>

PSNR evaluation code is in avg_psnr.m. Modify the related paths in 'avg_psnr.m', and run it.

@InProceedings{Wang_2019_CVPR,
author = {Wang, Ruixing and Zhang, Qing and Fu, Chi-Wing and Shen, Xiaoyong and Zheng, Wei-Shi and Jia, Jiaya},
title = {Underexposed Photo Enhancement Using Deep Illumination Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}