Awesome
MSLTNet
WACV 2024 (Official implementation of "4K-Resolution Photo Exposure Correction at 125 FPS with ~ 8K Parameters") [arxiv] [Paper]
A quick glimpse of comparison on the ME dataset:
<div align="left"> <img src="https://github.com/Zhou-Yijie/MSLTNet/blob/main/fig1.jpg" height="150px" ><img src="https://github.com/Zhou-Yijie/MSLTNet/blob/main/fig2.jpg" height="150px" > </div>Dependencies and Installation
# create new anaconda env
conda create -n mslt python=3.7 -y
conda activate mslt
# install python dependencies
pip3 install -r requirements.txt
Prepare Dataset
Download ME Dataset from [Baidu Disk] or [google drive] , unzip the file and put it in data/
Quick Inference
# Inference On ME Dataset
python SingleTest.py
Model Performance Testing
python test_model.py
Train MSLT
python Train.py
Citation
If this work is helpful for your research, please consider citing:
@inproceedings{zhou2024mslt,
title={4K-Resolution Photo Exposure Correction at 125 FPS with ~8K Parameters},
author={Zhou, Yijie and Li, Chao and Liang, Jin and Xu, Tianyi and Liu, Xin and Xu, Jun},
booktitle={Winter Conference on Applications of Computer Vision (WACV)},
year={2024}
}
Contact
If you have any questions, please feel free to reach me out at yjzhou@mail.nankai.edu.cn