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:

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