This is the official PyTorch codes for the paper.
MSF$^2$DN: Mutil Scale Feature Fusion Dehazing Network with Dense Connection
Guangfa Wang, Xiaokang Yu* (* indicates corresponding author)
The 16th Asian Conference on Computer Vision, ACCV2022
Downloading checkpoints
Model | Description | 🔗 Download Links |
---|---|---|
MSF$^2$DN | Mutil Scale Feature Fusion Dehazing Network with Dense Connection | [Baidu Disk (pwd: 5z34)] |
Run demos to process the images in dir ./text_image/
by following command, before this, you should input the right path in dehaze.py:
python dehaze.py
Train our MSF$^2$DN, before this, you should input the right path in the corresponding files. In the dataloader.py, you should configure the right name of picture and then run the following command:
python train.py
If you find our repo useful for your research, please cite us:
@InProceedings{Wang2022ACCV,
author = {Wang, Guangfa and Yu, Xiaokang},
title = {MSF\${\textasciicircum}2\$DN:Multi Scale Feature Fusion Dehazing Network with Dense connection},
booktitle = {Proceedings of the Asian Conference on Computer Vision (ACCV)},
month = {December},
year = {2022},
pages = {2950-2966}
}
This repository is maintained by Guangfa Wang.