Awesome
LoFormer: Local Frequency Transformer for Image Deblurring (ACM MM 24)
Xintian Mao, Jiansheng Wang, Xingran Xie , Qingli Li and Wang Yan
Quick Run
Training
- Download GoPro training and testing data
- To train the LoFormer, run
cd LoFormer
./train_8gpu.sh Motion_Deblurring/Options/train_GoPro_LoformerLarge_600k_8gpu.yml
Evaluation
To test the pre-trained models of Deblur 百度网盘(提取码:ca3l) or GoogleDrive on your own images, run
python Motion_Deblurring/val.py
Core Code
FreqLC can be seen in LoFormer/FreqLC
Results
Results on GoPro, HIDE, Realblur test sets: 百度网盘(提取码:rcx5)
Citation
If you use , please consider citing:
@inproceedings{xintm2024LoFormer,
title = {LoFormer: Local Frequency Transformer for Image Deblurring},
author = {Xintian Mao, Jiansheng Wang, Xingran Xie, Qingli Li and Yan Wang},
booktitle = {Proc. ACM MM},
year = {2024}
}
Contact
If you have any question, please contact mxt_invoker1997@163.com
Our Related Works
- Deep Residual Fourier Transformation for Single Image Deblurring, arXiv 2021. Paper | Code
- Intriguing Findings of Frequency Selection for Image Deblurring, AAAI 2023. Paper | Code
- AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring, CVPR 2024. Paper | Code
Reference Code:
- https://github.com/megvii-research/NAFNet
- https://github.com/INVOKERer/DeepRFT/tree/AAAI2023
- https://github.com/swz30/Restormer
Acknowledgment: This code is based on the BasicSR toolbox.