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PWC PWC PWC PWC

Xintian Mao, Jiansheng Wang, Xingran Xie , Qingli Li and Wang Yan

Quick Run

Training

  1. Download GoPro training and testing data
  2. 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 [email protected]

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:

Acknowledgment: This code is based on the BasicSR toolbox.

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