Shihao Zhou, Jinshan Pan, Jinglei Shi, Duosheng Chen, Lishen Qu and Jufeng Yang

• Jul 13, 2025: Hugging Face Demo is available now, thanks contribution of Sen
• Jul 02, 2024: FPro has been accepted to ECCV 2024 🎉

To train FPro on SPAD, you can run:

./train.sh Deraining/Options/Deraining_FPro_spad.yml

To train FPro on SOTS, you can run:

./train.sh Dehaze/Options/RealDehazing_FPro.yml

To train FPro on GoPro, you can run:

./train.sh Motion_Deblurring/Options/Deblurring_FPro.yml

To train FPro on AGAN, you can run:

./train.sh Deraining/Options/RealDeraindrop_FPro.yml

To train FPro on TIP18, you can run:

./train.sh Demoiring/Options/RealDemoiring_FPro.yml

To evaluate FPro, you can refer commands in 'test.sh'

For evaluate on each dataset, you should uncomment corresponding line.

Experiments are performed for different image processing tasks including, rain streak removal, raindrop removal, haze removal, motion blur removal, and moire pattern removal. Here is a summary table containing hyperlinks for easy navigation:

If you find this project useful, please consider citing:

@inproceedings{zhou_ECCV2024_FPro,
  title={Seeing the Unseen: A Frequency Prompt Guided Transformer for Image Restoration},
  author={Zhou, Shihao and Pan, Jinshan and Shi, Jinglei and Chen, Duosheng and Qu, Lishen and Yang, Jufeng},
  booktitle={ECCV},
  year={2024}
}

This code borrows heavily from Restormer.