When Fast Fourier Transform Meets Transformer for Image Restoration

[When Fast Fourier Transform Meets Transformer for Image Restoration] (ECCV 2024)

Official implementation.

Authors

Xingyu Jiang, Xiuhui Zhang, Ning Gao, Yue Deng *

School of Astronautics, Beihang University, Beijing, China

News

Thanks for your interest in our work, we will continue to optimize our code. If you have any other questions, please feel free to raise them in the issues, and I will try my best to address them!

May 20, 2025: Our extension work SWFormer: "Image Restoration via Multi-domain Learning" of SFHformer is available at https://arxiv.org/pdf/2505.05504. Github Code: https://github.com/deng-ai-lab/SWFormer.

Our extension work SWFormer: of SFHformer is available at https://arxiv.org/pdf/2505.05504. Github Code: https://github.com/deng-ai-lab/SWFormer. Apr 11, 2025: We release some visualizations of the dataset in the Visual result section.

We release some visualizations of the dataset in the Visual result section. Mar 27, 2025: We release the pre-training weights of ITS and OTS with the test code in the dehazing folder.

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