Papers › LoFormer: Local Frequency Transformer for Image Deblurring
LoFormer: Local Frequency Transformer for Image Deblurring
Xintian Mao, Jiansheng Wang, Xingran Xie, Qingli Li, Yan Wang
Due to the computational complexity of self-attention (SA), prevalent techniques for image deblurring often resort to either adopting localized SA or employing coarse-grained global SA methods, both of which exhibit drawbacks such as compromising global modeling or lacking fine-grained correlation. In order to address this issue by effectively modeling long-range dependencies without sacrificing fine-grained details, we introduce a novel approach termed Local Frequency Transformer (LoFormer). Within each unit of LoFormer, we incorporate a Local Channel-wise SA in the frequency domain (Freq-LC) to simultaneously capture cross-covariance within low- and high-frequency local windows. These operations offer the advantage of (1) ensuring equitable learning opportunities for both coarse-grained structures and fine-grained details, and (2) exploring a broader range of representational properties compared to coarse-grained global SA methods. Additionally, we introduce an MLP Gating mechanism complementary to Freq-LC, which serves to filter out irrelevant features while enhancing global learning capabilities. Our experiments demonstrate that LoFormer significantly improves performance in the image deblurring task, achieving a PSNR of 34.09 dB on the GoPro dataset with 126G FLOPs. https://github.com/DeepMed-Lab-ECNU/Single-Image-Deblur
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Deblurring | HIDE (trained on GOPRO) | LoFormer | PSNR (sRGB) | 31.86 | #5 of 26 | Archive leaderboard | report |
| Deblurring | HIDE (trained on GOPRO) | LoFormer | SSIM (sRGB) | 0.949 | #5 of 26 | Archive leaderboard | report |
| Deblurring | RealBlur-J | LoFormer | PSNR (sRGB) | 32.90 | #6 of 17 | Archive leaderboard | report |
| Deblurring | RealBlur-J | LoFormer | SSIM (sRGB) | 0.933 | #6 of 17 | Archive leaderboard | report |
| Deblurring | RealBlur-R | LoFormer | PSNR (sRGB) | 40.23 | #7 of 17 | Archive leaderboard | report |
| Deblurring | RealBlur-R | LoFormer | SSIM (sRGB) | 0.974 | #7 of 17 | Archive leaderboard | report |
| Image Deblurring | GoPro | LoFormer | PSNR | 34.09 | #5 of 55 | Archive leaderboard | report |
| Image Deblurring | GoPro | LoFormer | SSIM | 0.969 | #5 of 55 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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