Research map / Image generation / Image restoration
Fourmer: An Efficient Global Modeling Paradigm for Image Restoration
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add Fourier Prior Embedded (FPE) block in place of GPPNN basic blocks (ablation) | GPPNN · WorldView II | PSNR: 41.1622 -> 41.4513 | Helped |
| add Fourier Spatial Interaction (ablation) | Fourmer · WorldView II | PSNR: 41.8325 -> 41.4513 without FSI | Helped |
| add Fourier Channel Evolution (ablation) | Fourmer · WorldView II | PSNR: 41.8325 -> 41.5823 without FCE | Helped |
| increase hierarchical stages from 1 to 4 (ablation) | Fourmer U-shape network · WorldView II | PSNR: 41.1827 -> 41.8325 | Helped |
| add frequency-domain loss (amplitude and phase L1) (ablation) | Fourmer · WorldView II | PSNR: 41.7840 -> 41.8325 | Helped |
| full Fourmer vs baselines on de-raining, enhancement, dehazing, pan-sharpening | Fourmer · multiple benchmarks | PSNR | Helped |
| Fourmer uses far fewer parameters/GFLOPs than strongest transformer/MLP baselines | Fourmer · Dehazing SOTS | GFLOPs: 20.6 vs AECR-Net 43.0 | Helped |
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- IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model (NeurIPS 2024 · similarity 0.85)
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