Research map / Image generation / Image restoration
Generative Adaptive Convolutions for Real-World Noisy Image Denoising
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add DFGS to the encoder-decoder denoiser (ablation) | FADNet · Nam | PSNR: 35.29 -> 41.51 | Helped |
| Add Fourier transform guidance to dynamic filter generation (ablation) | FADNet · Nam | PSNR: 39.08 -> 41.51 | Helped |
| Add the spatial dynamic filter alongside the channel dynamic filter (ablation) | FADNet · Nam | PSNR: 40.06 -> 41.51 | Helped |
| Add the channel dynamic filter alongside the spatial dynamic filter (ablation) | FADNet · Nam | PSNR: 40.19 -> 41.51 | Helped |
| Use FADNet instead of NBNet | real-world image denoising · SIDD | PSNR (dB): 39.62 -> 39.96 | Helped |
| Use FADNet instead of NBNet | real-world image denoising · DND | PSNR (dB): 39.89 -> 40.17 | Helped |
Closest papers by meaning
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- Robust Image Denoising through Adversarial Frequency Mixup (CVPR 2024 · similarity 0.87)
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