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Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use dense blocks instead of residual blocks in generator (ablation) | RR-GAN · Rain800 | PSNR: 22.82 -> 23.51 | Helped |
| use deeply supervised multiscale discriminator instead of last-layer supervision (ablation) | RR-GAN · Rain800 | PSNR: 21.43 -> 23.51 | Helped |
| add adversarial loss to MSE reconstruction loss (ablation) | RR-GAN · sample image | PSNR: 17.08 -> 23.51 | Helped |
| add MSE reconstruction loss to adversarial loss (ablation) | RR-GAN · sample image | PSNR: 21.33 -> 23.51 | Helped |
| use unpaired instead of paired rain/clean training images (ablation) | RR-GAN · Rain100H split 2 | PSNR: 23.79 -> 23.51 | Hurt |
| use attention memory in generator (ablation) | RR-GAN generator · qualitative (Fig 3) | visual quality | Helped |
Closest papers by meaning
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