Research map / Image generation / Image restoration
Single Image Reflection Separation With Perceptual Losses
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add feature loss (ablation) | Ours · CEILNet synthetic | PSNR: 18.24 -> 22.63 | Helped |
| Add feature loss (ablation) | Ours · Real test set | PSNR: 19.07 -> 21.30 | Helped |
| Add adversarial loss (ablation) | Ours · CEILNet synthetic | PSNR: 20.80 -> 22.63 | Helped |
| Add adversarial loss (ablation) | Ours · Real test set | PSNR: 21.12 -> 21.30 | Helped |
| Add exclusion loss (ablation) | Ours · CEILNet synthetic | PSNR: 19.58 -> 22.63 | Helped |
| Add exclusion loss (ablation) | Ours · Real test set | PSNR: 20.22 -> 21.30 | Helped |
| Use feature, adversarial, and exclusion losses instead of adversarial loss alone (ablation) | Ours · CEILNet synthetic | PSNR: 18.05 -> 22.63 | Helped |
| Use feature, adversarial, and exclusion losses instead of adversarial loss alone (ablation) | Ours · Real test set | PSNR: 19.52 -> 21.30 | Helped |
| Use Ours rather than CEILNet | Reflection separation · User study comparisons | Preference rate: 84.2% | Helped |
| Use Ours rather than Li and Brown | Reflection separation · User study comparisons | Preference rate: 87.8% | Helped |
Closest papers by meaning
- Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements (CVPR 2019 · similarity 0.91)
- Single Image Reflection Removal Beyond Linearity (CVPR 2019 · similarity 0.89)
- Language-guided Image Reflection Separation (CVPR 2024 · similarity 0.87)
- Revisiting Single Image Reflection Removal In the Wild (CVPR 2024 · similarity 0.87)
- Single Image Reflection Separation via Dual-Stream Interactive Transformers (NeurIPS 2024 · similarity 0.86)
- FIRM: Flexible Interactive Reflection ReMoval (AAAI 2025 · similarity 0.86)
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