Research map / Image generation / Super-resolution
Unsupervised Degradation Representation Learning for Blind Super-Resolution
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add contrastive degradation representation learning (ablation) | DASR · Set14, ×4 SR, isotropic kernel width 3.4 | PSNR: 26.79 -> 27.58 | Helped |
| Use degradation-aware convolutions instead of vanilla convolutions with concatenated degradation features (ablation) | DASR · Set14, ×4 SR, isotropic kernel width 3.4 | PSNR: 26.72 -> 27.58 | Helped |
| Add the channel-wise modulation branch to DA convolutions (ablation) | DASR · Set14, ×4 SR, isotropic kernel width 3.4 | PSNR: 27.33 -> 27.58 | Helped |
| Provide groundtruth degradation instead of the learned blind representation (ablation) | DASR · Set14, ×4 SR, isotropic kernel width 3.4 | PSNR: 27.58 -> 27.90 | Helped |
| Use DASR rather than IKC | Blind ×4 super-resolution · Set14, kernel width 3.6 | PSNR: 26.81 -> 27.45 | Helped |
| Use DASR rather than RCAN | Blind ×4 super-resolution · Set14, kernel width 1.2 | PSNR: 27.48 -> 28.45 | Helped |
| Use DASR rather than RCAN | Blind ×4 super-resolution · Set14, bicubic degradation (kernel width 0) | PSNR: 28.87 -> 28.50 | Hurt |
| Use DASR rather than IKC | Blind ×4 super-resolution · Set14, kernel width 1.2 | PSNR: 28.45 -> 28.28 | Hurt |
| Use degradation representation learning instead of predictor-based degradation estimation | Blind DASR versus SRMDNF + Predictor · Set14, ×4 SR, isotropic kernel width 3.4 | PSNR: 26.18 -> 27.58 | Helped |
Closest papers by meaning
- Unsupervised Degradation Representation Aware Transform for Real-World Blind Image Super-Resolution (AAAI 2025 · similarity 0.92)
- DORNet: A Degradation Oriented and Regularized Network for Blind Depth Super-Resolution (CVPR 2025 · similarity 0.89)
- Unsupervised Diffusion-Based Degradation Modeling for Real-World Super-Resolution (AAAI 2025 · similarity 0.89)
- CDFormer: When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution (CVPR 2024 · similarity 0.88)
- DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor (NeurIPS 2024 · similarity 0.88)
- Navigating Beyond Dropout: An Intriguing Solution towards Generalizable Image Super Resolution (CVPR 2024 · similarity 0.87)
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