Blind All In One Image Restoration On 5
Métriques
Average PSNR
SSIM
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Average PSNR | SSIM | Paper Title | Repository |
|---|---|---|---|---|
| AdaIR | 30.20 | 0.910 | AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation | |
| DaAIR | 30.24 | 0.910 | Efficient Degradation-aware Any Image Restoration | - |
| MoCE-IR | 30.58 | 0.919 | Complexity Experts are Task-Discriminative Learners for Any Image Restoration | - |
| AnyIR | 29.65 | 0.901 | Restore Anything Model via Efficient Degradation Adaptation | - |
| HAIR | 30.37 | 0.914 | HAIR: Hypernetworks-based All-in-One Image Restoration | |
| AirNet | 25.49 | 0.846 | All-in-One Image Restoration for Unknown Corruption | |
| IDR | 28.34 | 0.893 | Ingredient-Oriented Multi-Degradation Learning for Image Restoration | |
| DA-RCOT | 30.40 | 0.911 | Degradation-Aware Residual-Conditioned Optimal Transport for Unified Image Restoration | |
| ABAIR | 31.25 | 0.921 | Adaptive Blind All-in-One Image Restoration |
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