Deblurring On Based
Metrics
ERQAv2.0
LPIPS
PSNR
SSIM
Subjective
VMAF
Results
Performance results of various models on this benchmark
Model Name | ERQAv2.0 | LPIPS | PSNR | SSIM | Subjective | VMAF | Paper Title | Repository |
|---|---|---|---|---|---|---|---|---|
| Deeprft (GoPro) | 0.74323 | 0.08326 | 31.57612 | 0.94484 | 0.5354 | 66.55057 | Intriguing Findings of Frequency Selection for Image Deblurring | - |
| VRT (GoPro) | 0.74874 | 0.08165 | 31.42945 | 0.94503 | 2.3854 | 66.72253 | VRT: A Video Restoration Transformer | - |
| MAXIM (REDS) | 0.74277 | 0.07836 | - | 0.94959 | 1.0081 | 67.3502 | MAXIM: Multi-Axis MLP for Image Processing | - |
| VRT (REDS) | 0.75056 | 0.08248 | 30.97878 | 0.94601 | 1.5660 | 66.81782 | VRT: A Video Restoration Transformer | - |
| Restormer local | 0.73875 | 0.08251 | 31.12341 | 0.94217 | 0.1231 | 65.25911 | Restormer: Efficient Transformer for High-Resolution Image Restoration | - |
| NAFNet (REDS) | 0.74508 | 0.08561 | 30.54803 | 0.95035 | 2.8405 | 66.85941 | Simple Baselines for Image Restoration | - |
| Restormer | 0.74776 | 0.08239 | 31.76111 | 0.94632 | 0.1175 | 66.3964 | Restormer: Efficient Transformer for High-Resolution Image Restoration | - |
| Deeprft (REDS) | 0.74339 | 0.08139 | 31.32349 | 0.94479 | 0.4622 | 66.46811 | Intriguing Findings of Frequency Selection for Image Deblurring | - |
| DeblurGAN Inception | - | - | - | - | 1.0375 | - | DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better | - |
| MAXIM (GoPro) | - | 0.09188 | 31.36344 | 0.94386 | 0.2070 | 67.7557 | MAXIM: Multi-Axis MLP for Image Processing | - |
| MPR local | 0.74521 | 0.08323 | 31.65037 | 0.94542 | 0.4407 | 67.01788 | Improving Image Restoration by Revisiting Global Information Aggregation | - |
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