Deblurring On Based
평가 지표
ERQAv2.0
LPIPS
PSNR
SSIM
Subjective
VMAF
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | ERQAv2.0 | LPIPS | PSNR | SSIM | Subjective | VMAF |
|---|---|---|---|---|---|---|
| deep-residual-fourier-transformation-for | 0.74323 | 0.08326 | 31.57612 | 0.94484 | 0.5354 | 66.55057 |
| vrt-a-video-restoration-transformer | 0.74874 | 0.08165 | 31.42945 | 0.94503 | 2.3854 | 66.72253 |
| maxim-multi-axis-mlp-for-image-processing | 0.74277 | 0.07836 | - | 0.94959 | 1.0081 | 67.3502 |
| vrt-a-video-restoration-transformer | 0.75056 | 0.08248 | 30.97878 | 0.94601 | 1.5660 | 66.81782 |
| restormer-efficient-transformer-for-high | 0.73875 | 0.08251 | 31.12341 | 0.94217 | 0.1231 | 65.25911 |
| simple-baselines-for-image-restoration | 0.74508 | 0.08561 | 30.54803 | 0.95035 | 2.8405 | 66.85941 |
| restormer-efficient-transformer-for-high | 0.74776 | 0.08239 | 31.76111 | 0.94632 | 0.1175 | 66.3964 |
| deep-residual-fourier-transformation-for | 0.74339 | 0.08139 | 31.32349 | 0.94479 | 0.4622 | 66.46811 |
| deblurgan-v2-deblurring-orders-of-magnitude | - | - | - | - | 1.0375 | - |
| maxim-multi-axis-mlp-for-image-processing | - | 0.09188 | 31.36344 | 0.94386 | 0.2070 | 67.7557 |
| revisiting-global-statistics-aggregation-for | 0.74521 | 0.08323 | 31.65037 | 0.94542 | 0.4407 | 67.01788 |