Jpeg Artifact Correction On Live1 Quality 40
Metriken
PSNR
SSIM
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | PSNR | SSIM |
|---|---|---|
| residual-dense-network-for-image-restoration | 34.54 | 0.9304 |
| towards-flexible-blind-jpeg-artifacts-removal | 34.53 | 0.931 |
| multi-level-wavelet-cnn-for-image-restoration | 34.45 | - |
| hierarchical-information-flow-for-generalized | 34.71 | 0.9347 |
| beyond-a-gaussian-denoiser-residual-learning | 33.96 | - |