Jpeg Artifact Correction On Classic5 Quality 3
Metriken
PSNR
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | PSNR |
|---|---|
| beyond-a-gaussian-denoiser-residual-learning | 33.77 |
| residual-dense-network-for-image-restoration | 34.29 |
| hierarchical-information-flow-for-generalized | 34.61 |
| multi-level-wavelet-cnn-for-image-restoration | 34.27 |
| towards-flexible-blind-jpeg-artifacts-removal | 34.35 |