Jpeg Artifact Correction On Classic5 Quality 2
Metriken
PSNR
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | PSNR |
|---|---|
| beyond-a-gaussian-denoiser-residual-learning | 32.91 |
| hierarchical-information-flow-for-generalized | 33.8 |
| quantization-guided-jpeg-artifact-correction | 33.22 |
| multi-level-wavelet-cnn-for-image-restoration | 33.43 |
| towards-flexible-blind-jpeg-artifacts-removal | 33.54 |
| residual-dense-network-for-image-restoration | 33.46 |