Image Super Resolution On Set5 4X Upscaling
Metriken
PSNR
SSIM
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | PSNR | SSIM |
|---|---|---|
| mair-a-locality-and-continuity-preserving | 33.14 | 0.9058 |
| image-super-resolution-using-deep | 30.49 | 0.8628 |
| channel-partitioned-windowed-attention-and | 33.24 | 0.9071 |
| ml-craist-multi-scale-low-high-frequency | 32.36 | 0.8984 |
| photo-realistic-single-image-super-resolution | 29.4 | 0.8472 |
| enhanced-deep-residual-networks-for-single | 32.46 | 0.8968 |
| mair-a-locality-and-continuity-preserving | 32.93 | 0.9045 |
| ml-craist-multi-scale-low-high-frequency | 32.15 | 0.8962 |
| channel-partitioned-windowed-attention-and | 33.19 | 0.9069 |
| activating-more-pixels-in-image-super | 33.30 | 0.9083 |
| hierarchical-information-flow-for-generalized | 33.22 | 0.9103 |
| hmanet-hybrid-multi-axis-aggregation-network | 33.38 | 0.9089 |