Super-resolution on Set14 (PSNR-Y)
34.005PSNR-YLIIF-RDN
Evaluation Results
| Method | Links | |
|---|---|---|
| LIIF-RDNScale=x22026.06 | 34.005 | |
| GB-LSR-Scalar-ASRScale=x22026.06 | 33.85 | |
| LTE-SwinIRScale=x22026.06 | 33.725 | |
| LTE-RDNScale=x22026.06 | 33.475 | |
| LTE-SwinIRScale=x32026.06 | 30.638 | |
| LIIF-RDNScale=x32026.06 | 30.533 | |
| GB-LSR-Scalar-ASRScale=x32026.06 | 30.429 | |
| LTE-RDNScale=x32026.06 | 30.387 | |
| LTE-SwinIRScale=x42026.06 | 29.002 | |
| LIIF-RDNScale=x42026.06 | 28.839 | |
| LTE-RDNScale=x42026.06 | 28.803 | |
| GB-LSR-Scalar-ASRScale=x42026.06 | 28.746 | |
| LTE-SwinIRScale=×6, Trainable parameters=12.53M2026.06 | 26.865 | |
| LTE-RDNScale=×6, Trainable parameters=22.47M2026.06 | 26.669 | |
| LIIF-RDNScale=×6, Trainable parameters=22.32M2026.06 | 26.659 | |
| GB-LSR-Scalar-ASRScale=×6, Trainable parameters=22.02M2026.06 | 26.522 | |
| LTE-SwinIRScale=×8, Trainable parameters=12.53M2026.06 | 25.413 | |
| LTE-RDNScale=×8, Trainable parameters=22.47M2026.06 | 25.178 | |
| LIIF-RDNScale=×8, Trainable parameters=22.32M2026.06 | 25.157 | |
| GB-LSR-Scalar-ASRScale=×8, Trainable parameters=22.02M2026.06 | 25.031 |