Arbitrary-scale Super-resolution on DIV2K (val)
36.48PSNR (Y Channel)LIIF-RDN
Evaluation Results
| Method | Links | |
|---|---|---|
| LIIF-RDNScale=x22026.06 | 36.48 | |
| GB-LSR-Scalar-ASRScale=x22026.06 | 36.325 | |
| LTE-SwinIRScale=x22026.06 | 36.142 | |
| LTE-RDNScale=x22026.06 | 35.818 | |
| LTE-SwinIRScale=x32026.06 | 32.762 | |
| LIIF-RDNScale=x32026.06 | 32.735 | |
| GB-LSR-Scalar-ASRScale=x32026.06 | 32.661 | |
| LTE-RDNScale=x32026.06 | 32.506 | |
| LTE-SwinIRScale=x42026.06 | 30.894 | |
| LIIF-RDNScale=x42026.06 | 30.746 | |
| GB-LSR-Scalar-ASRScale=x42026.06 | 30.683 | |
| LTE-RDNScale=x42026.06 | 30.661 | |
| LTE-SwinIRScale=×6, Trainable parameters=12.53M2026.06 | 28.656 | |
| LIIF-RDNScale=×6, Trainable parameters=22.32M2026.06 | 28.466 | |
| LTE-RDNScale=×6, Trainable parameters=22.47M2026.06 | 28.442 | |
| GB-LSR-Scalar-ASRScale=×6, Trainable parameters=22.02M2026.06 | 28.408 | |
| LTE-SwinIRScale=×8, Trainable parameters=12.53M2026.06 | 27.298 | |
| LIIF-RDNScale=×8, Trainable parameters=22.32M2026.06 | 27.096 | |
| LTE-RDNScale=×8, Trainable parameters=22.47M2026.06 | 27.091 | |
| GB-LSR-Scalar-ASRScale=×8, Trainable parameters=22.02M2026.06 | 27.048 |