Arbitrary-scale Super-resolution on Urban100 (PSNR-Y)
24.679PSNR-YLTE-SwinIR
Evaluation Results
| Method | Links | |
|---|---|---|
| LTE-SwinIRScale=×6, Trainable parameters=12.53M2026.06 | 24.679 | |
| LTE-RDNScale=×6, Trainable parameters=22.47M2026.06 | 24.194 | |
| LIIF-RDNScale=×6, Trainable parameters=22.32M2026.06 | 24.186 | |
| GB-LSR-Scalar-ASRScale=×6, Trainable parameters=22.02M2026.06 | 24.024 | |
| LTE-SwinIRScale=×8, Trainable parameters=12.53M2026.06 | 23.231 | |
| LTE-RDNScale=×8, Trainable parameters=22.47M2026.06 | 22.801 | |
| LIIF-RDNScale=×8, Trainable parameters=22.32M2026.06 | 22.786 | |
| GB-LSR-Scalar-ASRScale=×8, Trainable parameters=22.02M2026.06 | 22.686 |