Arbitrary-scale Super-resolution on Set5 (PSNR-Y)
38.181PSNR-YLIIF-RDN
Evaluation Results
| Method | Links | |
|---|---|---|
| LIIF-RDNScale=x22026.06 | 38.181 | |
| GB-LSR-Scalar-ASRScale=x22026.06 | 38.09 | |
| LTE-SwinIRScale=x22026.06 | 37.901 | |
| LTE-RDNScale=x22026.06 | 37.705 | |
| LTE-SwinIRScale=x32026.06 | 34.687 | |
| LIIF-RDNScale=x32026.06 | 34.673 | |
| LTE-RDNScale=x32026.06 | 34.507 | |
| GB-LSR-Scalar-ASRScale=x32026.06 | 34.397 | |
| LTE-SwinIRScale=x42026.06 | 32.768 | |
| LIIF-RDNScale=x42026.06 | 32.519 | |
| LTE-RDNScale=x42026.06 | 32.489 | |
| GB-LSR-Scalar-ASRScale=x42026.06 | 32.237 | |
| LTE-SwinIRScale=×6, Trainable parameters=12.53M2026.06 | 29.575 | |
| LTE-RDNScale=×6, Trainable parameters=22.47M2026.06 | 29.226 | |
| LIIF-RDNScale=×6, Trainable parameters=22.32M2026.06 | 29.199 | |
| GB-LSR-Scalar-ASRScale=×6, Trainable parameters=22.02M2026.06 | 28.899 | |
| LTE-SwinIRScale=×8, Trainable parameters=12.53M2026.06 | 27.442 | |
| LTE-RDNScale=×8, Trainable parameters=22.47M2026.06 | 27.195 | |
| LIIF-RDNScale=×8, Trainable parameters=22.32M2026.06 | 27.165 | |
| GB-LSR-Scalar-ASRScale=×8, Trainable parameters=22.02M2026.06 | 26.966 |