Arbitrary-scale Super-resolution on B100 (PSNR-Y)
32.323PSNR-YLIIF-RDN
Evaluation Results
| Method | Links | |
|---|---|---|
| LIIF-RDNScale=x22026.06 | 32.323 | |
| LTE-SwinIRScale=x22026.06 | 32.297 | |
| GB-LSR-Scalar-ASRScale=x22026.06 | 32.248 | |
| LTE-RDNScale=x22026.06 | 32.089 | |
| LTE-SwinIRScale=x32026.06 | 29.318 | |
| LIIF-RDNScale=x32026.06 | 29.269 | |
| LTE-RDNScale=x32026.06 | 29.168 | |
| GB-LSR-Scalar-ASRScale=x32026.06 | 29.154 | |
| LTE-SwinIRScale=x42026.06 | 27.864 | |
| LIIF-RDNScale=x42026.06 | 27.752 | |
| LTE-RDNScale=x42026.06 | 27.719 | |
| GB-LSR-Scalar-ASRScale=x42026.06 | 27.673 | |
| LTE-SwinIRScale=×6, Trainable parameters=12.53M2026.06 | 26.109 | |
| LIIF-RDNScale=×6, Trainable parameters=22.32M2026.06 | 25.987 | |
| LTE-RDNScale=×6, Trainable parameters=22.47M2026.06 | 25.987 | |
| GB-LSR-Scalar-ASRScale=×6, Trainable parameters=22.02M2026.06 | 25.93 | |
| LTE-SwinIRScale=×8, Trainable parameters=12.53M2026.06 | 25.057 | |
| LTE-RDNScale=×8, Trainable parameters=22.47M2026.06 | 24.933 | |
| LIIF-RDNScale=×8, Trainable parameters=22.32M2026.06 | 24.92 | |
| GB-LSR-Scalar-ASRScale=×8, Trainable parameters=22.02M2026.06 | 24.885 |