Image Super-Resolution on Set5 classic (test)
0.061LPIPSSeD
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| SeDGenerator Backbone=SwinIR, Discriminator Architecture=PatchGAN + SeD2024.02 | 0.061 | 31.44 | 0.87 | |
| SeDGenerator Backbone=RRDB, Discriminator Architecture=PatchGAN + SeD2024.02 | 0.064 | 31.22 | 0.867 | |
| U-NetGenerator Backbone=SwinIR, Discriminator Architecture=U-Net2024.02 | 0.064 | 31.38 | 0.869 | |
| LDLGenerator Backbone=SwinIR2024.02 | 0.065 | 31.03 | 0.861 | |
| SeDGenerator Backbone=SwinIR, Discriminator Architecture=U-Net + SeD2024.02 | 0.067 | 31.64 | 0.874 | |
| DualFormerGenerator Backbone=RRDB2024.02 | 0.068 | 31.4 | 0.872 | |
| LDLGenerator Backbone=RRDB2024.02 | 0.069 | 31.03 | 0.861 | |
| SeDGenerator Backbone=RRDB, Discriminator Architecture=U-Net + SeD2024.02 | 0.069 | 31.73 | 0.88 | |
| PatchGANGenerator Backbone=RRDB, Discriminator Architecture=PatchGAN2024.02 | 0.07 | 30.67 | 0.86 | |
| PatchGANGenerator Backbone=SwinIR, Discriminator Architecture=PatchGAN2024.02 | 0.07 | 31.49 | 0.876 | |
| U-NetGenerator Backbone=RRDB, Discriminator Architecture=U-Net2024.02 | 0.072 | 31.13 | 0.869 | |
| ESRGANGenerator Backbone=ESRGAN2024.02 | 0.076 | 30.44 | 0.852 | |
| USRGANGenerator Backbone=USRGAN2024.02 | 0.079 | 30.91 | 0.866 | |
| SFTGANGenerator Backbone=SFTGAN2024.02 | 0.08 | 30.06 | 0.848 |