Super-Resolution on General100 (test)
0.074LPIPSSwinIR + LDL
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| SwinIR + LDLBackbone=SwinIR, Training Dataset=DF2K, Scaling Factor=4x2022.03 | 0.074 | 0.0794 | 25.304 | 30.441 | 83.47 | |
| RRDB + LDLBackbone=RRDB, Training Dataset=DIV2K, Scaling Factor=4x2022.03 | 0.079 | 0.0827 | 27.506 | 30.232 | 82.77 | |
| RRDB + LDLBackbone=RRDB, Training Dataset=DF2K, Scaling Factor=4x2022.03 | 0.0796 | 0.0801 | 27.211 | 30.289 | 82.8 | |
| SwinIR + LGANBackbone=SwinIR, Training Dataset=DF2K, Scaling Factor=4x2022.03 | 0.0796 | 0.0835 | 27.557 | 30.104 | 83.05 | |
| SPSRBackbone=RRDB, Training Dataset=DIV2K, Scaling Factor=4x2022.03 | 0.0862 | 0.0884 | 30.159 | 29.424 | 80.91 | |
| ESRGANBackbone=RRDB, Training Dataset=DF2K + OST, Scaling Factor=4x2022.03 | 0.0879 | 0.0874 | 29.843 | 29.425 | 80.95 | |
| SRResNet + LDLBackbone=SRResNet-like, Training Dataset=DIV2K, Scaling Factor=4x2022.03 | 0.0898 | 0.0939 | 32.737 | 29.775 | 81.64 | |
| USRGANBackbone=RRDB, Training Dataset=DF2K, Scaling Factor=4x2022.03 | 0.0937 | 0.0931 | 32.959 | 30.001 | 82.41 | |
| SFTGANBackbone=SRResNet-like, Training Dataset=ImageNet + OST, Scaling Factor=4x2022.03 | 0.0947 | 0.0992 | 36.845 | 29.159 | 80.6 | |
| SRGANBackbone=SRResNet-like, Training Dataset=DIV2K, Scaling Factor=4x2022.03 | 0.0964 | 0.0982 | 33.868 | 29.327 | 80.74 |