1D Super-resolution on 1D Super-resolution data
0.0188Mean RMSEWiener-Chaos
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Wiener-ChaosResolution=64, Zero-shot=true, Training Resolution=322026.05 | 0.0188 | 0.0011 | |
| SDENO-styleResolution=64, Zero-shot=true, Training Resolution=322026.05 | 0.0198 | 0.0011 | |
| MNOResolution=64, Zero-shot=true, Training Resolution=322026.05 | 0.0205 | 0.0013 | |
| Wiener-ChaosResolution=32, Zero-shot=true, Training Resolution=322026.05 | 0.0372 | 0.0013 | |
| SDENO-styleResolution=32, Zero-shot=true, Training Resolution=322026.05 | 0.0385 | 0.0013 | |
| MNOResolution=32, Zero-shot=true, Training Resolution=322026.05 | 0.039 | 0.0012 | |
| SDENO-styleResolution=128, Zero-shot=true, Training Resolution=322026.05 | 0.0397 | 0.0021 | |
| MNOResolution=128, Zero-shot=true, Training Resolution=322026.05 | 0.0407 | 0.0025 | |
| Wiener-ChaosResolution=128, Zero-shot=true, Training Resolution=322026.05 | 0.0409 | 0.0027 | |
| Neural SPDEResolution=32, Zero-shot=true, Training Resolution=322026.05 | 0.1023 | 0.002 | |
| Neural SPDEResolution=64, Zero-shot=true, Training Resolution=322026.05 | 0.1403 | 0.0013 | |
| Neural SPDEResolution=128, Zero-shot=true, Training Resolution=322026.05 | 0.1957 | 0.0011 |