Autoencoding on PDEBench RDB (val)
1.28MSEMSE+SSIM
Evaluation Results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| MSE+SSIMAutoencoder=MBT-ND2025.04 | 1.28 | 99.984 | 0.67 | 344.8 | 7.1 | 0.43 | 4.1 | |
| MSE+L1Autoencoder=MBT-ND2025.04 | 1.31 | 99.976 | 0.478 | 320.8 | 7.4 | 0.79 | 3.1 | |
| MSE+SpectralAutoencoder=MBT-ND2025.04 | 1.38 | 99.975 | 0.561 | 365.7 | 7.5 | 0.59 | 4.6 | |
| MSE+FDSEAutoencoder=MBT-ND2025.04 | 1.52 | 99.975 | 0.392 | 362.9 | 9.2 | 0.57 | 3.3 | |
| MSE+GradMagAutoencoder=MBT-ND2025.04 | 1.63 | 99.97 | 0.476 | 431.8 | 8.9 | 0.53 | 2.4 | |
| MSE+TVAutoencoder=MBT-ND2025.04 | 1.78 | 99.969 | 0.372 | 389.6 | 9.7 | 0.84 | 2.9 | |
| MSEAutoencoder=MBT-ND2025.04 | 2.07 | 99.964 | 0.59 | 421.5 | 1.2 | — | 3.3 | |
| MSE+LaplacianAutoencoder=MBT-ND2025.04 | 7.87 | 99.79 | 0.533 | 789.2 | 3.5 | 1.23 | 2.7 |