3D fluid simulation on 3D smoke buoyancy 16-step prediction (test)
0.0843Density Avg ErrorDil-ResNet
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Dil-ResNetProtocol=AR (Auto-Regressive), Inference time (s)=27.49, Number of parameters (M)=6.92023.05 | 0.0843 | 0.107 | 0.2378 | 0.5372 | |
| FactFormerProtocol=LM (Latent Marching), Inference time (s)=2.62, Number of parameters (M)=4.62023.05 | 0.0942 | 0.0941 | 0.2592 | 0.4482 | |
| Dil-ResNetProtocol=LM (Latent Marching), Inference time (s)=6.94, Number of parameters (M)=6.92023.05 | 0.0999 | 0.1062 | 0.2747 | 0.5023 | |
| FactFormerProtocol=AR (Auto-Regressive), Inference time (s)=5.61, Number of parameters (M)=4.62023.05 | 0.1017 | 0.1693 | 0.3537 | 0.7881 | |
| F-FNO3DProtocol=AR (Auto-Regressive), Inference time (s)=6.35, Number of parameters (M)=3.02023.05 | 0.1038 | 0.1415 | 0.3419 | 0.8655 | |
| F-FNO3DProtocol=LM (Latent Marching), Inference time (s)=2.75, Number of parameters (M)=3.02023.05 | 0.1236 | 0.1219 | 0.3713 | 0.6146 | |
| FNO3DProtocol=LM (Latent Marching), Inference time (s)=1.47, Number of parameters (M)=509.82023.05 | 0.1344 | 0.1287 | 0.4255 | 0.6718 | |
| FNO3DProtocol=AR (Auto-Regressive), Inference time (s)=3.19, Number of parameters (M)=509.82023.05 | 0.1607 | 0.1775 | 0.5198 | 1.0245 |