Future Frame Prediction on RoboNet 2 -> 10 frames
0.856SSIMSimVPv2
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SimVPv2Input Frames=2, Predicted Frames=102022.11 | 0.856 | 22.78 | |
| SimVPInput Frames=2, Predicted Frames=102022.11 | 0.854 | 22.73 | |
| PredRNNInput Frames=2, Predicted Frames=102022.11 | 0.85 | 22.63 | |
| PredRNN++Input Frames=2, Predicted Frames=102022.11 | 0.849 | 22.66 | |
| PredRNNv2Input Frames=2, Predicted Frames=102022.11 | 0.847 | 22.52 | |
| MAUInput Frames=2, Predicted Frames=102022.11 | 0.843 | 22.4 | |
| ConvLSTMInput Frames=2, Predicted Frames=102022.11 | 0.836 | 22.15 | |
| E3D-LSTMInput Frames=2, Predicted Frames=102022.11 | 0.827 | 21.82 | |
| PhyDNetInput Frames=2, Predicted Frames=102022.11 | 0.797 | 20.92 |