Video Prediction on Cityscapes
95.99MS-SSIM (t+1)SADM
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| SADMInput=RGB+S+F2024.10 | 95.99 | — | 83.51 | 7.67 | — | 14.93 | |
| DMVFNInput=RGB2024.10 | 95.73 | 89.24 | 83.45 | 5.58 | 10.47 | 14.82 | |
| motion graphInput=RGB2024.10 | 94.85 | 87.82 | 82.11 | 4.13 | 8.12 | 11.7 | |
| OPTInput=RGB2024.10 | 94.54 | 86.89 | 80.4 | 6.46 | 12.5 | 17.83 | |
| CorrWiseInput=RGB2024.10 | 92.8 | — | 83.9 | 8.5 | — | 15 | |
| MCNetInput=RGB2024.10 | 89.69 | 78.07 | 70.58 | 18.88 | 31.34 | 37.34 | |
| FVSInput=RGB+S+I2024.10 | 89.1 | 81.13 | 75.68 | 8.5 | 12.98 | 16.5 | |
| Seg2vidInput=RGB+S2024.10 | 88.32 | — | 61.63 | 9.69 | — | 25.99 | |
| Vid2vidInput=RGB+S2024.10 | 88.16 | 80.55 | 75.13 | 10.58 | 15.92 | 20.14 | |
| PredNetInput=RGB2024.10 | 84.03 | 79.25 | 75.21 | 25.99 | 29.99 | 36.03 | |
| DVFInput=RGB2024.10 | 83.85 | 76.23 | 71.11 | 17.37 | 24.05 | 28.79 |