Table 3.
Short- and long-term prediction of 3D body poses on CMU-Mocap. All results are in millimeters. The best results are marked in bold.
| Time (ms) | 80 | 160 | 320 | 400 | 560 | 1000 |
|---|---|---|---|---|---|---|
| Res. sup. [17] | 24.0 | 43.0 | 74.5 | 87.2 | 105.5 | 136.3 |
| convSeq2Seq [11] | 12.5 | 22.2 | 40.7 | 49.7 | — | 84.6 |
| DMGNN [13] | 13.6 | 24.1 | 47.0 | 58.8 | 77.4 | 112.6 |
| LTD [25] | 9.3 | 17.1 | 33.0 | 40.9 | 55.8 | 86.2 |
| LPJP [44] | 9.8 | 17.6 | 35.7 | 45.1 | - | 93.2 |
| MSR [49] | 8.1 | 15.2 | 30.6 | 38.6 | 53.7 | 83.0 |
| ST-DGCN [45] | 7.6 | 14.3 | 29.0 | 36.6 | 50.9 | 80.1 |
| Our model (DA-MgTCN) | 7.5 | 14.0 | 28.1 | 34.8 | 49.0 | 77.4 |