notesum.ai
Published at November 25SMGDiff: Soccer Motion Generation using diffusion probabilistic models
cs.CV
Released Date: November 25, 2024
Authors: Hongdi Yang1, Chengyang Li1, Zhenxuan Wu1, Gaozheng Li1, Jingya Wang1, Jingyi Yu1, Zhuo Su2, Lan Xu1
Aff.: 1ShanghaiTech University; 2ByteDance

| Motion Quality | Condition Alignment | ||||||
|---|---|---|---|---|---|---|---|
| Method | FID | Ft. Slid. | Accel. | Div. | Traj. Err. | Orient. Err. | Skill Acc. |
| LMP [57] | 0.3541 | 1.0678 | 1.6070 | 0.3980 | 4.1156 | 6.4932 | 73.3% |
| MANN-DP [72, 59] | 0.3593 | 1.3507 | 1.5652 | 0.4753 | 4.0690 | 5.2985 | 69.1% |
| CM [60] | 0.2494 | 1.6498 | 1.1752 | 0.3520 | 3.1034 | 5.0663 | 52.9% |
| Ours | 0.1813 | 0.8543 | 1.1999 | 0.6177 | 2.4132 | 4.9393 | 93.3% |