Text-to-motion generation on SnapMoGen (test)
0.94R-Precision Top 1
GT
Updated 4d ago
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
2026.02 | 0.94 | 0.976 | 0.985 | 0.001 | 0.837 | 19.756 | |
2026.02 | 0.907 | 0.969 | 0.985 | 26.346 | 0.675 | 19.831 | |
2026.02 | 0.802 | 0.905 | 0.938 | 15.06 | 0.685 | 19.97 | |
2026.02 | 0.777 | 0.888 | 0.927 | 17.404 | 0.664 | - | |
2026.02 | 0.679 | 0.823 | 0.888 | 27.801 | 0.605 | - | |
2026.02 | 0.659 | 0.812 | 0.86 | 26.878 | 0.602 | - | |
2026.02 | 0.618 | 0.773 | 0.812 | 32.629 | 0.573 | - | |
2026.02 | 0.503 | 0.653 | 0.727 | 57.783 | 0.481 | - |