Text-to-motion generation on SnapMoGen (test)
0.94R-Precision Top 1GT
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| GT2026.02 | 0.94 | 0.976 | 0.985 | 0.001 | 0.837 | 19.756 | — | |
| Real motions2026.05 | 0.94 | 0.976 | 0.985 | 0.001 | 0.837 | — | — | |
| TriC-Motion2026.02 | 0.907 | 0.969 | 0.985 | 26.346 | 0.675 | 19.831 | — | |
| ScaleMoGen2026.05 | 0.807 | 0.908 | 0.941 | 16.35 | 0.693 | — | 9.399 | |
| MoMask++2026.02 | 0.802 | 0.905 | 0.938 | 15.06 | 0.685 | 19.97 | — | |
| MoMask++2026.05 | 0.802 | 0.905 | 0.938 | 15.06 | 0.685 | — | 7.259 | |
| MoMask2026.02 | 0.777 | 0.888 | 0.927 | 17.404 | 0.664 | — | — | |
| MoMask2026.05 | 0.777 | 0.888 | 0.927 | 17.404 | 0.664 | — | 8.183 | |
| SALAD2026.05 | 0.742 | 0.875 | 0.922 | 23.248 | 0.658 | — | 9.238 | |
| StableMoFusion2026.02 | 0.679 | 0.823 | 0.888 | 27.801 | 0.605 | — | — | |
| StableMoFusion2026.05 | 0.679 | 0.823 | 0.888 | 27.801 | 0.605 | — | 9.064 | |
| MARDM2026.02 | 0.659 | 0.812 | 0.86 | 26.878 | 0.602 | — | — | |
| MARDM2026.05 | 0.659 | 0.812 | 0.86 | 26.878 | 0.602 | — | 9.812 | |
| MoGenTS2026.05 | 0.626 | 0.771 | 0.845 | 27.802 | 0.586 | — | 7.142 | |
| T2M-GPT2026.02 | 0.618 | 0.773 | 0.812 | 32.629 | 0.573 | — | — | |
| T2M-GPT2026.05 | 0.618 | 0.773 | 0.812 | 32.629 | 0.573 | — | 9.172 | |
| MDM2026.02 | 0.503 | 0.653 | 0.727 | 57.783 | 0.481 | — | — | |
| MDM2026.05 | 0.503 | 0.653 | 0.727 | 57.783 | 0.481 | — | 13.412 |