Text-conditional Motion Synthesis on HumanML3D 16 (test) benchmark leaderboard · SOTA2 Research

Text-conditional Motion Synthesis on HumanML3D 16 (test)

0.525R-Precision Top-1BAMM

Evaluation Results

Method	Links
BAMM2024.03		0.525	0.72	0.814	0.055	2.919	9.717	1.687
BAMM2024.03		0.522	0.715	0.808	0.055	2.936	9.636	1.732
MoMask2024.03		0.521	0.713	0.807	0.045	2.958	9.417	1.241
MMM2024.03		0.515	0.708	0.804	0.089	2.926	9.577	1.226
AttT2M2024.03		0.499	0.69	0.786	0.112	3.038	9.7	2.452
M2DM2024.03		0.497	0.682	0.763	0.352	3.134	9.926	3.587
Fg-T2M2024.03		0.492	0.683	0.783	0.243	3.109	9.278	1.614
Motion Diffuse2024.03		0.491	0.681	0.782	0.63	3.113	9.41	1.553
T2M-GPT2024.03		0.491	0.68	0.775	0.116	3.118	9.761	1.856
MLD2024.03		0.481	0.673	0.772	0.473	3.196	9.724	2.413
T2M2024.03		0.455	0.636	0.736	1.067	3.347	9.175	2.219
TEMOS2024.03		0.424	0.612	0.722	3.734	3.703	8.973	0.368
TM2T2024.03		0.424	0.618	0.729	1.501	3.467	8.589	2.424
MDM2024.03		0.32	0.498	0.611	0.544	5.566	9.559	2.799
Hier2024.03		0.301	0.425	0.552	6.523	5.012	8.332	—