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Text-to-motion generation on SnapMoGen (test)

0.94R-Precision Top 1

GT

Updated 21d ago

Evaluation Results

Method	Links
GT 2026.02		0.94	0.976	0.985	0.001	0.837	19.756	-
Real motions 2026.05		0.94	0.976	0.985	0.001	0.837	-	-
TriC-Motion 2026.02		0.907	0.969	0.985	26.346	0.675	19.831	-
ScaleMoGen 2026.05		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
MoMask 2026.02		0.777	0.888	0.927	17.404	0.664	-	-
MoMask 2026.05		0.777	0.888	0.927	17.404	0.664	-	8.183
SALAD 2026.05		0.742	0.875	0.922	23.248	0.658	-	9.238
StableMoFusion 2026.02		0.679	0.823	0.888	27.801	0.605	-	-
StableMoFusion 2026.05		0.679	0.823	0.888	27.801	0.605	-	9.064
MARDM 2026.02		0.659	0.812	0.86	26.878	0.602	-	-
MARDM 2026.05		0.659	0.812	0.86	26.878	0.602	-	9.812
MoGenTS 2026.05		0.626	0.771	0.845	27.802	0.586	-	7.142
T2M-GPT 2026.02		0.618	0.773	0.812	32.629	0.573	-	-
T2M-GPT 2026.05		0.618	0.773	0.812	32.629	0.573	-	9.172
MDM 2026.02		0.503	0.653	0.727	57.783	0.481	-	-
MDM 2026.05		0.503	0.653	0.727	57.783	0.481	-	13.412