Motion Synthesis On Kit Motion Language

评估指标

Diversity

FID

Multimodality

R Precision Top3

评测结果

各个模型在此基准测试上的表现结果

模型名称	Diversity	FID	Multimodality	R Precision Top3	Paper Title	Repository
ParCo	10.95	0.453	1.245	0.772	ParCo: Part-Coordinating Text-to-Motion Synthesis
BAD (OAAS)	11.000	0.221	1.170	0.750	BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion Generation
MMM (gt length)	10.910	0.316	1.232	0.744	MMM: Generative Masked Motion Model
TEMOS	10.84	3.717	0.532	0.687	Executing your Commands via Motion Diffusion in Latent Space
T2M	10.72	3.022	2.052	0.681	Generating Diverse and Natural 3D Human Motions From Text
DisCoRD (+MoMask)	-	0.169	1.266	0.775	DisCoRD: Discrete Tokens to Continuous Motion via Rectified Flow Decoding	-
MotionPCM	10.827	0.294	1.254	0.787	MotionPCM: Real-Time Motion Synthesis with Phased Consistency Model	-
Motion Anything	10.94	0.131	1.374	0.802	Motion Anything: Any to Motion Generation
ReMoDiffuse	10.80	0.155	1.239	0.765	ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model
Fg-T2M	10.93	0.571	1.019	0.745	Fg-T2M: Fine-Grained Text-Driven Human Motion Generation via Diffusion Model	-
Text2Gesture	9.334	12.12	-	0.338	TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts
MMM (predict length)	10.633	0.429	1.105	0.718	MMM: Generative Masked Motion Model
FineMoGen	10.85	0.178	1.877	0.772	FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing
MoMask	-	0.204	1.131	0.781	MoMask: Generative Masked Modeling of 3D Human Motions
Free-T2M (StableMoFusion)	10.902	0.155	-	0.789	Free-T2M: Frequency Enhanced Text-to-Motion Diffusion Model With Consistency Loss
BiPO	10.833	0.164	1.098	0.803	BiPO: Bidirectional Partial Occlusion Network for Text-to-Motion Synthesis	-
BAMM	11.008	0.183	1.609	0.788	BAMM: Bidirectional Autoregressive Motion Model
DiverseMotion	10.873	0.468	2.062	0.760	DiverseMotion: Towards Diverse Human Motion Generation via Discrete Diffusion	-
MotionDiffuse	11.10	1.954	0.730	0.739	MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
EMDM	10.96	0.261	1.343	0.780	EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion Generation

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