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Motion Synthesis On Aist

Metrics

Beat alignment score

FID

Results

Performance results of various models on this benchmark

			Paper Title	Repository
Motion Anything	0.2757	17.22	Motion Anything: Any to Motion Generation
EDGE (w=1)	0.27	-	EDGE: Editable Dance Generation From Music
EDGE (w=2)	0.26	-	EDGE: Editable Dance Generation From Music
MoFusion	0.253	50.31	MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis	-
Lodge (DDPM)	0.24	37.09	Lodge: A Coarse to Fine Diffusion Network for Long Dance Generation Guided by the Characteristic Dance Primitives
Bailando	0.233	28.16	Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory
UDE	0.2311	17.25	UDE: A Unified Driving Engine for Human Motion Generation
AI Choreographer	0.221	35.35	AI Choreographer: Music Conditioned 3D Dance Generation with AIST++
TM2D (only motion data)	0.2127	23.94	TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration
TM2D	0.2049	19.01	TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration
Dance Revolution	0.195	73.42	Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learning	-
DanceNet	0.143	69.13	Music2Dance: DanceNet for Music-driven Dance Generation	-

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