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Motion Synthesis
Motion Synthesis On Aist
Motion Synthesis On Aist
Metrics
Beat alignment score
FID
Results
Performance results of various models on this benchmark
Columns
Model Name
Beat alignment score
FID
Paper Title
Repository
TM2D
0.2049
19.01
TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration
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++
Bailando
0.233
28.16
Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory
Lodge (DDPM)
0.24
37.09
Lodge: A Coarse to Fine Diffusion Network for Long Dance Generation Guided by the Characteristic Dance Primitives
TM2D (only motion data)
0.2127
23.94
TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration
DanceNet
0.143
69.13
Music2Dance: DanceNet for Music-driven Dance Generation
-
MoFusion
0.253
50.31
MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis
-
Dance Revolution
0.195
73.42
Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learning
-
EDGE (w=2)
0.26
-
EDGE: Editable Dance Generation From Music
Motion Anything
0.2757
17.22
Motion Anything: Any to Motion Generation
EDGE (w=1)
0.27
-
EDGE: Editable Dance Generation From Music
0 of 12 row(s) selected.
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