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Motion Synthesis
Motion Synthesis On Kit Motion Language
Motion Synthesis On Kit Motion Language
Metrics
Diversity
FID
Multimodality
R Precision Top3
Results
Performance results of various models on this benchmark
Columns
Model Name
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
0 of 30 row(s) selected.
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