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الرئيسية
SOTA
تركيب الحركة
Motion Synthesis On Kit Motion Language
Motion Synthesis On Kit Motion Language
المقاييس
Diversity
FID
Multimodality
R Precision Top3
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
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
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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
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BAMM
11.008
0.183
1.609
0.788
BAMM: Bidirectional Autoregressive Motion Model
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DiverseMotion
10.873
0.468
2.062
0.760
DiverseMotion: Towards Diverse Human Motion Generation via Discrete Diffusion
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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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