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SOTA
运动合成
Motion Synthesis On Kit Motion Language
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
Columns
模型名称
Diversity
FID
Multimodality
R Precision Top3
Paper Title
Repository
Text2Gesture
9.334
12.12
-
0.338
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts
Language2Pose
9.073
6.545
-
0.483
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts
TEMOS
10.84
3.717
0.532
0.687
Executing your Commands via Motion Diffusion in Latent Space
TM2T
9.473
3.599
3.292
0.587
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts
T2M
10.72
3.022
2.052
0.681
Generating Diverse and Natural 3D Human Motions From Text
-
MotionDiffuse
11.10
1.954
0.730
0.739
MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
AttT2M
10.96
0.870
2.281
0.751
AttT2M: Text-Driven Human Motion Generation with Multi-Perspective Attention Mechanism
T2M-GPT (τ = 0)
11.198
0.737
2.309
0.716
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations
T2M-GPT (τ = 0.5)
10.862
0.717
1.912
0.737
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations
Fg-T2M
10.93
0.571
1.019
0.745
Fg-T2M: Fine-Grained Text-Driven Human Motion Generation via Diffusion Model
-
T2M-GPT (τ ∈ U[0, 1])
10.921
0.514
1.570
0.745
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations
MDM
10.847
0.497
1.907
0.396
Human Motion Diffusion Model
DiverseMotion
10.873
0.468
2.062
0.760
DiverseMotion: Towards Diverse Human Motion Generation via Discrete Diffusion
-
ParCo
10.95
0.453
1.245
0.772
ParCo: Part-Coordinating Text-to-Motion Synthesis
MMM (predict length)
10.633
0.429
1.105
0.718
MMM: Generative Masked Motion Model
MLD
10.80
0.404
2.192
0.734
Executing your Commands via Motion Diffusion in Latent Space
GUESS
10.933
0.371
2.732
0.751
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation
MMM (gt length)
10.910
0.316
1.232
0.744
MMM: Generative Masked Motion Model
GraphMotion
11.12
0.313
3.627
0.769
Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs
-
MotionPCM
10.827
0.294
1.254
0.787
MotionPCM: Real-Time Motion Synthesis with Phased Consistency Model
-
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