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Models/T2M-GPT

T2M-GPT

Reported on 20 benchmarks across 4 tasks · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Audio10 results

10-shot image generationonMotion-X
FID· 2023-01-15
1.366
best: 1.174 (HumanTOMATO)
SOTA
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations arXiv:2301.06052
3D Human Pose TrackingonMotion-X
FID· 2023-01-15
1.366
best: 1.174 (HumanTOMATO)
SOTA
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations arXiv:2301.06052
10-shot image generationonMotion-X
Diversity· 2023-01-15
10.753
best: 11.4 (MDM)
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations arXiv:2301.06052
10-shot image generationonMotion-X
MModality· 2023-01-15
2.356
best: 2.53 (MDM)
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations arXiv:2301.06052
10-shot image generationonMotion-X
TMR-Matching Score· 2023-01-15
0.881
best: 0.883 (MLD)
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations arXiv:2301.06052
10-shot image generationonMotion-X
TMR-R-Precision Top3· 2023-01-15
0.655
best: 0.703 (HumanTOMATO)
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations arXiv:2301.06052
3D Human Pose TrackingonMotion-X
Diversity· 2023-01-15
10.753
best: 11.4 (MDM)
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations arXiv:2301.06052
3D Human Pose TrackingonMotion-X
MModality· 2023-01-15
2.356
best: 2.53 (MDM)
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations arXiv:2301.06052
3D Human Pose TrackingonMotion-X
TMR-Matching Score· 2023-01-15
0.881
best: 0.883 (MLD)
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations arXiv:2301.06052
3D Human Pose TrackingonMotion-X
TMR-R-Precision Top3· 2023-01-15
0.655
best: 0.703 (HumanTOMATO)
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations arXiv:2301.06052

Computer Vision5 results

Pose TrackingonMotion-X
FID· 2023-01-15
1.366
best: 1.174 (HumanTOMATO)
SOTA
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations arXiv:2301.06052
Pose TrackingonMotion-X
Diversity· 2023-01-15
10.753
best: 11.4 (MDM)
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations arXiv:2301.06052
Pose TrackingonMotion-X
MModality· 2023-01-15
2.356
best: 2.53 (MDM)
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations arXiv:2301.06052
Pose TrackingonMotion-X
TMR-Matching Score· 2023-01-15
0.881
best: 0.883 (MLD)
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations arXiv:2301.06052
Pose TrackingonMotion-X
TMR-R-Precision Top3· 2023-01-15
0.655
best: 0.703 (HumanTOMATO)
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations arXiv:2301.06052

Computer Code5 results

Motion SynthesisonMotion-X
FID· 2023-01-15
1.366
best: 1.174 (HumanTOMATO)
SOTA
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations arXiv:2301.06052
Motion SynthesisonMotion-X
Diversity· 2023-01-15
10.753
best: 11.4 (MDM)
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations arXiv:2301.06052
Motion SynthesisonMotion-X
MModality· 2023-01-15
2.356
best: 2.53 (MDM)
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations arXiv:2301.06052
Motion SynthesisonMotion-X
TMR-Matching Score· 2023-01-15
0.881
best: 0.883 (MLD)
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations arXiv:2301.06052
Motion SynthesisonMotion-X
TMR-R-Precision Top3· 2023-01-15
0.655
best: 0.703 (HumanTOMATO)
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations arXiv:2301.06052