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Models/T2M-GPT (τ ∈ U[0, 1])

T2M-GPT (τ ∈ U[0, 1])

Reported on 16 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.

Audio8 results

  • 10-shot image generationonHumanML3D
    FID· 2023-01-15
    0.141
    best: 0.028 (Motion Anything)
    SOTA
    T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete RepresentationsarXiv:2301.06052
  • 3D Human Pose TrackingonHumanML3D
    FID· 2023-01-15
    0.141
    best: 0.028 (Motion Anything)
    SOTA
    T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete RepresentationsarXiv:2301.06052
  • 10-shot image generationonHumanML3D
    Diversity· 2023-01-15
    9.722
    best: 23.692 (Diffuion Motion)
    T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete RepresentationsarXiv:2301.06052
  • 10-shot image generationonHumanML3D
    Multimodality· 2023-01-15
    1.831
    best: 4.139 (TM2D (t2m))
    T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete RepresentationsarXiv:2301.06052
  • 10-shot image generationonHumanML3D
    R Precision Top3· 2023-01-15
    0.775
    best: 0.842 (MotionPCM)
    T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete RepresentationsarXiv:2301.06052
  • 3D Human Pose TrackingonHumanML3D
    Diversity· 2023-01-15
    9.722
    best: 23.692 (Diffuion Motion)
    T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete RepresentationsarXiv:2301.06052
  • 3D Human Pose TrackingonHumanML3D
    Multimodality· 2023-01-15
    1.831
    best: 4.139 (TM2D (t2m))
    T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete RepresentationsarXiv:2301.06052
  • 3D Human Pose TrackingonHumanML3D
    R Precision Top3· 2023-01-15
    0.775
    best: 0.842 (MotionPCM)
    T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete RepresentationsarXiv:2301.06052

Computer Vision4 results

  • Pose TrackingonHumanML3D
    FID· 2023-01-15
    0.141
    best: 0.028 (Motion Anything)
    SOTA
    T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete RepresentationsarXiv:2301.06052
  • Pose TrackingonHumanML3D
    Diversity· 2023-01-15
    9.722
    best: 23.692 (Diffuion Motion)
    T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete RepresentationsarXiv:2301.06052
  • Pose TrackingonHumanML3D
    Multimodality· 2023-01-15
    1.831
    best: 4.139 (TM2D (t2m))
    T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete RepresentationsarXiv:2301.06052
  • Pose TrackingonHumanML3D
    R Precision Top3· 2023-01-15
    0.775
    best: 0.842 (MotionPCM)
    T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete RepresentationsarXiv:2301.06052

Computer Code4 results

  • Motion SynthesisonHumanML3D
    FID· 2023-01-15
    0.141
    best: 0.028 (Motion Anything)
    SOTA
    T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete RepresentationsarXiv:2301.06052
  • Motion SynthesisonHumanML3D
    Diversity· 2023-01-15
    9.722
    best: 23.692 (Diffuion Motion)
    T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete RepresentationsarXiv:2301.06052
  • Motion SynthesisonHumanML3D
    Multimodality· 2023-01-15
    1.831
    best: 4.139 (TM2D (t2m))
    T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete RepresentationsarXiv:2301.06052
  • Motion SynthesisonHumanML3D
    R Precision Top3· 2023-01-15
    0.775
    best: 0.842 (MotionPCM)
    T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete RepresentationsarXiv:2301.06052