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Models/POTR-3D

POTR-3D

Reported on 7 benchmarks across 7 tasks · 1 paper · 1 SOTA

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

Computer Vision8 results

  • 3D Multi-Person Pose Estimation (absolute)onMuPoTS-3D
    3DPCK· 2023-09-15
    50.9
    SOTA
    Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the WildarXiv:2309.08644
  • 3D Multi-Person Pose Estimation (root-relative)onMuPoTS-3D
    3DPCK· 2023-09-15
    83.7
    best: 89.6 (TDBU_Net)
    Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the WildarXiv:2309.08644
  • 3D Human Pose EstimationonMuPoTS-3D
    3DPCK· 2023-09-15
    50.9
    best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
    Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the WildarXiv:2309.08644
  • 3D Human Pose EstimationonMuPoTS-3D
    3DPCK· 2023-09-15
    83.7
    best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
    Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the WildarXiv:2309.08644
  • Pose EstimationonMuPoTS-3D
    3DPCK· 2023-09-15
    50.9
    best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
    Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the WildarXiv:2309.08644
  • Pose EstimationonMuPoTS-3D
    3DPCK· 2023-09-15
    83.7
    best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
    Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the WildarXiv:2309.08644
  • 3D Multi-Person Pose EstimationonMuPoTS-3D
    3DPCK· 2023-09-15
    50.9
    best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
    Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the WildarXiv:2309.08644
  • 3D Multi-Person Pose EstimationonMuPoTS-3D
    3DPCK· 2023-09-15
    83.7
    best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
    Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the WildarXiv:2309.08644

Methodology2 results

  • 3DonMuPoTS-3D
    3DPCK· 2023-09-15
    50.9
    best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
    Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the WildarXiv:2309.08644
  • 3DonMuPoTS-3D
    3DPCK· 2023-09-15
    83.7
    best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
    Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the WildarXiv:2309.08644

Audio2 results

  • 1 Image, 2*2 StitchionMuPoTS-3D
    3DPCK· 2023-09-15
    50.9
    best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
    Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the WildarXiv:2309.08644
  • 1 Image, 2*2 StitchionMuPoTS-3D
    3DPCK· 2023-09-15
    83.7
    best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
    Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the WildarXiv:2309.08644