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Models/PyMAF-X

PyMAF-X

Reported on 16 benchmarks across 4 tasks · 1 paper

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

Computer Vision8 results

  • 3D Human Pose EstimationonAGORA
    B-MPJPE· uses extra data· 2022-07-13
    83.2
    best: 182.1 (SMPLify-X)
    PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular ImagesarXiv:2207.06400
  • 3D Human Pose EstimationonAGORA
    B-MVE· uses extra data· 2022-07-13
    84
    best: 187 (SMPLify-X)
    PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular ImagesarXiv:2207.06400
  • 3D Human Pose EstimationonAGORA
    B-NMJE· uses extra data· 2022-07-13
    93.5
    best: 256.5 (SMPLify-X)
    PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular ImagesarXiv:2207.06400
  • 3D Human Pose EstimationonAGORA
    B-NMVE· uses extra data· 2022-07-13
    94.4
    best: 263.3 (SMPLify-X)
    PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular ImagesarXiv:2207.06400
  • Pose EstimationonAGORA
    B-MPJPE· uses extra data· 2022-07-13
    83.2
    best: 182.1 (SMPLify-X)
    PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular ImagesarXiv:2207.06400
  • Pose EstimationonAGORA
    B-MVE· uses extra data· 2022-07-13
    84
    best: 187 (SMPLify-X)
    PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular ImagesarXiv:2207.06400
  • Pose EstimationonAGORA
    B-NMJE· uses extra data· 2022-07-13
    93.5
    best: 256.5 (SMPLify-X)
    PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular ImagesarXiv:2207.06400
  • Pose EstimationonAGORA
    B-NMVE· uses extra data· 2022-07-13
    94.4
    best: 263.3 (SMPLify-X)
    PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular ImagesarXiv:2207.06400

Methodology4 results

  • 3DonAGORA
    B-MPJPE· uses extra data· 2022-07-13
    83.2
    best: 182.1 (SMPLify-X)
    PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular ImagesarXiv:2207.06400
  • 3DonAGORA
    B-MVE· uses extra data· 2022-07-13
    84
    best: 187 (SMPLify-X)
    PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular ImagesarXiv:2207.06400
  • 3DonAGORA
    B-NMJE· uses extra data· 2022-07-13
    93.5
    best: 256.5 (SMPLify-X)
    PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular ImagesarXiv:2207.06400
  • 3DonAGORA
    B-NMVE· uses extra data· 2022-07-13
    94.4
    best: 263.3 (SMPLify-X)
    PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular ImagesarXiv:2207.06400

Audio4 results

  • 1 Image, 2*2 StitchionAGORA
    B-MPJPE· uses extra data· 2022-07-13
    83.2
    best: 182.1 (SMPLify-X)
    PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular ImagesarXiv:2207.06400
  • 1 Image, 2*2 StitchionAGORA
    B-MVE· uses extra data· 2022-07-13
    84
    best: 187 (SMPLify-X)
    PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular ImagesarXiv:2207.06400
  • 1 Image, 2*2 StitchionAGORA
    B-NMJE· uses extra data· 2022-07-13
    93.5
    best: 256.5 (SMPLify-X)
    PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular ImagesarXiv:2207.06400
  • 1 Image, 2*2 StitchionAGORA
    B-NMVE· uses extra data· 2022-07-13
    94.4
    best: 263.3 (SMPLify-X)
    PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular ImagesarXiv:2207.06400