TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/U-CondDGConv

U-CondDGConv

Reported on 16 benchmarks across 4 tasks · 1 paper · 8 SOTA

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 EstimationonMPI-INF-3DHP
    AUC· 2021-07-16
    69.5
    best: 87.7 (TCPFormer (T=81))
    SOTA
    Conditional Directed Graph Convolution for 3D Human Pose EstimationarXiv:2107.07797
  • 3D Human Pose EstimationonMPI-INF-3DHP
    PCK· 2021-07-16
    97.9
    best: 99.37 (LMT R152 384x384)
    SOTA
    Conditional Directed Graph Convolution for 3D Human Pose EstimationarXiv:2107.07797
  • Pose EstimationonMPI-INF-3DHP
    AUC· 2021-07-16
    69.5
    best: 87.7 (TCPFormer (T=81))
    SOTA
    Conditional Directed Graph Convolution for 3D Human Pose EstimationarXiv:2107.07797
  • Pose EstimationonMPI-INF-3DHP
    PCK· 2021-07-16
    97.9
    best: 99.37 (LMT R152 384x384)
    SOTA
    Conditional Directed Graph Convolution for 3D Human Pose EstimationarXiv:2107.07797
  • 3D Human Pose EstimationonMPI-INF-3DHP
    MPJPE· 2021-07-16
    42.5
    best: 124.7 (VNect (Augm.))
    Conditional Directed Graph Convolution for 3D Human Pose EstimationarXiv:2107.07797
  • 3D Human Pose EstimationonHuman3.6M
    Average MPJPE (mm)· 2021-07-16
    41.1
    best: 131.7 (Rhodin et al.)
    Conditional Directed Graph Convolution for 3D Human Pose EstimationarXiv:2107.07797
  • Pose EstimationonMPI-INF-3DHP
    MPJPE· 2021-07-16
    42.5
    best: 124.7 (VNect (Augm.))
    Conditional Directed Graph Convolution for 3D Human Pose EstimationarXiv:2107.07797
  • Pose EstimationonHuman3.6M
    Average MPJPE (mm)· 2021-07-16
    41.1
    best: 131.7 (Rhodin et al.)
    Conditional Directed Graph Convolution for 3D Human Pose EstimationarXiv:2107.07797

Methodology4 results

  • 3DonMPI-INF-3DHP
    AUC· 2021-07-16
    69.5
    best: 87.7 (TCPFormer (T=81))
    SOTA
    Conditional Directed Graph Convolution for 3D Human Pose EstimationarXiv:2107.07797
  • 3DonMPI-INF-3DHP
    PCK· 2021-07-16
    97.9
    best: 99.37 (LMT R152 384x384)
    SOTA
    Conditional Directed Graph Convolution for 3D Human Pose EstimationarXiv:2107.07797
  • 3DonMPI-INF-3DHP
    MPJPE· 2021-07-16
    42.5
    best: 124.7 (VNect (Augm.))
    Conditional Directed Graph Convolution for 3D Human Pose EstimationarXiv:2107.07797
  • 3DonHuman3.6M
    Average MPJPE (mm)· 2021-07-16
    41.1
    best: 131.7 (Rhodin et al.)
    Conditional Directed Graph Convolution for 3D Human Pose EstimationarXiv:2107.07797

Audio4 results

  • 1 Image, 2*2 StitchionMPI-INF-3DHP
    AUC· 2021-07-16
    69.5
    best: 87.7 (TCPFormer (T=81))
    SOTA
    Conditional Directed Graph Convolution for 3D Human Pose EstimationarXiv:2107.07797
  • 1 Image, 2*2 StitchionMPI-INF-3DHP
    PCK· 2021-07-16
    97.9
    best: 99.37 (LMT R152 384x384)
    SOTA
    Conditional Directed Graph Convolution for 3D Human Pose EstimationarXiv:2107.07797
  • 1 Image, 2*2 StitchionMPI-INF-3DHP
    MPJPE· 2021-07-16
    42.5
    best: 124.7 (VNect (Augm.))
    Conditional Directed Graph Convolution for 3D Human Pose EstimationarXiv:2107.07797
  • 1 Image, 2*2 StitchionHuman3.6M
    Average MPJPE (mm)· 2021-07-16
    41.1
    best: 131.7 (Rhodin et al.)
    Conditional Directed Graph Convolution for 3D Human Pose EstimationarXiv:2107.07797