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/DG-Net (T=4)

DG-Net (T=4)

Reported on 12 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 Vision6 results

  • 3D Human Pose EstimationonHumanEva-I
    Mean Reconstruction Error (mm)· 2021-09-15
    19.5
    best: 9.2 (GLA-GCN (T=27, GT))
    Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in VideosarXiv:2109.07353
  • 3D Human Pose EstimationonMPI-INF-3DHP
    AUC· 2021-09-15
    53.8
    best: 87.7 (TCPFormer (T=81))
    Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in VideosarXiv:2109.07353
  • 3D Human Pose EstimationonMPI-INF-3DHP
    MPJPE· 2021-09-15
    76
    best: 124.7 (VNect (Augm.))
    Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in VideosarXiv:2109.07353
  • Pose EstimationonHumanEva-I
    Mean Reconstruction Error (mm)· 2021-09-15
    19.5
    best: 9.2 (GLA-GCN (T=27, GT))
    Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in VideosarXiv:2109.07353
  • Pose EstimationonMPI-INF-3DHP
    AUC· 2021-09-15
    53.8
    best: 87.7 (TCPFormer (T=81))
    Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in VideosarXiv:2109.07353
  • Pose EstimationonMPI-INF-3DHP
    MPJPE· 2021-09-15
    76
    best: 124.7 (VNect (Augm.))
    Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in VideosarXiv:2109.07353

Methodology3 results

  • 3DonHumanEva-I
    Mean Reconstruction Error (mm)· 2021-09-15
    19.5
    best: 9.2 (GLA-GCN (T=27, GT))
    Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in VideosarXiv:2109.07353
  • 3DonMPI-INF-3DHP
    AUC· 2021-09-15
    53.8
    best: 87.7 (TCPFormer (T=81))
    Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in VideosarXiv:2109.07353
  • 3DonMPI-INF-3DHP
    MPJPE· 2021-09-15
    76
    best: 124.7 (VNect (Augm.))
    Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in VideosarXiv:2109.07353

Audio3 results

  • 1 Image, 2*2 StitchionHumanEva-I
    Mean Reconstruction Error (mm)· 2021-09-15
    19.5
    best: 9.2 (GLA-GCN (T=27, GT))
    Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in VideosarXiv:2109.07353
  • 1 Image, 2*2 StitchionMPI-INF-3DHP
    AUC· 2021-09-15
    53.8
    best: 87.7 (TCPFormer (T=81))
    Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in VideosarXiv:2109.07353
  • 1 Image, 2*2 StitchionMPI-INF-3DHP
    MPJPE· 2021-09-15
    76
    best: 124.7 (VNect (Augm.))
    Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in VideosarXiv:2109.07353