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Models/GnTCN

GnTCN

Reported on 24 benchmarks across 8 tasks · 1 paper · 7 SOTA

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

Computer Vision16 results

3D Multi-Person Pose Estimation (root-relative)onMuPoTS-3D
3DPCK· 2020-12-22
87.5
best: 89.6 (TDBU_Net)
SOTA
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806
3D Human Pose EstimationonMuPoTS-3D
3DPCK· 2020-12-22
87.5
best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
SOTA
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806
3D Multi-Person Pose Estimation (absolute)onMuPoTS-3D
3DPCK· 2020-12-22
45.7
best: 50.9 (POTR-3D)
SOTA
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806
Pose EstimationonMuPoTS-3D
3DPCK· 2020-12-22
87.5
best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
SOTA
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806
3D Multi-Person Pose EstimationonMuPoTS-3D
3DPCK· 2020-12-22
87.5
best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
SOTA
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806
3D Human Pose Estimationon3DPW
PA-MPJPE· 2020-12-22
64.2
best: 157 (Simple-baseline)
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806
3D Human Pose EstimationonHuman3.6M
Average MPJPE (mm)· 2020-12-22
40.9
best: 131.7 (Rhodin et al.)
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806
3D Human Pose EstimationonHuman3.6M
PA-MPJPE· 2020-12-22
30.4
best: 80.7 (SMPLify (dense))
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806
3D Human Pose EstimationonMuPoTS-3D
3DPCK· 2020-12-22
45.7
best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806
3D Human Pose EstimationonHuman3.6M
MRPE· 2020-12-22
88.1
best: 120 (RootNet)
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806
Pose Estimationon3DPW
PA-MPJPE· 2020-12-22
64.2
best: 157 (Simple-baseline)
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806
Pose EstimationonHuman3.6M
Average MPJPE (mm)· 2020-12-22
40.9
best: 131.7 (Rhodin et al.)
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806
Pose EstimationonHuman3.6M
PA-MPJPE· 2020-12-22
30.4
best: 80.7 (SMPLify (dense))
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806
Pose EstimationonMuPoTS-3D
3DPCK· 2020-12-22
45.7
best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806
Pose EstimationonHuman3.6M
MRPE· 2020-12-22
88.1
best: 120 (RootNet)
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806
3D Multi-Person Pose EstimationonMuPoTS-3D
3DPCK· 2020-12-22
45.7
best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806

Methodology6 results

3DonMuPoTS-3D
3DPCK· 2020-12-22
87.5
best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
SOTA
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806
3Don3DPW
PA-MPJPE· 2020-12-22
64.2
best: 157 (Simple-baseline)
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806
3DonHuman3.6M
Average MPJPE (mm)· 2020-12-22
40.9
best: 131.7 (Rhodin et al.)
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806
3DonHuman3.6M
PA-MPJPE· 2020-12-22
30.4
best: 89.4 (Kinematic-Structure-Preserved Representation)
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806
3DonMuPoTS-3D
3DPCK· 2020-12-22
45.7
best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806
3DonHuman3.6M
MRPE· 2020-12-22
88.1
best: 120 (RootNet)
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806

Audio6 results

1 Image, 2*2 StitchionMuPoTS-3D
3DPCK· 2020-12-22
87.5
best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
SOTA
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806
1 Image, 2*2 Stitchion3DPW
PA-MPJPE· 2020-12-22
64.2
best: 157 (Simple-baseline)
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806
1 Image, 2*2 StitchionHuman3.6M
Average MPJPE (mm)· 2020-12-22
40.9
best: 131.7 (Rhodin et al.)
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806
1 Image, 2*2 StitchionHuman3.6M
PA-MPJPE· 2020-12-22
30.4
best: 80.7 (SMPLify (dense))
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806
1 Image, 2*2 StitchionMuPoTS-3D
3DPCK· 2020-12-22
45.7
best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806
1 Image, 2*2 StitchionHuman3.6M
MRPE· 2020-12-22
88.1
best: 120 (RootNet)
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806

Knowledge Base1 result

3D Absolute Human Pose EstimationonHuman3.6M
MRPE· 2020-12-22
88.1
best: 120 (RootNet)
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos arXiv:2012.11806