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Models/DC-GNet

DC-GNet

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 EstimationonMPI-INF-3DHP
AUC· 2021-08-27
40.7
best: 87.7 (TCPFormer (T=81))
DC-GNet: Deep Mesh Relation Capturing Graph Convolution Network for 3D Human Shape Reconstruction arXiv:2108.12384
3D Human Pose EstimationonMPI-INF-3DHP
MPJPE· 2021-08-27
97.2
best: 124.7 (VNect (Augm.))
DC-GNet: Deep Mesh Relation Capturing Graph Convolution Network for 3D Human Shape Reconstruction arXiv:2108.12384
3D Human Pose EstimationonMPI-INF-3DHP
PA-MPJPE· 2021-08-27
62.5
best: 89.8 (HMR)
DC-GNet: Deep Mesh Relation Capturing Graph Convolution Network for 3D Human Shape Reconstruction arXiv:2108.12384
Pose EstimationonMPI-INF-3DHP
AUC· 2021-08-27
40.7
best: 87.7 (TCPFormer (T=81))
DC-GNet: Deep Mesh Relation Capturing Graph Convolution Network for 3D Human Shape Reconstruction arXiv:2108.12384
Pose EstimationonMPI-INF-3DHP
MPJPE· 2021-08-27
97.2
best: 124.7 (VNect (Augm.))
DC-GNet: Deep Mesh Relation Capturing Graph Convolution Network for 3D Human Shape Reconstruction arXiv:2108.12384
Pose EstimationonMPI-INF-3DHP
PA-MPJPE· 2021-08-27
62.5
best: 89.8 (HMR)
DC-GNet: Deep Mesh Relation Capturing Graph Convolution Network for 3D Human Shape Reconstruction arXiv:2108.12384

Methodology3 results

3DonMPI-INF-3DHP
AUC· 2021-08-27
40.7
best: 87.7 (TCPFormer (T=81))
DC-GNet: Deep Mesh Relation Capturing Graph Convolution Network for 3D Human Shape Reconstruction arXiv:2108.12384
3DonMPI-INF-3DHP
MPJPE· 2021-08-27
97.2
best: 124.7 (VNect (Augm.))
DC-GNet: Deep Mesh Relation Capturing Graph Convolution Network for 3D Human Shape Reconstruction arXiv:2108.12384
3DonMPI-INF-3DHP
PA-MPJPE· 2021-08-27
62.5
best: 89.8 (HMR)
DC-GNet: Deep Mesh Relation Capturing Graph Convolution Network for 3D Human Shape Reconstruction arXiv:2108.12384

Audio3 results

1 Image, 2*2 StitchionMPI-INF-3DHP
AUC· 2021-08-27
40.7
best: 87.7 (TCPFormer (T=81))
DC-GNet: Deep Mesh Relation Capturing Graph Convolution Network for 3D Human Shape Reconstruction arXiv:2108.12384
1 Image, 2*2 StitchionMPI-INF-3DHP
MPJPE· 2021-08-27
97.2
best: 124.7 (VNect (Augm.))
DC-GNet: Deep Mesh Relation Capturing Graph Convolution Network for 3D Human Shape Reconstruction arXiv:2108.12384
1 Image, 2*2 StitchionMPI-INF-3DHP
PA-MPJPE· 2021-08-27
62.5
best: 89.8 (HMR)
DC-GNet: Deep Mesh Relation Capturing Graph Convolution Network for 3D Human Shape Reconstruction arXiv:2108.12384