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Models/SMPLify (dense)

SMPLify (dense)

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

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

Computer Vision4 results

3D Human Pose EstimationonHuman3.6M
PA-MPJPE· 2017-01-10
80.7
SOTA
Unite the People: Closing the Loop Between 3D and 2D Human Representations arXiv:1701.02468
Pose EstimationonHuman3.6M
PA-MPJPE· 2017-01-10
80.7
SOTA
Unite the People: Closing the Loop Between 3D and 2D Human Representations arXiv:1701.02468
3D Human Pose EstimationonHumanEva-I
Mean Reconstruction Error (mm)· 2017-01-10
74.5
best: 9.2 (GLA-GCN (T=27, GT))
Unite the People: Closing the Loop Between 3D and 2D Human Representations arXiv:1701.02468
Pose EstimationonHumanEva-I
Mean Reconstruction Error (mm)· 2017-01-10
74.5
best: 9.2 (GLA-GCN (T=27, GT))
Unite the People: Closing the Loop Between 3D and 2D Human Representations arXiv:1701.02468

Methodology2 results

3DonHuman3.6M
PA-MPJPE· 2017-01-10
80.7
best: 89.4 (Kinematic-Structure-Preserved Representation)
SOTA
Unite the People: Closing the Loop Between 3D and 2D Human Representations arXiv:1701.02468
3DonHumanEva-I
Mean Reconstruction Error (mm)· 2017-01-10
74.5
best: 9.2 (GLA-GCN (T=27, GT))
Unite the People: Closing the Loop Between 3D and 2D Human Representations arXiv:1701.02468

Audio2 results

1 Image, 2*2 StitchionHuman3.6M
PA-MPJPE· 2017-01-10
80.7
SOTA
Unite the People: Closing the Loop Between 3D and 2D Human Representations arXiv:1701.02468
1 Image, 2*2 StitchionHumanEva-I
Mean Reconstruction Error (mm)· 2017-01-10
74.5
best: 9.2 (GLA-GCN (T=27, GT))
Unite the People: Closing the Loop Between 3D and 2D Human Representations arXiv:1701.02468