Body(3D,Kpt,Sview,Img)¶
H36m Dataset¶
Pose Lift + Simplebaseline3d on H36m¶
SimpleBaseline3D (ICCV'2017)
@inproceedings{martinez_2017_3dbaseline,
title={A simple yet effective baseline for 3d human pose estimation},
author={Martinez, Julieta and Hossain, Rayat and Romero, Javier and Little, James J.},
booktitle={ICCV},
year={2017}
}
Human3.6M (TPAMI'2014)
@article{h36m_pami,
author = {Ionescu, Catalin and Papava, Dragos and Olaru, Vlad and Sminchisescu, Cristian},
title = {Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
publisher = {IEEE Computer Society},
volume = {36},
number = {7},
pages = {1325-1339},
month = {jul},
year = {2014}
}
Results on Human3.6M dataset with ground truth 2D detections
Arch | MPJPE | P-MPJPE | ckpt | log |
---|---|---|---|---|
simple_baseline_3d_tcn1 | 43.4 | 34.3 | ckpt | log |
1 Differing from the original paper, we didn’t apply the max-norm constraint
because we found this led to a better convergence and performance.
Mpi_inf_3dhp Dataset¶
Pose Lift + Simplebaseline3d on Mpi_inf_3dhp¶
SimpleBaseline3D (ICCV'2017)
@inproceedings{martinez_2017_3dbaseline,
title={A simple yet effective baseline for 3d human pose estimation},
author={Martinez, Julieta and Hossain, Rayat and Romero, Javier and Little, James J.},
booktitle={ICCV},
year={2017}
}
MPI-INF-3DHP (3DV'2017)
@inproceedings{mono-3dhp2017,
author = {Mehta, Dushyant and Rhodin, Helge and Casas, Dan and Fua, Pascal and Sotnychenko, Oleksandr and Xu, Weipeng and Theobalt, Christian},
title = {Monocular 3D Human Pose Estimation In The Wild Using Improved CNN Supervision},
booktitle = {3D Vision (3DV), 2017 Fifth International Conference on},
url = {http://gvv.mpi-inf.mpg.de/3dhp_dataset},
year = {2017},
organization={IEEE},
doi={10.1109/3dv.2017.00064},
}
Results on MPI-INF-3DHP dataset with ground truth 2D detections
Arch | MPJPE | P-MPJPE | 3DPCK | 3DAUC | ckpt | log |
---|---|---|---|---|---|---|
simple_baseline_3d_tcn1 | 84.3 | 53.2 | 85.0 | 52.0 | ckpt | log |
1 Differing from the original paper, we didn’t apply the max-norm constraint
because we found this led to a better convergence and performance.