Body(3D,Mesh,Img)¶
Mixed Dataset¶
HMR + Resnet on Mixed¶
HMR (CVPR'2018)
@inProceedings{kanazawaHMR18,
title={End-to-end Recovery of Human Shape and Pose},
author = {Angjoo Kanazawa
and Michael J. Black
and David W. Jacobs
and Jitendra Malik},
booktitle={Computer Vision and Pattern Recognition (CVPR)},
year={2018}
}
ResNet (CVPR'2016)
@inproceedings{he2016deep,
title={Deep residual learning for image recognition},
author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
pages={770--778},
year={2016}
}
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 with ground-truth bounding box having MPJPE-PA of 52.60 mm on Protocol2
Arch | Input Size | MPJPE (P1) | MPJPE-PA (P1) | MPJPE (P2) | MPJPE-PA (P2) | ckpt | log |
---|---|---|---|---|---|---|---|
hmr_resnet_50 | 224x224 | 80.75 | 55.08 | 80.35 | 52.60 | ckpt | log |