PoP-Net: Pose over Parts Network for Multi-Person 3D Pose Estimation from a Depth Image

Yuliang Guo, Zhong Li, Zekun Li +3

In this paper, a real-time method called PoP-Net is proposed to predict multi-person 3D poses from a depth image. PoP-Net learns to predict bottom-up part representations and top-d…