Learning Pose Grammar for Monocular 3D Pose Estimation

IEEE Transactions on Pattern Analysis and Machine Intelligence 2019 Yuanlu XuWenguan WangXiaobai LiuJianwen XieSong-Chun Zhu

In this paper, we propose a pose grammar to tackle the problem of 3D human pose estimation from a monocular RGB image. Our model takes estimated 2D pose as the input and learns a generalized 2D-3D mapping function to leverage into 3D pose... (read more)

PDF Abstract

Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
3D Human Pose Estimation HumanEva-I 3D Pose Grammar Network Mean Reconstruction Error (mm) 21.9 # 1