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)

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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