Context Modeling in 3D Human Pose Estimation: A Unified Perspective

@article{Ma2021ContextMI,
  title={Context Modeling in 3D Human Pose Estimation: A Unified Perspective},
  author={Xiaoxuan Ma and Jiajun Su and Chunyu Wang and Hai Ci and Yizhou Wang},
  journal={2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2021},
  pages={6234-6243}
}
  • Xiaoxuan Ma, Jiajun Su, +2 authors Yizhou Wang
  • Published 29 March 2021
  • Computer Science
  • 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Estimating 3D human pose from a single image suffers from severe ambiguity since multiple 3D joint configurations may have the same 2D projection. The state-of-the-art methods often rely on context modeling methods such as pictorial structure model (PSM) or graph neural network (GNN) to reduce ambiguity. However, there is no study that rigorously compares them side by side. So we first present a general formula for context modeling in which both PSM and GNN are its special cases. By comparing… Expand

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