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ViTPose/configs/body/3d_kpt_sview_rgb_img/pose_lift
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README.md

A simple yet effective baseline for 3d human pose estimation

SimpleBaseline3D (ICCV'2017) 
@inproceedings{martinez_2017_3dbaseline,
  title={A simple yet effective baseline for 3d human pose estimation},
  author={Martinez, Julieta and Hossain, Rayat and Romero, Javier and Little, James J.},
  booktitle={ICCV},
  year={2017}
}

Simple 3D baseline proposes to break down the task of 3d human pose estimation into 2 stages: (1) Image → 2D pose (2) 2D pose → 3D pose.

The authors find that “lifting” ground truth 2D joint locations to 3D space is a task that can be solved with a low error rate. Based on the success of 2d human pose estimation, it directly "lifts" 2d joint locations to 3d space.