Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image

Denis Tome' Chris Russell Lourdes Agapito Abstract We propose a unified formulation for the problem of 3D human pose estimation from a single raw RGB image that reasons jointly about 2D joint estimation and 3D pose reconstruction to improve both tasks. We take an integrated approach that fuses probabilistic knowledge of 3D human pose with a multi-stage CNN architecture and uses the knowledge of pl