Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

CVPR 2019 Georgios PavlakosVasileios ChoutasNima GhorbaniTimo BolkartAhmed A. A. OsmanDimitrios TzionasMichael J. Black

To facilitate the analysis of human actions, interactions and emotions, we compute a 3D model of human body pose, hand pose, and facial expression from a single monocular image. To achieve this, we use thousands of 3D scans to train a new, unified, 3D model of the human body, SMPL-X, that extends SMPL with fully articulated hands and an expressive face... (read more)

PDF Abstract

Evaluation results from the paper


  Submit results from this paper to get state-of-the-art GitHub badges and help community compare results to other papers.