Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data

CVPR 2020 Henry M. CleverZackory EricksonAriel KapustaGreg TurkC. Karen LiuCharles C. Kemp

People spend a substantial part of their lives at rest in bed. 3D human pose and shape estimation for this activity would have numerous beneficial applications, yet line-of-sight perception is complicated by occlusion from bedding... (read more)

PDF Abstract

Results from the Paper

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

Methods used in the Paper

🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet