265 citations · 785 across the 88 of their papers we have counts for
4 papers · 1 filter
Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB
Dushyant Mehta, Oleksandr Sotnychenko, Franziska Mueller +4
We propose a new single-shot method for multi-person 3D pose estimation in general scenes from a monocular RGB camera. Our approach uses novel occlusion-robust pose-maps (ORPM) whi…
A Generative Model of People in Clothing
Christoph Lassner, Gerard Pons-Moll, Peter V. Gehler
We present the first image-based generative model of people in clothing for the full body. We sidestep the commonly used complex graphics rendering pipeline and the need for high-q…
Detailed, accurate, human shape estimation from clothed 3D scan sequences
Chao Zhang, Sergi Pujades, Michael Black +1
We address the problem of estimating human pose and body shape from 3D scans over time. Reliable estimation of 3D body shape is necessary for many applications including virtual tr…
Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs
Timo von Marcard, Bodo Rosenhahn, Michael J. Black +1
We address the problem of making human motion capture in the wild more practical by using a small set of inertial sensors attached to the body. Since the problem is heavily under-c…