10 citations · 19 across the 5 of their papers we have counts for
11 papers
HiFECap: Monocular High-Fidelity and Expressive Capture of Human Performances
Yue Jiang, Marc Habermann, Vladislav Golyanik +1
Monocular 3D human performance capture is indispensable for many applications in computer graphics and vision for enabling immersive experiences. However, detailed capture of human…
Physical Inertial Poser (PIP): Physics-aware Real-time Human Motion Tracking from Sparse Inertial Sensors
Xinyu Yi, Yuxiao Zhou, Marc Habermann +4
Motion capture from sparse inertial sensors has shown great potential compared to image-based approaches since occlusions do not lead to a reduced tracking quality and the recordin…
NRST: Non-rigid Surface Tracking from Monocular Video
Marc Habermann, Weipeng Xu, Helge Rhodin +3
We propose an efficient method for non-rigid surface tracking from monocular RGB videos. Given a video and a template mesh, our algorithm sequentially registers the template non-ri…
Real-time Deep Dynamic Characters
Marc Habermann, Lingjie Liu, Weipeng Xu +3
We propose a deep videorealistic 3D human character model displaying highly realistic shape, motion, and dynamic appearance learned in a new weakly supervised way from multi-view i…
Efficient and Differentiable Shadow Computation for Inverse Problems
Linjie Lyu, Marc Habermann, Lingjie Liu +3
Differentiable rendering has received increasing interest for image-based inverse problems. It can benefit traditional optimization-based solutions to inverse problems, but also al…
Monocular Real-time Full Body Capture with Inter-part Correlations
Yuxiao Zhou, Marc Habermann, Ikhsanul Habibie +3
We present the first method for real-time full body capture that estimates shape and motion of body and hands together with a dynamic 3D face model from a single color image. Our a…