118 citations · 370 across the 64 of their papers we have counts for
5 papers · 1 filter
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…
Deep Physics-aware Inference of Cloth Deformation for Monocular Human Performance Capture
Yue Li, Marc Habermann, Bernhard Thomaszewski +3
Recent monocular human performance capture approaches have shown compelling dense tracking results of the full body from a single RGB camera. However, existing methods either do no…
DeepCap: Monocular Human Performance Capture Using Weak Supervision
Marc Habermann, Weipeng Xu, Michael Zollhoefer +2
Human performance capture is a highly important computer vision problem with many applications in movie production and virtual/augmented reality. Many previous performance capture…
Monocular Real-time Hand Shape and Motion Capture using Multi-modal Data
Yuxiao Zhou, Marc Habermann, Weipeng Xu +3
We present a novel method for monocular hand shape and pose estimation at unprecedented runtime performance of 100fps and at state-of-the-art accuracy. This is enabled by a new lea…
Neural Human Video Rendering by Learning Dynamic Textures and Rendering-to-Video Translation
Lingjie Liu, Weipeng Xu, Marc Habermann +5
Synthesizing realistic videos of humans using neural networks has been a popular alternative to the conventional graphics-based rendering pipeline due to its high efficiency. Exist…