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PhysCap: Physically Plausible Monocular 3D Motion Capture in Real Time
Soshi Shimada, Vladislav Golyanik, Weipeng Xu +1
Marker-less 3D human motion capture from a single colour camera has seen significant progress. However, it is a very challenging and severely ill-posed problem. In consequence, eve…
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…