activity
20182022
most citedDriving-Signal Aware Full-Body Avatars

71 citations · 136 across the 6 of their papers we have counts for

collaborators

23 papers

cs.CV20221 cited

Estimating Egocentric 3D Human Pose in the Wild with External Weak Supervision

Jian Wang, Lingjie Liu, Weipeng Xu +3

Egocentric 3D human pose estimation with a single fisheye camera has drawn a significant amount of attention recently. However, existing methods struggle with pose estimation from…

cs.CV2021

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…

cs.CV202171 cited

Driving-Signal Aware Full-Body Avatars

Timur Bagautdinov, Chenglei Wu, Tomas Simon +6

We present a learning-based method for building driving-signal aware full-body avatars. Our model is a conditional variational autoencoder that can be animated with incomplete driv…

cs.CV202163 cited

Modeling Clothing as a Separate Layer for an Animatable Human Avatar

Donglai Xiang, Fabian Prada, Timur Bagautdinov +5

We have recently seen great progress in building photorealistic animatable full-body codec avatars, but generating high-fidelity animation of clothing is still difficult. To addres…

cs.CV2021

Neural Monocular 3D Human Motion Capture with Physical Awareness

Soshi Shimada, Vladislav Golyanik, Weipeng Xu +2

We present a new trainable system for physically plausible markerless 3D human motion capture, which achieves state-of-the-art results in a broad range of challenging scenarios. Un…

cs.CV2021

Revitalizing Optimization for 3D Human Pose and Shape Estimation: A Sparse Constrained Formulation

Taosha Fan, Kalyan Vasudev Alwala, Donglai Xiang +3

We propose a novel sparse constrained formulation and from it derive a real-time optimization method for 3D human pose and shape estimation. Our optimization method, SCOPE (Sparse…