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20162025
most citedVNect: Real-time 3D Human Pose Estimation with a Single RGB Camera

1.2k citations · 2k across the 39 of their papers we have counts for

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Showing 2021Show all

10 papers · 1 filter

cs.CV2021

A Deeper Look into DeepCap

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…

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.CV2021★ 71 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.CV2021★ 63 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…

cs.CV2021★ 118 cited

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…

cs.CV2021

Estimating Egocentric 3D Human Pose in Global Space

Jian Wang, Lingjie Liu, Weipeng Xu +2

Egocentric 3D human pose estimation using a single fisheye camera has become popular recently as it allows capturing a wide range of daily activities in unconstrained environments,…

cs.CV2021

Learning Speech-driven 3D Conversational Gestures from Video

Ikhsanul Habibie, Weipeng Xu, Dushyant Mehta +5

We propose the first approach to automatically and jointly synthesize both the synchronous 3D conversational body and hand gestures, as well as 3D face and head animations, of a vi…

cs.CV2021

Neural Re-Rendering of Humans from a Single Image

Kripasindhu Sarkar, Dushyant Mehta, Weipeng Xu +2

Human re-rendering from a single image is a starkly under-constrained problem, and state-of-the-art algorithms often exhibit undesired artefacts, such as over-smoothing, unrealisti…