1.2k citations · 4.7k across the 165 of their papers we have counts for
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GANerated Hands for Real-time 3D Hand Tracking from Monocular RGB
Franziska Mueller, Florian Bernard, Oleksandr Sotnychenko +4
We address the highly challenging problem of real-time 3D hand tracking based on a monocular RGB-only sequence. Our tracking method combines a convolutional neural network with a k…
Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB
Dushyant Mehta, Oleksandr Sotnychenko, Franziska Mueller +4
We propose a new single-shot method for multi-person 3D pose estimation in general scenes from a monocular RGB camera. Our approach uses novel occlusion-robust pose-maps (ORPM) whi…
Self-supervised Multi-level Face Model Learning for Monocular Reconstruction at over 250 Hz
Ayush Tewari, Michael Zollhöfer, Pablo Garrido +4
The reconstruction of dense 3D models of face geometry and appearance from a single image is highly challenging and ill-posed. To constrain the problem, many approaches rely on str…
DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems
Florian Bernard, Christian Theobalt, Michael Moeller
In this work we study convex relaxations of quadratic optimisation problems over permutation matrices. While existing semidefinite programming approaches can achieve remarkably tig…
HandSeg: An Automatically Labeled Dataset for Hand Segmentation from Depth Images
Abhishake Kumar Bojja, Franziska Mueller, Sri Raghu Malireddi +5
We propose an automatic method for generating high-quality annotations for depth-based hand segmentation, and introduce a large-scale hand segmentation dataset. Existing datasets a…
MonoPerfCap: Human Performance Capture from Monocular Video
Weipeng Xu, Avishek Chatterjee, Michael Zollhöfer +4
We present the first marker-less approach for temporally coherent 3D performance capture of a human with general clothing from monocular video. Our approach reconstructs articulate…
Criteria Sliders: Learning Continuous Database Criteria via Interactive Ranking
James Tompkin, Kwang In Kim, Hanspeter Pfister +1
Large databases are often organized by hand-labeled metadata, or criteria, which are expensive to collect. We can use unsupervised learning to model database variation, but these m…
VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera
Dushyant Mehta, Srinath Sridhar, Oleksandr Sotnychenko +6
We present the first real-time method to capture the full global 3D skeletal pose of a human in a stable, temporally consistent manner using a single RGB camera. Our method combine…
Real-time Hand Tracking under Occlusion from an Egocentric RGB-D Sensor
Franziska Mueller, Dushyant Mehta, Oleksandr Sotnychenko +3
We present an approach for real-time, robust and accurate hand pose estimation from moving egocentric RGB-D cameras in cluttered real environments. Existing methods typically fail…
InverseFaceNet: Deep Monocular Inverse Face Rendering
Hyeongwoo Kim, Michael Zollhöfer, Ayush Tewari +3
We introduce InverseFaceNet, a deep convolutional inverse rendering framework for faces that jointly estimates facial pose, shape, expression, reflectance and illumination from a s…
MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction
Ayush Tewari, Michael Zollhöfer, Hyeongwoo Kim +4
In this work we propose a novel model-based deep convolutional autoencoder that addresses the highly challenging problem of reconstructing a 3D human face from a single in-the-wild…