C. Theobalt

Publications
Influence

Zachary Devito, M. Mara, +6 authors M. Nießner
TOGS
11 October 2017

Many graphics and vision problems can be expressed as non-linear least squares optimizations of objective functions over visual data, such as images and meshes. The mathematical descriptions of these… Expand

16,824
1009
PDF

Face2Face: real-time face capture and reenactment of RGB videos

Justus Thies, M. Zollhöfer, M. Stamminger, C. Theobalt, M. Nießner
Computer Science
Commun. ACM
19 December 2018

We present Face2Face, a novel approach for real-time facial reenactment of a monocular target video sequence (e.g., Youtube video). Expand

Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision

Dushyant Mehta, H. Rhodin, +4 authors C. Theobalt
Computer Science
International Conference on 3D Vision (3DV)
29 November 2016

We propose a CNN-based approach for 3D human body pose estimation from single RGB images that addresses the issue of limited generalizability of models trained solely on the starkly limited publicly available 3D pose data. Expand

Performance capture from sparse multi-view video

E. D. Aguiar, Carsten Stoll, C. Theobalt, N. Ahmed, H. Seidel, S. Thrun
Computer Science
SIGGRAPH '08
2008

This paper proposes a new marker-less approach to capturing human performances from multi-view video that combines the power of surface- and volume-based shape deformation techniques with a new mesh-based analysis-through-synthesis framework. Expand

MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction

A. Tewari, M. Zollhöfer, +4 authors C. Theobalt
Computer Science
IEEE International Conference on Computer Vision…
30 March 2017

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 color image. Expand

GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB

F. Mueller, F. Bernard, +4 authors C. Theobalt
Computer Science
IEEE/CVF Conference on Computer Vision and…
4 December 2017

We address the highly challenging problem of real-time 3D hand tracking based on a monocular RGB-only sequence. Expand

VNect: real-time 3D human pose estimation with a single RGB camera

Dushyant Mehta, Srinath Sridhar, +6 authors C. Theobalt
Computer Science
TOGS
3 May 2017

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. Expand

BundleFusion: Real-Time Globally Consistent 3D Reconstruction Using On-the-Fly Surface Reintegration

Angela Dai, M. Nießner, M. Zollhöfer, S. Izadi, C. Theobalt
Computer Science
ACM Trans. Graph.
2017

Real-time, high-quality, 3D scanning of large-scale scenes is key to mixed reality and robotic applications. Expand

Interactive Markerless Articulated Hand Motion Tracking Using RGB and Depth Data

Srinath Sridhar, Antti Oulasvirta, C. Theobalt
Computer Science
IEEE International Conference on Computer Vision
1 December 2013

We present a novel method that can capture a broad range of articulated hand motions in the form of a kinematic skeleton at interactive rates. Expand

VolumeDeform: Real-Time Volumetric Non-rigid Reconstruction

M. Innmann, M. Zollhöfer, M. Nießner, C. Theobalt, M. Stamminger
Computer Science
ECCV
27 March 2016

We present a novel approach for the reconstruction of dynamic geometric shapes using a single hand-held consumer-grade RGB-D sensor at real-time rates. Expand

Recommended Authors