C
Christian Theobalt
Researcher at Max Planck Society
Publications - 508
Citations - 34680
Christian Theobalt is an academic researcher from Max Planck Society. The author has contributed to research in topics: Motion capture & Computer science. The author has an hindex of 89, co-authored 450 publications receiving 25487 citations. Previous affiliations of Christian Theobalt include Stanford University & Facebook.
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Patent
Computer-implemented method and apparatus for tracking and re-shaping a human shaped figure in a digital video
TL;DR: In this paper, a computer-implemented method for tracking and reshaping a human-shaped figure in a digital video comprising the steps: acquiring a body model of the figure from the digital video, adapting a shape of the body model, modifying frames of the video, based on the adapted body model and outputting the video.
Proceedings Article
Demo of VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera
Dushyant Mehta,Srinath Sridhar,Oleksandr Sotnychenko,Helge Rhodin,Franziska Mueller,Weipeng Xu,Dan Casas,Christian Theobalt +7 more
3D Image Analysis and Synthesis at MPI Informatik
TL;DR: This paper has developed a model-based system to acquire, reconstruct and render free-viewpoint videos of human actors that nicely illustrates the concept of 3D Image Analysis and Synthesis.
Journal ArticleDOI
Scene-aware Egocentric 3D Human Pose Estimation
TL;DR: Zhang et al. as discussed by the authors proposed a scene-aware egocentric pose estimation method that guides the prediction of the ego-centric pose with scene constraints, where the voxel-based feature representation provides the direct geometric connection between 2D image features and scene geometry, and further facilitates the V2V network to constrain the predicted pose based on the estimated scene geometry.
Journal ArticleDOI
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
Bingchen Zhao,Jiahao Wang,Wufei Ma,Si-Jia Yang,Shaozuo Yu,Oliver Zendel,Christian Theobalt,Alan L. Yuille,Adam Kortylewski +8 more
TL;DR: The OOD-CV-v2 dataset as discussed by the authors is a benchmark dataset that includes out-of-distribution examples of 10 object categories in terms of pose, shape, texture, context and the weather conditions, and enables benchmarking of models for image classification, object detection and 3D pose estimation.