1 code implementation • CVPR 2018 • Thiemo Alldieck, Marcus Magnor, Weipeng Xu, Christian Theobalt, Gerard Pons-Moll
This paper describes how to obtain accurate 3D body models and texture of arbitrary people from a single, monocular video in which a person is moving.
1 code implementation • ICCV 2019 • Thiemo Alldieck, Gerard Pons-Moll, Christian Theobalt, Marcus Magnor
From a partial texture, we estimate detailed normal and vector displacement maps, which can be applied to a low-resolution smooth body model to add detail and clothing.
1 code implementation • CVPR 2019 • Thiemo Alldieck, Marcus Magnor, Bharat Lal Bhatnagar, Christian Theobalt, Gerard Pons-Moll
We present a learning-based model to infer the personalized 3D shape of people from a few frames (1-8) of a monocular video in which the person is moving, in less than 10 seconds with a reconstruction accuracy of 5mm.
1 code implementation • 3 Aug 2018 • Thiemo Alldieck, Marcus Magnor, Weipeng Xu, Christian Theobalt, Gerard Pons-Moll
We present a novel method for high detail-preserving human avatar creation from monocular video.
1 code implementation • CVPR 2021 • Moritz Kappel, Vladislav Golyanik, Mohamed Elgharib, Jann-Ole Henningson, Hans-Peter Seidel, Susana Castillo, Christian Theobalt, Marcus Magnor
We address these limitations for the first time in the literature and present a new framework which performs high-fidelity and temporally-consistent human motion transfer with natural pose-dependent non-rigid deformations, for several types of loose garments.
no code implementations • 1 Mar 2017 • Thiemo Alldieck, Marc Kassubeck, Marcus Magnor
Under the assumption that starting from an initial pose optical flow constrains subsequent human motion, we exploit flow to find temporally coherent human poses of a motion sequence.
no code implementations • 28 Mar 2014 • Dirk A. Lorenz, Stephan Wenger, Frank Schöpfer, Marcus Magnor
An algorithmic framework to compute sparse or minimal-TV solutions of linear systems is proposed.
no code implementations • 5 Feb 2021 • Felix Klose, Oliver Wang, Jean-Charles Bazin, Marcus Magnor, Alexander Sorkine-Hornung
We present a novel, sampling-based framework for processing video that enables high-quality scene-space video effects in the presence of inevitable errors in depth and camera pose estimation.
no code implementations • 13 Dec 2021 • Marc Kassubeck, Moritz Kappel, Susana Castillo, Marcus Magnor
This paper deals with the highly challenging problem of reconstructing the shape of a refracting object from a single image of its resulting caustic.
no code implementations • 2 Dec 2022 • Moritz Kappel, Vladislav Golyanik, Susana Castillo, Christian Theobalt, Marcus Magnor
The reconstruction and novel view synthesis of dynamic scenes recently gained increased attention.
no code implementations • 25 Mar 2024 • Florian Hahlbohm, Linus Franke, Moritz Kappel, Susana Castillo, Marc Stamminger, Marcus Magnor
We introduce a new approach for reconstruction and novel-view synthesis of unbounded real-world scenes.