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  DeepCap: Monocular Human Performance Capture Using Weak Supervision

Habermann, M., Xu, W., Zollhöfer, M., Pons-Moll, G., & Theobalt, C. (2020). DeepCap: Monocular Human Performance Capture Using Weak Supervision. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 5051-5062). Piscataway, NJ: IEEE. doi:10.1109/CVPR42600.2020.00510.

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Genre: Conference Paper
Latex : {DeepCap}: {M}onocular Human Performance Capture Using Weak Supervision

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2003.08325.pdf (Preprint), 3MB
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© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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 Creators:
Habermann, Marc1, Author           
Xu, Weipeng1, Author           
Zollhöfer, Michael2, Author           
Pons-Moll, Gerard3, Author                 
Theobalt, Christian1, Author                 
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
2External Organizations, ou_persistent22              
3Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              

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Language(s): eng - English
 Dates: 20202020
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: deepcap2020
DOI: 10.1109/CVPR42600.2020.00510
 Degree: -

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Title: 33rd IEEE Conference on Computer Vision and Pattern Recognition
Place of Event: Seattle, WA, USA (Virtual)
Start-/End Date: 2020-06-14 - 2020-06-19

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Project name : 4DRepLy
Grant ID : 770784
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)
Project name : Real Virtual Humans (RVHu)
Grant ID : 409792180
Funding program : Emmy Noether Programme
Funding organization : Deutsche Forschungsgemeinschaft (DFG)

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Title: IEEE/CVF Conference on Computer Vision and Pattern Recognition
  Abbreviation : CVPR 2020
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 5051 - 5062 Identifier: ISBN: 978-1-7281-7168-5