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  LiveCap: Real-time Human Performance Capture from Monocular Video

Habermann, M., Xu, W., Zollhöfer, M., Pons-Moll, G., & Theobalt, C. (2019). LiveCap: Real-time Human Performance Capture from Monocular Video. ACM Transactions on Graphics, 38(2): 14. doi:10.1145/3311970.

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Genre: Journal Article
Latex : {LiveCap}: {R}eal-time Human Performance Capture from Monocular Video

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1810.02648.pdf (Preprint), 7MB
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© 2019 Association for Computing Machinery. This is the author’s version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ACM Transactions on Graphics, https://doi.org/10.1145/3311970
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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: 201920192019
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Habermann_TOG19
DOI: 10.1145/3311970
 Degree: -

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Project name : 4DRepLy
Grant ID : 770784
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: ACM Transactions on Graphics
Source Genre: Journal
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Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: 38 (2) Sequence Number: 14 Start / End Page: - Identifier: ISSN: 0730-0301
CoNE: https://pure.mpg.de/cone/journals/resource/954925533022