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

Mueller, F., Bernard, F., Sotnychenko, O., Mehta, D., Sridhar, S., Casas, D., et al. (2018). GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 49-59). Piscataway, NJ: IEEE. doi:10.1109/CVPR.2018.00013.

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Genre: Conference Paper
Latex : {GANerated} Hands for Real-Time {3D} Hand Tracking from Monocular {RGB}

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 Creators:
Mueller, Franziska1, Author           
Bernard, Florian1, Author           
Sotnychenko, Oleksandr1, Author           
Mehta, Dushyant1, Author           
Sridhar, Srinath2, Author           
Casas, Dan2, Author           
Theobalt, Christian1, Author           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 20182018
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Mueller_CVPR2018
DOI: 10.1109/CVPR.2018.00013
 Degree: -

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Title: 31st IEEE Conference on Computer Vision and Pattern Recognition
Place of Event: Salt Lake City, UT, USA
Start-/End Date: 2018-06-18 - 2018-06-22

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Title: IEEE/CVF Conference on Computer Vision and Pattern Recognition
  Abbreviation : CVPR 2018
  Subtitle : Proceedings
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 49 - 59 Identifier: ISBN: 978-1-5386-6420-9