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  Face2Face: Real-Time Face Capture and Reenactment of RGB Videos

Thies, J., Zollhöfer, M., Stamminger, M., Theobalt, C., & Nießner, M. (2016). Face2Face: Real-Time Face Capture and Reenactment of RGB Videos. In 29th IEEE Conference on Computer Vision and Pattern Recognition (pp. 2387-2395). Los Alamitos, CA: IEEE Computer Society. doi:10.1109/CVPR.2016.262.

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Genre: Conference Paper
Latex : {Face2Face}: {R}eal-Time Face Capture and Reenactment of {RGB} Videos
Other : FaceToFace ; Face to Face

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 Creators:
Thies, Justus1, Author           
Zollhöfer, Michael2, Author           
Stamminger, Marc1, Author           
Theobalt, Christian2, Author                 
Nießner, Matthias1, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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Language(s): eng - English
 Dates: 2016-03-022016-12-122016
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: thies2016face
DOI: 10.1109/CVPR.2016.262
 Degree: -

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Title: 29th IEEE Conference on Computer Vision and Pattern Recognition
Place of Event: Las Vegas, NV, USA
Start-/End Date: 2016-06-26 - 2016-07-01

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Title: 29th IEEE Conference on Computer Vision and Pattern Recognition
  Abbreviation : CVPR 2016
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Los Alamitos, CA : IEEE Computer Society
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 2387 - 2395 Identifier: ISBN: 978-1-4673-8852-8