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  DeepDeform: Learning Non-Rigid RGB-D Reconstruction With Semi-Supervised Data

Božič, A., Zollhöfer, M., Theobalt, C., & Nießner, M. (2020). DeepDeform: Learning Non-Rigid RGB-D Reconstruction With Semi-Supervised Data. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 7000-7010). Piscataway, NJ: IEEE. doi:10.1109/CVPR42600.2020.00703.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0007-CF63-1 Version Permalink: https://hdl.handle.net/21.11116/0000-0007-CF64-0
Genre: Conference Paper
Latex : {DeepDeform}: {L}earning Non-Rigid {RGB}-{D} Reconstruction With Semi-Supervised Data

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 Creators:
Božič, Aljaž1, Author
Zollhöfer, Michael1, 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: 20202020
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Bozic_CVPR2020
DOI: 10.1109/CVPR42600.2020.00703
 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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Title: IEEE/CVF Conference on Computer Vision and Pattern Recognition
  Abbreviation : CVPR 2020
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 7000 - 7010 Identifier: ISBN: 978-1-7281-7168-5