English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations

MPS-Authors
/persons/resource/persons226650

Tretschk,  Edgar
Computer Graphics, MPI for Informatics, Max Planck Society;

/persons/resource/persons206546

Tewari,  Ayush
Computer Graphics, MPI for Informatics, Max Planck Society;

/persons/resource/persons239654

Golyanik,  Vladislav
Computer Graphics, MPI for Informatics, Max Planck Society;

/persons/resource/persons45610

Theobalt,  Christian       
Computer Graphics, MPI for Informatics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

123610290.pdf
(Preprint), 6MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Tretschk, E., Tewari, A., Golyanik, V., Zollhöfer, M., Stoll, C., & Theobalt, C. (2020). PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations. In A. Vedaldi, H. Bischof, T. Brox, & J.-M. Frahm (Eds.), Computer Vision -- ECCV 2020 (pp. 293-309). Berlin: Springer. doi:10.1007/978-3-030-58517-4_18.


Cite as: https://hdl.handle.net/21.11116/0000-0007-D095-5
Abstract
There is no abstract available