Patch-based Progressive 3D Point Set Upsampling
dc.contributor.author
Wang, Yifan
dc.contributor.author
Wu, Shihao
dc.contributor.author
Huang, Hui
dc.contributor.author
Cohen-Or, Daniel
dc.contributor.author
Sorkine-Hornung, Olga
dc.date.accessioned
2020-01-27T11:40:48Z
dc.date.available
2020-01-04T14:23:48Z
dc.date.available
2020-01-27T11:40:48Z
dc.date.issued
2019
dc.identifier.isbn
978-1-7281-3293-8
en_US
dc.identifier.isbn
978-1-7281-3294-5
en_US
dc.identifier.other
10.1109/CVPR.2019.00611
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/387492
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.subject
Vision + Graphics
en_US
dc.subject
3D from multiview and sensors
en_US
dc.subject
Deep learning
en_US
dc.title
Patch-based Progressive 3D Point Set Upsampling
en_US
dc.type
Conference Paper
dc.date.published
2020-01-09
ethz.book.title
Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019)
en_US
ethz.pages.start
5951
en_US
ethz.pages.end
5960
en_US
ethz.event
32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019)
en_US
ethz.event.location
Long Beach, CA, USA
en_US
ethz.event.date
June 15-20, 2019
en_US
ethz.grant
Deformation and Motion Modeling using Modular, Sensor-based Input Devices
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
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ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02659 - Institut für Visual Computing / Institute for Visual Computing::03911 - Sorkine Hornung, Olga / Sorkine Hornung, Olga
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02659 - Institut für Visual Computing / Institute for Visual Computing::03911 - Sorkine Hornung, Olga / Sorkine Hornung, Olga
en_US
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162958
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162958
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162958
ethz.grant.fundername
SNF
ethz.grant.fundername
SNF
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.program
Projekte MINT
ethz.date.deposited
2020-01-04T14:24:03Z
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FORM
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yes
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ethz.availability
Metadata only
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ethz.rosetta.installDate
2020-01-27T11:41:01Z
ethz.rosetta.lastUpdated
2023-02-06T18:13:47Z
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Conference Paper [35277]