Epistemic Uncertainty Quantification and 3D Point Cloud Generation Using Explicit Generative Models
dc.contributor.author
Postels, Janis
dc.contributor.supervisor
Van Gool, Luc
dc.contributor.supervisor
Günnemann, Stephan
dc.contributor.supervisor
Wang, Hao
dc.date.accessioned
2024-04-17T06:05:16Z
dc.date.available
2024-04-15T20:42:33Z
dc.date.available
2024-04-16T19:48:09Z
dc.date.available
2024-04-17T06:05:16Z
dc.date.issued
2024
dc.identifier.uri
http://hdl.handle.net/20.500.11850/668845
dc.identifier.doi
10.3929/ethz-b-000668845
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.title
Epistemic Uncertainty Quantification and 3D Point Cloud Generation Using Explicit Generative Models
en_US
dc.type
Doctoral Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2024-04-17
ethz.size
151 p.
en_US
ethz.code.ddc
DDC - DDC::0 - Computer science, information & general works::004 - Data processing, computer science
en_US
ethz.identifier.diss
30083
en_US
ethz.publication.place
Zurich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02652 - Institut für Bildverarbeitung / Computer Vision Laboratory::03514 - Van Gool, Luc / Van Gool, Luc
en_US
ethz.date.deposited
2024-04-15T20:42:34Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2024-04-17T06:05:18Z
ethz.rosetta.lastUpdated
2024-04-17T06:05:18Z
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true
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Doctoral Thesis [29839]