RT-Percept Scenes

All scenes shown in Training and Predicting Visual Error for Real-Time Applications. For each scene, includes: .py script to load the scene with correct settings on the RT-Percept renderer .blender project capable of generating random viewpoints on the scene .cfg with our sampled viewpoint pairs all...

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Bibliographic Details
Main Authors: Cardoso, Joao Afonso, Kerbl, Bernhard
Format: Other/Unknown Material
Language:unknown
Published: TU Wien 2022
Subjects:
Orca
Online Access:https://doi.org/10.48436/py0ks-zzv95
id fttuwienrd:oai:researchdata.tuwien.ac.at:py0ks-zzv95
record_format openpolar
spelling fttuwienrd:oai:researchdata.tuwien.ac.at:py0ks-zzv95 2024-06-23T07:55:58+00:00 RT-Percept Scenes Cardoso, Joao Afonso Kerbl, Bernhard 2022-03-24 https://doi.org/10.48436/py0ks-zzv95 unknown TU Wien doi:10.1145/3522625 doi:10.48436/py0ks-zzv95 oai:researchdata.tuwien.ac.at:py0ks-zzv95 info:eu-repo/semantics/openAccess Creative Commons Attribution Non Commercial 4.0 International https://creativecommons.org/licenses/by-nc/4.0/legalcode info:eu-repo/semantics/other 2022 fttuwienrd https://doi.org/10.48436/py0ks-zzv9510.1145/3522625 2024-06-12T23:33:32Z All scenes shown in Training and Predicting Visual Error for Real-Time Applications. For each scene, includes: .py script to load the scene with correct settings on the RT-Percept renderer .blender project capable of generating random viewpoints on the scene .cfg with our sampled viewpoint pairs all required geometry, material and texture data, which is either copied or modified from existing sources (licensed for freely distribution) and included by us for sake of conveniency. we do not claim authorship nor ownership of any that data. See McGuire CG Archive and ORCA for the originals of these scenes. Other/Unknown Material Orca TU Wien Research Data
institution Open Polar
collection TU Wien Research Data
op_collection_id fttuwienrd
language unknown
description All scenes shown in Training and Predicting Visual Error for Real-Time Applications. For each scene, includes: .py script to load the scene with correct settings on the RT-Percept renderer .blender project capable of generating random viewpoints on the scene .cfg with our sampled viewpoint pairs all required geometry, material and texture data, which is either copied or modified from existing sources (licensed for freely distribution) and included by us for sake of conveniency. we do not claim authorship nor ownership of any that data. See McGuire CG Archive and ORCA for the originals of these scenes.
format Other/Unknown Material
author Cardoso, Joao Afonso
Kerbl, Bernhard
spellingShingle Cardoso, Joao Afonso
Kerbl, Bernhard
RT-Percept Scenes
author_facet Cardoso, Joao Afonso
Kerbl, Bernhard
author_sort Cardoso, Joao Afonso
title RT-Percept Scenes
title_short RT-Percept Scenes
title_full RT-Percept Scenes
title_fullStr RT-Percept Scenes
title_full_unstemmed RT-Percept Scenes
title_sort rt-percept scenes
publisher TU Wien
publishDate 2022
url https://doi.org/10.48436/py0ks-zzv95
genre Orca
genre_facet Orca
op_relation doi:10.1145/3522625
doi:10.48436/py0ks-zzv95
oai:researchdata.tuwien.ac.at:py0ks-zzv95
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution Non Commercial 4.0 International
https://creativecommons.org/licenses/by-nc/4.0/legalcode
op_doi https://doi.org/10.48436/py0ks-zzv9510.1145/3522625
_version_ 1802648781853818880

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