RT-Percept Scenes

DOI

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.

Identifier
DOI https://doi.org/10.48436/py0ks-zzv95
Related Identifier IsSupplementTo https://doi.org/10.1145/3522625
Related Identifier IsVersionOf https://doi.org/10.48436/bh7vv-3ar20
Metadata Access https://researchdata.tuwien.ac.at/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:researchdata.tuwien.ac.at:py0ks-zzv95
Provenance
Creator Cardoso, Joao Afonso ORCID logo; Kerbl, Bernhard ORCID logo
Publisher TU Wien
Publication Year 2022
Rights Creative Commons Attribution Non Commercial 4.0 International; https://creativecommons.org/licenses/by-nc/4.0/legalcode
OpenAccess true
Contact tudata(at)tuwien.ac.at
Representation
Resource Type Other
Discipline Other