<div class="csl-bib-body">
<div class="csl-entry">Freude, C., Sakai, H., Zsolnai-Fehér, K., & Wimmer, M. (2023). Sampling-Distribution-Based Evaluation for Monte Carlo Rendering. In <i>Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications</i> (pp. 119–130). Scitepress. https://doi.org/10.34726/3841</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/175763
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dc.identifier.uri
https://doi.org/10.34726/3841
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dc.description.abstract
In this paper, we investigate the application of per-pixel difference metrics for evaluating Monte Carlo (MC) rendering techniques. In particular, we propose to take the sampling distribution of the mean (SDM) into account for this purpose. We establish the theoretical background and analyze other per-pixel difference metrics, such as the absolute deviation (AD) and the mean squared error (MSE) in relation to the SDM. Based on insights from this analysis, we propose a new, alternative, and particularly easy-to-use approach, which builds on the SDM and facilitates meaningful comparisons of MC rendering techniques on a per-pixel basis. In order to demonstrate the usefulness of our approach, we compare it to commonly used metrics based on a variety of images computed with different rendering techniques. Our evaluation reveals limitations of commonly used metrics, in particular regarding the detection of differences between renderings that might be difficult to detect otherwise—this circ umstance is particularly apparent in comparison to the MSE calculated for each pixel. Our results indicate the potential of SDM-based approaches to reveal differences between MC renderers that might be caused by conceptual or implementation-related issues. Thus, we understand our approach as a way to facilitate the development and evaluation of rendering techniques.
en
dc.description.sponsorship
FWF Fonds zur Förderung der wissenschaftlichen Forschung (FWF)
-
dc.description.sponsorship
FWF Fonds zur Förderung der wissenschaftlichen Forschung (FWF)
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dc.language.iso
en
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dc.relation.ispartofseries
VISIGRAPP
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dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.subject
computer graphics
en
dc.subject
Rendering
en
dc.subject
Ray Tracing
en
dc.subject
Evaluation
en
dc.subject
Validation
en
dc.title
Sampling-Distribution-Based Evaluation for Monte Carlo Rendering
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
en
dc.rights.license
Creative Commons Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International
de
dc.identifier.doi
10.34726/3841
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dc.relation.isbn
978-989-758-634-7
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dc.relation.doi
10.5220/0000171000003417
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dc.relation.issn
2184-5921
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dc.description.startpage
119
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dc.description.endpage
130
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dc.relation.grantno
ORD 61-VO
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dc.relation.grantno
F77
-
dc.type.category
Full-Paper Contribution
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dc.relation.eissn
2184-4321
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tuw.booktitle
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
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tuw.container.volume
1
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tuw.peerreviewed
true
-
tuw.book.ispartofseries
VISIGRAPP
-
tuw.relation.publisher
Scitepress
-
tuw.project.title
A Test Suite for Photorealistic Rendering and Filtering
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tuw.project.title
Advanced Computational Design
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tuw.researchTopic.id
C5
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tuw.researchTopic.name
Computer Science Foundations
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E193-02 - Forschungsbereich Computer Graphics
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tuw.publisher.doi
10.5220/0011886300003417
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dc.identifier.libraryid
AC17203481
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dc.description.numberOfPages
12
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tuw.author.orcid
0000-0002-9370-2663
-
dc.rights.identifier
CC BY-NC-ND 4.0
en
dc.rights.identifier
CC BY-NC-ND 4.0
de
tuw.event.name
18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (GRAPP)
en
tuw.event.startdate
19-02-2023
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tuw.event.enddate
21-02-2023
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tuw.event.online
Hybrid
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tuw.event.type
Event for scientific audience
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tuw.event.place
Lisbon
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tuw.event.country
PT
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tuw.event.presenter
Freude, Christian
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tuw.presentation.online
Online
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wb.sciencebranch
Informatik
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wb.sciencebranch
Mathematik
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wb.sciencebranch.oefos
1020
-
wb.sciencebranch.oefos
1010
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wb.sciencebranch.value
90
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wb.sciencebranch.value
10
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item.openaccessfulltext
Open Access
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item.cerifentitytype
Publications
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item.languageiso639-1
en
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.grantfulltext
open
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item.fulltext
with Fulltext
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item.mimetype
application/pdf
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item.openairetype
conference paper
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crisitem.author.dept
E193-02 - Forschungsbereich Computer Graphics
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crisitem.author.dept
E193-02 - Forschungsbereich Computer Graphics
-
crisitem.author.dept
E193-02 - Forschungsbereich Computer Graphics
-
crisitem.author.dept
E193-02 - Forschungsbereich Computer Graphics
-
crisitem.author.orcid
0000-0002-9370-2663
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
-
crisitem.project.funder
FWF Fonds zur Förderung der wissenschaftlichen Forschung (FWF)