Perceived Quality of BRDF Models

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dc.contributor.authorKavoosighafi, Behnazen_US
dc.contributor.authorMantiuk, Rafal K.en_US
dc.contributor.authorHajisharif, Saghien_US
dc.contributor.authorMiandji, Ehsanen_US
dc.contributor.authorUnger, Jonasen_US
dc.contributor.editorWang, Beibeien_US
dc.contributor.editorWilkie, Alexanderen_US
dc.date.accessioned2025-06-20T07:52:47Z
dc.date.available2025-06-20T07:52:47Z
dc.date.issued2025
dc.description.abstractMaterial appearance is commonly modeled with the Bidirectional Reflectance Distribution Functions (BRDFs), which need to trade accuracy for complexity and storage cost. To investigate the current practices of BRDF modeling, we collect the first high dynamic range stereoscopic video dataset that captures the perceived quality degradation with respect to a number of parametric and non-parametric BRDF models. Our dataset shows that the current loss functions used to fit BRDF models, such as mean-squared error of logarithmic reflectance values, correlate poorly with the perceived quality of materials in rendered videos. We further show that quality metrics that compare rendered material samples give a significantly higher correlation with subjective quality judgments, and a simple Euclidean distance in the ITP color space (DEITP) shows the highest correlation. Additionally, we investigate the use of different BRDF-space metrics as loss functions for fitting BRDF models and find that logarithmic mapping is the most effective approach for BRDF-space loss functions.en_US
dc.description.number4
dc.description.sectionheadersBSDF Models and Scattering
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume44
dc.identifier.doi10.1111/cgf.70162
dc.identifier.issn1467-8659
dc.identifier.pages13 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.70162
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf70162
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Perception; Reflectance modeling; Rendering
dc.subjectComputing methodologies → Perception
dc.subjectReflectance modeling
dc.subjectRendering
dc.titlePerceived Quality of BRDF Modelsen_US
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