Constrained Spectral Uplifting for HDR Environment Maps

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dc.contributor.authorTódová, Luciaen_US
dc.contributor.authorWilkie, Alexanderen_US
dc.contributor.editorHaines, Ericen_US
dc.contributor.editorGarces, Elenaen_US
dc.date.accessioned2024-06-25T11:05:49Z
dc.date.available2024-06-25T11:05:49Z
dc.date.issued2024
dc.description.abstractSpectral representation of assets is an important precondition for achieving physical realism in rendering. However, defining assets by their spectral distribution is complicated and tedious. Therefore, it has become general practice to create RGB assets and convert them into their spectral counterparts prior to rendering. This process is called spectral uplifting. While a multitude of techniques focusing on reflectance uplifting exist, the current state of the art of uplifting emission for image-based lighting consists of simply scaling reflectance uplifts. Although this is usable insofar as the obtained overall scene appearance is not unrealistic, the generated emission spectra are only metamers of the original illumination. This, in turn, can cause deviations from the expected appearance even if the rest of the scene corresponds to real world data. We propose a method capable of uplifting HDR environment maps based on spectral measurements of light sources similar to those present in the maps. To identify the illuminants, we employ an extensive set of emission measurements, and we combine the results with an existing reflectance uplifting method. In addition, we address the problem of environment map capture for the purposes of a spectral rendering pipeline, for which we propose a novel solution.en_US
dc.description.sectionheadersLight and Textures
dc.description.seriesinformationEurographics Symposium on Rendering
dc.identifier.doi10.2312/sr.20241153
dc.identifier.isbn978-3-03868-262-2
dc.identifier.issn1727-3463
dc.identifier.pages11 pages
dc.identifier.urihttps://doi.org/10.2312/sr.20241153
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/sr20241153
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies -> Rendering
dc.subjectCCS Concepts
dc.subjectComputing methodologies
dc.subject> Rendering
dc.titleConstrained Spectral Uplifting for HDR Environment Mapsen_US
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