Inverse Rendering of Translucent Objects with Shape-Adaptive Importance Sampling

dc.contributor.authorSon, Jooeunen_US
dc.contributor.authorJung, Yucheolen_US
dc.contributor.authorLee, Gyeongminen_US
dc.contributor.authorKim, Soongjinen_US
dc.contributor.authorLee, Joo Hoen_US
dc.contributor.authorLee, Seungyongen_US
dc.contributor.editorChen, Renjieen_US
dc.contributor.editorRitschel, Tobiasen_US
dc.contributor.editorWhiting, Emilyen_US
dc.date.accessioned2024-10-13T18:04:20Z
dc.date.available2024-10-13T18:04:20Z
dc.date.issued2024
dc.description.abstractSubsurface scattering is ubiquitous in organic materials and has been widely researched in computer graphics. Inverse rendering of subsurface scattering, however, is often constrained by the planar geometry assumption of traditional analytic Bidirectional Surface Scattering Reflectance Distribution Functions (BSSRDF). To address this issue, a shape-adaptive BSSRDF model has been proposed to render translucent objects on curved geometry with high accuracy. In this paper, we leverage this model to estimate parameters of subsurface scattering for inverse rendering. We compute the finite difference of the rendering equation for subsurface scattering and iteratively update material parameters. We demonstrate the performance of our shapeadaptive inverse rendering model by analyzing the estimation accuracy and comparing to inverse rendering with plane-based BSSRDF models and volumetric methods.en_US
dc.description.sectionheadersRendering and Lighting II
dc.description.seriesinformationPacific Graphics Conference Papers and Posters
dc.identifier.doi10.2312/pg.20241294
dc.identifier.isbn978-3-03868-250-9
dc.identifier.pages10 pages
dc.identifier.urihttps://doi.org/10.2312/pg.20241294
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/pg20241294
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.subjectComputing methodologies
dc.subjectRendering
dc.titleInverse Rendering of Translucent Objects with Shape-Adaptive Importance Samplingen_US
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