A Study on the Use of High Dynamic Range Imaging for Gaussian Splatting Methods: Are 8 bits Enough?

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dc.contributor.authorPiras, Valentinaen_US
dc.contributor.authorBonatti, Amedeo Francoen_US
dc.contributor.authorMaria, Carmelo Deen_US
dc.contributor.authorCignoni, Paoloen_US
dc.contributor.authorBanterle, Francescoen_US
dc.contributor.editorCaputo, Arielen_US
dc.contributor.editorGarro, Valeriaen_US
dc.contributor.editorGiachetti, Andreaen_US
dc.contributor.editorCastellani, Umbertoen_US
dc.contributor.editorDulecha, Tinsae Gebrechristosen_US
dc.date.accessioned2024-11-11T12:48:21Z
dc.date.available2024-11-11T12:48:21Z
dc.date.issued2024
dc.description.abstractThe recent rise of Neural Radiance Fields (NeRFs)-like methods has revolutionized high-fidelity scene reconstruction, with 3D Gaussian Splatting (3DGS) standing out for its ability to generate photorealistic images while maintaining fast, efficient rendering. 3DGS delivers high-fidelity representations of complex scenes at any scale (from very small objects to entire cities), accurately capturing geometry, materials, and lighting, while meeting the need for fast and efficient rendering-crucial for applications requiring real-time performance. Although High Dynamic Range (HDR) technology, which enables the capture of comprehensive real-world lighting information, has been used in novel view synthesis, several questions remain unanswered. For example, does HDR improve the overall quality of reconstruction? Are 8 bits enough? Can tone mapped images be a balanced compromise regarding quality and details? To answer such questions, in this work, we study the application of HDR technology on the 3DGS method for acquiring real-world scenes.en_US
dc.description.sectionheadersRendering
dc.description.seriesinformationSmart Tools and Applications in Graphics - Eurographics Italian Chapter Conference
dc.identifier.doi10.2312/stag.20241341
dc.identifier.isbn978-3-03868-265-3
dc.identifier.issn2617-4855
dc.identifier.pages10 pages
dc.identifier.urihttps://doi.org/10.2312/stag.20241341
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/stag20241341
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; Computational photography; Reconstruction
dc.subjectComputing methodologies → Rendering
dc.subjectComputational photography
dc.subjectReconstruction
dc.titleA Study on the Use of High Dynamic Range Imaging for Gaussian Splatting Methods: Are 8 bits Enough?en_US
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Italian Chapter Conference 2024 - Smart Tools and Apps in Graphics