A Lightweight 3D Gaussian Splatting Based Virtual Object Insertion Strategy for Casually Captured Scenes

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dc.contributor.authorWirth, Tristanen_US
dc.contributor.authorHagemeister, Vickyen_US
dc.contributor.authorKnauthe, Volkeren_US
dc.contributor.authorKuijper, Arjanen_US
dc.contributor.authorFellner, Dieter W.en_US
dc.contributor.editorSheng, Yunen_US
dc.contributor.editorSlingsby, Aidanen_US
dc.date.accessioned2025-09-09T05:12:14Z
dc.date.available2025-09-09T05:12:14Z
dc.date.issued2025
dc.description.abstractThe physically plausible insertion of virtual objects into scenes captured by multi-view images can be applied to multiple domains such as urban planning, augmented reality and digital marketplaces. Recent advancements in Novel View Synthesis, such as 3D Gaussian Splatting provide photorealistic representations of casually captured scenes. This raises the question if these advancements can be incorporated into the virtual insertion of single objects. In this work, we propose a lightweight strategy that estimates the effects of light interaction between a virtually inserted mesh model with corresponding material properties and a scene represented as 3D Gaussian Splats. Our approach poses minimal constraints on the capturing setup, only relying on casually captured LDR multi-view scenes, i.e., by a smartphone, while demonstrating comparable visual fidelity to strategies that pose more constraints on the capturing process.en_US
dc.description.sectionheadersGeometry, Rendering, Animation
dc.description.seriesinformationComputer Graphics and Visual Computing (CGVC)
dc.identifier.doi10.2312/cgvc.20251210
dc.identifier.isbn978-3-03868-293-6
dc.identifier.pages11 pages
dc.identifier.urihttps://doi.org/10.2312/cgvc.20251210
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/cgvc20251210
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 → Mixed / augmented reality; Image-based rendering
dc.subjectComputing methodologies → Mixed / augmented reality
dc.subjectImage
dc.subjectbased rendering
dc.titleA Lightweight 3D Gaussian Splatting Based Virtual Object Insertion Strategy for Casually Captured Scenesen_US
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