Still2Scene: Hybrid Gaussian Environments for Virtual Production

dc.contributor.authorSun, Xiaohan en_US
dc.contributor.authorO'Sullivan, Carol en_US
dc.contributor.editorGerrits, Timen_US
dc.contributor.editorTeschner, Matthiasen_US
dc.date.accessioned2026-04-21T13:57:28Z
dc.date.available2026-04-21T13:57:28Z
dc.date.issued2026
dc.description.abstractVirtual production often requires rapidly generated background environments that support real-time rendering and limited camera motion. While volumetric 3D Gaussian splatting provides high visual fidelity, it is computationally expensive, whereas planar billboard representations are efficient but lack geometric depth. We present a hybrid Gaussian scene representation that converts a single image into a lightweight navigable environment for virtual production. The proposed approach combines volumetric foreground Gaussians with planar Gaussian primitives for distant regions, while additional billboard assets can be synthesized using diffusion-based image prompting. The resulting hybrid scene can be deployed directly in Unreal® Engine for real-time rendering. This workflow enables fast environment generation from images and provides a practical middle-ground between static backplates and fully authored 3D environments in virtual production pipelines.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationEurographics 2026 - Posters
dc.identifier.doi10.2312/egp.20261012
dc.identifier.isbn978-3-03868-300-1
dc.identifier.issn1017-4656
dc.identifier.pages2 pages
dc.identifier.urihttps://doi.org/10.2312/egp.20261012
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/egp20261012
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 → Image-based rendering; Rendering; Scene modeling
dc.subjectCCS Concepts
dc.subjectComputing methodologies
dc.subjectImage-based rendering
dc.subjectRendering
dc.subjectScene modeling
dc.titleStill2Scene: Hybrid Gaussian Environments for Virtual Productionen_US
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