SemanticSplatStylization: Semantic scene stylization based on 3D Gaussian splatting and class-based style transfer

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dc.contributor.authorSinha, Saptarshi Neilen_US
dc.contributor.authorGraf, Holgeren_US
dc.contributor.authorWeinmann, Michaelen_US
dc.contributor.editorCorsini, Massimilianoen_US
dc.contributor.editorFerdani, Danieleen_US
dc.contributor.editorKuijper, Arjanen_US
dc.contributor.editorKutlu, Hasanen_US
dc.date.accessioned2024-09-15T09:57:12Z
dc.date.available2024-09-15T09:57:12Z
dc.date.issued2024
dc.description.abstractWe propose a novel approach for 3D Semantic Style Transfer in 3D Gaussian Splatting (3DGS) that applies style transfer to specific segments of a 3D scene using 2D style images. Our method leverages a finetuning of 3D Gaussian splats and fast 2D class-based style transfer to achieve targeted stylization with superior fidelity and multi-view consistency compared to existing state-of-the- art methods. By incorporating a semantic understanding, our approach ensures precise, context-aware stylization, aligning the visual characteristics of segments with their intended style. The application of 3D Semantic Style Transfer in cultural heritage preservation and restoration holds significant potential. By accurately capturing and transferring styles onto specific segments of cultural heritage objects, our approach demonstrates the potential of providing more accurate and visually appealing stylization results that preserve the integrity and historical significance of cultural heritage artifacts.en_US
dc.description.sectionheadersColour, AI-based Styling and Texturing
dc.description.seriesinformationEurographics Workshop on Graphics and Cultural Heritage
dc.identifier.doi10.2312/gch.20241256
dc.identifier.isbn978-3-03868-248-6
dc.identifier.issn2312-6124
dc.identifier.pages4 pages
dc.identifier.urihttps://doi.org/10.2312/gch.20241256
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/gch20241256
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 → Rasterization; Artificial intelligence; Image manipulation
dc.subjectComputing methodologies → Rasterization
dc.subjectArtificial intelligence
dc.subjectImage manipulation
dc.titleSemanticSplatStylization: Semantic scene stylization based on 3D Gaussian splatting and class-based style transferen_US
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GCH 2024 - Eurographics Workshop on Graphics and Cultural Heritage