Roomify: Spatially-Grounded Style Transformation for Immersive Virtual Environments
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arXiv
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| Auteurs principaux: | , , , , , , , |
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866914371620306944 |
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| author | Wang, Xueyang Cen, Qinxuan Bi, Weitao Ma, Yunxiang Yi, Xin Xiao, Robert Fu, Xinyi Li, Hewu |
| author_facet | Wang, Xueyang Cen, Qinxuan Bi, Weitao Ma, Yunxiang Yi, Xin Xiao, Robert Fu, Xinyi Li, Hewu |
| contents | We present Roomify, a spatially-grounded transformation system that generates themed virtual environments anchored to users' physical rooms while maintaining spatial structure and functional semantics. Current VR approaches face a fundamental trade-off: full immersion sacrifices spatial awareness, while passthrough solutions break presence. Roomify addresses this through spatially-grounded transformation - treating physical spaces as "spatial containers" that preserve key functional and geometric properties of furniture while enabling radical stylistic changes. Our pipeline combines in-situ 3D scene understanding, AI-driven spatial reasoning, and style-aware generation to create personalized virtual environments grounded in physical reality. We introduce a cross-reality authoring tool enabling fine-grained user control through MR editing and VR preview workflows. Two user studies validate our approach: one with 18 VR users demonstrates a 63% improvement in presence over passthrough and 26% over fully virtual baselines while maintaining spatial awareness; another with 8 design professionals confirms the system's creative expressiveness (scene quality: 5.95/7; creativity support: 6.08/7) and professional workflow value across diverse environments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_04917 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Roomify: Spatially-Grounded Style Transformation for Immersive Virtual Environments Wang, Xueyang Cen, Qinxuan Bi, Weitao Ma, Yunxiang Yi, Xin Xiao, Robert Fu, Xinyi Li, Hewu Human-Computer Interaction H.5.2; I.3.7 We present Roomify, a spatially-grounded transformation system that generates themed virtual environments anchored to users' physical rooms while maintaining spatial structure and functional semantics. Current VR approaches face a fundamental trade-off: full immersion sacrifices spatial awareness, while passthrough solutions break presence. Roomify addresses this through spatially-grounded transformation - treating physical spaces as "spatial containers" that preserve key functional and geometric properties of furniture while enabling radical stylistic changes. Our pipeline combines in-situ 3D scene understanding, AI-driven spatial reasoning, and style-aware generation to create personalized virtual environments grounded in physical reality. We introduce a cross-reality authoring tool enabling fine-grained user control through MR editing and VR preview workflows. Two user studies validate our approach: one with 18 VR users demonstrates a 63% improvement in presence over passthrough and 26% over fully virtual baselines while maintaining spatial awareness; another with 8 design professionals confirms the system's creative expressiveness (scene quality: 5.95/7; creativity support: 6.08/7) and professional workflow value across diverse environments. |
| title | Roomify: Spatially-Grounded Style Transformation for Immersive Virtual Environments |
| topic | Human-Computer Interaction H.5.2; I.3.7 |
| url | https://arxiv.org/abs/2603.04917 |