Roomify: Spatially-Grounded Style Transformation for Immersive Virtual Environments
Xueyang Wang, Qinxuan Cen, Weitao Bi, Yunxiang Ma, Xin Yi, Robert Xiao, Xinyi Fu, Hewu Li
Abstract
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.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 2df38c6e-11da-491f-b27c-9a6835c7f8a2Builds on44
- Adding Conditional Control to Text-to-Image Diffusion ModelsLvmin Zhang, Anyi Rao, Maneesh AgrawalaICCV 2023 · 6,759 citations
- An Aligned Rank Transform Procedure for Multifactor Contrast TestsLisa A. Elkin, Matthew Kay, James J. Higgins, Jacob O. WobbrockUIST 2021 · 671 citations
- Instruct-NeRF2NeRF: Editing 3D Scenes with InstructionsAyaan Haque, Matthew Tancik, Alexei A. Efros, Aleksander Holynski et al.ICCV 2023 · 544 citations
- 3D Scene Graph: A Structure for Unified Semantics, 3D Space, and CameraIro Armeni, Zhi-Yang He, Amir Zamir, JunYoung Gwak et al.ICCV 2019 · 474 citations
- DreamFusion: Text-to-3D using 2D DiffusionBen Poole, Ajay Jain, Jonathan T. Barron, Ben MildenhallICLR 2023 · 463 citations
Related papers
- SpaceBlender: Creating Context-Rich Collaborative Spaces Through Generative 3D Scene BlendingNels Numan, Shwetha Rajaram, Balasaravanan Thoravi Kumaravel, Nicolai Marquardt et al.UIST 2024 · 17 citations
- RoomDreaming: Generative-AI Approach to Facilitating Iterative, Preliminary Interior Design ExplorationShun-Yu Wang, Wei-Chung Su, Serena Chen, Ching-Yi Tsai et al.CHI 2024 · 33 citations
- In Situ 3D Scene Synthesis for Ubiquitous Embodied InterfacesHaiyan Jiang, Leiyu Song, Dongdong Weng, Zhe Sun et al.ACM MM 2024 · 3 citations
- Style-aware Augmented Virtuality Embeddings (SAVE)Johannes Hoster, Dennis Ritter, Kristian HildebrandIEEE VR 2023 · 4 citations
- Storycaster: An AI System for Immersive Room-based StorytellingNaisha Agarwal, Judith Amores, Andrew D. WilsonCHI 2026 · 2 citations
