DecoMind: A Generative AI System for Personalized Interior Design Layouts
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Acceso en línea: | |
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| _version_ | 1866916912290594816 |
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| author | Alshehri, Reema Alotaibi, Rawan Almasri, Leen Altaweel, Rawan |
| author_facet | Alshehri, Reema Alotaibi, Rawan Almasri, Leen Altaweel, Rawan |
| contents | This paper introduces a system for generating interior design layouts based on user inputs, such as room type, style, and furniture preferences. CLIP extracts relevant furniture from a dataset, and a layout that contains furniture and a prompt are fed to Stable Diffusion with ControlNet to generate a design that incorporates the selected furniture. The design is then evaluated by classifiers to ensure alignment with the user's inputs, offering an automated solution for realistic interior design. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_16696 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | DecoMind: A Generative AI System for Personalized Interior Design Layouts Alshehri, Reema Alotaibi, Rawan Almasri, Leen Altaweel, Rawan Graphics Artificial Intelligence This paper introduces a system for generating interior design layouts based on user inputs, such as room type, style, and furniture preferences. CLIP extracts relevant furniture from a dataset, and a layout that contains furniture and a prompt are fed to Stable Diffusion with ControlNet to generate a design that incorporates the selected furniture. The design is then evaluated by classifiers to ensure alignment with the user's inputs, offering an automated solution for realistic interior design. |
| title | DecoMind: A Generative AI System for Personalized Interior Design Layouts |
| topic | Graphics Artificial Intelligence |
| url | https://arxiv.org/abs/2508.16696 |