International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | AI-Powered Virtual Interior Design |
|---|---|
| ABSTRACT | Interior design visualization traditionally requires professional expertise, repeated consultations, and significant time and cost. Many users find it difficult to convert design ideas into realistic visual representations. This paper presents an AI-powered virtual interior designer that utilizes generative artificial intelligence and computer vision techniques to automatically generate and modify interior room designs. The proposed system accepts user inputs in the form of text prompts or room images and generates realistic interior design visualizations using the Stable Diffusion XL model. Additionally, the system integrates object detection to identify furniture elements and employs visual similarity search to recommend decor items. A user-friendly web interface enables real-time interaction and iterative design refinement. Experimental evaluation demonstrates that the proposed system provides realistic, customizable, and efficient interior design visualization, making interior design more accessible to non-professional users. |
| AUTHOR | PROF. BHAVYA H S, PROF. UZMA TABASSUM, DIMPLE N, SHREYA SHREE R RAJU, DHEERAJ Y, MANVITH M N Department of Computer Science and Engineering, Maharaja Institute of Technology Mysore Affiliated to Visvesvaraya Technological University (VTU), Belagavi, Karnataka, India |
| VOLUME | 180 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1401029 |
| pdf/29_AI-Powered Virtual Interior Design.pdf | |
| KEYWORDS | |
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