Abstract: This paper presents an end- to- end intelligent system that integrates generative artificial intelligence (AI) and immersive virtual reality (VR) for automated interior design. The proposed system, called AIVID (AI Virtual Interior developer), combines procedural layout generation, rule- grounded refinement, and real- time immersive evaluation. The system accepts room figure and design constraints as input, automatically generates layout proffers using a tentative variational autoencoder (CVAE) and a graph- grounded layout refinement network, and allows druggies to fantasize, edit, and estimate designs interactively within a VR terrain. stoner feedback attained in real- time is used to acclimatize posterior design proffers. An airman study comparing AIVID with a traditional homemade design workflow demonstrated a 34 reduction in decision time, a 12- point increase in usability (SUS score), and a 0.42- point increase in stoner satisfaction. The study validates the eventuality of AI- driven immersive systems to accelerate and epitomize interior design workflows.
Keywords: Virtual Reality, Generative AI, Interior Design, Procedural Generation, Layout Optimization, Human- Computer Interaction.
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DOI:
10.17148/IJARCCE.2025.141107
[1] Prof. Madhuri Parate, Shruti Bangare, Trupti Khairkar, Anurag Gajbhiye, Ashva gosh Gaurkhede, Jay Ingole, "An End-to-End AI-Driven Virtual Interior Designer: Procedural Layout Generation and Real-Time Immersive Evaluation," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.141107
