Leveraging Generative AI in Creating Innovative and Functional Room Designs
In the realm of interior design, using artificial intelligence (AI) to produce aesthetically pleasing and practical space designs has grown in popularity. In this study, we provide a comprehensive interior design approach using state-of-the-art AI models [6]. Our methodology combines state-of-the-art methods such as Diffusion Prior Networks, Contrastive Language-Image Pre-training (CLIP), and Conditional Generative Adversarial Networks (GANs) to generate beautiful room interior designs and layouts based on textual descriptions. We provide a detailed description of each component, including details on how it functions and how it promotes the overall design process [3]. Through study and experimentation, we demonstrate the effectiveness of our system and its potential applications in revolutionising interior design processes.
Authors
- Prasun Chakraborty
- Harsh Ranjan (ORCID: https://orcid.org/0009-0003-1254-4005)
- Aryan
- Sujal Goyal
- Rishikesh Kumar
- Atri Bandyopadhayay
Institutions
- KIIT University (IN)
Publication Details
- Published
- 2024-08-29
- DOI
- https://doi.org/10.1109/iceect61758.2024.10739133
- Primary Topic
- BIM and Construction Integration
- Type
- article
- Field-Weighted Citation Impact
- 0.00