Prafulkumar Ponnappan
, Rahul Rajesh , Rishit Kurup , Suyog Yadav
Floor Plans, Architecture, Generative Adversarial Network
This paper presents a novel approach for generating floor plans using machine learning techniques, specifically Generative Adversarial Networks (GANs). The implemented method utilizes a bubble graph, which is a rough layout generated by an architect, as input for the GANs. The GANs process the bubble graph and quickly iterate multiple floor plan solutions based on user-specified constraints such as the number of rooms, room sizes, and spatial layout. The generated plans are evaluated against a set of quality metrics such as plan feasibility and aesthetics. The results show that the proposed method is able to generate multiple high-quality floor plans that are comparable to those designed by human experts. Additionally, the approach can significantly reduce the time and cost associated with the traditional floor plan design process. The customer and architect can select a suitable layout that will be converted into a 2D floorplan by the GAN. The implications of this research are significant for the fields of architecture and building design, as it has the potential to revolutionize the way in which floor plans are generated in the future.
"Novel House GAN", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.e277-e282, March-2023, Available :https://ijnrd.org/papers/IJNRD2303434.pdf
Volume 8
Issue 3,
March-2023
Pages : e277-e282
Paper Reg. ID: IJNRD_189892
Published Paper Id: IJNRD2303434
Downloads: 000118878
Research Area: Computer Engineering
Country: Airoli, Maharashtra, India
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
