Transforming Architectural Planning: - Exploring the Potential of Text-to-Image Models
DOI:
https://doi.org/10.65521/intjournalrecadvengtech.v14i2s.1440Keywords:
Floor plan analysis
Image processing
Architecture
Space planning
Deep learning
2D plans
Graph neural network (GNN)
Text-to-Image Models
Abstract
Text-to-image models have the potential to transform architectural planning by making it possible to quickly and easily generate and visualize new design options, improve communication with clients and other stakeholders, and automate some of the tasks involved in architectural planning. This article describes various methods and techniques for developing text-to-image model for architectural plan. This review compares different methods and algorithms with the help of a pie chart.
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Published
2025-12-11
How to Cite
Khonde, S. R., Khedkar , S. P., & Shinde, S. B. (2025). Transforming Architectural Planning: - Exploring the Potential of Text-to-Image Models. International Journal of Recent Advances in Engineering and Technology, 14(2s), 70–77. https://doi.org/10.65521/intjournalrecadvengtech.v14i2s.1440
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Articles
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This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
