Transforming Architectural Planning: - Exploring the Potential of Text-to-Image Models
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Published:
Dec 11, 2025
Keywords:
Floor plan analysis, Image processing, Architecture, Space planning, Deep learning, 2D plans, Graph neural network (GNN), Text-to-Image Models
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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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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. Retrieved from https://journals.mriindia.com/index.php/ijraet/article/view/1440
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