| id |
ecaade2023_436 |
| authors |
Bank Stigsen, Mathias, Moisi, Alexandra, Rasoulzadeh, Shervin, Schinegger, Kristina and Rutzinger, Stefan |
| year |
2023 |
| title |
AI Diffusion as Design Vocabulary - Investigating the use of AI image generation in early architectural design and education |
| source |
Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 587–596 |
| doi |
https://doi.org/10.52842/conf.ecaade.2023.2.587
|
| summary |
This paper investigates the potential of Text-to-Image AI in assisting the ideation phase in architectural design and education. The study proposes a structured workflow and tests it with first-year architecture students. It aims to create a comprehensive design vocabulary by using AI-generated images as primary design references and incorporating them into a modelling workflow. The paper implements a process combining specific vocabulary extraction, image generation, 2D to 3D translation, and spatial composition within a six weeklong design course. The findings suggest that such a process can enhance the ideation phase by generating new and diverse design inspirations, improve spatial understanding through the exploration of various design elements, and provide students with a targeted visual vocabulary that helps define design intention and streamlines the modelling process. |
| keywords |
Artificial Intelligence, Text-to-Image, Midjourney, Architectural design, Design ideation, 2D to 3D |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (2,839,372 bytes) |
| references |
Content-type: text/plain
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| last changed |
2023/12/10 10:49 |
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