| id |
ecaade2023_48 |
| authors |
Doumpioti, Christina and Huang, Jeffrey |
| year |
2023 |
| title |
Text to Image to Data |
| 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. 541–548 |
| doi |
https://doi.org/10.52842/conf.ecaade.2023.2.541
|
| summary |
Recent advancements in text-to-image technology have transformed the landscape of computational creativity by enabling the generation of conceptual images. By implementing innovative standards for image generation, we can now shift our focus from the constraints of notational design communication to more purposeful reflection, opening up new design possibilities for future architectures informed by contemporary ideas, concepts, and concerns. In light of the pressing climatic crisis, this paper specifically explores the relationship between text-to-image generation and the integration of environmental sensibility, aiming to explore how digital information (bits) can translate into physical reality (atoms). Our case study focuses on specific residential building typology and its façade morphology to analyse the environmental responsiveness of the design. We propose a workflow that merges creative and analytic processes, through different stages, including diffusion-generated conceptual images, 2D to 3D through depth-mapping and point-cloud meshing, semantic segmentation analysis and sunlight simulation. The paper describes the methods and their combination into a coherent workflow, outlines encountered setbacks, and suggests stages for further improvement. |
| keywords |
Computational Creativity, Text-to-Image, Simulation, Environmental Responsiveness, Machine Intelligence |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (1,530,112 bytes) |
| references |
Content-type: text/plain
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| last changed |
2023/12/10 10:49 |
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