| id |
ecaade2023_162 |
| authors |
Zhao, Hanbing, Savov, Anton, Zhang, Hang and Dillenburger, Benjamin |
| year |
2023 |
| title |
A Framework for the Design and Evaluation of Architectural Tilesets |
| doi |
https://doi.org/10.52842/conf.ecaade.2023.2.491
|
| 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. 491–500 |
| summary |
Generative design, increasingly prevalent in architecture, enables design exploration and enhanced productivity compared to traditional methods. Researchers have investigated combinatorial design using tilesets, which encode architectural meaning and promote user-friendly interactions. However, most research focuses on discovering designs rather than fine-tuning tilesets. We propose a tile-based method that introduces metrics for evaluating generated layouts and tileset design space, addressing the research gap and facilitating practical applications. The design space evaluation feedback aids architects in customizing tilesets according to their objectives by exploring the impact of tile topology and rule changes. Our framework, illustrated through double-floor single-family house tilesets using the Wave Function Collapse algorithm, generates 3D designs and 2D layouts, enables minimal-specification diverse tilesets, and demonstrates fine-tuning to avoid grid-like monotonicity, a common limitation of tile-based generative design methods. |
| keywords |
Generative Architectural Design, Data Analysis, Tileset, Wave Function Collapse |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (1,688,202 bytes) |
| references |
Content-type: text/plain
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| last changed |
2023/12/10 10:49 |
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