| id |
caadria2021_253 |
| authors |
Vivanco Larrain, Tomas, Valencia, Antonia and Yuan, Philip F. |
| year |
2021 |
| title |
Spatial Findings on Chilean Architecture StyleGAN AI Graphics |
| source |
A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 251-260 |
| doi |
https://doi.org/10.52842/conf.caadria.2021.1.251
|
| summary |
The use of StyleGAN algorithms proposes a novel approach in the investigation of architectural images. Even though graphical outcomes produced by StyleGAN algorithms are far from being architectural spaces, they might become a starting point in the creative process of architectural projects. By creating a database of specific categories of architectural images located in certain contexts, significant findings might emerge regarding their categorization in accordance to the style of a culture. This research analyzes the architectural images that result from implementing StyleGAN algorithms in a database of images of Chilean houses built between the years 2010 and 2020 and selected as finalist of the ´Project of the Year´ from international viewers and curators of the most viewed architectural website of the world. Our findings suggest that Chilean houses have two distinctive elements strongly influenced by human bias: the proportion of voids in the architectural-like generative volume and the integration of vegetation or landscape. |
| keywords |
StyleGAN; Chilean architecture; artificial intelligence; spatial findings |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (5,791,159 bytes) |
| references |
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| last changed |
2022/06/07 07:58 |
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