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_id caadria2021_253
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
last changed 2022/06/07 07:58

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