id |
artificial_intellicence2019_117 |
authors |
Stanislas Chaillou |
year |
2020 |
title |
ArchiGAN: Artificial Intelligence x Architecture |
source |
Architectural Intelligence Selected Papers from the 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2022) |
doi |
https://doi.org/https://doi.org/10.1007/978-981-15-6568-7_8
|
summary |
AI will soon massively empower architects in their day-to-day practice. This article provides a proof of concept. The framework used here offers a springboard for discussion, inviting architects to start engaging with AI, and data scientists to consider Architecture as a field of investigation. In this article, we summarize a part of our thesis, submitted at Harvard in May 2019, where Generative Adversarial Neural Networks (or GANs) get leveraged to design floor plans and entire buildings . |
series |
Architectural Intelligence |
email |
|
full text |
file.pdf (1,328,751 bytes) |
references |
Content-type: text/plain
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last changed |
2022/09/29 07:28 |