| _id |
artificial_intellicence2019_117 |
| id |
artificial_intellicence2019_117 |
| authors |
Stanislas Chaillou |
| year |
2020 |
| title |
ArchiGAN: Artificial Intelligence x Architecture |
| doi |
https://doi.org/https://doi.org/10.1007/978-981-15-6568-7_8
|
| source |
Architectural Intelligence Selected Papers from the 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2022) |
| 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 |
|
| last changed |
2022/09/29 07:28 |
