| id |
sigradi2020_60 |
| authors |
Asmar, Karen El; Sareen, Harpreet |
| year |
2020 |
| title |
Machinic Interpolations: A GAN Pipeline for Integrating Lateral Thinking in Computational Tools of Architecture |
| source |
SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 60-66 |
| summary |
In this paper, we discuss a new tool pipeline that aims to re-integrate lateral thinking strategies in computational tools of architecture. We present a 4-step AI-driven pipeline, based on Generative Adversarial Networks (GANs), that draws from the ability to access the latent space of a machine and use this space as a digital design environment. We demonstrate examples of navigating in this space using vector arithmetic and interpolations as a method to generate a series of images that are then translated to 3D voxel structures. Through a gallery of forms, we show how this series of techniques could result in unexpected spaces and outputs beyond what could be produced by human capability alone. |
| keywords |
Latent space, GANs, Lateral thinking, Computational tools, Artificial intelligence |
| series |
SIGraDi |
| email |
|
| full text |
 file.pdf (2,385,495 bytes) |
| references |
Content-type: text/plain
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| last changed |
2021/07/16 11:48 |
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