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Machinic Interpolations: A GAN Pipeline for Integrating Lateral Thinking in Computational Tools of Architecture

Machinic Interpolations: A GAN Pipeline for Integrating Lateral Thinking in Computational Tools of Architecture

Asmar, Karen El; Sareen, Harpreet;

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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.

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Palavras-chave: Latent space, GANs, Lateral thinking, Computational tools, Artificial intelligence,

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DOI: 10.5151/sigradi2020-9

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Como citar:

Asmar, Karen El; Sareen, Harpreet; "Machinic Interpolations: A GAN Pipeline for Integrating Lateral Thinking in Computational Tools of Architecture", p. 60-66 . In: Congreso SIGraDi 2020. São Paulo: Blucher, 2020.
ISSN 2318-6968, DOI 10.5151/sigradi2020-9

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