AI-aided Design? Processi text-to-image per il disegno di architettura

Autori

  • Matteo Flavio Mancini Dipartimento di Architettura, Università degli Studi Roma Tre
  • Sofia Menconero Dipartimento di Storia, Disegno e Restauro dell’Architettura, Sapienza Università di Roma

DOI:

https://doi.org/10.26375/disegno.13.2023.8

Parole chiave:

intelligenza artificiale, text-to-image, disegno di progetto, autorialità, stablediffusion

Abstract

L’Intelligenza Artificiale (AI) sta segnando una svolta in molti campi della vita umana ed è opportuno interrogarsi sulla sua possibilità di utilizzo nei processi di rappresentazione del progetto di architettura.
Il contributo presenta una breve digressione sul passato recente delle tecnologie AI al fine di spiegarne il funzionamento, una fotografia sull’attuale stato dell’arte dai processi text-to-image a quelli image-to-3D, concentrandosi in particolare sulla piattaforma StableDiffusion, oltre a proporre una panoramica sui più recenti studi nel campo del progetto di architettura. La successiva sperimentazione diventa occasione per mostrare le potenzialità dell’AI quanto al processo di co-creazione e alla possibilità di simulare diverse tecniche grafiche, fino alla visualizzazione fotorealistica. D’altro canto, vengono presentati i limiti che, allo stato attuale dello sviluppo, invalidano talvolta i risultati dei processi text-to-image per quanto riguarda gli aspetti scientifici della rappresentazione.
Le conclusioni propongono una riflessione sulle differenze tra intelligenza umana e artificiale, sul tema dell’autorialità condivisa uomo-macchina e sulle loro conseguenze per il progetto d’architettura.

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Pubblicato

2023-12-31

Come citare

[1]
M. F. Mancini e S. Menconero, «AI-aided Design? Processi text-to-image per il disegno di architettura», diségno, n. 13, pagg. 57–70, dic. 2023.