Urban Fictions

Campo, Matias del; Manninger, and Sandra; Carlson, Alexandra

doi:10.1002/9781119815075.ch14

Cited by 1 publication

(1 citation statement)

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“…These speculative depictions of fictional urban environments, however, ignore the scale and correlation between different datasets and architectural elements. 16 Other studies using satellite images explore the mapping of urban structures onto biological and small-scale growth patterns using CycleGAN, 17 or they explore how to further extract detailed architectural information from satellite images to automate the generation of urban plans, 18 analyzing and generating morphologies of urban contexts, 19 or generating non-planned urban patterns using GANs that inherently promote local practices, traditional knowledge, and cultural sustainability. 20 Additionally, satellite images are combined with GANs to dissect how GANs learn and subsequently generate formal architectural features from urban datasets.…”

Section: State Of the Artmentioning

confidence: 99%

Advancing justice in a city’s complex systems using designs enabled by space

Mayrhofer-Hufnagl

Ennemoser

2023

International Journal of Architectural Computing

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Understanding the importance of data is crucial for realizing the full potential of AI in architectural design. Satellite images are extremely numerous, continuous, high resolution, and accessible, allowing nuanced experimentation through dataset curation. Combining deep learning with remote-sensing technologies, this study poses the following questions. Do newly available datasets uncover ideas about the city previously hidden because urban theory is predominantly Eurocentric? Do extensive and continuous datasets promise a more refined examination of datasets’ effects on outcomes? Generative adversarial networks can endlessly generate new designs based on a curated dataset, but architectural evaluation has been questionable. We employ quantitative and qualitative assessment metrics to investigate human collaboration with AI, producing results that contribute to understanding AI-based urban design models and the significance of dataset curation.

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