Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Architectural Machine Translation
This chapter presents the project of architectural machine translation. The rationale of the project was that many tasks within the architectural design process could be reformulated as translation tasks between different modes of representations, such as sketches to plans, and that machine learning, specifically techniques for image‐to‐image translation, could serve as a tool in such tasks. The output was, among other things, a set of conditional generative models for architectural plans, sections, and elevation drawings used in an interactive installation with a desk and a webcam connected to a computer. The image‐to‐image training sets for the models were quite small and of low resolution. The source images were manually curated and compiled into different data sets for plans, sections, and elevations.
Architectural Machine Translation
This chapter presents the project of architectural machine translation. The rationale of the project was that many tasks within the architectural design process could be reformulated as translation tasks between different modes of representations, such as sketches to plans, and that machine learning, specifically techniques for image‐to‐image translation, could serve as a tool in such tasks. The output was, among other things, a set of conditional generative models for architectural plans, sections, and elevation drawings used in an interactive installation with a desk and a webcam connected to a computer. The image‐to‐image training sets for the models were quite small and of low resolution. The source images were manually curated and compiled into different data sets for plans, sections, and elevations.
Architectural Machine Translation
Carta, Silvio (Herausgeber:in) / Swahn, Erik (Autor:in)
Machine Learning and the City ; 489-494
21.05.2022
6 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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