Exploring optimal ways to represent topological and spatial features of building designs in deep learning methods and applications for architecture

Titel:: Exploring optimal ways to represent topological and spatial features of building designs in deep learning methods and applications for architecture
Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: Eisenstadt, Viktor; Arora, Hardik; Ziegler, Christoph; Bielski, Jessica; Langenhan, Christoph; Althoff, Klaus-Dieter; Dengel, Andreas; Petzold, Frank
Stichworte:: LOCenter
Zeitschriftentitel:: CAADRIA
Jahr:: 2021
Verlag / Institution:: CAADRIA 2021
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