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Titel:

Chasing the White Rabbit – A case study of predicting design phases of architects by training a deep neural network with sketch recognition through a digital drawing board

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Bielski, Jessica; Mete, Burak; Eisenstadt, Viktor; Langenhan, Christoph; Petzold, Frank; Dengel, Andreas; Althoff, Klaus-Dieter
Abstract:
Within this paper we propose an interdisciplinary approach at the interface of computer science and architecture to predict design phases using a deep neural network, based on architects’ hand drawings. The overall goal of the metis projects is to provide architects with appropriate design step suggestions using deep learning (DL) and based on semantic information of Building Information Modeling (BIM), inspired by textual autocompletion of digital keyboards on smartphones. We describe the proce...     »
Stichworte:
LOCenter
Kongress- / Buchtitel:
International Conferences on Computational Creativity
Kongress / Zusatzinformationen:
Available from
Verlag / Institution:
Association for Computational Creativity
Verlagsort:
Pinhal de Marrocos
Jahr:
2022
Serientitel:
ICCC
Serienbandnummer:
13
WWW:
https://computationalcreativity.net/iccc22/wp-content/uploads/2022/06/ICCC-2022_1S_Bielski-et-al..pdf
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