Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	acadia18_176
id	acadia18_176
authors	Bidgoli, Ardavan; Veloso,Pedro
year	2018
title	DeepCloud. The Application of a Data-driven, Generative Model in Design
doi	https://doi.org/10.52842/conf.acadia.2018.176
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 176-185
summary	Generative systems have a significant potential to synthesize innovative design alternatives. Still, most of the common systems that have been adopted in design require the designer to explicitly define the specifications of the procedures and in some cases the design space. In contrast, a generative system could potentially learn both aspects through processing a database of existing solutions without the supervision of the designer. To explore this possibility, we review recent advancements of generative models in machine learning and current applications of learning techniques in design. Then, we describe the development of a data-driven generative system titled DeepCloud. It combines an autoencoder architecture for point clouds with a web-based interface and analog input devices to provide an intuitive experience for data-driven generation of design alternatives. We delineate the implementation of two prototypes of DeepCloud, their contributions, and potentials for generative design.
keywords	full paper, design tools software computing + gaming, ai & machine learning, generative design, autoencoders
series	ACADIA
type	paper
email
last changed	2022/06/07 07:52

_id	sigradi2018_1275
id	sigradi2018_1275
authors	Guidoux Gonzaga, Mário; Prazeres Veloso de Souza, Leonardo; Paiva Ponzio, Angélica; Miotto Bruscato, Underléa
year	2018
title	Cutting the Path: Encouraging Formal Exploration Through Integration Between Algorithmic and BIM Environments
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 11-16
summary	This paper describes the experience of introducing students to design processes that use algorithm design and BIM tools. An exercise was presented to instigate the students to explore the interface between two known processes: the creation of algorithms in Grasshopper and the manipulation of objects in a BIM environment using Archicad. The exercise aimed at bridging the gap between algorithmic form creation and manipulation and representation and documentation techniques required in the design studios in order to encourage the students to explore new design processes using the appropriate tools at each stage.
keywords	Parametric design; BIM; Grasshopper; Archicad; Workshop
series	SIGRADI
email
last changed	2021/03/28 19:58

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