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 acadia23_v2_606
authors Pinochet, Diego
year 2023
title Deciphering Design Sketches As 3D Models: A Sequence -2- Sequence Approach to Generative Modeling Using Sketches
source ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 606-615.
summary In this paper, I present a human-machine, collaborative, 3D modeling system that combines human gestures with generative 3D modeling. The project seeks to explore the unfolding of design ideas while reframing the concept of design workflows, knowledge encapsulation, disembodiment, and representation in 3D CAD processes. Using machine learning and interactive computation, this project links user sketches to generative 3D modeling using a sequence-to-sequence model. By encapsulating expert knowledge related to 3D modeling, this project seeks to eliminate intermediate representations, such as, sections, elevations, and floorplans, in the design process to engender immediate, real-time, 3D model generation from hand sketches (Figure 1). Whereas, most of the projects using generative machine learning to produce 3D models focus on the one-to-one fidelity between sketches and 3D models, this research focuses on the generative power of gesture sequences to generate novel 3D models. This experiment aims to answer, among others, the following questions: Can the use of machine learning reframe the generation of 3D models in a more embodied way? Is it possible to capture design inten- tions from sketches to generate 3D shapes using machine learning? Can we design and explore ideas inside a computer without representing them, but focusing on the unique sequences that originate novel designs?
series ACADIA
type paper
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