SketchOpt: Sketch-based Parametric Model Retrieval for Generative Design
Mohammad Keshavarzi, Clayton Hutson, Chin-Yi Cheng, Mehdi Nourbakhsh,, Michael Bergin, Mohammad Rahmani Asl

TL;DR
SketchOpt is an automated system that transforms simple floor plan sketches into parametric building models, enabling efficient multi-objective optimization without requiring advanced modeling skills.
Contribution
It introduces a novel sketch-based interface for generating and customizing parametric building models for generative design, reducing complexity and iteration time.
Findings
Enables quick conversion of sketches into parametric models
Supports multi-objective optimization with user-defined variables
Reduces need for advanced 3D modeling skills
Abstract
Developing fully parametric building models for performance-based generative design tasks often requires proficiency in many advanced 3D modeling and visual programming, limiting its use for many building designers. Moreover, iterations of such models can be time-consuming tasks and sometimes limiting, as major changes in the layout design may result in remodeling the entire parametric definition. To address these challenges, we introduce a novel automated generative design system, which takes a basic floor plan sketch as an input and provides a parametric model prepared for multi-objective building optimization as output. Furthermore, the user-designer can assign various design variables for its desired building elements by using simple annotations in the drawing. The system would recognize the corresponding element and define variable constraints to prepare for a multi-objective…
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