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A Novel AI-Based Visual Stimuli Generation Approach for Environment Concept Design.
1School of Design, Jiangnan University, Wuxi, China.
Computational Intelligence and Neuroscience
|July 5, 2022
Summary
This study introduces an AI method for generating environment concept design inspiration. It addresses designers' need for quick access to visually stimulating images, focusing on spectacular ambience.
Area of Science:
- Artificial Intelligence
- Computer Graphics
- Design Studies
Background:
- Environment concept design heavily relies on visual stimuli for inspiration.
- Designers require efficient methods to access diverse and inspiring visual content.
- Current methods for acquiring design stimuli can be time-consuming.
Purpose of the Study:
- To propose a novel AI-based method for automatically generating images for environment concept design inspiration.
- To address the prioritized need of designers for inspired visual stimuli with effective composition.
- To explore the generation of "spectacular ambience" as a specific design theme.
Main Methods:
- Interviewed eight professionals to identify designer needs regarding visual stimuli.
- Tested six Generative Adversarial Network (GAN) model variants on a custom dataset.
- Selected four qualified GAN models to generate black and white thumbnails.
- Conducted a qualitative study involving eight designers to evaluate the generated outputs.
Main Results:
- Identified five key factors influencing designer satisfaction with AI-generated visual stimuli.
- Successfully generated black and white thumbnails with spectacular ambience using selected GAN models.
- Gathered qualitative feedback from designers on the utility and quality of the generated images.
Conclusions:
- The developed AI method shows potential for aiding environment concept design by providing rapid visual inspiration.
- Understanding designer satisfaction factors is crucial for refining AI-generated design stimuli.
- Future research should focus on enhancing image quality and exploring diverse stylistic outputs.
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