Optimizing Generative Adversarial Network (GAN) Models for Non-Pneumatic Tire Design

Pneumatic tires are used in diverse industries. However, their design is difficult, as it relies on the knowledge of experienced designers. In this paper, we generate images of non-pneumatic tire designs with patterns based on shapes and lines for different generative adversarial network (GAN) model...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Ju Yong Seong, Seung-min Ji, Dong-hyun Choi, Seungjae Lee, Sungchul Lee
Format:	Article
Language:	English
Published:	MDPI AG 2023-09-01
Subjects:	ProjectedGAN DCGAN mean squared error structural similarity index StyleGAN StarGAN
Online Access:	https://www.mdpi.com/2076-3417/13/19/10664