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Customizable front end design using improved StyleGAN with detail control

Abstract Image generation technology using generative adversarial networks has been widely used in front-end design, but existing models have problems such as fuzzy generation and limited style expression. This study proposes an improved StyleGAN (Style Generative Adversarial Network) model to achie...

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Principais autores: Pengcheng Yang, Xiaoting Li, Ping Yang
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2025-12-01
Serier:Scientific Reports
Fag:
Front-end AI assistant
Intelligent learning model
Style generative adversarial network
Style transfer
Mutual information
Online adgang:https://doi.org/10.1038/s41598-025-33853-3
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