A Denoising Generative Adversarial Network Based On Enhanced Feature Mapping Of Data Augmentation For Image Synthesis

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A Denoising Generative Adversarial Network Based On Enhanced Feature Mapping Of Data Augmentation For Image Synthesis

Generative adversarial networks (GANs) have become a significant research topic in deep learning for image synthesis. GANs can produce diverse and high-quality results through the collaboration between the generator and discriminator. However, building a robust and stable GANs model remains a signif...

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Bibliographic Details
Main Author:	Chen, Li
Format:	Thesis
Language:	English
Published:	2024
Subjects:	QA75.5-76.95 Electronic computers. Computer science
Online Access:	http://eprints.usm.my/62327/ http://eprints.usm.my/62327/1/CHEN%20LI%20-%20TESIS%20cut.pdf

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