Synthetic Scientific Image Generation with VAE, GAN, and Diffusion Model Architectures

Generative AI (genAI) has emerged as a powerful tool for synthesizing diverse and complex image data, offering new possibilities for scientific imaging applications. This review presents a comprehensive comparative analysis of leading generative architectures, ranging from Variational Autoencoders (...

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Bibliographic Details

Main Authors:	Zineb Sordo, Eric Chagnon, Zixi Hu, Jeffrey J. Donatelli, Peter Andeer, Peter S. Nico, Trent Northen, Daniela Ushizima
Format:	Artigo
Language:	Inglês
Published:	MDPI AG 2025-07-01
Series:	Journal of Imaging
Subjects:	image generation generative AI Generative Adversarial Networks diffusion synthetic data
Online Access:	https://www.mdpi.com/2313-433X/11/8/252
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