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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| Główni autorzy: | , , , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
MDPI AG
2025-07-01
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| Seria: | Journal of Imaging |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.mdpi.com/2313-433X/11/8/252 |
| Etykiety: |
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