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Advances in diffusion models for image data augmentation: a review of methods, models, evaluation metrics and future research directions.

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Title: Advances in diffusion models for image data augmentation: a review of methods, models, evaluation metrics and future research directions.
Authors: Alimisis, Panagiotis1, csi23301@hua.gr, Mademlis, Ioannis1, imademlis@hua.gr, Radoglou-Grammatikis, Panagiotis2,3, pradoglou@uowm.gr, Sarigiannidis, Panagiotis2, psarigiannidis@uowm.gr, Papadopoulos, Georgios Th.1, g.th.papadopoulos@hua.gr
Source: Artificial Intelligence Review; Apr2025, Vol. 58 Issue 4, p1-55, 55p
Database: Applied Science & Technology Source
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  Data: Advances in diffusion models for image data augmentation: a review of methods, models, evaluation metrics and future research directions.
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        Value: 10.1007/s10462-025-11116-x
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        Text: English
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      – TitleFull: Advances in diffusion models for image data augmentation: a review of methods, models, evaluation metrics and future research directions.
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              M: 04
              Text: Apr2025
              Type: published
              Y: 2025
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