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20222026
most citedLeveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detection

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cs.CV2024★ 1 cited

Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detection

Federico Girella, Ziyue Liu, Franco Fummi +3

Defect detection is the task of identifying defects in production samples. Usually, defect detection classifiers are trained on ground-truth data formed by normal samples (negative…

cs.CV2024

Diffusion-based Image Generation for In-distribution Data Augmentation in Surface Defect Detection

Luigi Capogrosso, Federico Girella, Francesco Taioli +5

In this study, we show that diffusion models can be used in industrial scenarios to improve the data augmentation procedure in the context of surface defect detection. In general,…