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ScoreMix: Synthetic Data Generation by Score Composition in Diffusion Models Improves Recognition
Synthetic data generation is increasingly used in machine learning for training and data augmentation. Yet, current strategies often rely on external foundation models or datasets, whose usage is restricted in many scenarios due to policy or legal constraints. We propose ScoreMix, a self-contained s
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