Mixing the estimated noise of two class prompts at each denoising step of Stable Diffusion generates natural augmented images that improve fine-grained classification over CutMix on some datasets.
Advances in diffusion models for image data augmentation: A review of methods, models, evaluation metrics and future research directions
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NoiseCutMix: A Novel Data Augmentation Approach by Mixing Estimated Noise in Diffusion Models
Mixing the estimated noise of two class prompts at each denoising step of Stable Diffusion generates natural augmented images that improve fine-grained classification over CutMix on some datasets.