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.
Classifier-free diffusion guidance
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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.