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Representation reuse hinges not on source-task performance, but on preserving task-relevant distinctions and ensuring their consistent interpretability for downstream models.
By integrating a trous wavelets into a diffusion model, AWDiff generates higher-fidelity lung ultrasound images, preserving crucial diagnostic details often lost in standard diffusion-based augmentation.