Diffusion models trained with an equivariant adversarial-smoothing regularizer tolerate heavy training-data corruption but lose image quality on clean data.
Solving inverse problems with score-based generative priors learned from noisy data
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What is Adversarial Training for Diffusion Models?
Diffusion models trained with an equivariant adversarial-smoothing regularizer tolerate heavy training-data corruption but lose image quality on clean data.