Adding a dispersion regularizer to intermediate features of diffusion and flow models consistently improves FID on ImageNet and one-step generation, with no additional parameters, pretraining, or external data.
ImageNet: A large-scale hierarchical image database
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Diffuse and Disperse: Image Generation with Representation Regularization
Adding a dispersion regularizer to intermediate features of diffusion and flow models consistently improves FID on ImageNet and one-step generation, with no additional parameters, pretraining, or external data.