Self-supervised representation conditioning on diffusion models boosts unconditional generation quality and yields a controllable space with smooth, disentangled variations.
Training on thin air: Im- prove image classification with generated data,
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Towards Controllable Image Generation through Representation-Conditioned Diffusion Models
Self-supervised representation conditioning on diffusion models boosts unconditional generation quality and yields a controllable space with smooth, disentangled variations.