Reversing a pretrained flow or diffusion generator and fine-tuning it with a classification head yields strong image classifiers, reaching 78.1% top-1 on ImageNet-64.
Generalized denoising auto-encoders as generative models
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Pretrained Reversible Generation as Unsupervised Visual Representation Learning
Reversing a pretrained flow or diffusion generator and fine-tuning it with a classification head yields strong image classifiers, reaching 78.1% top-1 on ImageNet-64.