Representation Autoencoders
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Representation Autoencoders
representation encoders like DINO or SigLIP. The method challenges the common assumption that semantic encoders are unsuitable for reconstruction tasks and demonstrates that they can actually provide superior performance for image generation. Replacing VAEs with pretrained representation encoders in Diffusion Transformers enhances generative quality and convergence speed without auxiliary losses.
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