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sainingxieUpdated Oct 14 22:32

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Peter Tong

@TongPetersb

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Last October, we introduced Representation Autoencoders (RAE), showing that training diffusion on frozen semantic representations works and outperforms VAEs on ImageNet. We received many questions: Can this scale to complex settings like T2I? Do the advantages hold? The answer is YES. 🧵

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