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Generate realistic talking avatars 120x faster by distilling multi-step diffusion models into a single-step generator, without sacrificing quality.
Forget storing old face forgeries: this method distills the *difference* between real and fake distributions to replay past forgery cues, achieving better continual learning with less memory and improved privacy.
