Representation Distribution Matching for One-Step Visual Generation

Researchers introduced Representation Distribution Matching (RDM), a method for one-step image generation that matches feature distributions under pretrained encoders. Their approach achieved a state-of-the-art SW_r14 score of 1.30 on ImageNet and was validated through various metrics and comparisons.

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