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Sheng-Qi Liu

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Preprint Sep 2026

RepFlow: Reciprocal Supervision Improves Generation and Representation in Flow Models

Generative models learn visual structure through denoising, yet their internal states are entangled with both noise level and network depth, making it difficult to obtain a stable visual representation from the generator itself. We introduce RepFlow, which learns such a representation from the generator's evolving comp...

Wei-Li Zeng, Feng Tian, Sheng-Qi Liu et al. · 0 citations

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