Author

Zheming Fu

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Preprint Oct 2026

VideoAWR: Reinforcing Video Flow Models with Decoupled-Timestep Advantage-Weighted Rectification

Regression-based RL for flow models mandates sampling \emph{without} classifier-free guidance (CFG) to align the rectification target with the reference marginal velocity. Extending Advantage-Weighted Rectification (AWR), which dynamically scales this regression target based on reward, to video generation encounters a...

Zhe-Ming Fu, Wen-Bin Ning, R.-Z. He et al. · 0 citations

Preprint Aug 2026

Any-OPD: Heterogeneous On-Policy Distillation for Flow-Matching Models via Representation-Space Bridging

On-policy distillation, in which a teacher corrects samples that the student itself generates, presupposes that the two models speak the same language: identical VAE latents, matching architectures, and a common timestep grid. We ask what happens when none of this holds, as when the strongest teacher available and the...

Siming Fu, Zheming Fu, R.Z. He et al. · 1 citation

Preprint Aug 2026

Poly-OPD: Heterogeneous Multi-Teacher On-Policy Distillation for Capability-Selectable Flow Models

This paper presents Poly-OPD, a framework that can consolidate complementary strengths of heterogeneous teachers into a single compact flow-matching student, and uses a gradient compatibility diagnostic to organize its adapters.

Siming Fu, Haojun Xu, R.Z. He et al. · 2 citations