Author

Wei Li

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Preprint Aug 2026

RL-Native Distillation: Exploiting Scored Trajectories for Few-Step Image Generation

This work proposes REST (Reward-Enhanced Scored-Trajectory Distillation), a single-stage RL-distillation co-training framework that attaches a decoupled student to an arbitrary RL teacher that enables few-step CFG-free inference that matches or surpasses its 40-step RL teacher, with an overall additional training cost below 25% over pure RL.

Yuhan Li, Fangao Zeng, Sicong Kang et al. · 0 citations

Preprint Jul 2026

Dynamic-in-Few-Step: Unifying Dynamic Computation and Few-Step Distillation for Efficient Video Generation

A novel post-training acceleration framework that exploits this redundancy by integrating dynamic structural sparsification directly into the distillation process, and introduces a Progressive Training Strategy coupled with an Output Rollout Mechanism that ensures the coherent learning of structural decisions across timesteps.

Yu Cheng, Siyue Yao, Zhongang Qi et al. · 0 citations