Author

Nanye Ma

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#machine learning Preprint Oct 2026

Simplifying and Improving On-Policy Distillation for Few-Step Diffusion

Few-step distillation reduces the sampling cost of diffusion and flow models, but existing approaches often require auxiliary score models or specialized architectures. We show that simple on-policy velocity regression already provides a strong foundation for 4-NFE generation. To represent teacher velocity variation wi...

Jia-Wei Zhang, Zi-Yu Wan, Nan-Ye Ma et al. · 0 citations

#machine learning Feb 2026

Mode Seeking meets Mean Seeking for Fast Long Video Generation

This paper proposes a training paradigm where Mode Seeking meets Mean Seeking, decoupling local fidelity from long-term coherence based on a unified representation via a Decoupled Diffusion Transformer, and closes the fidelity-horizon gap by jointly improving local sharpness, motion and long-range consistency.

Shengqu Cai, Weili Nie, Chao Liu et al. · arXiv.org · 12 citations · ⚡2