Author

Shengqu Cai

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#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