Author

Ruichuan An

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#machine learning Preprint Sep 2026

Unifying Distributional Training for One-Step Visual Generation

\emph{Distributional training} provides collective supervision for one-step visual generation by matching real and generated features in frozen representation spaces. We introduce \emph{a unified theoretical framework} that separates distribution modeling from matching discrepancy and connects global objectives to poin...

Chi Zhang, Hao-Yan Shi, Yue-Yi Liu et al. · 1 citation

#artificial intelligence Preprint Sep 2026

From Scores to Samples: Elastic Forcing for Autoregressive Video Generation

Few-step autoregressive video generation commonly relies on Distribution Matching Distillation (DMD), requiring a bidirectional diffusion teacher and an online fake-score model. We instead learn the rollout distribution directly from reference videos, eliminating both score models during post-training. Our framework mi...

Chi Zhang, Yue-Yi Liu, Hao-Yan Shi et al. · 1 citation