Few-step distillation improves the efficiency of autoregressive (AR) video generation, but often causes diversity collapse: under the same prompt, different noise samples tend to produce highly similar videos with weakened motion dynamics. We analyze this degradation in Distribution Matching Distillation (DMD)-distille...
Zi-Xuan Duan, Xun-Zhi Xiang, Yabo Chen et al.· 0 citations
WorldRoamBench is introduced, an open-world benchmark for long-horizon stability across four dimensions, each with innovations, steps toward IWMs that are stable, physically grounded, memory-faithful, and deployable in real-world applications.
A two-stage privileged context distillation framework, which transfers full context behavior from a dense teacher through consistency distillation and then refines deployment rollouts with distribution matching, is proposed, which transfers full context behavior from a dense teacher through consistency distillation.
Xu Guo, Zhengxuan Wei, Xinghui Li et al.· 0 citations
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