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cs.LG2026
Unifying Distributional Training for One-Step Visual Generation
Chi Zhang, Shi Haoyang, Haoyang Shi +10
Distributional training provides collective supervision for one-step visual generation by matching real and generated features in frozen representation spaces. We introduce a unifi…
cs.CV2026
From Scores to Samples: Elastic Forcing for Autoregressive Video Generation
Chi Zhang, Yueyi Liu, Shi Haoyang +6
Few-step autoregressive video generation commonly relies on Distribution Matching Distillation (DMD), requiring a bidirectional diffusion teacher and an online fake-score model. We…
cs.CV2026
Rethinking VLM Representation for VLA Initialization
Weifeng Lin, Siyuan Huang, Hao Li +5
Vision-Language-Action (VLA) models widely adopt pretrained Vision-Language Models (VLMs) as policy backbones, yet it remains unclear what kind of pretrained VLM representation is…