On-Policy Adversarial Flow Distillation for Autoregressive Video Generation 事件

On-Policy Adversarial Flow Distillation for Autoregressive Video Generation arXiv:2605.26105v1 Announce Type: new Abstract: Autoregressive video generators are attractive for streaming, long-horizon, and interactive applications, but distilling strong black-box teachers into causal students remains difficult. The student must learn under its own rollout distribution, whereas practical teachers may expose only prompt-conditioned completed videos and may differ in architecture, capacity, temporal