Enhancing Autoregressive Video Generation via Representation Adversarial Distillation
The method Radian improves autoregressive video generation by adding an adversarial objective to existing distillation techniques. It uses a frozen visual foundation model to supervise the generator, providing complementary perceptual and semantic guidance alongside traditional matching methods. This enhances video quality without changing the generator's architecture or increasing inference time.