One-Forcing: Towards Stable One-Step Autoregressive Video Generation
One-Forcing combines Distribution Matching Distillation (DMD) with an auxiliary GAN loss to create a stable method for generating high-quality video in a single step. It uses a shared network to enforce both distribution matching and adversarial penalties, achieving state-of-the-art results while requiring significantly less training time than previous chunkwise models.