Alice v1: Distillation-Enhanced Video Generation Surpassing Closed-Source Models
Wepresent Alice v1, a 14-billion parameter open-source video generation model that achieves state-of-the-art quality through consistency distillation with score regularization (rCM). Contrary to conventional distillation-which trades quality for speed-we demonstrate that rCM-based distillation can exceed teacher model quality. We attribute this to three mechanisms: (1) the score regularization term acts as a mode-seeking objective that concentrates probability mass on high-quality outputs rather than covering the full teacher distribution, (2) our targeted synthetic data pipeline with hard example mining provides training signal specifically for failure modes (physics, hands, faces) that ...
| Authors | Wang Xiaoyu, Phong Nguyen, Chen Zhao |
|---|---|
| Primary category | cs.GR |
| Published | 27 April 2026 |
| Last updated at source | 27 April 2026 |
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