Yu-Liang Huang

TIDE: Trajectory-Informed Skill Distillation for Efficient Text-to-Video Prompt Optimization

Text-to-video (T2V) models are highly sensitive to prompt specificity, while iterative prompt optimization typically improves generation quality only through repeated video generation and vision-language model evaluation at inference time. We propose TIDE, a framework that distills this costly search process into an in...