Boximator is an intelligent video synthesis tool developed by Jiawei Wang, Yuchen Zhang, and others. It utilizes advanced deep learning techniques to generate rich and controllable video motion by adding text prompts and additional box constraints. Users can create unique video scenes through examples or custom text. Compared to other methods, Boximator utilizes supplementary box constraints from text prompts, providing more flexible motion control.