

Boximator
Overview :
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.
Target Users :
Boximator is suitable for creating unique video scenes. Users can generate customized video motion by providing images and detailed text prompts.
Use Cases
Users provide an image and describe 'a cute 3D boy standing and walking' to generate the corresponding video.
Users provide an image and describe 'wind blowing a woman's umbrella in the rain' to generate the corresponding video.
Users provide an image and describe 'a handsome man taking a rose from his pocket with his right hand and looking at it' to generate the corresponding video.
Features
Generate rich and controllable video motion
Achieve motion control by adding text prompts and box constraints
Support user-customized text and example generation
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