#Text-guided

Using pre-trained diffusion models, this tool provides quick zero-shot video editing based on text prompts, delivering high-quality results without extra training. Its noise shuffling technique keeps videos temporally consistent and efficiently manages any video length. This solution supports versatile edits, from local changes to shape transformations, across varied scenes with dynamic and complex activities.

Discover advanced techniques in animating real images through text-guided motion control. This method enables detailed animation of static images using text to manage movement properties. Created by researchers from The University of Hong Kong along with Alibaba Group and Ant Group, this project represents a notable step forward in image processing and animation. The code will soon be accessible for various uses like creative content creation and educational purposes.