Imagen Video

What is Imagen Video?

Imagen Video is a text-conditional video generation system developed by the Google Research Brain Team. It operates on a cascade of video diffusion models to create high-definition videos based on textual prompts. Imagen Video employs a base video generation model along with spatial and temporal video super-resolution models to enhance video quality. The system has been expanded to enable high-definition text-to-video generation, incorporating design choices like fully-convolutional temporal and spatial super-resolution models and the v-parameterization of diffusion models. Through progressive distillation and classifier-free guidance, Imagen Video showcases the capability to produce high-fidelity videos with controllability, diverse artistic styles, and a profound understanding of 3D objects and world knowledge.

Who created Imagen Video?

Imagen Video was created by a team of individuals from Google Research, Brain Team, including Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, and others. They developed Imagen Video, an advanced text-conditional video generation system based on a cascade of video diffusion models. The system is designed to generate high-definition videos based on text prompts, showcasing high fidelity and controllability along with world knowledge and the ability to generate diverse videos and text animations in various artistic styles.

How to use Imagen Video?

To use Imagen Video, follow these steps:

1. Start by providing a text prompt to Imagen Video.
2. The system generates high-definition videos using a base video generation model and a series of spatial and temporal video super-resolution models.
3. The system is designed with fully-convolutional temporal and spatial super-resolution models at specific resolutions, ensuring high-quality video output.
4. Imagen Video also incorporates a v-parameterization of diffusion models for effective video generation.
5. Progressive distillation is applied to the video models with classifier-free guidance to enable fast and high-quality video sampling.
6. The tool is capable of generating videos with high fidelity, controllability, and world knowledge, including diverse videos and text animations in various artistic styles with 3D object understanding.

By following these steps, users can effectively utilize Imagen Video for text-conditional video generation and create high-quality videos with control over various artistic styles and content types.