VideoPoet is a groundbreaking tool that helps users create high-quality videos seamlessly by merging language models with video generation technology.
Developed by Google Research, VideoPoet takes a big leap forward in how videos are made, especially when it comes to producing dynamic and visually stunning movements. It turns complex language models into powerful video creators that can bring ideas to life in an engaging way.
This tool employs advanced features like the MAGVIT V2 video tokenizer and the SoundStream audio tokenizer. These components work together to take images, video clips, and audio of varying lengths, converting them into a set of discrete codes. All of these codes belong to a common vocabulary, making it possible to connect with text-based language models. This integration allows for a smooth combination of different media types, like text, images, and sound.
The magic of VideoPoet lies in its use of an autoregressive language model, which learns from video, audio, images, and text. This model predicts what comes next in a sequence, allowing it to generate new video and audio content fluidly. It also incorporates various multimodal learning goals into its training, such as turning text into video, creating images from text, continuing video frames, and more, such as video editing and stylization.
Whether you're creating square videos for social media or portrait videos for short content, VideoPoet has you covered. It can even generate audio to accompany your video input. With the ability to handle a range of video-oriented tasks, VideoPoet showcases how effectively language models can synthesize and edit videos while maintaining a smooth and coherent flow.
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