VideoPoet
Developer(s)Google
TypeLarge language model

VideoPoet is a large language model developed by Google Research in 2023 for video making.[1][2][3][4] It can be asked to animate still images.[5] The model accepts text and image and video as prompt input, with a program to add feature for any input to any format generated content. It is in private test phase.

Background

VideoPoet emerges at the intersection of cutting-edge AI and multimedia processing, embodying the essence of multimodal learning. The field of multimodal learning represents a departure from conventional AI models that primarily process textual data. Instead, VideoPoet embraces a holistic approach, assimilating inputs from various modalities, including text, images, videos, and audio. [6]

In the landscape of AI, VideoPoet builds upon the robust foundations laid by advancements in several crucial areas. Leveraging the capabilities of Large Language Models (LLMs), such as Bard and GPT-3, VideoPoet adeptly interprets textual prompts, translating them into visually engaging narratives. Furthermore, the model incorporates state-of-the-art vision and sound understanding, harnessing the progress in deep learning to generate realistic images and audio seamlessly integrated into its video output.

The concept of cross-modal learning forms the bedrock of VideoPoet's capabilities. This emerging field is dedicated to bridging the divide between different modalities, and VideoPoet excels in translating between text, images, and audio, weaving them together to create a harmonious and immersive video experience.

Google's substantial investment in multimodal learning and research has played a pivotal role in the development of VideoPoet. As a forefront player in AI, Google's commitment to pushing the boundaries of technology is evident in projects like VideoPoet. This commitment extends to exploring the profound impact of AI on creative domains, particularly in revolutionizing the landscape of video creation.[7]

The early days of VideoPoet have already showcased impressive capabilities, providing a glimpse into its potential f

uture. As research and development progress, VideoPoet is anticipated to expand its skillset, possibly introducing functionalities like interactive experiences, real-time video generation, and advanced style transfer options. The continuous refinement of underlying AI algorithms promises more realistic and nuanced video generation, contributing to the democratization of video creation by lowering entry barriers and empowering storytellers of all technical backgrounds.

In essence, VideoPoet represents a significant step in the evolution of AI-powered video creation, poised to redefine storytelling, communication, and creative expression in the digital age.

Capabilities

VideoPoet is a multi-modal AI model developed by Google AI that demonstrates a range of capabilities in video generation and editing.[8] These capabilities include:

  • Text-to-video: VideoPoet can generate videos from text descriptions, enabling users to create visual content without traditional video production skills.[9]
  • Video editing: It can enhance existing videos by adding effects, applying filters, altering object movements, and filling in missing parts.[10]
  • Style transfer: VideoPoet can transfer the style of one video or image onto another, providing creative options for video stylization.[11]
  • Audio composition: The model can generate audio to match the content of a video, including music, sound effects, and other auditory elements.

Additional potential applications:

  • Interactive video experiences: Researchers are exploring the potential for VideoPoet to create interactive videos that respond to user input.
  • Accessibility enhancements: The model could be used to generate audio descriptions for visually impaired viewers or to translate spoken dialogue into sign language.
  • Educational applications: VideoPoet could be used to create engaging and interactive educational content.

Research and development:

VideoPoet is an ongoing research project, and its capabilities are expected to expand as research progresses.

References

  1. ↑ Krithika, K. L. (December 20, 2023). "Google Unveils VideoPoet, a New LLM for Video Generation". Analytics India Magazine.
  2. ↑ "Google has introduced VideoPOET breaking new ground in coherent video generation - Gizmochina".
  3. ↑ Kondratyuk, Dan; Yu, Lijun; Gu, Xiuye; Lezama, José; Huang, Jonathan; Hornung, Rachel; Adam, Hartwig; Akbari, Hassan; Alon, Yair; Birodkar, Vighnesh; Cheng, Yong; Chiu, Ming-Chang; Dillon, Josh; Essa, Irfan; Gupta, Agrim; Hahn, Meera; Hauth, Anja; Hendon, David; Martinez, Alonso; Minnen, David; Ross, David; Schindler, Grant; Sirotenko, Mikhail; Sohn, Kihyuk; Somandepalli, Krishna; Wang, Huisheng; Yan, Jimmy; Yang, Ming-Hsuan; Yang, Xuan; Seybold, Bryan; Jiang, Lu (December 21, 2023). "VideoPoet: A Large Language Model for Zero-Shot Video Generation". arXiv:2312.14125 [cs.CV].
  4. ↑ "VideoPoet – Google Research". VideoPoet – Google Research.
  5. ↑ Franzen, Carl (December 20, 2023). "Google's new multimodal AI video generator VideoPoet looks incredible".
  6. ↑ "VideoPoet – Google Research". VideoPoet – Google Research. Retrieved 2024-01-04.
  7. ↑ "VideoPoet: A large language model for zero-shot video generation". blog.research.google. 2023-12-19. Retrieved 2024-01-04.
  8. ↑ "Google VideoPoet AI Unleashing Creative Video Excellence". Ai Budge. 2024-01-04. Retrieved 2024-01-04.
  9. ↑ "VideoPoet Text-to-Video". VideoPoet Text-to-Video. Retrieved 2024-01-04.
  10. ↑ "VideoPoet – Google Research". VideoPoet – Google Research. Retrieved 2024-01-04.
  11. ↑ "VideoPoet stylization". VideoPoet stylization. Retrieved 2024-01-04.
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