2024 – A Watershed Year for Text-to-Video AI


Text-to-video AI is a cutting-edge suite of technologies designed to generate dynamic, temporally coherent videos from textual prompts. This innovation has the potential to significantly impact various industries, including advertising, marketing, filmmaking, and social media, by providing a new medium for creative expression and communication. The report examines the diverse architectures employed in text-to-video AI and explores the competitive landscape among key technology providers, such as Sora, W.A.L.T, Emu, and Stable Diffusion.

Over the past year, there have been rapid breakthroughs in this field, although it is anticipated that it will take at least 2 to 3 more years for text-to-video AI to fully mature. Despite its promising potential, the industry faces several significant challenges, including the need for substantial computational resources, ensuring high-quality output, and addressing ethical concerns. This report delves into these issues, providing a comprehensive overview of the current state and future prospects of text-to-video AI technology.

Table of Contents:

  • Background
  • What is Text-to-Video AI?
  • Top 5 Impacted Industries
  • Other Impacted Industrial Players
    • AI PC/AI Smartphone Maker
    • Mobile Operators
  • The Architectures
    • Diffusion Model
  • Transformer Model
  • Competitive Landscape with Key Technology Providers
  • Technology Time-to-Maturity
  • Current Challenges
  • Conclusion

Number of Pages: 12

Publication Date: May 2024



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