title: Sora: A Review on Background, Technology, Limitations, and Opportunities
    of Large Vision Models
summary: Sora is a text-to-video generative AI model, released by OpenAI in February
  2024. The model is trained to generate videos of realistic or imaginative
  scenes from text instructions and show potential in simulating the physical
  world. Based on public technical reports and reverse engineering, this paper
  presents a comprehensive review of the model's background, related
  technologies, applications, remaining challenges, and future directions of
  text-to-video AI models. We first trace Sora's development and investigate the
  underlying technologies used to build this "world simulator". Then, we describe
  in detail the applications and potential impact of Sora in multiple industries
  ranging from film-making and education to marketing. We discuss the main
  challenges and limitations that need to be addressed to widely deploy Sora,
  such as ensuring safe and unbiased video generation. Lastly, we discuss the
  future development of Sora and video generation models in general, and how
  advancements in the field could enable new ways of human-AI interaction,
  boosting productivity and creativity of video generation.
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paper_title: Sora: A Review on Background, Technology, Limitations, and Opportunities
    of Large Vision Models
paper_summary: Sora is a text-to-video generative AI model, released by OpenAI in February
  2024. The model is trained to generate videos of realistic or imaginative
  scenes from text instructions and show potential in simulating the physical
  world. Based on public technical reports and reverse engineering, this paper
  presents a comprehensive review of the model's background, related
  technologies, applications, remaining challenges, and future directions of
  text-to-video AI models. We first trace Sora's development and investigate the
  underlying technologies used to build this "world simulator". Then, we describe
  in detail the applications and potential impact of Sora in multiple industries
  ranging from film-making and education to marketing. We discuss the main
  challenges and limitations that need to be addressed to widely deploy Sora,
  such as ensuring safe and unbiased video generation. Lastly, we discuss the
  future development of Sora and video generation models in general, and how
  advancements in the field could enable new ways of human-AI interaction,
  boosting productivity and creativity of video generation.
paper_ai_summary: A comprehensive review of Sora, a text-to-video generative AI model, including its underlying technologies, applications, challenges, and future directions in video generation and human-AI interaction.
paper_ai_keywords: text-to-video generative AI world simulator film-making education marketing safe video generation unbiased video generation human-AI interaction productivity creativity