Sora：關於大視覺模型的背景、技術、限制和機遇的綜述

摘要

Sora是一個由OpenAI於2024年2月發布的文本到視頻生成AI模型。該模型經過訓練，能夠根據文本指令生成逼真或富有想像力的場景視頻，展現出在模擬物理世界方面的潛力。本文基於公開的技術報告和逆向工程，全面回顧了該模型的背景、相關技術、應用、尚存挑戰以及文本到視頻AI模型未來發展方向。我們首先追溯了Sora的發展歷程，並研究了用於構建這個“世界模擬器”的基礎技術。然後，我們詳細描述了Sora在從電影製作和教育到營銷等多個行業中的應用和潛在影響。我們討論了需要解決的主要挑戰和限制，以便廣泛部署Sora，例如確保安全和公正的視頻生成。最後，我們討論了Sora和視頻生成模型的未來發展，以及領域的進步如何能夠促進人工智能與人類互動的新方式，提升視頻生成的生產力和創造力。

English

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.

Sora：關於大視覺模型的背景、技術、限制和機遇的綜述

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

摘要

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