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A Comprehensive Survey on Text-to-Video Generation

Fan Xie Dan Zeng Qiaomu Shen Bo Tang

电子学报（英文）2025，Vol.34Issue(4)：1009-1036,28.

电子学报（英文）2025，Vol.34Issue(4)：1009-1036,28.DOI:10.23919/cje.2024.00.151

A Comprehensive Survey on Text-to-Video Generation

Fan Xie ¹Dan Zeng ²Qiaomu Shen ³Bo Tang¹

作者信息

1. Department of Computer Science and Engineering,Southern University of Science and Technology,Shenzhen 518107,China
2. School of Artificial Intelligence,Sun Yat-sen University,Zhuhai 510275,China
3. Beijing Institute of Technology(Zhuhai),Zhuhai 519088,China
折叠

摘要

关键词

Survey/Text-to-video generation/Generative artificial intelligence/Sora model/Artificial intelli-gence generated content

Key words

Survey/Text-to-video generation/Generative artificial intelligence/Sora model/Artificial intelli-gence generated content

引用本文复制引用

Fan Xie,Dan Zeng,Qiaomu Shen,Bo Tang..A Comprehensive Survey on Text-to-Video Generation[J].电子学报（英文）,2025,34(4):1009-1036,28.

基金项目

This work was supported by the National Natural Sci-ence Foundation of China(Grant No.62206123,)and a research gift from the Office of the Cyberspace Adminis-tration of Shenzhen Municipal Committee of the Com-munist Party of China. （Grant No.62206123,）

电子学报（英文）

ISSN：1022-4653

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