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人工智能生成内容技术综述

张旭龙 瞿晓阳 谢骏飞 刘鹏程 肖春光 王健宗

大数据2026,Vol.12Issue(1):146-173,28.
大数据2026,Vol.12Issue(1):146-173,28.DOI:10.11959/j.issn.2096-0271.2025071

人工智能生成内容技术综述

AIGC:a survey of AI-generated content technologies

张旭龙 1瞿晓阳 1谢骏飞 1刘鹏程 2肖春光 1王健宗3

作者信息

  • 1. 平安科技(深圳)有限公司,广东 深圳 518063
  • 2. 中国科学技术大学先进技术研究院,安徽 合肥 230026
  • 3. 深圳市宝安区教育事业发展中心,广东 深圳 518101
  • 折叠

摘要

Abstract

As a novel content creation method,AI-generated content(AIGC)technology provides new solutions to the challenges of digital intelligence in the digital economy.AIGC utilizes artificial intelligence to assist or replace manual content creation,generating various forms of content such as text,images,audio,and video based on user needs.In recent years,the rapid development of deep learning models has significantly enhanced the generative capabilities of AIGC,making it a research hotspot in the field of artificial intelligence.As a fundamental technology,AIGC has enormous application potential but also faces certain limitations.This paper provides a comprehensive overview of AIGC technology.Firstly,it introduces the related algorithms of AIGC,including generative adversarial networks,variational autoencoder,diffusion models,and large language models;then it explores the applications of AIGC in generating different content forms;finally,it summarizes the challenges faced by AIGC technology and discusses future development trends.

关键词

人工智能生成内容/生成对抗网络/变分自编码器/扩散模型/大语言模型

Key words

AI-generated content/generative adversarial networks/variational autoencoder/diffusion model/large language model

分类

信息技术与安全科学

引用本文复制引用

张旭龙,瞿晓阳,谢骏飞,刘鹏程,肖春光,王健宗..人工智能生成内容技术综述[J].大数据,2026,12(1):146-173,28.

基金项目

广东省重点领域研发计划"新一代人工智能"重大专项(No.2021B0101400003) The Key Research and Development Program of Guangdong Province(No.2021B0101400003) (No.2021B0101400003)

大数据

2096-0271

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