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On-line Access: 2024-02-19

Received: 2024-02-19

Revision Accepted: 2024-02-19

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Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Junping ZHANG

https://orcid.org/0000-0002-5924-3360

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Frontiers of Information Technology & Electronic Engineering  2024 Vol.25 No.1 P.1-5

http://doi.org/10.1631/FITEE.2410000



Recent advances in artificial intelligence generated content


Author(s):  Junping ZHANG, Lingyun SUN, Cong JIN, Junbin GAO, Xiaobing LI, Jiebo LUO, Zhigeng PAN, Ying TANG, Jingdong WANG

Affiliation(s):  School of Computer Science, Fudan University, Shanghai 200433, China; more

Corresponding email(s):   jpzhang@fudan.edu.cn

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Junping ZHANG, Lingyun SUN, Cong JIN, Junbin GAO, Xiaobing LI, Jiebo LUO, Zhigeng PAN, Ying TANG, Jingdong WANG.
Recent advances in artificial intelligence generated content[J]. Frontiers of Information Technology & Electronic Engineering, 2024, 25(1): 1-5.

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publisher="Zhejiang University Press & Springer",
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Abstract: 
Since OpenAI released ChatGPT in December 2022, it has quickly attracted considerable attention from the industry and academia because of its impressive abilities in terms of text generation, conversation, and complex reasoning.

In this context, the journal Frontiers of Information Technology & Electronic Engineering has organized a special issue on the recent advances in AIGC. This special issue focuses on theories, algorithms, and applications of AIGC, and its related fields. By attracting high-quality papers, we hope to help researchers in academia and industry gain a deeper understanding of the fundamental theories behind AIGC and its potential applications. These highquality works will inspire more people to join and further advance the field of AIGC. We thus called for papers on the following topics (but not limited to): (1) AI-generated music; (2) AI-generated painting; (3) AI dialogue models; (4) AI news summaries; (5) AI and the metaverse; (6) AI and digital humans; (7) AI image editing; (8) AI-generated short videos; (9) AIgenerated multi-media content; (10) Chat Generative Pre-trained Transformer (ChatGPT) related work. Twelve papers have been selected for this issue after a rigorous review process, including one comment paper, one perspective paper, three review articles, six research articles, and one correspondence paper. We organize them in three main parts, including Chat-GPT, diffusion models, and prompt learning and multimodality.

人工智能生成内容最新进展

张军平1,孙凌云2,靳聪3,高俊斌4,李小兵5,罗杰波6,潘志庚7,唐瑛8,王井东9
1复旦大学计算机科学技术学院,中国上海市,200433
2浙江大学国际设计研究院,中国杭州市,310058
3中国传媒大学信息与通信工程学院,中国北京市,100024
4悉尼大学商学院,澳大利亚新南威尔士州,2006
5中央音乐学院音乐人工智能与音乐信息科技系,中国北京市,100032
6罗切斯特大学计算机科学系,美国纽约州,14627
7南京信息工程大学人工智能学院,中国南京市,210044
8罗文大学电气与计算机工程系,美国新泽西州格拉斯伯勒,08028
9百度,中国北京市,100085
概要:人工智能生成内容(AIGC)是近年来人工智能(AI)领域一个研究热点,它有望取代人类以较低成本高效率执行内容生成工作,如音乐、绘画、多模态内容生成、新闻文章、总结报告、股评摘要,以至元宇宙中的内容生成和数字人。AIGC为未来AI发展和实现提供了一条新的技术路径。
在此背景下,《信息与电子工程前沿(英文)》期刊组织了一期关于AIGC最新进展的特刊。本期特刊关注AIGC理论、算法、应用及相关领域。通过吸引高质量论文,我们希望帮助学术界和工业界研究人员更深入了解AIGC背后的基本理论及其潜在应用,激励更多研究人员加入并推进AIGC领域的研究。因此,我们就以下主题(但不限于)征集论文:(1)AI生成音乐;(2)AI生成绘画;(3)AI对话模型;(4)AI新闻摘要;(5)AI与元宇宙;(6)AI与数字人;(7)AI图像编辑;(8)AI生成短视频;(9)AI生成多媒体内容;(10)ChatGPT相关工作。经严格评审,选出12篇论文,包括1篇评论、1篇观点、3篇综述、6篇研究和1篇通讯。我们将其划分为3个主要部分:ChatGPT、扩散模型、提示学习和多模态。
总体而言,本期特刊涵盖了与AIGC开发和应用相关的广泛研究主题,包括人工智能图像/文本生成、三维内容创建、以用户为中心的图形设计、特定风格的音乐生成,以及与因果表征学习、高阶扩散模型相关的工作。此外,还详细调研了概率扩散模型、提示学习和ChatGPT。
最后,感谢所有作者对本期特刊的支持,特别感谢所有评审人对专刊投稿富有见地的意见和有益建议。

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