今年7月,由MIR参与合作举办的学术会议AIART 2025将在法国召开(与ICME 2025同期),Workshop现公开征稿中,并诚邀赞助!

征 稿 启 事
AIART 2025 Call for Papers
The 7th IEEE Workshop on Artificial Intelligence for Art Creation
Overview

Recent advances brought by AI-Generated Content (AIGC) have been an innovative engine for digital content generation, drawing more and more attention from both academia and industry. Across creative fields, AI has sparked new genres and experimentations in painting, music, film, storytelling, fashion and design. Researchers explore the concept of co-creation with AI systems as well as the ethical implications of AI generated images and texts. AI has been applied to art historical research and media studies. The aesthetic value of AI generated content and AI’s impact on art appreciation have also been a contended subject in recent scholarship. AI has not only exhibited creative potential, but also stimulated research from diverse perspectives of neuroscience, cognitive science, psychology, literature, art history, media and communication studies. Despite all these promising features of AI for Art, we still have to face the many challenges such as the biases in AI models, lack of transparency and explainability in algorithms, and copyright issues of training data and AI art works.

 

This is the 7th AIART workshop to be held in conjunction with  ICME 2025 in Nantes, France, and it aims to bring forward cutting-edge technologies and most recent advances in the area of AI art as well as perspectives from neuroscience, cognitive science, psychology, literature, art history, media and communication studies.

 

The theme topic of AIART 2025 will be AI and Human Co-creativity. We plan to invite 5 keynote speakers to present their insightful perspectives on AI art.

 

The authors of selected high-quality papers will be invited to submit an extended version to the Machine Intelligence Research (MIR) journal published by Springer.

 

Additionally, Best Paper Award will be given.

 

AIART 2025 is also launching a demo track for artists to showcase their creative artworks in the form of in-person art gallery. The demo track will provide a great opportunity for people to experience interactive artworks and communicate creative ideas. The submission guideline for the demo track follows that of the main ICME conference: https://2025.ieeeicme.org/author-information-and-submission-instructions/.

 

Topics

We sincerely invite high-quality papers presenting or addressing issues related to AI art, including but not limited to the following topics:

1) Affective computing for AI Art

2) AI in media studies

3) AI, literature, and art

4) AI and social justice

5) Theory and practice of AI creativity

6) Neuroscience, cognitive science and psychology for AI Art

7) AI Art for metaverse

8) AI for painting generation

9) AI for 3D content generation

10) AI for cultural heritage

11) AI for sound synthesis, music composition, performance, and instrument design

12) AI for poem composing and synthesis

13) AI for typography and graphic design

14) AI for fashion, makeup, and virtual hosting

15) AI for multimodal and cross-modal art generation

16) AI for art style transfer

17) AI for aesthetics understanding, analysis, assessment and prediction

18) Authentication and copyright issues of AI artworks

 

Submission

Authors should prepare their manuscript according to the Guide for Authors of ICME available at Author Information and Submission Instructions

https://2025.ieeeicme.org/author-information-and-submission-instructions/

 

Submission address: 

https://cmt3.research.microsoft.com/ICMEW2025

 

Important Dates

Submissions due:March 25, 2025

Workshop date:TBD

 

Homepage

https://aiart-2025.github.io/

 

Technical Program Committee

(滑动右侧进度条查看完整名单)

Ajay Kapur, California Institute of the Arts, USA

Alan Chamberlain, University of Nottingham, UK

Alexander Lerch, Georgia Institute of Technology, USA

Alexander Pantelyat, Johns Hopkins University, USA

Bahareh Nakisa, Deakin University, Australia

Baoqiang Han, China Conservatory of Music, China

Baoyang Chen, Central Academy of Fine Arts, China

Bing Li, King Abdullah University of Science and Technology, Saudi Arabia

Björn W. Schuller, Imperial College London, UK

Bob Sturm, KTH Royal Institute of Technology, Sweden

Borou Yu, Harvard University, USA

Brian C. Lovell, The University of Queensland, Australia

Carlos Castellanos, Rochester Institute of Technology, USA

Changsheng Xu, Institute of Automation, Chinese Academy of Sciences, China

Chunning Guo, Renmin University, China

Cong Jin, China University of Communication, China

Dong Liu, University of Science and Technology of China, China

Dongmei Jiang, Northwestern Polytechnical University, China

Emma Young, BBC, UK

Gus Xia, New York University Shanghai, China & Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates

Haifeng Li, Harbin Institute of Technology, China

Haipeng Mi, Tsinghua University, China

Han Zhang, University of Chinese Academy of Sciences, China

Hanli Wang, Tongji University, China

Haonan Chen, China University of Communication, China

Honghai Liu, Harbin Institute of Technology, China

Hongxun Yao, Harbin Institute of Technology, China

Jesse Engel, Google, USA

Jiafeng Liu, Central Conservatory of Music, China

Jia Jia, Tsinghua University, China

Jiajian Min, Harvard University, USA

Jian Zhang, Peking University, China

Jian Zhao, China Telecom, China

Jianyu Fan, Microsoft, Canada

Jing Huo, Nanjing University, China

Jing Wang, Beijing Institute of Technology, China

Jingjing Chen, Fudan University, China

Jingting Li, Institute of Psychology of the Chinese Academy of Sciences, China

Jingyuan Yang, Shenzhen University, China

Jinshan Pan, Nanjing University of Science and Technology, China

Joanna Zylinska, King’s College London, UK

John See, Multimedia University, Malaysia

Juan Huang, Johns Hopkins University, USA

Jufeng Yang, Nankai University, China

Junping Zhang, Fudan University, China

Kang Zhang, Hong Kong University of Science and Technology (Guangzhou), China

Kate Crawford, University of Southern California, USA

Ke Lv, University of Chinese Academy of Sciences, China

Kenneth Fields, Central Conservatory of Music, China

Lai-Kuan Wong, Multimedia University, Malaysia

Lamberto Coccioli, Royal Birmingham Conservatoire, UK

Lamtharn Hanoi Hantrakul, ByteDance, USA

Lei Xie, Northwestern Polytechnical University, China

Leida Li, Xidian University, China

Li Liu, Hong Kong University of Science and Technology (Guangzhou), China

Li Song, Shanghai Jiao Tong University, China

Li Zhou, China University of Geosciences (Wuhan), China

Lianli Gao, University of Electronic Science and Technology of China, China

Lin Gan, Tianjin University, China

Long Ye, China University of Communication, China

Maosong Sun, Tsinghua University, China

Mei Han, Ping An Technology Art institute, USA

Mengjie Qi, China Conservatory of Music, China

Mengshi Qi, Beijing University of Posts and Telecommunications, China

Mengyao Zhu, Huawei Technologies Co., Ltd, China

Ming Zhang, Nanjing Art College, China

Mohammad Naim Rastgoo, Queensland University of Technology, Australia

Na Qi, Beijing University of Technology, China

Nancy Katherine Hayles, University of California Los Angeles, USA

Nick Bryan-Kinns, Queen Mary University of London, UK

Nina Kraus, Northwestern University, USA

Pengtao Xie, University of California, San Diego, USA

Pengyun Li, Wuhan Conservatory of Music, China

Philippe Pasquier, Simon Fraser University, Canada

Qi Mao, China University of Communication, China

Qin Jin, Renmin University, China

Qiuqiang Kong, The Chinese University of Hong Kong, China

Rebecca Fiebrink, University of the Arts London, UK

Rick Taube, University of Illinois at Urbana-Champaign, USA

Roger Dannenberg, Carnegie Mellon University, USA

Rongfeng Li, Beijing University of Posts and Telecommunications, China

Rui Wang, Institute of Information Engineering, Chinese Academy of Sciences, China

Ruihua Song, Renmin University, China

Sarah Wolozin, Massachusetts Institute of Technology, USA

Shangfei Wang, University of Science and Technology of China, China

Shasha Mao, Xidian University, China

Shen Li, Henan University, China

Shiguang Shan, Institute of Computing Technology, Chinese Academy of Sciences, China

Shiqi Wang, City University of Hong Kong, China

Shiqing Zhang, Taizhou University, China

Shuai Yang, Peking University, China

Shun Kuremoto, Uchida Yoko Co.,Ltd, Japan

Si Liu, Beihang University, China

Sicheng Zhao, Tsinghua University, China

Simon Colton, Queen Mary University of London, UK

Simon Lui, Huawei Technologies Co., Ltd, China

Siwei Ma, Peking University, China

Steve DiPaola, Simon Fraser University, Canada

Tiange Zhou, NetEase Cloud Music, China

Wei Chen, Zhejiang University, China

Weibei Dou, Tsinghua University, China

Weiming Dong, Institute of Automation, Chinese Academy of Sciences, China

Wei-Ta Chu, National Chung Cheng University, Taiwan, China

Wei Li, Fudan University, China

Weiwei Zhang, Dalian Maritime University, China

Wei Zhong, China University of Communication, China

Wen-Huang Cheng, National Chiao Tung University, Taiwan, China

Wenli Zhang, Beijing University of Technology, China

Wenming Zheng, Southeast University, China

Xi Shao, Nanjing University of Posts and Telecommunications, China

Xi Yang, Beijing Academy of Artificial Intelligence, China

Xiaohong Liu, Shanghai Jiao Tong University, China

Xiaohua Sun, Tongji University, China

Xiaolin Hu, Tsinghua University, China

Xiaojing Liang, NetEase Cloud Music, China

Xiaopeng Hong, Harbin Institute of Technology, China

Xiaoyan Sun, University of Science and Technology of China, China

Xiaoying Zhang, China Rehabilitation Research Center, China

Xihong Wu, Peking University, China

Xin Jin, Beijing Electronic Science and Technology Institute, China

Xinfeng Zhang, University of Chinese Academy of Sciences, China

Xinyuan Cai, Huazhong University of Science and Technology, China

Xu Tan, Microsoft Research Asia, China

Ya Li, Beijing University of Posts and Telecommunications, China

Yan Yan, Xiamen University, China

Yanchao Bi, Beijing Normal University, China

Yi Jin, Beijing Jiaotong University, China

Yi Qin, Shanghai Conservatory of Music, China

Ying-Qing Xu, Tsinghua University, China

Yirui Wu, Hohai University, China

Yuan Yao, Beijing Jiaotong University, China

Yuanchun Xu, Xiaoice, China

Yuanyuan Liu, China University of Geosciences (Wuhan), China

Yuanyuan Pu, Yunnan University, China

Yun Wang, Beihang University, China

Zhaoxin Yu, Shangdong University of Arts, China

Zheng Lian, Institute of Automation of the Chinese Academy of Sciences, China

Zhi Jin, Sun Yat-Sen University, China

Zhiyao Duan, University of Rochester, USA

Zichun Guo, Beijing University of Chemical Technology, China

Zijin Li, Central Conservatory of Music, China

 

Organizing Team

 

Luntian Mou

Beijing University of Technology

Beijing, China

ltmou@bjut.edu.cn

Feng Gao

Peking University

Beijing, China

gaof@pku.edu.cn

Kejun Zhang

Zhejiang University

Hangzhou, China

zhangkejun@zju.edu.cn

Zeyu Wang

Hong Kong University of Science and

Technology (Guangzhou)

Guangzhou, China

zeyuwang@ust.hk

Gerui Wang

Stanford University

California, USA

grwang@stanford.edu

Ling Fan

Tezign.com

Tongji University Design Artificial Intelligence Lab

Shanghai, China

lfan@tongji.edu.cn

Nick Bryan-Kinns

University of the Arts London

London, UK

n.bryankinns@arts.ac.uk

Ambarish Natu

Australian Government

Australian Capital Territory, Australia

ambarish.natu@gmail.com

 

Partner: Machine Intelligence Research

Machine Intelligence Research, published by Springer, and sponsored by Institute of Automation, Chinese Academy of Sciences, is formally released in 2022. The journal publishes high-quality papers on original theoretical and experimental research, targets special issues on emerging topics and specific subjects, and strives to bridge the gap between theoretical research and practical applications. The journal has been indexed by ESCI, EI, Scopus, CSCD, etc. 

Impact Factor=6.4, JCR Q1

 

MIR official websites:

https://www.springer.com/journal/11633

https://www.mi-research.net

MIR Editor-in-Chief :

Tan Tieniu, Institute of Automation, Chinese Academy of Sciences

MIR Associate Editors-in-Chief:

Liang Wang, Chinese Academy of Sciences, China

Yike Guo, Hong Kong University of Science and Technology, China

Brian C. Lovell, The University of Queensland, Australia

 

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关于Machine Intelligence Research

Machine Intelligence Research(简称MIR,原刊名International Journal of Automation and Computing)由中国科学院自动化研究所主办,于2022年正式出版。MIR立足国内、面向全球,着眼于服务国家战略需求,刊发机器智能领域最新原创研究性论文、综述、评论等,全面报道国际机器智能领域的基础理论和前沿创新研究成果,促进国际学术交流与学科发展,服务国家人工智能科技进步。期刊入选"中国科技期刊卓越行动计划",已被ESCI、EI、Scopus、中国科技核心期刊、CSCD等20余家国际数据库收录,入选图像图形领域期刊分级目录-T2级知名期刊。2022年首个CiteScore分值在计算机科学、工程、数学三大领域的八个子方向排名均跻身Q1区,最佳排名挺进Top 4%,2023年CiteScore分值继续跻身Q1区。2024年获得首个影响因子(IF) 6.4,位列人工智能及自动化&控制系统两个领域JCR Q1区。

 

往期目录
2024年第6期 | 图神经网络,卷积神经网络,生物识别技术...
2024年第5期 | 大语言模型,无人系统,统一分类与拒识...
2024年第4期 | 特约专题: 多模态表征学习
2024年第3期 | 分布式深度强化学习,知识图谱,推荐系统,3D视觉,联邦学习...
2024年第2期 | 大语言模型、零信任架构、常识知识推理、肿瘤自动检测和定位...
2024年第1期 | 特约专题: AI for Art
2023年第6期 | 影像组学、机器学习、图像盲去噪、深度估计...
2023年第5期 | 生成式人工智能系统、智能网联汽车、毫秒级人脸检测器、个性化联邦学习框架... (机器智能研究MIR)
2023年第4期 | 大规模多模态预训练模型、机器翻译、联邦学习......
2023年第3期 | 人机对抗智能、边缘智能、掩码图像重建、强化学习... 
2023年第2期 · 特约专题 | 大规模预训练: 数据、模型和微调
2023年第1期 | 类脑智能机器人、联邦学习、视觉-语言预训练、伪装目标检测... 
2022年第6期 | 因果推理、视觉表征学习、视频息肉分割...
2022年第5期 | 重磅专题:类脑机器学习
2022年第4期 | 来自苏黎世联邦理工学院Luc Van Gool教授团队、清华大学戴琼海院士团队等
2022年第3期 | 聚焦自然语言处理、机器学习等领域;来自复旦大学、中科院自动化所等团队
2022年第2期 | 聚焦知识挖掘、5G、强化学习等领域;来自联想研究院、中科院自动化所等团队
主编谭铁牛院士寄语, MIR第一期正式出版!

 

 

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