The 4th IEEE Workshop on
Artificial Intelligence for Art Creation

July 18-22, 2022

Call for Papers

Artificial Intelligence (AI) has already fueled many academic fields as well as industries. In the area of art creation, AI has demonstrated its great potential and gained increasing popularity. People are greatly impressed by AI painting, composing, writing, and designing. And the emerging technology of metaverse even provides more opportunity for AI Art. AI has not only exhibited a certain degree of creativity, but also helped in uncovering the principles and mechanisms of creativity and imagination from the perspective of neuroscience, cognitive science and psychology.

This is the 4th AIART workshop to be held in conjunction with ICME 2022, which is a flagship international conference in the field of multimedia. AIART 2022 aims to bring forward cutting-edge technologies and most recent advances in the area of AI Art, which enable the creation, analysis, understanding, and rendering of art works, digitally or physically. The theme topic of AIART 2022 will be Affective computing for AI Art. And we plan to invite 5 keynote speakers to present their insightful perspectives on AI Art.

We will edit and publish a book with a title like Artificial Intelligence for Art Creation, Understanding, and Protection based mainly on the significant extension of the papers accepted by AIART 2022. The book is to appear in the Book Series of Multimedia Computing, Communication, and Intelligence published by Taylor and Francis Group.

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

  • Affective computing for AI Art
  • Theory and practice of AI creativity
  • Neuroscience, cognitive science and psychology for AI Art
  • AI Art for metaverse
  • AI for painting generation
  • AI for music/sound synthesis, composing, matching and instrument digital design
  • AI for poem composing and synthesis
  • AI for typography and graphic design
  • AI for fashion, makeup and virtual human
  • AI for style transfer of artworks
  • AI for aesthetics understanding, analysis, assessment and prediction
  • Authentication and copyright issues of AI artworks

Paper Submission

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

Submission address:

Submit link

Important Dates

Submissions due
April 9, 2022

Technical Program Committee (Tentative)

  • Ajay Kapur, California Institute of the Arts, USA
  • 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
  • Beici Liang, Tencent Music Entertainment Group, 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
  • Changsheng Xu, Institute of Automation, Chinese Academy of Sciences, China
  • Dongmei Jiang, Northwestern Polytechnical University, China
  • Haifeng Li, Harbin Institute of Technology, China
  • Haipeng Mi, Tsinghua University, China
  • Hongxun Yao, Harbin Institute of Technology, China
  • Jesse Engel, Google, USA
  • Jia Jia, Tsinghua University, China
  • Jianyu Fan, Microsoft, Canada
  • John See, Multimedia University, Malaysia
  • Juan Huang, Johns Hopkins University, USA
  • Junping Zhang, Fudan University, China
  • Kejun Zhang, Zhejiang University, China
  • Ke Lv, University of Chinese Academy of Sciences, China
  • Kenneth Fields, Central Conservatory of Music, China
  • Lai-Kuan Wong, Multimedia University, Malaysia
  • Lamtharn Hanoi Hantrakul, ByteDance, USA
  • Lei Xie, Northwestern Polytechnical University, 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
  • Ming Zhang, Nanjing Art College, China
  • Mohammad Naim Rastgoo, Queensland University of Technology, Australia
  • Nick Bryan-Kinns, Queen Mary University of London, UK
  • Nina Kraus, Northwestern University, USA
  • Pengtao Xie, University of California, San Diego, USA
  • Philippe Pasquier, Simon Fraser University, Canada
  • Qin Jin, Renmin University, China
  • Rebecca Fiebrink, University of 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
  • Shangfei Wang, University of Science and Technology of China, China
  • Shasha Mao, Xidian University, China
  • Shiguang Shan, Institute of Computing Technology, Chinese Academy of Sciences, China
  • Shiqi Wang, City University of Hong Kong, China
  • Si Liu, Beihang University, China
  • Simon Lui, Tencent Music Entertainment Group, China
  • Tiange Zhou, NetEase Cloud Music, China
  • Weiming Dong, Institute of Automation, Chinese Academy of Sciences, China
  • Wei-Ta Chu, National Chung Cheng University, Taiwan
  • Wei Li, Fudan University, China
  • Weiwei Zhang, Dalian Maritime University, China
  • Wei Zhong, China University of Communication, China
  • Xi Shao, Nanjing University of Posts and Telecommunications, 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
  • Xinfeng Zhang, University of Chinese Academy of Sciences, China
  • Xu Tan, Microsoft Research Asia, China
  • Yanchao Bi, Beijing Normal University, China
  • Yi Qin, Shanghai Conservatory of Music, China
  • Ying-Qing Xu, Tsinghua University, China
  • Yirui Wu, Hohai University, China
  • Yuanchun Xu, Xiaoice, China
  • Zhiyao Duan, University of Rochester, USA

Organizing Team

Luntian Mou

Beijing University of Technology

Beijing, China

Dr. Luntian Mou is an Associate Professor with Beijing Institute of Artificial Intelligence (BIAI), the Faculty of Information Technology, Beijing University of Technology. He was a Visiting Scholar with the University of California, Irvine, from 2019 to 2020. And he was a Postdoctoral Fellow at Peking University, from 2012 to 2014. He initiated the IEEE Workshop on Artificial Intelligence for Art Creation (AIART) on MIPR 2019. His current research interests include multimodal machine learning, personal health navigation, affective computing, multimedia computing, intelligent transportation, and artificial intelligence. He has a research background in multimedia security, copy detection and video fingerprinting. And he serves as a Co-Chair of System subgroup in AVS workgroup and IEEE 1857 workgroup as well. He is a Member of IEEE (SA, SPS), ACM, CCF, CAAI, CSIG, and MPEG China.

Feng Gao

Peking University

Beijing, China

Dr. Feng Gao is an assistant professor with the School of Arts, Peking University. He has long researched in the disciplinary fields of AI and art, especially in AI painting. He co-initiated the international workshop of AIART. Currently, he is also enthusiastic in virtual human. He has demonstrated his AI painting system, called Daozi, in several workshops and drawn much attention.

Zijin Li

Central Conservatory of Music

Beijing, China

Dr. Zijin Li is a Professor with the Department of AI Music and Music Information Technology, Central Conservatory of Music. She was a Visting Scholar with McGill University. Her current research interests include music acoustics, music creativity, new musical instrument design and Innovation theory of music technology. She is the guest editor of Frontiers: Human-Centred Computer Audition: Sound, Music, and Healthcare and Journal of Cognitive Computation and Systems(JCCS)SI: Perception and Cognition in Music Technology. She is committee chair of New Interface Music Expressions(NIME2021), IEEE MIPR AI Art Workshop , China Sound and Music Technology Conference (CSMT), China AI Music Development Symposium, China Musical Instrument Symposium. She served as the judge of the New Music Device Invention Award of International "Danny award", International Electronic Music Competition (IEMC) and NCDA Awards.

Jiaying Liu

Peking University

Beijing, China

Dr. Jiaying Liu is currently an Associate Professor with the Wangxuan Institute of Computer Technology, Peking University. She received the Ph.D. degree (Hons.) in computer science from Peking University, Beijing China, 2010. She has authored over 100 technical articles in refereed journals and proceedings, and holds 43 granted patents. Her current research interests include multimedia signal processing, compression, and computer vision. Dr. Liu is a Senior Member of IEEE, CSIG and CCF. She was a Visiting Scholar with the University of Southern California, Los Angeles, from 2007 to 2008. She was a Visiting Researcher with the Microsoft Research Asia in 2015 supported by the Star Track Young Faculties Award. She has served as a member of Membership Services Committee in IEEE Signal Processing Society, a member of Multimedia Systems & Applications Technical Committee (MSA TC), Visual Signal Processing and Communications Technical Committee (VSPC TC) in IEEE Circuits and Systems Society, a member of the Image, Video, and Multimedia (IVM) Technical Committee in APSIPA. She received the IEEE ICME 2020 Best Paper Awards and IEEE MMSP 2015 Top10% Paper Awards. She has also served as the Associate Editor of IEEE Trans. on Image Processing, and Elsevier JVCI, the Technical Program Chair of IEEE VCIP-2019/ACM ICMR-2021, the Publicity Chair of IEEE ICME-2020/ICIP-2019, and the Area Chair of CVPR-2021/ECCV-2020/ICCV-2019. She was the APSIPA Distinguished Lecturer (2016-2017).

Wen-Huang Cheng

National Chiao Tung University


Dr. Wen-Huang Cheng is a Professor with the Institute of Electronics, National Chiao Tung University (NCTU), Taiwan, where he is the Founding Director with the Artificial Intelligence and Multimedia Laboratory (AIMMLab). His current research interests include multimedia, artificial intelligence, computer vision, machine learning, social media, and financial technology. He is a co-organizer of the 2018 International Workshop on AI Aesthetics in Art and Media, in conjunction with 2018 ACCV.

Ling Fan

Tongji University Design Artificial Intelligence Lab

Shanghai, China

Dr. Ling Fan is a scholar and entrepreneur to bridge machine intelligence with creativity. He is the founding chair and professor of Tongji University Design Artificial Intelligence Lab. Before, he held teaching position at the University of California at Berkeley and China Central Academy of Fine Arts. Dr. Fan co-founded, a leading technology start-up with the mission to build digital infrastructure for creative contents. Tezign is backed by top VCs like Sequoia Capital and Hearst Ventures. Dr. Fan is a World Economic Forum Young Global Leader, an Aspen Institute China Fellow, and Youth Committee member at the Future Forum. He is also a member of IEEE Global Council for Extended Intelligence.
Dr. Fan received his doctoral degree from Harvard University and master's degree from Princeton University. He recently published From Universality of Computation to the Universality of Imagination, a book on how machine intelligence would influence human creativity.