Artificial Intelligence for Art Creation

San Jose, CA, USA
Jointly with MIPR 2019

Call for Paper

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. It is feasible for an AI painting system to generate desired content in the style of a specific famous painter, eastern or western. Meanwhile, tunes composed by AI also have attracted a large amount of fans and even led people into believing that they were originated from masters of classical music. Moreover, the most impressing development enabled by AI has been achieved recently in virtual hosting. These breakthroughs have brought up great opportunities while posing severe challenges. On the one hand, all these technologies are helping enrich art works needed by human and saving up much human labors. On the other, it is controversial whether to evaluate the values of AI art the same way that human art is measured, and an even challenging issue is to discern AI art from human art.

This is the first AIArt workshop to be held on MIPR and it aims to bring forward cutting-edge technologies and most recent advances in the area of AI art in terms of the enabling technologies and their counterpart of analyzing and authenticating methods.

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

  • Enhanced versions of GAN for AI painting
  • Style transfer of AI painting
  • Cognitive intelligence and deep learning for music composing, performing and matching
  • AI for poem composing and other types of literature creation
  • AI makeup
  • AI fashion and its aesthetics
  • Virtual human for program hosting
  • Aesthetic-driven AI art and design
  • Artistic style transfer among AI artworks
  • Understanding, analysis and prediction of the aesthetics in AI artworks
  • Deep learning techniques for aesthetics understanding
  • Authentication and copyright issues of AI artworks

Paper Submission

Authors are invited to submit regular papers (6 pages), short papers (4 pages), and demo papers (2 pages). More information:

Submission address:

Submit link

Important dates

Submissions due
January 25, 2019
Acceptance notification
February 1, 2019
Camera-ready papers due
February 8, 2019
Workshop date(tentative date)
March 28-30, 2019

Technical Program Committee

  • Jiaying Liu, Peking University, China
  • John See, Multimedia University, Malaysia
  • Lai-Kuan Wong, Multimedia University, Malaysia
  • Long Ye, China University of Communication, China
  • Rui Wang, Institute of Information Engineering, Chinese Academy of Sciences, China
  • Shasha Mao, Xidian University, China
  • Wei-Ta Chu, National Chung Cheng University, Taiwan
  • Wei Ma, Beijing University of Technology, China
  • Xiaoyan Sun, Microsoft Research of Asia, China
  • Si Liu, Beihang University, China
  • Shiqi Wang, City University of Hong Kong, China


Luntian Mou

Beijing University of Technology

Beijing, China

Dr. Luntian Mou is an assistant professor in Beijing University of Technology, where he is the founding director with the Intelligent Transportation and Intelligent Multimedia (ITAIM) research group. His current research interests include intelligent transportation, intelligent multimedia, machine learning and artificial intelligence. He has a research background in multimedia security, copy detection and video fingerprinting. And he serves as the Chair of System subgroup in AVS workgroup in China.

Feng Gao

Tsinghua University

Beijing, China

Dr. Feng Gao is a postdoc researcher in Tsinghua University. He has long researched in the disciplinary fields of AI and art, especially in AI painting. Currently, he is also enthusiastic in virtual human. He has demonstrated his AI painting system, called Daozi, in several workshops and drawn much attention. In addition, he plans to host an AI Art Summit in Jan, 2019, and will also present a demo of his AI crafts on this AIArt workshop.

Xiaolin Hu

Tsinghua University

Beijing, China

Dr. Xiaolin Hu is an associate professor in Tsinghua University. His current research interests include developing brain-inspired computational models and discovering brain mechanisms of visual and auditory processing. He has maintained a good publication record in top journals and conferences in the field of neural computing, computer vision and artificial intelligence. He is an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems. Recently, he became interested in music generation using AI techniques and co-founded a company, Lingdongyin, specializing on automatic music production.

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.