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: http://www.ieee-mipr.org/submit_instruction.html

Submission address: https://cmt3.research.microsoft.com/AIArt2019/Submission/Index

Submit link

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