CCF多媒体专委会 2024-03-04 19:46 山东

AIART 2024 Call for Papers

The 6th IEEE Workshop on

Artificial Intelligence for Art Creation

Overview

Recent advances of AI-Generated Content (AIGC) have been an innovative engine for digital content generation. As an ever increasingly powerful tool, AI has gained great popularity across the whole spectrum of art, such as AI painting, composing, writing, virtual hosting, fashion, design, etc. Tools like Sora even demonstrates the ability to model and simulate the physical world. An era of AI-generated videos or movies is coming. Moreover, AI is also capable of understanding art, and evaluating the aesthetic value of art as well. AI has not only exhibited creativity to some extent, but also served as an enabling tool to discover the principles underneath creativity and imagination, which are traditional challenges for neuroscience, cognitive science, and psychology. Despite all these promising features of AI for Art, we still have to face the many challenges such as the explainability of generative models and the copyright issues of AI art works.

This is the 6th AIART workshop to be held in conjunction with ICME 2024 in Niagara Falls, Canada, and it aims to bring forward cutting-edge technologies and most recent advances in the area of AI art in terms of enabling creation, analysis, understanding, and rendering technologies.

The theme topic of AIART 2024 will be Big Models for Art Creation. We plan to invite 3 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, one Best Paper Award will be given.

AIART 2024 is also launching a demo track for artists to showcase their creative artworks in the form of in-person or online 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://2024.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:

·         Affective computing for AI Art

·         Theory and practice of AI creativity

·         Neuroscience, cognitive science and psychology for AI Art

·         Explainable AI (XAI) for art

·         AI Art for metaverse

·         AI for painting generation

·         AI for 3D content generation

·         AI for video and movie

·         AI for cultural heritage

·         AI for sound synthesis, music composition, performance, and instrument design

·         AI for poem composing and synthesis

·         AI for typography and graphic design

·         AI for fashion, makeup, and virtual hosting

·         AI for multimodal and cross-modal art generation

·         AI for art style transfer

·         AI for aesthetics understanding, analysis, assessment and prediction

·         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://2024.ieeeicme.org/author-information-and-submission-instructions/

Submission address: https://cmt3.research.microsoft.com/ICMEW2024

Important Dates

Submissions due：April 6, 2024

Workshop date：TBD

Homepage

https://aiart2024.github.io/

Technical Program Committee

·         Ajay Kapur, California Institute of the Arts, USA

·         Alan Chamberlain, University of Nottingham, Nottingham

·         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

·         Carlos Castellanos, Rochester Institute of Technology, USA

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

·         Hongxun Yao, Harbin Institute of Technology, China

·         Jesse Engel, Google, USA

·         Jia Jia, Tsinghua University, China

·         Jianyu Fan, Microsoft, Canada

·         Jing Wang, Beijing Institute of Technology, China

·         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

·         Na Qi, Beijing University of Technology, China

·         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

·         Qiuqiang Kong, ByteDance, 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

·         Shun Kuremoto，Uchida Yoko Co.,Ltd，Japan

·         Si Liu, Beihang University, China

·         Simon Lui, Huawei Technologies Co., Ltd, China

·         Tiange Zhou, NetEase Cloud Music, 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

·         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

ltmou@bjut.edu.cn

Feng Gao

Peking University

Beijing, China

gaof@pku.edu.cn

Kejun Zhang

Zhejiang University

Hangzhou, China

zhangkejun@zju.edu.cn

Jiaying Liu

Peking University

Beijing, China

liujiaying@pku.edu.cn

Ling Fan

Tezign.com

Tongji University Design Artificial Intelligence Lab

Shanghai, China

lfan@tongji.edu.cn

Zeyu Wang

Hong Kong University of Science and
Technology (Guangzhou)

Guangzhou, China

zeyuwang@ust.hk

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 (original title: International Journal of Automation and Computing), 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.

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, Imperial College London, UK

·         Brian C. Lovell, The University of Queensland, Australia

Call For Sponsorship

Platinum Level (RMB￥100,000)
- 4 free registrations (or including up to 4 full registration)
- Invitation to give an industry keynote speech
- Logo on AIART 2024 official website with description and link to sponsor website
- Logo on workshop handbook and presentation material (under Platinum Level)
- One on one negotiation for special requirements.
Gold Level (RMB￥50,000)
- 2 free registrations (or including up to 2 full registration)
- Participation in related industry panel
- Logo on AIART 2024 official website with short description and link to sponsor website
- Logo on workshop handbook and presentation material (under Gold Level)
- One on one negotiation for special requirements.
Silver Level (RMB￥20,000)
- 1 free registration (or including up to 1 full registration)
- Logo on AIART 2024 official website with link to sponsor website
- Logo on workshop handbook and presentation material (under Silver Level)