1st Edition
Artificial Intelligence for Art Creation and Understanding
About the Editor
Contributors
1. Explainable AI and Music
Nick Bryan-Kinns, Berker Banar, Corey Ford, Courtney N. Reed, Yixiao Zhang, and Jack Armitage
2. AI-Enabled Robotic Theaters for Chinese Folk Art
Haipeng Mi, Yuan Yao, Zhihao Yao, Qirui Sun, Hanxuan Li, Mingyue Gao, Beituo Liu, and Yao Lu
3. AIBO: Or How to Make a ‘Sicko’ Brainwave Opera
Ellen Pearlman
4. Cross-Modal Generation of Visual and Auditory Content: A Survey
Feng Gao, Mengting Liu, and Ying Zhou
5. Artistic Text Style Transfer
Shuai Yang, Zhengbo Xu, Wenjing Wang, and Jiaying Liu
6. Data-Driven Automatic Choreography
Rongfeng Li
7. Toward Human-AI Collaborative Sketching
Zeyu Wang, Tuanfeng Y. Wang, and Julie Dorsey
8. MemoMusic: A Personalized Music Recommendation and Generation Framework Based on Emotion and Memory
Luntian Mou, Yihan Sun, Yunhan Tian, Jueying Li, Juehui Li, Yiqi Sun, Yuhang Liu, Zexi Zhang, Ruichen He, Zijin Li, and Ramesh Jain
9. Algorithmic Composition Techniques for Ancient Chinese Music Restoration and Reproduction: A Melody Generator Approach
Tiange Zhou
10. Understanding Music and Emotion from the Brain
Haifeng Li, Hongjian Bo, Lin Ma, Jing Chen, and Hongwei Li
11. Music Question Answering: Cognize and Perceive Music
Yun Tie, Wenhao Gao, Xiaobing Li, Di Lu, Qingwen Zhou, Jiessie Tie, and Lin Qi
12. Emotional Quality Evaluation for Generated Music
Wei Zhong, Hongfei Wang, Lin Ma, Long Ye, and Qin Zhang
13. A Deep Drift-Diffusion Model for Image Aesthetic Score Distribution Prediction
Xin Jin, Xinning Li, Heng Huang, Xiaodong Li, Chaoen Xiao, and Xiqiao Li
Biography
Luntian Mou received the Ph.D. degree in computer science from the University of Chinese Academy of Sciences, China in 2012. He accomplished as a postdoctoral Researcher with the Institute of Digital Media, Peking University, China in 2014. From 2019 to 2020, he served as a visiting scholar at Donald Bren School of Information and Computer Sciences, University of California, Irvine, USA. He is currently an associate professor with the Beijing Institute of Artificial Intelligence, Beijing University of Technology, China. His research interests include artificial intelligence, machine learning, pattern recognition, affective computing, multimedia computing, and brain-like computing. He has published on renowned journals such as TAFFC, TMM, TOMM, and ESWA. He is the recipient of Beijing Municipal Science and Technology Advancement Award, IEEE Outstanding Contribution to Standardization Award, and AVS Outstanding Contribution on 15th Anniversary Award. He serves as a guest editor for Machine Intelligence Research, and a reviewer for many important international journals and conferences such as TIP, TAFFC, TCSVT, TITS, AAAI, etc. He is a senior member of IEEE and CCF, and a member of ACM. He is the chair of the organizing committee of the 2023 CSIG Conference on Emotional Intelligence (CEI). He is the founding chair of IEEE Workshop on Artificial Intelligence for Art Creation (AIART).
