Editorial for Special Issue on Artificial Intelligence for Art
文献类型：期刊论文
| 作者 | Luntian Mou3; Feng Gao2; Zijin Li1; Jiaying Liu2; Hongxun Yao5; Johan F. Hoorn4 |
| 刊名 | Machine Intelligence Research
 |
| 出版日期 | 2024 |
| 卷号 | 21期号:1页码:1-3 |
| ISSN号 | 2731-538X |
| DOI | 10.1007/s11633-023-1386-z |
| 英文摘要 | As an innovative engine for digital content generation, AI-generated content (AIGC) has drawn more and more attention from academic fields as well as industries. Specifically 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, virtual hosting, fashion, and design. Moreover, AI is also becoming capable of understanding art, evaluating the aesthetic value of art, and protecting the copyright 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 special issue seeks original and novel contributions toward advancing the theory, architecture, algorithmic design, and applications for artificial intelligence in art creation, understanding, evaluation as well as protection. The special issue will provide a timely collection of recent advances to benefit the researchers and practitioners working in the cross research fields of machine intelligence, art, affective computing, computer vision, multimedia, design, cognitive science, and psychology. Finally, six papers are accepted to form this special issue. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/56021]  |
| 专题 | 自动化研究所_学术期刊_International Journal of Automation and Computing |
| 作者单位 | 1.Central Conservatory of Music, China 2.Peking University, China 3.Beijing University of Technology, China 4.The Hong Kong Polytechnic University, China 5.Harbin Institute of Technology, China |
| 推荐引用方式 GB/T 7714 | Luntian Mou,Feng Gao,Zijin Li,et al. Editorial for Special Issue on Artificial Intelligence for Art[J]. Machine Intelligence Research,2024,21(1):1-3. |
| APA | Luntian Mou,Feng Gao,Zijin Li,Jiaying Liu,Hongxun Yao,&Johan F. Hoorn.(2024).Editorial for Special Issue on Artificial Intelligence for Art.Machine Intelligence Research,21(1),1-3. |
| MLA | Luntian Mou,et al."Editorial for Special Issue on Artificial Intelligence for Art".Machine Intelligence Research 21.1(2024):1-3. |
入库方式： OAI收割
来源：自动化研究所
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