Knowledge Commons of Institute of Automation,CAS
Cogeneration of Innovative Audio-visual Content: A New Challenge for Computing Art | |
Mengting Liu1; Ying Zhou2,3; Yuwei Wu4; Feng Gao4 | |
发表期刊 | Machine Intelligence Research |
ISSN | 2731-538X |
2024 | |
卷号 | 21期号:1页码:4-28 |
摘要 | In recent years, computing art has developed rapidly with the in-depth cross study of artificial intelligence generated content (AIGC) and the main features of artworks. Audio-visual content generation has gradually been applied to various practical tasks, including video or game score, assisting artists in creation, art education and other aspects, which demonstrates a broad application prospect. In this paper, we introduce innovative achievements in audio-visual content generation from the perspective of visual art generation and auditory art generation based on artificial intelligence (AI). We outline the development tendency of image and music datasets, visual and auditory content modelling, and related automatic generation systems. The objective and subjective evaluation of generated samples plays an important role in the measurement of algorithm performance. We provide a cogeneration mechanism of audio-visual content in multimodal tasks from image to music and display the construction of specific stylized datasets. There are still many new opportunities and challenges in the field of audio-visual synesthesia generation, and we provide a comprehensive discussion on them. |
关键词 | Artificial intelligence (AI) art, audio-visual, artificial intelligence generated content (AIGC), multimodal, artistic evaluation |
DOI | 10.1007/s11633-023-1453-5 |
七大方向——子方向分类 | 其他 |
国重实验室规划方向分类 | 其他 |
是否有论文关联数据集需要存交 | 否 |
中文导读 | https://mp.weixin.qq.com/s/uzbyM60-ndLKrqHAj1foxg |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/56022 |
专题 | 学术期刊_Machine Intelligence Research |
作者单位 | 1.Advanced Institute of Information Technology, Peking University, Hangzhou 311215, China 2.School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen 518000, China 3.Peng Cheng Laboratory, Shenzhen 518000, China 4.School of Arts, Peking University, Beijing 100871, China |
推荐引用方式 GB/T 7714 | Mengting Liu,Ying Zhou,Yuwei Wu,et al. Cogeneration of Innovative Audio-visual Content: A New Challenge for Computing Art[J]. Machine Intelligence Research,2024,21(1):4-28. |
APA | Mengting Liu,Ying Zhou,Yuwei Wu,&Feng Gao.(2024).Cogeneration of Innovative Audio-visual Content: A New Challenge for Computing Art.Machine Intelligence Research,21(1),4-28. |
MLA | Mengting Liu,et al."Cogeneration of Innovative Audio-visual Content: A New Challenge for Computing Art".Machine Intelligence Research 21.1(2024):4-28. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
MIR-2022-12-376.R2.p(14438KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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