情感驱动的智能艺术研究综述  

Review of Emotion-driven Artificial Intelligent Art Research

作　　者：吴宋若瑶 沈寒暑 陈铭威 洪子帧 崔楚峤 肖懿 张克俊[1] WU-SONG Ruoyao;SHEN Hanshu;CHEN Mingwei;HONG Zizhen;CUI Chuqiao;XIAO Yi;ZHANG Kejun(College of Computer Science and Technology,Zhejiang University,Hangzhou 310027,China;School of Design,Hunan University,Changsha 410082,China)

机构地区：[1]浙江大学计算机科学与技术学院,杭州310027 [2]湖南大学设计艺术学院,长沙410082

出　　处：《包装工程》2024年第12期1-11,I0006,共12页Packaging Engineering

基　　金：国家自然科学自然基金(62272409)。

摘　　要：目的从数据、方法,以及应用三方面梳理情感化智能艺术的研究现状,并总结该领域的发展历程、局限性及未来研究趋势。方法基于当前的文献、研究成果与应用产品,回顾了情感标注方式的变化及其对情感艺术数据库的影响。解释了情感识别、可控生成、跨媒体等智能技术的实现原理,以及多种情感驱动的智能艺术方法。总结了三种情感与智能艺术的交互机制,以及代表性产品对医疗健康、文化教育、商业营销等领域的影响。结论情感化方法提升了智能作品的感染力,支持了艺术创作中的人机协同。随着艺术与技术的进一步融合,艺术领域将迎来新的生产、体验与消费模式。The work aims to sort out the current research status of emotion-driven AI art from three aspects:data,methods,and applications,and summarize the development history,limitations,and future research trends in this field.First,based on the literature,research results,and application products,the changes in emotion annotation methods and their impacts on affective art databases were reviewed.Then,the implementation principles of technologies such as emotion recognition,controllable generation,and cross-media search were explained,and a variety of emotion-driven AI artistic methods were discussed.Finally,three interaction mechanisms between emotion and AI art were summarized,and the impact of related products on creativity,healthcare,education,and business marketing was analyzed.Affective computing methods enhance the infectiousness of AI artworks and support human-AI co-creation.With the further integration of art and technology,the art field will usher in new modes of production,experience,and consumption.

关 键 词：人工智能艺术 情感计算 情感艺术数据库 情感驱动的艺术生成 

分 类 号：TB482[一般工业技术—包装工程]