艺术史的僵尸化

IF 0.2 0 HUMANITIES, MULTIDISCIPLINARY
Tsila Hassine, Z. Neeman
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引用次数: 3

摘要

在过去的几年里,深度学习人工智能神经网络在艺术图像分析和生成方面取得了重大里程碑,产生了一些人所说的“艺术”。“我们对近年来备受关注的几个项目的一些艺术缺陷进行了批判性反思。我们引入术语“僵尸艺术”来描述死去大师的新图像的生成,以及“AI再现性测试”。“我们指出了人工智能固有的问题,以及它在艺术史上的应用。综上所述,我们针对这些新的强大的人工智能艺术图像分析和生成技术,提出了人工智能生成艺术和艺术史的新方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Zombification of Art History
In the past few years deep-learning AI neural networks have achieved major milestones in artistic image analysis and generation, producing what some refer to as ‘art.’ We reflect critically on some of the artistic shortcomings of a few projects that occupied the spotlight in recent years. We introduce the term ‘Zombie Art’ to describe the generation of new images of dead masters, as well as ‘The AI Reproducibility Test.’ We designate the problems inherent in AI and in its application to art history. In conclusion, we propose new directions for both AI-generated art and art history, in the light of these new powerful AI technologies of artistic image analysis and generation.
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来源期刊
Journal of Science and Technology of the Arts
Journal of Science and Technology of the Arts HUMANITIES, MULTIDISCIPLINARY-
CiteScore
0.40
自引率
0.00%
发文量
0
审稿时长
12 weeks
期刊介绍: The Journal of Science and Technology of the Arts (CITARJ) covers a wide range of topics related to the study and practice of Artistic work approached through Science and Technology, including: -Aesthetics of New Media- Audiovisual and Cinematic Art- Computer Music- Digital Arts - Digital Culture- Generative Art/Systems- Interactive Art - Interactive Multimedia- Interactive Sound- New Interfaces for Digital Expression- New Media Art- Tangible interfaces.
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