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The Zombification of Art History
Journal of Science and Technology of the Arts ( IF 0.2 ) Pub Date : 2019-12-29 , DOI: 10.7559/citarj.v11i2.663
Tsila Hassine , Ziv Neeman

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.

中文翻译:

艺术史的僵化

在过去的几年中,深度学习AI神经网络在艺术图像分析和生成方面取得了重要的里程碑,产生了一些所谓的“艺术”。我们批判性地反映了近年来引起人们关注的一些项目的某些艺术缺陷。我们引入“僵尸艺术”一词来描述死大师的新图像,以及“ AI再现性测试”。我们指定了AI及其在艺术史中的应用所固有的问题。总之,鉴于这些新的强大的AI艺术图像分析和生成技术,我们为AI生成的艺术和艺术历史提出了新的方向。
更新日期:2019-12-29
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