论文标题
使用人工智能学习艺术风格及其基于心理实验的评估
Learning of Art Style Using AI and Its Evaluation Based on Psychological Experiments
论文作者
论文摘要
GAN（生成对抗网络）是一种新的AI技术，可以通过更少的训练数据进行深入学习，并且具有实现两个图像集之间转换的能力。我们使用gan进行了几种具有不同艺术风格的艺术品之间的比较。我们已经准备了几个图像集；一套花照片集（A），印象派图纸的艺术图像集（B1），抽象绘画的艺术图像集（B2），一组中国象征性绘画的艺术图像集（B3）以及由Naoko Tosa创建的艺术图像集（B4），这是一位作者。使用GAN和四个图像集（B1，B2，B3，B4）进行了B之间的转换。使用这四个图像集，我们通过要求由23名学生组成的受试者填写问卷来进行心理实验。通过分析获得的问卷，我们找到了以下内容。显然，抽象图纸和比喻图纸是不同的。西部和东部的比喻图纸被认为是相似的。 Naoko Tosa的抽象图像被判断为类似于西方抽象图像。这些结果表明，AI可以用作分析工具，以揭示ART类型之间的差异。
GANs (Generative adversarial networks) is a new AI technology that can perform deep learning with less training data and has the capability of achieving transformation between two image sets. Using GAN we have carried out a comparison between several art sets with different art style. We have prepared several image sets; a flower photo set (A), an art image set (B1) of Impressionism drawings, an art image set of abstract paintings (B2), an art image set of Chinese figurative paintings, (B3), and an art image set of abstract images (B4) created by Naoko Tosa, one of the authors. Transformation between set A to each of B was carried out using GAN and four image sets (B1, B2, B3, B4) was obtained. Using these four image sets we have carried out psychological experiment by asking subjects consisting of 23 students to fill in questionnaires. By analyzing the obtained questionnaires, we have found the followings. Abstract drawings and figurative drawings are clearly judged to be different. Figurative drawings in West and East were judged to be similar. Abstract images by Naoko Tosa were judged as similar to Western abstract images. These results show that AI could be used as an analysis tool to reveal differences between art genres.
