关于生成的艺术风格:用GAN算法进行图像生成实验

IF 3.8 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Visual Informatics Pub Date : 2023-12-01 DOI:10.1016/j.visinf.2023.10.005
Jianheng Xiang
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引用次数: 0

摘要

由于计算机图形技术支持追求逼真的风格,因此具有逼真风格的复制艺术品在计算机生成艺术界占据了压倒性的优势。随着生成技术的发展,这种趋势可能会使生成艺术成为一个逼真的虚拟世界,在这个世界中,表达风格的单一标准使艺术陷入单一乏味的刻板印象。本文通过在StyleGAN中生成花卉图像的艺术实验,探讨了风格多样性问题及其技术可行性。作者坚持认为,摄影技术和艺术风格不应仅仅局限于现实目的。通过改变训练材料,在GAN生成实验中验证了这一命题。
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On generated artistic styles: Image generation experiments with GAN algorithms

As computer graphics technology supports pursuing a photorealistic style, replicated artworks with a photorealistic style overwhelmingly predominate in the computer-generated art circle. Along with the progression of generative technology, this trend may make generative art a virtual world of photorealistic fake, in which the single criterion of expressive style imperils art into the context of a single boring stereotype. This article focuses on the issue of style diversity and its technical feasibility by artistic experiments of generating flower images in StyleGAN. The author insisted that photo both technology and artistic style should not be confined merely for realistic purposes. This proposition was validated in the GAN generation experiment by changing the training materials.

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来源期刊
Visual Informatics
Visual Informatics Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
6.70
自引率
3.30%
发文量
33
审稿时长
79 days
期刊最新文献
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