On generated artistic styles: Image generation experiments with GAN algorithms
Jianheng Xiang
Abstract
As computer graphics technology supports pursuing for photorealistic style, replicated artworks of 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, that the single criterion of expressive style imperil 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 purpose. This proposition was validated in the GAN generation experiment by changing the training materials.