Generative Adversarial Network (GAN) based art has proliferated in the past year, going from a shiny new tool to generate fake human faces to a stage where anyone can generate thousands of artistic images with minimal effort. Some of these images are now ``good'' enough to win accolades from qualified judges. In this paper, we explore how Generative Models have impacted artistry, not only from a qualitative point of view, but also from an angle of exploitation of artisans --both via plagiarism, where models are trained on their artwork without permission, and via profit shifting, where profits in the art market have shifted from art creators to model owners or to traders in the unregulated secondary crypto market. This confluence of factors risks completely detaching humans from the artistic process, devaluing the labor of artists and distorting the public perception of the value of art.
翻译:在过去一年里,基于基因的Adversarial网络(GAN)的艺术已经扩散,从一个闪亮的新工具产生假的人类面孔,到一个人们可以轻而易举地制作数千幅艺术图像的舞台,其中一些图像现在已经“好”足以赢得合格法官的赞美。在本文中,我们探讨创制模型如何不仅从质量的角度,而且从对手工艺品的剥削的角度 -- -- 无论是通过Plagiarism,即未经许可对模型进行艺术作品培训,还是通过利润转移,艺术市场的利润已经从艺术创作者转向模特主或不受管制的二级隐喻市场的交易商。这种因素的结合使人类完全脱离艺术过程,贬低艺术家的劳动价值,扭曲公众对艺术价值的认识。