"Art is the lie that enables us to realize the truth." - Pablo Picasso. For centuries, humans have dedicated themselves to producing arts to convey their imagination. The advancement in technology and deep learning in particular, has caught the attention of many researchers trying to investigate whether art generation is possible by computers and algorithms. Using generative adversarial networks (GANs), applications such as synthesizing photorealistic human faces and creating captions automatically from images were realized. This survey takes a comprehensive look at the recent works using GANs for generating visual arts, music, and literary text. A performance comparison and description of the various GAN architecture are also presented. Finally, some of the key challenges in art generation using GANs are highlighted along with recommendations for future work.

翻译：“艺术是能让我们实现真理的谎言。” - Pablo Picasso。 几个世纪以来,人类致力于创作艺术以传达他们的想象力。 科技的进步,特别是深层次的学习,引起了许多研究人员的注意,他们试图调查计算机和算法是否能创造艺术。 最后,利用基因对抗网络(GANs ), 应用软件,例如综合人的照片现实面孔和自动从图像中制作字幕。本调查全面研究了最近利用GANs制作视觉艺术、音乐和文学文字的作品。还介绍了各种GAN结构的性能比较和描述。最后,利用GANs制作艺术的一些关键挑战与未来工作的建议一起得到了强调。