GAN and art: Facilitation of artistic production and expression based on artificial intelligence

Abstract

The advancement of Artificial Intelligence has resulted in the investigation of its applications in a variety of sectors. The creation and depiction of artistic images as a tool for demonstrating human creativity and intellect has been a significant focus of Artificial Intelligence (AI) content generation. This study discusses picture generation approaches and highlights image creation principles as well as numerous varieties of Generative Adversarial Network (GAN). GAN models for image creation can inspire designers and artists, generate images that assist people grasp historical elements by imitating old artistic styles and cultural forms, and generate images of humans. GAN models for image generation can help designers and artists inspire their creativity, produce images that help people understand historical features by mimicking classic artistic styles and cultural forms, and produce images of people that provide intuitive access to information for communication and learning purposes. The application of GAN models in the field of art production is becoming increasingly sophisticated, and many novel applications are yet to be described and popularised. The article summarises the applications of artworks generated by GAN models, for one it can be applied as a thinking aid in art design and the creation of stylised artworks, while GAN-generated images can also help people GAN-generated images can also help people understand history, culture and other related knowledge, making profound art forms more common and popular. The article also analyses the potential hazards of GAN model-generated art images that are related to the passion and creative rights of the creators.