This research explores StyleGAN's impact on ai-generated art and raises ethical considerations affecting creativity.
This paper explores the influence of StyleGAN on AI-generated art, focusing on its applications in AI painting and digital product design. Presented by Nvidia in 2018, StyleGAN marked a substantial advancement in generative adversarial networks (GANs), offering artists and developers unprecedented control over image generation. This paper investigates StyleGAN's design and capabilities, its impact on creativity, and the associated obstacles and real-world concerns. Referencing pertinent studies, the work aims to provide a comprehensive understanding of how StyleGAN is shaping the future of AI art and to examine potential directions for future research. This paper explores these inquiries by examining the equilibrium between machine-driven creativity and human intuition in the context of StyleGAN. The findings indicate that StyleGAN expands artistic possibilities through high-quality, customizable image generation, while raising important ethical and practical considerations for its integration into contemporary creative practices.
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Gao Liangqian (2025) studied this question.
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