ARTIFICIAL INTELLIGENCE AND ART
THE CONCEPTUAL MODEL OF GENERATIVE ADVERSARIAL NETWORKS IN THE CREATIVE PROCESS OF ART FOR DIGITAL GAMES
DOI:
https://doi.org/10.14244/2179-1465.RG.2024v15i1p115-138Keywords:
Artificial intelligence, digital games, artAbstract
The interaction between artificial intelligence (AI) and art has emerged as a promising field within the contemporary creative process. In this article, we explored how the generative adversarial networks (GAN) model could assist in the creation of two-dimensional (2D) assets for digital game artists. To achieve this aim, we conducted a review of the literature and a case study with 2D assets from the Axie Infinity game. Through the research, it was discovered that the model synthesized new images that aligned with the characteristics and features similar to the dataset used in the model's training. This suggests that GANs can be employed to inspire new assets, produce novel images, and be directly integrated into digital games.
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