GANs for digital art in entertainment: techniques, applications, and aesthetic evaluation
Zhang Xiaoyan · 2026
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Description
A peer-reviewed research article from Europe PMC (2026). Artificial Intelligence has revolutionized digital entertainment, such as generating highly realistic and creative visual content, and Generative Adversarial Networks (GANs) have proven to be a pivotal technology in the synthesis and generation of images for artistic purposes. The aim of this review is to conduct a thorough and systematic study of the GAN-based digital art systems, their architectures, applications and evaluation approaches, with the objective of understanding their role in the context of contemporary creative AI research.
Catalog record
| CREATOR | Zhang Xiaoyan |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 106 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |