Digital Art

Digital art research currently focuses on leveraging artificial intelligence, particularly generative adversarial networks (GANs) and diffusion models, to create and manipulate visual content. Key areas of investigation include developing tools for artists to control the generation process, mitigating ethical concerns around style mimicry and copyright, and exploring the use of AI for analyzing and understanding existing art historical datasets. This research is significant for its potential to democratize art creation, enhance artistic expression, and provide new methods for art historical analysis and preservation.