Artistic Painting

Artistic painting is being investigated through computational methods to understand its aesthetic qualities, creation processes, and historical context. Current research focuses on developing and applying AI models, including diffusion models, large language models, and convolutional neural networks, for tasks such as style transfer, image generation from text descriptions, and automated analysis of painting attributes. These advancements are enriching art history research, improving accessibility for visually impaired individuals, and offering new tools for art restoration and creation. The resulting datasets and algorithms are also contributing to broader fields like computer vision and image processing.