Painting Process

Research on the painting process focuses on computationally recreating and understanding the artistic process, aiming to generate realistic and stylistically varied paintings. Current approaches leverage diffusion models, often incorporating multi-modal inputs like text and image prompts, to guide the iterative generation of brushstrokes or image regions, with some methods employing segmentation and attention mechanisms for improved control and efficiency. This research contributes to both artistic creation tools and a deeper understanding of the cognitive processes involved in painting, potentially impacting art education and digital art creation.