Exploring Generative Models in Abstract Digital Painting Techniques

This project investigates how generative models interpret brush layers in contemporary digital painting. By analyzing brush data, we aim to simulate plausible stacking sequences, comparing model configurations and prompt styles to evaluate the internal representations formed for visual layers in abstract art.