Multimodal computational modeling of EEG and artistic painting for exploring the stress-relief mechanism of urban green spaces

We conduct extensive experiments demonstrating that ArtCLIP achieves significant improvements in real-time artistic rendering tasks compared to baseline models. The results show enhanced adaptability to varying artistic styles and better alignment with descriptive prompts, offering a promising avenue for digital art creation. By enabling semantically driven and stylistically controllable painting generation, our approach contributes to a more interpretable and interactive form of AI-assisted creativity.