Human Drawing

Research on human drawing is exploring how to computationally analyze and generate drawings, focusing on applications like cognitive assessment and artistic creation. Current efforts leverage deep learning models, particularly convolutional neural networks and diffusion models, to automatically score drawings for diagnostic purposes and to generate realistic or stylized images from sketches. This work is significant for advancing both our understanding of human cognition through objective drawing analysis and for pushing the boundaries of artificial intelligence in creative domains, with implications for healthcare and digital art.