Portrait Drawing

Portrait drawing research focuses on automatically generating realistic and expressive portrait sketches and animations from photographs or other inputs, aiming to replicate artistic styles and control levels of abstraction. Current approaches leverage various deep learning architectures, including GANs, diffusion models, and graph neural networks, often incorporating attention mechanisms and novel loss functions to improve detail, style transfer, and multi-view consistency. This research contributes to both the understanding of artistic processes and the development of novel AI-driven tools for creative applications, potentially impacting fields like digital art, animation, and personalized avatar creation.