Face Sketch

Face sketch synthesis focuses on automatically generating realistic and stylized facial sketches from photographs, aiming to improve accuracy and efficiency in applications like forensic science and art. Current research emphasizes developing generative models, including diffusion models and generative adversarial networks (GANs), often incorporating techniques like semi-supervised learning and multi-stage optimization to address challenges such as limited training data and diverse artistic styles. These advancements are improving sketch-to-photo matching accuracy in forensic applications and enabling more sophisticated artistic expression through controllable sketch generation, impacting both computer vision and creative technologies.

Papers