Sketch Extraction

Sketch extraction research focuses on automatically generating sketches from images, aiming to replicate artistic styles and capture essential visual information. Current efforts concentrate on improving sketch quality and style control using generative models, particularly those based on diffusion processes and variational autoencoders, often incorporating techniques like contrastive learning and attention mechanisms to enhance performance with limited training data. This field is significant for its applications in image editing, synthesis, and human-computer interaction, offering new avenues for creative expression and efficient visual communication.