Sketch Synthesis

Sketch synthesis focuses on algorithmically generating realistic sketches from various inputs, such as photographs or text descriptions, aiming to replicate the artistic process and achieve high-quality, stylistically diverse outputs. Current research emphasizes improving model architectures, including generative adversarial networks (GANs) and diffusion models, to address challenges like data scarcity and the need for fine-grained control over style and detail, often incorporating techniques like graph representation learning and attention mechanisms. This field is significant for its potential applications in art, animation, forensics, and other areas requiring efficient and controllable image generation, as well as for advancing our understanding of visual representation and artistic processes.