Effective Sketch

Effective sketch research focuses on bridging the gap between human-created sketches and digital representations, aiming to improve sketch-based interaction with computers and enhance various applications. Current research employs deep learning models, particularly diffusion models and transformers, often incorporating techniques like ControlNet for precise control and multi-modal learning to integrate sketches with text or other data types. This field is significant for advancing human-computer interaction, enabling intuitive content creation (e.g., 3D scene generation, image editing), and improving applications in areas like forensic science and video retrieval.