Partial Sketch

Partial sketch research focuses on improving image generation and retrieval systems using incomplete or partially drawn sketches as input. Current efforts concentrate on developing robust algorithms, often employing neural networks like ControlNets and transformers, to handle the ambiguity inherent in partial sketches and generate high-fidelity images or retrieve relevant images from incomplete visual cues. This field is significant because it addresses the limitations of requiring complete sketches for various applications, including art creation assistance, face recognition, and 3D modeling, enabling more intuitive and efficient human-computer interaction in these domains.