This project implements Semantic Style Transfer using neural patch matching to borrow artistic skills from reference images. Users provide a style image with annotations and a target doodle, and the algorithm extracts and transfers annotated patches from style to target based on patch similarity. The implementation is based on Neural Patches (Li, 2016) and supports multiple input configurations for various style transfer tasks.