Neural Doodle is an open-source project that transforms simple doodles into detailed artworks by leveraging deep neural networks. It utilizes semantic style transfer to apply the artistic style of a reference image to a target sketch, enabling the creation of seamless textures, style transfers, and example-based upscaling. The system operates by matching annotated patches from the style image to the target image, facilitating intricate and context-aware artistic renderings.
Key Features
Semantic style transfer using annotated masks
Generation of seamless textures from photographs
Application of artistic styles to sketches and doodles