Generation of Aesthetic Chinese Flower Painting by Stroke-Based Stylization

We propose a novel drawing tool for the easy generation of artistic strokes in the style of flower painting,which is the most representative one in Chinese paintings,through stylizing rough sketch lines over a photo image.While the existing style migration methods aim at processing the entire image,we depict that a stroke-based stylization framework better performs detailed style features and catches the user’s intent.The steps in our technique are first to correct user inaccurate strokes that mark candidates of style patterns on a painting and skeletal paths to be stylized over a photograph,then to select the optimal pattern for every skeletal stroke,and finally,to map the pattern onto skeletal stroke by shape calculation and texture synthesis.Our experiments prove that the paintings our technique helped to generate show close to the specified style and are aesthetically satisfied by normal users.This tool works well for touch devices and can be potentially applied to art education.