“An Interactive Brush Stroke Synthesis Using Exemplar Images”

This paper describes an interactive technique for generating brush strokes used in exemplar images. The proposed method decomposes several exemplar images of brush strokes into small fragments that are stitched together through one-dimensional texture synthesis in order to generate the final brush stroke silhouettes. In contrast to previous methods in which the strokes are generated by per-pixel computation or using physically based simulation, our method is not only less computationally expensive but also capable of simulating various kinds of brushes. In addition, we introduce a fluid-dynamics-driven post-process and a Kubelka-Munk synthesis method to make the paint strokes appear more real. Our evaluation experiments show that our method can handle various media such as oil paints, watercolors, charcoal, and pastels. We also obtained interesting results with lipsticks and fingers.