Example-Based Caricature Generation with Exaggeration
In this paper, we present a system that automatically generates caricatures from input face images. From exam- ple caricatures drawn by an artist, our caricature system learns how an artist draws caricatures. In our approach, we decouple the process of caricature generation into two parts, i.e., shape exaggeration and texture style transfer- ring. The exaggeration of a caricature is accomplished by a prototype-based method that captures the artist's under- standing of what are distinctive features of a face and the exaggeration style. Such prototypes are learnt by analyzing the correlation between the image caricature pairs using partial least-squares (PLS). Experimental results demon- strate the effectiveness of our system.