Efficient Generation of Multiple Sketch Styles Using a Single Network

In the real world, different artists draw sketches of the same person with different artistic styles both in texture and shape. Our goal is to synthesize realistic face sketches of different styles while retaining the input face identity, only using a single network. To achieve this, we employ a modified conditional GAN with a target style label as input. Our method is capable of synthesizing multiple sketch styles even though it is based on a single network. Sketches created by our method show sketch quality comparable to the state-of-the-art sketch synthesis methods that use multiple networks.