Analysis of Sketch RNN for Sketch Auto Generation

Abstract

We present an sketch generation system composed of Sketch RNN, Google released. It is a recurrent neural network (RNN) constructed stroke-based drawings. Our system is different from traditional way, it is based on serial strokes which human draws. The diference makes output image much smoother and more natural. We introduce Sketch RNN into a tool of sketch generation. This paper focuses on two points. The rst, we check that sketch production with Sketch RNN makes output image similar to input one. The second, we confirm that all the latent vector given by Sketch RNN make a sketch compiled soft strokes. Through these condideration, we explore new sketch generation system.