Presentation information

Oral presentation

General Session » [General Session] 10. Vision / Speech

[4M2] [General Session] 10. Vision / Speech

Fri. Jun 8, 2018 2:00 PM - 3:40 PM Room M (2F Amethyst Hall Hoo)

座長:山崎 達也(新潟大学)

2:00 PM - 2:20 PM

[4M2-01] Analysis of Sketch RNN for Sketch Auto Generation

〇Ryosuke Fujii1 (1. Osaka Prefecture University)

Keywords:sketch RNN, sketch generation, deep learning

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.