Decision of Line Structure beyond Junctions Using U-Net-Based CNN for Line Drawing Rendering

Abstract

This paper introduces a U-Net-based neural network to determine line structure beyond junctions more accurately than the previous work [Guo et al. 2019]. In addition to the input of the previous work, we input 3D information to our neural network. We also propose a method to generate the training dataset automatically. The rendering results by the stylized line rendering [Uchida and Saito 2020] show that our neural network improves the streams of strokes.