Host: The Japanese Society for Artificial Intelligence
Name : The 33rd Annual Conference of the Japanese Society for Artificial Intelligence, 2019
Number : 33
Location : [in Japanese]
Date : June 04, 2019 - June 07, 2019
Tone pasting is one of the processes of manga creation and there is a demand for automatic tone pasting. In this study, we tackle a task of automatic tone pasting of manga characters. Tone pasting is difficult because tones have characteristic patterns. It is hard to learn tone patterns for usual conditional generative adversarial networks (cGANs) which are combined with L<sub>1</sub> loss or perceptual loss. To train pasting tones in a tone pattern aware manner, we introduce tone feature loss to cGANs. Tone feature loss is the distance between tone features of target images and those of generated images. We performed experiments on two characters in Manga109 and showed our results are equal to or more visually appealing than those by a baseline method.
