JSAI2019

Presentation information

Organized Session

Organized Session » [OS] OS-22

[3L4-OS-22b] 創作者と人工知能が創る創作の未来(2)

Thu. Jun 6, 2019 3:50 PM - 5:30 PM Room L (203+204 Small meeting rooms)

上野 未貴(豊橋技術科学大学)、森 直樹(大阪府立大学)

4:50 PM - 5:10 PM

[3L4-OS-22b-04] Tone Pasting Using cGANs with Tone Feature Loss

〇Koki Tsubota1, Kiyoharu Aizawa1 (1. The University of Tokyo)

Keywords:Tone Pasting, conditional generative adversarial networks, Image Processing, Manga

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 L1 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.