This work proposes a complete methodology to colorize images of Fakemon, anime-style monster-like creatures. In addition, we propose algorithms to extract the line art from colorized images as well as to extract color hints. Our work is the first in the literature to use automatic color hint extraction, to train the networks specifically with anime-styled creatures and to combine the Pix2Pix and CycleGAN approaches, two different generative adversarial networks that create a single final result. Visual results of the colorizations are feasible but there is still room for improvement.

翻译：本文提出了一套完整的幻兽（Fakemon，一种动漫风格的怪物类生物）图像彩色化方法。我们同时提出了从彩色图像中提取线稿及色彩提示的算法。本研究首次在文献中采用自动色彩提示提取技术，专门使用动漫风格生物数据训练网络，并融合了Pix2Pix与CycleGAN两种不同生成对抗网络的技术路线以生成统一最终结果。色彩化视觉效果具有可行性，但仍存在改进空间。