Search Results for author: Ryosuke Furuta

Found 4 papers, 3 papers with code

Painting Style-Aware Manga Colorization Based on Generative Adversarial Networks

no code implementations16 Jul 2021 Yugo Shimizu, Ryosuke Furuta, Delong Ouyang, Yukinobu Taniguchi, Ryota Hinami, Shonosuke Ishiwatari

To realize consistent colorization, we propose here a semi-automatic colorization method based on generative adversarial networks (GAN); the method learns the painting style of a specific comic from small amount of training data.

Colorization

Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing

1 code implementation10 Nov 2018 Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki

This paper tackles a new problem setting: reinforcement learning with pixel-wise rewards (pixelRL) for image processing.

Image Denoising Image Restoration +1

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