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Born in 1929 in Osaka, Japan, Osamu Tezuka is known in Japan
and around the world as the Father of Manga. He's also known
as one of the world's greatest illustrators, akin to Walt Disney,
from his legendary comics that include Astro Boy, Princess Knight,
Kimba the White Lion, and many more.
Tezuka died in 1989. To keep his legacy alive, a team of researchers,
and artists from Kioxia Coporation, a Japanese memory manufacturer,
in collaboration with artist from Tezuka Production and academic partners,
used deep learning to create the world's first AI-designed manga,
reflecting Tezuka's works.
The new manga, PHAEDO, is released in the weekly comic magazine, Morning.
To generate the new characters and stories featured in the manga, the
team used Nvidia StyleGan to help with the character generation phase
by analyzing hundred of works by Tezuka, including Phoeniix, Black Jack,
and Astro Boy. The God of Manga, Osamu Tezuka, taught us the joy of
depicting dreams through technology. At the same time, he insisted that
science should not leave humanity behind. In 2020, we now live in a
world that Osamu Tezuka imagined.

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The company worked in tandem with academic partners, including
Satoshi Kurihara, professor at Keio University. "In order to have AI
learn the characteristics of Osamu Tezuka, we used manpower and AI that
specializes in image recognition to convert the parts of characters' faces
into data and analyze the development of various scenarios. With AI learning
the characteristics of Osamu Tezuka through this data, we generated
characters and storylines that have Tezuka's characteristics," Kurihara stated.
At the core of the character generation phase is NVIDIA's StyleGan a generative
adversarial netwrok developed by NVIDIA researchers. To build a training
dataset to use with StyleGan, Professor Kazushi Mukaiyama
from Future Univeristy Hakodate enlisted students' help. Together,
they compiled a dataset of over 10,000 facial images from Tezuka's
work that could be used to train the model.
150,000 pages of manuscipt data from Osamu Tezuka were prepared for the AI to
learn what "Tezuka-like" characters are. These were passed through
the recognition software at Future University Hakodate, and were
classified as "frames," "speech balloons," "faces,"
and "bodies." To improve the quality of the images generated by
AI, the staff repeated a process of trial and error until the
ideal images were generated. For example: flipping, doubling the number
of images, loading only female characters, and so on.

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Training and inference were done using multiple NVIDIA V100 GPUs,
and the cuDNN accelerated TensorFlow deep learning framework which
StyleGan is written in. In the first phase, StyleGAN generated the
faces in a single process. "For this reason, the team attempted to
generate more complete images, in which fine details like the
eyes, nose, and mouth are gradually generated from rough depictions,
such as contours," the researchers said.
Ultimately, the team used transfer learning to incorporate thousands
of data points to enable the Tezuka-like characters without fail.
"By combining different individual features of the characters, we
found that characters with unprecedented characteristics could be
created. This mechanism relies on creating a number of variations
by gradually changing the ratio of the two characters that are mixed,"
the researched showed.
Toshihiro Miura, the Editor-in-Chief of Morning, the publication in
which the final product appears, said that he first declined the project
after learning how much human intervention was involved. He said that
he changed his mind later after talking to professor Kurihara and
seeing that the work reaffirms the work of human artists
and how 'incredible' they are.
SOURCE:news.developer.nvidia.com/osamu-tezuka-ai-supporterd-manga/

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