Grey Coloured Anime Character

Abstract

This paper attempts in discovering the scope
of creating animated characters. Animation offers the
individual the ability to adapt to the lifestyle of a
person without automobile technology and expertise.
After Generative Adversarial Network (GAN) got
introduced, it then led to various studies related to the
automatic era of facial images. There exists a couple of
possibilities to apply the GAN model to the trouble to
generate face shots of anime, but neither of the present
artworks gives a favourable outcome. The work tries
to investigate the preparing of GAN styles specific on
anime facial picture dataset. It includes statistical and
model aspects of the problems, by assembling cleaner
and more well-suited dataset.
To overcome the problem of resulting in low quality
outputs, it is best to provide dataset having high
resolution, applying a machine learning model. The
use of high-resolution quality dataset may produce
accurate results.