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.