What is AnimeGAN tool?
AnimeGAN is a deep learning-based image conversion tool designed to convert real-world images into anime-style images. It was developed by academics at the University of Science and Technology of China (USTC) to provide a fast, high-quality method to satisfy the desire of anime fans to make their favourite characters.

 

What does AnimeGAN do?
AnimeGAN uses the Generative Adversarial Network (GAN) algorithm from deep learning, which consists of two neural networks: a generator and a discriminator. The generator is responsible for generating fake images, while the discriminator is responsible for evaluating the authenticity of these images. The two networks are trained alternately to improve the effectiveness of the generator and ultimately produce high quality images.
The generator of AnimeGAN uses a technique called Conditional Instance Normalisation (CIN) which changes the style of the image without changing the content of the image. This technique gives the user the freedom to choose different styles and effects when converting an image, such as selecting different colours, line widths and textures for a more varied look.
In addition to converting real images, AnimeGAN can also convert hand-drawn images to make them look more like images from anime or manga. This feature allows artists to transform their hand-drawn works into more attractive anime-style images and can speed up the process of creating hand-drawn works.

 

How is AnimeGAN accessed?
Just click on the Open URL button above.