This is the Windows app named AnimeGAN whose latest release can be downloaded as animefaceimagesandmetadata.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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AnimeGAN
DESCRIPTION
A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing. The images are generated from a DCGAN model trained on 143,000 anime character faces for 100 epochs. Manipulating latent codes enables the transition from images in the first row to the last row. The images are not clean, some outliers can be observed, which degrades the quality of the generated images. Anime-style images of 126 tags are collected from danbooru.donmai.us using the crawler tool gallery-dl. The images are then processed by an anime face detector python-anime face. The resulting dataset contains ~143,000 anime faces. Note that some of the tags may no longer be meaningful after cropping, i.e. the cropped face images under the 'uniform' tag may not contain visible parts of uniforms.
Features
- Randomly generated images
- anime-faces Dataset
- Requires gallery-dl, python-animeface
- Extract faces from the downloaded images
- Download anime-style images
- PyTorch Implementation of Generative Adversarial Networks
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/animegan.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
