animegan

We have hosted the application animegan in order to run this application in our online workstations with Wine or directly.

Quick description about animegan:

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: