Cat Generation with generative adversarial networks
This cat has been generated with a generative adversarial network (gan). We add a simple tool for replacing the generative model by a better one, using automatic quality assessment.
The original GAN is based on StyleGan2 and we use data from thiscatdoesnotexist.com, thishorsedoesnotexist.com and thisartworkdoesnotexist.com.
Authors: Baptiste Roziere, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jeremy Rapin, Mariia Zameshina, Olivier Teytaud.
Institutions :
- Facebook AI Research
- Univ. Littoral Cote d’Opale
- Univ. Konstanz, Germany
- Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG, Franc
The paper is online here.
@InProceedings{Roziere_2020_ACCV,
author = {Roziere, Baptiste and Teytaud, Fabien and Hosu, Vlad and Lin, Hanhe and Rapin, Jeremy and Zameshina, Mariia and Teytaud, Olivier},
title = {EvolGAN: Evolutionary Generative Adversarial Networks},
booktitle = {Proceedings of the Asian Conference on Computer Vision (ACCV)},
month = {November},
year = {2020}
}
Other examples of image generation with gan
We can generate other fun images, like horses or art pictures: