A Tensorflow implementation of AnimeGAN for fast photo animation ! This is the Open source of the paper 「AnimeGAN: a novel lightweight GAN for photo animation」, which uses the GAN framwork to transform real-world photos into anime images.
Great work! Your project is really interesting, so I decided to implement the algorithm in Pytorch based on your Tensorflow code.
I tried to make the architecture of G and D to be the same as yours, and train on the same config (loss weights) but the result is a little bit different. So I tuned the loss weights to get the best result.
Currently, my results look like anime, but some generation images still have some artifacts. Maybe I will need to train longer.
Could you add this implementation into your README.md, I think It helps other people when looking for a Pytorch version :smile:
Hi @TachibanaYoshino,
Great work! Your project is really interesting, so I decided to implement the algorithm in Pytorch based on your Tensorflow code.
I tried to make the architecture of G and D to be the same as yours, and train on the same config (
loss weights
) but the result is a little bit different. So I tuned theloss weights
to get the best result.Currently, my results look like
anime
, but some generation images still have some artifacts. Maybe I will need to train longer.Could you add this implementation into your README.md, I think It helps other people when looking for a Pytorch version :smile:
thank you very much.
my repo: https://github.com/ptran1203/pytorch-animeGAN
Some of my results: