Framework of GAN Inversion
- You can implement your own inversion idea using our repo. We offer a full range of tuning settings (in hparams.py), some excellent backbones and classics loss functions. You can modify the arch of network or loss easily.
- 2021.9.1 The simplfied framework of GAN Inversion is released.
- pip install git+git://github.com/lehduong/torch-warmup-lr.git
- GradualStyleEncoder from restyle-encoder and pixel2style2pixel
- ResNetGradualStyleEncoder from restyle-encoder and pixel2style2pixel
- ID loss from restyle-encoder and pixel2style2pixel
- Moco loss from restyle-encoder and pixel2style2pixel
- More Backbones
This repository is an unoffical PyTorch Framework of GAN Inversion and highly based on restyle-encoder, pixel2style2pixel, stylegan2-pytorch, AliProducts and stylegan2.Thank you for the above repo. Thank you to Daiheng Gao and Jie Zhang for all the help I received.