/stylegan2-encoder-pytorch

StyleGAN2 Implementation of In-Domain GAN Inversion

Primary LanguageJupyter NotebookMIT LicenseMIT

In-Domain GAN Inversion for Real Image Editing

Based on Seonghyeon Kim's Pytorch Implementation of StyleGAN2

[Paper] [Official Code] [StyleGAN2 Pytorch]

Train Encoder

python train_encoder.py

0k iter

1M iter

[encoder checkpoint] [generator checkpoint]

Note: The encoder architecture and loss weights are different from the original implemetation.

Interpolation

interpolate.ipynb

Domain-Guided Encoder (Initial projection)

In-Domain Inversion (500 steps)

Inperpolation Result

Encoder + Model Interpolation

[Paper] [Naver Webtoon Model]