FreezeD: A Simple Baseline for Fine-tuning GANs

Code for "Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs".

The code is heavily based on the StyleGAN-pytorch and SNGAN-projection-chainer codes.

See stylegan and projection directory for StyleGAN and SNGAN-projection experiments, respectively.

Note: There is a bug in PyTorch 1.4.0, hence one should use torch>=1.5.0 or torch<=1.3.0. See Issue #1.

Generated samples

Generated samples over fine-tuning FFHQ-pretrained StyleGAN

 

More generated samples (StyleGAN)

Generated samples under Animal Face and Anime Face datasets

   

   

   

   

   

   

   

   

   

   

More generated samples (SNGAN-projection)

Comparison of fine-tuning (left) and freeze D (right) under Oxford Flower, CUB-200-2011, and Caltech-256 datasets

Freeze D generates more class-consistent results (see row 2, 8 of Oxford Flower)