[D] What is the smallest dataset you styleGAN2 trained?

• ContraD

  1 189 0.0 Python

  Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)

Well, I've been trying to train a 1024 GAN from scratch on stylegan2-ada-pytorch with a small dataset 300 samples of not so diversity in images of painting faces. Fact is that on first try FID went as low as 71 and started deteriorating. Now I x-flip augmented the dataset (700 images) and at 900kimg FID went 64 but I doubt it will get lower. I lowered the learning rate to 0.0001 as they say it might help... Recently found this way of dataset augmentation... probably will use this https://github.com/jh-jeong/ContraD

• stylegan2-ada-pytorch

  30 3,910 2.3 Python

  StyleGAN2-ADA - Official PyTorch implementation

  

Authors of the StyleGAN2-ada already try many things in this paper, I suggest you check it out: https://arxiv.org/abs/2006.06676. You can just check sections 4.2 and 4.3.

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