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LAG-Pytorch

Unofficial Pytorch Implementation for the paper: "Creating High Resolution Images with a Latent Adversarial Generator" by David Berthelot, Peyman Milanfar, and Ian Goodfellow.

The official tensorflow implementation was used as reference https://github.com/google-research/lag/

I've deviated in some places from the paper. Most notably I do not use the progressive training strategy.

Training a Model

To start training run the below command
python train.py --model_name_prefix test_run --root_path /path_to_data --batch_size 8 --upsample_layers 3

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pytorch code for "Creating High Resolution Images with a Latent Adversarial Generator"

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