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Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs
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README.md

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs.

Requirements

Usage

$ ./run.sh

or

$ python main.py --dataset mnist --dataroot data --outf output --cuda                                                                           

will start training gpu with GPU. Datasets will be downloaded to /data, and generated images are stored in output directory.

Alt text

Generated MNIST samples after 15 epoches.

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