kimhc6028 / Acgan Pytorch
Licence: bsd-3-clause
Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs
Stars: ✭ 57
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python
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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.
Generated MNIST samples after 15 epoches.
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