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Improved Techniques for Training GANs for cifar10 dataset

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ImproveGan-pytorch

Improved Techniques for Training GANs for cifar10 dataset
This is an implementation of Semi-supervised generative adversarial network in the paper Improved Techniques for Training GANs for cifar10 dataset.

Related

Origin paper:https://arxiv.org/abs/1606.03498
Official Implementation(Theano):https://github.com/openai/improved-gan

Requirement

python3.5
pytorch 1.1.0
cuda8.0
torchvision

Run

python3 train.py
Default Set:config.py

Result

Test best acc:79.64% .Achieve the accuracy of the original paper.

loss curve

Train process of Gen img

image

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Improved Techniques for Training GANs for cifar10 dataset

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