PyTorch implementation of Conditional GAN
it‘s my CGAN and DCGAN code and results. And the performance is evaluated by Pytorch version of FID.
Train a model:
python cgan_mnist.py --save_path mnist_results--save_path should be given.
Test a model:
python cgan_mnist.py --save_path mnist_results --batch_size 1 If you want to compute FID, you need to set --batch_size 1.
| Datasets | FID |
|---|---|
| MNIST | 27.7237 |
| CIFAR-10 | 280.0052 |
| Datasets | FID |
|---|---|
| MNIST | 14.4887 |
| CIFAR-10 | 21.0302 |
| CelebA |
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