Implementation of GAN models in PyTorch.
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# GAN-zoo
<img src=”./notebooks/snapshots/cover-image.png” width=”500”/>
A collection of GAN models implemented in PyTorch:
Basic GAN on MNIST [code](https://github.com/vmirly/PyTorch-GAN-zoo/tree/master/basic_gan)
Conditional GAN on MNIST [code](https://github.com/vmirly/PyTorch-GAN-zoo/tree/master/cond_gan)
Pix2Pix on FACADES dataset [code](https://github.com/vmirly/PyTorch-GAN-zoo/tree/master/pix2pix)
## References - part 1
GAN [arxiv](https://arxiv.org/abs/1406.2661)
Wasserstein GAN [arxiv](https://arxiv.org/abs/1701.07875)
DCGAN [arxiv](https://arxiv.org/abs/1511.06434)
Conditional GANs [arxiv](https://arxiv.org/abs/1411.1784)
LSGAN [arxiv](https://arxiv.org/abs/1611.04076)
SAGAN [arxiv](https://arxiv.org/abs/1805.08318)
Pix2Pix [arxiv](https://arxiv.org/abs/1611.07004)
Pix2Pix-HD [arxiv](https://arxiv.org/abs/1711.11585) [PyTorch imp.](https://github.com/NVIDIA/pix2pixHD)
CycleGAN [arxiv](https://arxiv.org/abs/1703.10593) [code](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix)
StarGAN [arxiv](https://arxiv.org/abs/1711.09020) [PyTorch imp.](https://github.com/yunjey/stargan)
Geometric GAN [arxiv](https://arxiv.org/abs/1705.02894)
InfoGAN [arxiv](https://arxiv.org/abs/1606.03657)
BigGAN [arxiv](https://arxiv.org/abs/1809.11096)
ConSinGAN [arxiv](https://arxiv.org/abs/2003.11512) [code](https://github.com/tohinz/ConSinGAN)
OT-GAN [arxiv](https://arxiv.org/abs/1803.05573)
## References - part 2
Improved Techniques for Training GANs [arxiv](https://arxiv.org/abs/1606.03498)
On Convergence and Stability of GANs [arxiv](https://arxiv.org/abs/1705.07215)
Which Training Methods for GANs do actually Converge? [arxiv](https://arxiv.org/abs/1801.04406)
Is generator conditioning causally related to GAN performance? [arxiv](https://arxiv.org/abs/1802.08768)
The unusual effectiveness of averaging in gan training [arxiv](https://arxiv.org/abs/1806.04498)
cGANs with projection discriminator [arxiv](https://arxiv.org/abs/1802.05637)
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