Gluon implementation for fancy GAN models.
Title | Paper link | Code | Summary |
---|---|---|---|
Generative Adversarial Networks (GAN) | https://arxiv.org/abs/1406.2661 | TODO | TODO |
Deep Convolutional GAN (DCGAN) | https://arxiv.org/abs/1511.06434 | dcgan/ | TODO |
Wasserstein GAN (WGAN) | https://arxiv.org/abs/1701.07875 | wgan/ | TODO |
WGAN-GP | https://arxiv.org/abs/1704.00028 | TODO | TODO |
CycleGAN | https://arxiv.org/abs/1703.10593 | cyclegan/ | TODO |
Pix2Pix | https://arxiv.org/abs/1611.07004 | TODO | TODO |
Conditional GAN (CGAN) | https://arxiv.org/abs/1411.1784 | conditional-gan/ | TODO |
BEGAN | https://arxiv.org/abs/1703.10717 | TODO | TODO |
BicycleGAN | https://arxiv.org/abs/1711.11586 | TODO | TODO |
Boundary seeking GAN | https://arxiv.org/abs/1611.06430 | TODO | TODO |
Context Conditional GAN | https://arxiv.org/abs/1611.06430 | TODO | TODO |
Context Encoders: Feature Learning by Inpainting | https://arxiv.org/abs/1604.07379 | TODO | TODO |
Coupled Generative Adversarial Networks | https://arxiv.org/abs/1606.07536 | TODO | TODO |
DiscoGAN | https://arxiv.org/abs/1703.05192 | TODO | TODO |
DualGAN | https://arxiv.org/abs/1703.05192 | TODO | TODO |
Energy-based Generative Adversarial Network | https://arxiv.org/abs/1609.03126 | TODO | TODO |
InfoGAN | https://arxiv.org/abs/1606.03657 | TODO | TODO |
StarGAN | https://arxiv.org/abs/1711.09020 | TODO | TODO |
SRGAN | https://arxiv.org/abs/1609.04802 | TODO | TODO |