Hyeonwoo Kang

Collection of generative models in Pytorch version.

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Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

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Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

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Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

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Pytorch implementation of CartoonGAN (CVPR 2018)

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Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

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Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

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Pytorch implementation of pix2pix for various datasets.

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Pytorch implementation of "Few-Shot Unsupervised Image-to-Image Translation" (ICCV 2019)

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Simple experiment of Apex (A PyTorch Extension)

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