Chainer implementation for Image-to-Image Translation Using Conditional Adversarial Networks
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Updated
Mar 22, 2017 - Python
Chainer implementation for Image-to-Image Translation Using Conditional Adversarial Networks
Tensorflow implementation of pix2pix for various datasets.
PyTorch implementation of Image-to-Image Translation with Conditional Adversarial Nets (pix2pix)
Pytorch implementation of CycleGAN.
PyTorch implementation of CycleGAN
The PyTorch code of CycleGAN, Gender-to-Gender Image Translation (2017)
Tensorflow implementation of the NIPS paper "Toward Multimodal Image-to-Image Translation"
Implementation of the paper : "Toward Multimodal Image-to-Image Translation"
A minimal tensorflow implementation of pix2pix (Image-to-Image Translation with Conditional Adversarial Nets - https://phillipi.github.io/pix2pix/).
Pytorch implementation of StarGAN
Tensorflow implementation of CycleGAN.
Unofficial chainer implementation of 'Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks' [Zhu+, ICCV2017]
Concise implementation of image-to-image translation.
Pytorch implementation of BicycleGAN with implementation details
Progressive training of StarGAN along with consistency loss term
Conditional GAN for pix2pix dataset
A clean and lucid implementation of cycleGAN using PyTorch
please smile
Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf
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