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
🉐 Image Translator - Angular2
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
NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
Progressive training of StarGAN along with consistency loss term
pytorch, pix2pix, CycleGAN, DiscoGAN, BicycleGAN, UNIT, MUNIT, pix2pixHD, vid2vid
Conditional GAN for pix2pix dataset
A clean and lucid implementation of cycleGAN using PyTorch
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