Image-to-image translation in PyTorch with three models
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Updated
May 9, 2018 - Python
Image-to-image translation in PyTorch with three models
A tensorflow2 implementation of CycleGAN.
CycleGAN with PyTorch
This is a PyTorch implementation of Cycle GAN from Scratch.
Cycle-Consistent Adversarial Networks (CycleGAN) using Tensorflow 2.0
This repository contains the code for the paper "Self-supervised Text Style Transfer using Cycle-Consistent Adversarial Networks".
A delira-compatible cycle-GAN skeleton.
Advanced Study of VAEs and GANs using a Colored MNIST Dataset.
A (clean) PyTorch implementation of CycleGAN on Horse2zebra dataset
Implementation of [Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks](https://arxiv.org/abs/1703.10593v6) with Tensorflow 2.x
Implementation of Cycle-consistent Generative Adversarial Networks for Image-to-Image Translation in Keras
🖼️ Our CycleGAN Implementation for Image-to-Image Translation project leverages PyTorch to seamlessly transform images between domains, all without paired examples. With a keen focus on innovation and effectiveness, we've explored CycleGAN's capabilities across various domains. Join us as we delve into the world of image translation technology! 🚀
This repository contains an implementation of the Cylce-GAN architecture for style transfer along with instructions to train on an own dataset.
Image to image translation using CycleGAN for transforming photographs into Monet style paintings
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