PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)
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Updated
May 27, 2017 - Python
PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)
Generative Adversarial Networks (GANs) for 3D MRI images [for deepBrainHackMTL-2017]
AI-enabled Interior decoration, powered by CycleGANs. Built for @NextTechLabAP's #9Hacks!
Image-to-image translation in PyTorch with three models
Developing an image editing application to edit images to have a desired attribute using Generative Adversarial Networks(DCGAN and CycleGAN) (https://tandon-a.github.io/Image-Editing-using-GAN/)
CycleGAN with PyTorch
A delira-compatible cycle-GAN skeleton.
Reproducing PARALLEL-DATA-FREE VOICE CONVERSION USING CYCLE-CONSISTENT ADVERSARIAL NETWORKS (https://arxiv.org/pdf/1711.11293.pdf)
A tensorflow2 implementation of CycleGAN.
Object Detection in Twilight
Image to image translation using CycleGAN for transforming photographs into Monet style paintings
This is a PyTorch implementation of Cycle GAN from Scratch.
A novel data augmentation method based on Cycle-GAN, and a new offline handwritten signature verification system based on CapsNet.
This repository contains an implementation of the Cylce-GAN architecture for style transfer along with instructions to train on an own dataset.
Attention based Single Image Dehazing Using Improved CycleGAN
This repository is about different types of GANs in pytorch, their proper settings and training results
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