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
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