cyclegan-pytorch
There are 36 repositories under cyclegan-pytorch topic.
davidiommi/3D-CycleGan-Pytorch-MedImaging
Pytorch pipeline for 3D image domain translation using Cycle-Generative-Adversarial-networks, without paired examples.
arnab39/cycleGAN-PyTorch
A clean and lucid implementation of cycleGAN using PyTorch
RahulBhalley/cyclegan-qp
Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"
voidism/Transformer_CycleGAN_Text_Style_Transfer-pytorch
Implementation of CycleGAN for Text style transfer with PyTorch.
jcatanza/Fastai-Deep-Learning-From-the-Foundations-TWiML-Study-Group
Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ipynb ), slide decks from weekly Zoom meetups, etc.
Charmve/SNE-RoadSeg2
🌱 SNE-RoadSeg in PyTorch, ECCV 2020 by Rui (Ranger) Fan & Hengli Wang, but now we have improved it.
AntoninDuval/CycleGAN
CycleGAN for CT scan and MRI.
4m4n5/saasn-stain-normalization
Pytorch implementation of Self Attentive Adversarial Stain Normalization (SAASN).
fidansamet/GANiry
Bald-to-Hairy Translation Using CycleGAN
jzsherlock4869/cyclegan-pytorch
An easy-to-modify and easy-to-follow re-implementation of CycleGAN (cycle-consistent generative adversarial network) in PyTorch
anhtuan85/GAN_series
PyTorch implementations of Generative Adversarial Network series
dhassault/cyclegan_pytorch
Implement of CycleGAN using pytorch 1.8.
sm823zw/Melanoma-Image-Augmentation-and-classification
This repository deals with generating 'malign' synthetic samples from 'benign' samples using CycleGAN to mitigate class imbalance and detecting Melanoma using a new balanced skin lesion image dataset.
amyllykoski/CycleGAN
A CycleGAN (generative adversarial network) to try out image generation from synthetic data.
AquibPy/Cycle-GAN
This is a PyTorch implementation of Cycle GAN from Scratch.
DBO-DKFZ/multistain_cyclegan_normalization
Implementation of MultiStain-CycleGAN
Einstellung/DeepLearningApplication
搜集整理加工深度学习应用项目，并尽可能提供视频讲解
JohanYe/CycleGAN-Pokemon
Using CycleGAN to swap Pokemon types
Mayurji/CycleGAN-Pytorch
Basic overview of CycleGAN and its Implementation using Pytorch
mokleit/sim2real-cycleGAN
We train a CycleGAN model that will generate "realistic" augmented images based on images coming from the Duckietown simulator. This is in an attempt to reducing the reality gap when transitioning from robot training in simulation to real life.
morawi/ClothExtract
Segmentation of fashion articles from human images
dragonHyeon/pytorch-basic-model-implementation
Implemented basic deep learning models using PyTorch
mayo889/Telegram_Bot_NST_GAN
Telegram Bot на aiogram, преобразующий входящие фотографии с помощью Style Transfer или CycleGAN
DYZhang09/CycleGAN
CycleGAN Implementation
jayzhan211/CycleGAN-pytorch
a pytorch code for CycleGAN
sofiadutta/CycleGAN-PyTorch
Unpaired Image to Image translation using PyTorch
yXiangXiong/DisGAN
VerDisGAN and HorDisGAN which control the variation degrees for generated samples
adwaitgondhalekar/img2img-translation-with-style-loss
Image translation model using CycleGAN architecture coupled with perceptual style loss
bear96/cyclegan-vangogh
CycleGAN implementation in PyTorch
GraceSevillano/Advanced-Image-Analysis-Assignments
Solutions for Advanced Image Analysis course assignments, featuring model designs for image summation and generation with MNIST, and style transfer using CycleGAN with MNIST and SVHN datasets.
JaideepBedarkar/Gans
Reimplementation of papers on DCGAN and CycleGAN.
mdsalem17/ai-notebooks
Scientific Guide AI notebooks is a collection of machine learning and deep learning notebooks prepared by Salem Messoud.
Ojasva-Goyal/CycleGAN-based-Image-Dehazing
This project implements a CycleGAN-based method for image dehazing on a paired dataset containing hazy images and their corresponding ground truth clear images.
Pavan-pk/RealismArtGan
ArtGan for transferring real Images to realism art style.
pia/CycleGAN
Pytorch implementation of CycleGAN
Digitaljay/image_generating_nets_for_fun
CycleGAN and TwoStylesTransfer realizations