cyclegan-pytorch

Pytorch pipeline for 3D image domain translation using Cycle-Generative-Adversarial-networks, without paired examples.

A clean and lucid implementation of cycleGAN using PyTorch

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

Implementation of CycleGAN for Text style transfer with PyTorch.

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.

🌱 SNE-RoadSeg in PyTorch, ECCV 2020 by Rui (Ranger) Fan & Hengli Wang, but now we have improved it.

CycleGAN for CT scan and MRI.

Pytorch implementation of Self Attentive Adversarial Stain Normalization (SAASN).

Bald-to-Hairy Translation Using CycleGAN

An easy-to-modify and easy-to-follow re-implementation of CycleGAN (cycle-consistent generative adversarial network) in PyTorch

PyTorch implementations of Generative Adversarial Network series

Implementation of MultiStain-CycleGAN

Implement of CycleGAN using pytorch 1.8.

A CycleGAN (generative adversarial network) to try out image generation from synthetic data.

This is a PyTorch implementation of Cycle GAN from Scratch.

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.

搜集整理加工深度学习应用项目，并尽可能提供视频讲解

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.

Using CycleGAN to swap Pokemon types

Basic overview of CycleGAN and its Implementation using Pytorch