There are 6 repositories under cycle-gan topic.
DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络(GAN,Generative Adversarial Network)图像生成的理论与实践研究。
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)
A deep learning model to age faces in the wild, currently runs at 60+ fps on GPUs
Voice Conversion using Cycle GAN's For Non-Parallel Data
PyTorch implementation of the paper "Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval", CVPR 2019.
Hands-On Deep Learning Algorithms with Python, By Packt
Translating Synthetic RIRs to Real RIRs
Pixel-level domain adaptation: A study case on generating parking-slot image samples.
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/)
Reproducing PARALLEL-DATA-FREE VOICE CONVERSION USING CYCLE-CONSISTENT ADVERSARIAL NETWORKS (https://arxiv.org/pdf/1711.11293.pdf)
writing style transfer using cycle gan
This repo contains various use-cases of deep-learning implemented in Pytorch. It also contains summarized notes of each chapter from the book, 'Deep Learning' written by Ian Goodfellow.
Attention based Single Image Dehazing Using Improved CycleGAN
Pytorch implementation of Self Attentive Adversarial Stain Normalization (SAASN).
AI-enabled Interior decoration, powered by CycleGANs. Built for @NextTechLabAP's #9Hacks!
This repository is about different types of GANs in pytorch, their proper settings and training results
An application which converts a given Image -> Sketch & Sketch -> Image using Cycle-GAN.
A novel data augmentation method based on Cycle-GAN, and a new offline handwritten signature verification system based on CapsNet.
Gender Change of faces implemented with CycleGAN (in Keras) for Deep Learning Course
This repository contains an implementation of the Cylce-GAN architecture for style transfer along with instructions to train on an own dataset.
Domain adaptation with cycle-gan
Converting night into day is one of the most interesting applications in generative models, due to the great difficulty in recreating the scene during the day, especially in cases of extreme darkness, and thus the difficulty lies in imagining the scene during the day when the lighting is very weak.
Extending StackGAN - Text to Image synthesis
Deep Learning Introduction
Model that generates Monet paintings from Images
This repository contains materials and course projects during attending the Intelligent Systems Course, for more detailed information please have a look at my Final_Report files which have been separately uploaded for each of the projects and consist of all required information about the implementations, analyses, and anything else you may concern about that!
use cycleGAN to finish the project which will change man's face to woman's face and the other way
A tensorflow2 implementation of CycleGAN.