There are 1 repository under cgan topic.
Collection of generative models in Tensorflow
Collection of generative models in Pytorch version.
Awesome Generative Adversarial Networks with tensorflow
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
cGAN-based Multi Organ Nuclei Segmentation
MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN
Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.
Pytorch implementation of pix2pix for various datasets.
Implementation of Conditional Generative Adversarial Networks in PyTorch
Simple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.
Generating Elevation Surface from a Single RGB Remotely Sensed Image Using Deep Learning
Channel Estimation for One-Bit Multiuser Massive MIMO Using Conditional GAN
Repository for implementation of generative models with Tensorflow 1.x
여러가지 유명한 신경망 모델들을 제공합니다. (DCGAN, VAE, Resnet 등등)
cGAN-based Manga Colorization Using a Single Training Image.
A Conditional Generative Adverserial Network (cGAN) was adapted for the task of source de-noising of noisy voice auditory images. The base architecture is adapted from Pix2Pix.
Procedural 3D Terrain Generation using Generative Adversarial Networks
This repository is as a research project in the field of super resolution. It uses RDN as the generator and spectral norm is used in discriminator.
The code for the NeurIPS 2021 paper "A Unified View of cGANs with and without Classifiers".
MXNet Implementation of DCGAN, Conditional GAN, pix2pix
GANs Implementations in Keras
An unofficial PyTorch implementation of SNGAN (ICLR 2018) and cGANs with projection discriminator (ICLR 2018)
From scratch, simple and easy-to-understand Pytorch implementation of variants of generative adversarial network (GAN). Implemented variants: Conditional GAN (cGAN), DCGAN, LSGAN. Datasets used MNIST, SVHN, FashionMNIST, CIFAR10, CelebA, LSUN-Bedroom, LSUN-Church.
Spectral Normalization and Projection Discriminator
Beginner's Guide to building GAN from scratch with Tensorflow and Keras
Chainer implementation of the paper Robust Conditional Generative Adversarial Networks