Collection of generative models in Tensorflow

Collection of generative models in Pytorch version.

🔥 PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain. 🔥 图像翻译，条件GAN，AI绘画

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

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

cGAN-based Multi Organ Nuclei Segmentation

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.

Channel Estimation for One-Bit Multiuser Massive MIMO Using Conditional GAN

Implementation of Conditional Generative Adversarial Networks in PyTorch

Simple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.

GAN models with Anime.

여러가지 유명한 신경망 모델들을 제공합니다. (DCGAN, VAE, Resnet 등등)

Official Pytorch implementation of "DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network" (CVPR'21)

MXNet Implementation of DCGAN, Conditional GAN, pix2pix

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.

Comic Colorization with cGAN

Spectral Normalization and Projection Discriminator