Collection of generative models in Tensorflow
-
Updated
Aug 8, 2022 - Python
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
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
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.
Implementation of Conditional Generative Adversarial Networks in PyTorch
Channel Estimation for One-Bit Multiuser Massive MIMO Using Conditional GAN
Official Pytorch implementation of "DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network" (CVPR'21)
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.
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.
GANs Implementations in Keras
Add a description, image, and links to the cgan topic page so that developers can more easily learn about it.
To associate your repository with the cgan topic, visit your repo's landing page and select "manage topics."