Collection of generative models in Pytorch version.

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

Simple Implementation of many GAN models with PyTorch.

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.

[NeurIPS 2022, T-PAMI 2023] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models

Tensorflow implementation for Conditional Convolutional Adversarial Networks.

In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).

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.

Official PyTorch implementation of Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation (ICLR 2019)

[MICCAI'21] [Tensorflow] Retinal Vessel Segmentation using a Novel Multi-scale Generative Adversarial Network

The implementation of 'Image synthesis via semantic composition', ICCV2021.

Text to Image Synthesis using Generative Adversarial Networks

Generative Adversarial Networks in TensorFlow 2.0

🎨 Anime generation with GANs.

PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)

GAN models with Anime.

ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods

Pytorch implementation of Conditional-GAN (CGAN)

Conditional Sequence Generative Adversarial Network trained with policy gradient, Implementation in Tensorflow

Few-shot image translation method working on unstructured environments. ECCV 2022

An enhanced zi2zi project with word-oriented data augmentation, feature combination, and transfer learning.

This Repository Contains Solution to the Assignments of the Generative Adversarial Networks (GANs) Specialization from deeplearning.ai on Coursera Taught by Sharon Zhou, Eda Zhou, Eric Zelikman

Code for the paper: Multi-Label Clinical Time-Series Generation via Conditional GAN (IEEE TKDE)

Code implementation for paper that "ACSCS: Crowd Counting via Adversarial Cross-Scale Consistency Pursuit"; This is method of Crowd counting by conditional generation adversarial networks

Conditioning of three-dimensional geological and pore scale generative adversarial networks

This project uses a conditional generative adversarial network (cGAN) named Pix2Pix for the Image to image translation task.

SAR to Optical Image-to-Image Translation with pix2pix