Top 572 gan open source projects

Simply implement the paper: cGANs with Projection Discriminator by TensorFlow

This repository contains my full work and notes on Deeplearning.ai GAN Specialization (Generative Adversarial Networks)

收集深度学习相关的awesome 资源列表,欢迎补充

Applied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.

Torch implementation of Wasserstein GAN https://arxiv.org/abs/1701.07875

Simple code implement the paper of CartoonGAN(CVPR2018)

Semi-supervised Learning GAN

Symbolic Music Genre Transfer with CycleGAN - Refactorization

Generating (fake) Chinese characters using GAN

Simple and extensible GAN image-to-image translation framework. Supports natural and medical images.

Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)

🍋 [WIP] Manga Translation Tool

GAN encoders in PyTorch that could match PGGAN, StyleGAN v1/v2, and BigGAN. Code also integrates the implementation of these GANs.

Generative Adversarial Networks for Computationally Efficient Radiotherapy

tensorflow2.x implementations of Generative Adversarial Networks.

🌈 Spectral Normalization implemented as Tensorflow 2

TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.

Pytorch implementation of CycleGAN.

Redesigning the Pix2Pix model for small datasets with fewer parameters and different PatchGAN architecture

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

Least Squares Generative Adversarial Network implemented in Chainer

cRNN-GAN to generate music by training on instrumental music (midi)

Pytorch implementation of multitask CycleGAN with auxiliary classification loss

Reversing GAN image generation for similarity search and error/artifact fixing

CharacterGAN: Few-Shot Keypoint Character Animation and Reposing (Best Paper WACV 2022)

Codes of the paper "Adversarial Binary Coding for Efficient Person Re-identification"

Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction

Caffe/C++ implementation of Boundary Equilibrium Generative Adversarial Networks paper for face generation

A simple code of CycleGAN which is easy to read is implemented by TensorFlow

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)

Neural network library written in C and Javascript

基于pix2pix模型的动漫图片自动上色(keras实现) 2019-2-25

my own deep learning mastery roadmap

Two-stage GANs that generate fingerstyle guitarist images from audio.

DeepLearning using Keras with R

This repository contains a new adversarial training method for Generative Conversational Agents

StyleGAN Encoder - converts real images to latent space

Implementation for paper "Learning Single-View 3D Reconstruction with Limited Pose Supervision".

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)

GAN model using PyTorch

🤖A list of resources to help anyone getting started with GANs 🤖

SuperStyleNet: Deep Image Synthesis with Superpixel Based Style Encoder (BMVC 2021)

EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)

基于Tensorflow2开发的优秀扩展包及项目

Re-implementation of https://github.com/zsdonghao/text-to-image

Unofficial implementation of Alias-Free Generative Adversarial Networks. (https://arxiv.org/abs/2106.12423) in PyTorch

Chainer implementation of Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

Generate Art

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

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

Official pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"

This is the official GitHub repository for ECCV 2020 Workshop paper "Single image dehazing for a variety of haze scenarios using back projected pyramid network"

python package for self-attention gan implemented as extension of PyTorch nn.Module. paper -> https://arxiv.org/abs/1805.08318

Implementation of "Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision" (ECCV 2020).

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

Tensorflow-based framework to ease training of generative models

Tensorflow Implementation of DiscoGAN