Top 426 generative-adversarial-network open source projects

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

Synthesizing and manipulating 2048x1024 images with conditional GANs

Awesome Generative Adversarial Networks with tensorflow

A clean and readable Pytorch implementation of CycleGAN

Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

A curated list of awesome projects which use Machine Learning to generate synthetic content.

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

T2F: text to face generation using Deep Learning

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

Tutorial on creating your own GAN in Tensorflow

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

由淺入深的深度學習資源 Collection of deep learning materials for everyone

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

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

Official TP-GAN Tensorflow implementation for paper "Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis"

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

Solve captcha without manually labeling a training set

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Interactive Image Generation via Generative Adversarial Networks

Chainer implementation of recent GAN variants

The implementation of StyleGAN on PyTorch 1.0.1

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

Unsupervised Video Retargeting (e.g. face to face, flower to flower, clouds and winds, sunrise and sunset)

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

Synthetic Data Generation for tabular, relational and time series data.

Curated list of awesome GAN applications and demo

Project Page of 'GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction' [CVPR2019]

Tensorflow implementation of CycleGAN

The Roadmap to Learn Generative Adversarial Networks (GANs)

GAN Playground - Experiment with Generative Adversarial Nets in your browser. An introduction to GANs.

Official code for "Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content"，CVPR‘20 https://arxiv.org/abs/2003.05863

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

This repository contains a new generative model of chatbot based on seq2seq modeling.

PyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

Code for deep generative prior (ECCV2020 oral)

Conditional GAN for generating synthetic tabular data.

A modern PyTorch implementation of SRGAN

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

Create Anime Characters with MakeGirlsMoe

The Simplest DCGAN Implementation

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.