662 Open source projects that are alternatives of or similar to Artgan

Generate Cartoon Images using Generative Adversarial Network

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

An extremely simple generative adversarial network, built with TensorFlow

Unsupervised anomaly detection with generative model, keras implementation

The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

A modern PyTorch implementation of SRGAN

Create Anime Characters with MakeGirlsMoe

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

The Simplest DCGAN Implementation

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

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

A PyTorch implementation for StyleGAN with full features.

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

🎎 InfoGAN: Interpretable Representation Learning

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

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

Solve captcha without manually labeling a training set

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

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

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

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

Awesome Generative Adversarial Networks with tensorflow

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

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)

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

Semantic Image Inpainting

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

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

Generative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

DCGAN image generator 🖼️.

InstaGAN: Instance-aware Image Translation (ICLR 2019)

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

(WIP) Implementation of Creative Adversarial Networks https://arxiv.org/pdf/1706.07068.pdf

An application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复，去马赛克，填补，去瑕疵

An implementation of CycleGan using TensorFlow

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Generative Adversarial Networks in Keras

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

Discovering Interpretable GAN Controls [NeurIPS 2020]

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

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

Privacy-preserving generative deep neural networks support clinical data sharing

Projecting images to latent space with StyleGAN2.

Spectral Normalization for Keras Dense and Convolution Layers

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

SpecGAN - generate audio with adversarial training

Unofficial implementation of StyleGAN's generator

Official Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

Handwritten Chinese Characters Generation

A DCGAN to generate anime faces using custom mined dataset

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.