1133 Open source projects that are alternatives of or similar to Context Encoder

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Interactive Image Generation via Generative Adversarial Networks

Image-to-image translation with conditional adversarial nets

The Simplest DCGAN Implementation

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

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

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

Synthesizing and manipulating 2048x1024 images with conditional GANs

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

Semantic Image Inpainting

Awesome Generative Adversarial Networks with tensorflow

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

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

Composable GAN framework with api and user interface

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

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.

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

A stable algorithm for GAN training

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

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

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

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"

DCGAN image generator 🖼️.

Image-to-Image Translation in PyTorch

GAN in Tensorflow to be run via Linux command line

基于keras使用dcgan自动生成动漫头像

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.

Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset

Study Friendly Implementation of DCGAN in Tensorflow

[CVPR2020] Adversarial Latent Autoencoders

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

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

An extremely simple generative adversarial network, built with TensorFlow

DCGAN Implementation using PyTorch in both C++ and Python

Create Anime Characters with MakeGirlsMoe

A modern PyTorch implementation of SRGAN

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

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

Generate cat images with neural networks

Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)

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

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

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.

Keras implementation of 3D Generative Adversarial Network.

Code for deep generative prior (ECCV2020 oral)

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

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

Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)

Chainer implementation of recent GAN variants

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.)

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

Solve captcha without manually labeling a training set

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

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