726 Open source projects that are alternatives of or similar to Pggan Pytorch

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

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

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

Synthesizing and manipulating 2048x1024 images with conditional GANs

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

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

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

An extremely simple generative adversarial network, built with TensorFlow

Awesome Generative Adversarial Networks with tensorflow

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

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

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Showcasing various fun adventures with GANs

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

GAN in Tensorflow to be run via Linux command line

Generate text boxes from input words with a GAN.

Pytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"

[CVPR2020] Adversarial Latent Autoencoders

Generate Cartoon Images using Generative Adversarial Network

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

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

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

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

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

Solve captcha without manually labeling a training set

Interactive Image Generation via Generative Adversarial Networks

T2F: text to face generation using Deep Learning

Official pytorch implementation of the IrwGAN for unaligned image-to-image translation

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

PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].

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

Unofficial implementation of StyleGAN's generator

Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".

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

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

Invert the color of MNIST images with PyTorch

Keras implementation of 3D Generative Adversarial Network.

Applied Deep Learning (2019 Spring) @ NTU

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

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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

Stochastic Adversarial Video Prediction

Code for deep generative prior (ECCV2020 oral)

A modern PyTorch implementation of SRGAN

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

Create Anime Characters with MakeGirlsMoe

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

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

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

The Simplest DCGAN Implementation

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

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

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

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

The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"

Everything about Generative Adversarial Networks

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

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

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.

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