1171 Open source projects that are alternatives of or similar to Shapegan

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Unofficial implementation of StyleGAN's generator

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

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

Page to PAGE Layout Analysis Tool

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

Generate text boxes from input words with a GAN.

Invert the color of MNIST images with PyTorch

An extremely simple generative adversarial network, built with TensorFlow

Applied Deep Learning (2019 Spring) @ NTU

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

A repository for the paper "Improved Adversarial Systems for 3D Object Generation and Reconstruction".

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

Code for deep generative prior (ECCV2020 oral)

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

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

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.

Interactive Image Generation via Generative Adversarial Networks

A modern PyTorch implementation of SRGAN

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

Spectral Normalization for Keras Dense and Convolution Layers

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

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

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)

Stochastic Adversarial Video Prediction

A Pytorch implementation for the ZeroSpeech 2019 challenge.

Projecting images to latent space with StyleGAN2.

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

Synthesizing and manipulating 2048x1024 images with conditional GANs

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

Awesome Generative Adversarial Networks with tensorflow

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

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

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

An AI for Music Generation

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

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

InstaGAN: Instance-aware Image Translation (ICLR 2019)

Generative Adversarial Networks in Keras

The implementation of Relativistic average GAN with Keras

Composable GAN framework with api and user interface

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

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

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Image-to-image translation with conditional adversarial nets

A list of all named GANs!

Privacy-preserving generative deep neural networks support clinical data sharing

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

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

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

Everything about Generative Adversarial Networks

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

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Using Machine Learning to predict the type of exercise from movement data

Handwritten Chinese Characters Generation