398 Open source projects that are alternatives of or similar to Mmd Gan

Masking GAN - Image attribute mask generation

Code for paper "SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis"

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"

Focal Frequency Loss for Generative Models

A list of all named GANs!

A PyTorch implementation for StyleGAN with full features.

GANs for time series generation in pytorch

The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

GAAL-based Outlier Detection

Semantic Image Inpainting

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

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

in progress

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

Code for "A-NICE-MC: Adversarial Training for MCMC"

OpenMMLab Image and Video Editing Toolbox

Tensorflow re-implementation of GAN for text summarization

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Projecting images to latent space with StyleGAN2.

🎎 InfoGAN: Interpretable Representation Learning

Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)

chainer implementation of pix2pix

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

Spectral Normalization for Keras Dense and Convolution Layers

Anime Generation

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

Tensorflow implementation of PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

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

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

Software that can autocomplete sketches as the user starts drawing.

🔥3D-RecGAN in Tensorflow (ICCV Workshops 2017)

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

Handwritten Chinese Characters Generation

Pytorch deep learning face frontalization model

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

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

A web porting for NVlabs' StyleGAN.

Personalized Fashion Recommendation and Generation

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

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

A Pytorch implementation of Stylegan2 with UNet Discriminator

Unsupervised anomaly detection with generative model, keras implementation

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

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

Page to PAGE Layout Analysis Tool

A DCGAN to generate anime faces using custom mined dataset

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

Generative Adversarial Networks and Autoencoders for 3D Shapes

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

Awesome GAN for Medical Imaging