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

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

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

A PyTorch implementation for StyleGAN with full features.

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

A list of all named GANs!

Generative Adversarial Networks and Autoencoders for 3D Shapes

Awesome GAN for Medical Imaging

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

Masking GAN - Image attribute mask generation

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

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

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

OpenMMLab Image and Video Editing Toolbox

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

chainer implementation of pix2pix

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

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

Generative adversarial training for generating synthetic tabular data.

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

🎎 InfoGAN: Interpretable Representation Learning

in progress

A DCGAN to generate anime faces using custom mined dataset

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

Semantic Image Inpainting

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

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

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

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

GANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)

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

Unsupervised anomaly detection with generative model, keras implementation

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

Text to image synthesis using thought vectors

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

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

Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN

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

Software that can autocomplete sketches as the user starts drawing.

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

Tensorflow implementation of generative adversarial imitation learning

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

Personalized Fashion Recommendation and Generation

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

MMD-GAN: Towards Deeper Understanding of Moment Matching Network

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

Page to PAGE Layout Analysis Tool

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

DCGAN image generator 🖼️.

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

Anime Generation

Handwritten Chinese Characters Generation

Pytorch deep learning face frontalization model

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

Learning kernels to maximize the power of MMD tests

TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

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

Focal Frequency Loss for Generative Models