398 Open source projects that are alternatives of or similar to Progressive_growing_of_gans_tensorflow

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

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

Awesome GAN for Medical Imaging

A list of all named GANs!

🔥3D-RecGAN++ in Tensorflow (TPAMI 2018)

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

GANs for time series generation in pytorch

Focal Frequency Loss for Generative Models

GAAL-based Outlier Detection

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

in progress

Reconstruction of three-dimensional porous media using generative adversarial neural networks

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

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

Semantic Image Inpainting

Tensorflow re-implementation of GAN for text summarization

chainer implementation of pix2pix

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)

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

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

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

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

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

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

Privacy-preserving generative deep neural networks support clinical data sharing

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

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

Anime Generation

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

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

Handwritten Chinese Characters Generation

Personalized Fashion Recommendation and Generation

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

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

A web porting for NVlabs' StyleGAN.

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

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

A Pytorch implementation of Stylegan2 with UNet Discriminator

Software that can autocomplete sketches as the user starts drawing.

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

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.

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

Spectral Normalization for Keras Dense and Convolution Layers

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

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

Page to PAGE Layout Analysis Tool

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

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

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

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

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

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

A PyTorch implementation for StyleGAN with full features.

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

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

Masking GAN - Image attribute mask generation