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

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

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

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

Give a portrait face, move the gaze up

Anime Generation

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

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

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

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

A large-scale face dataset for face parsing, recognition, generation and editing.

Handwritten Chinese Characters Generation

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

Personalized Fashion Recommendation and Generation

Pix2Pix Image translation using conditional generative adversarial network - sketch to face

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

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

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

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

A web porting for NVlabs' StyleGAN.

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

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

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

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

[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

based on https://github.com/kwj2104/CPPN-WGAN, but on chineses fonts and improved architecture

A Pytorch implementation of Stylegan2 with UNet Discriminator

C++ Implementation of PyTorch Tutorials for Everyone

Software that can autocomplete sketches as the user starts drawing.

This toolbox is support material for the book on CNN (http://www.convolution.network).

The implementation of Relativistic average GAN with Keras

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

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

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.

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

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

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Spectral Normalization for Keras Dense and Convolution Layers

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

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

Given an image and a target viewpoint, generate synthetic image in the target viewpoint

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

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

Page to PAGE Layout Analysis Tool

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

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

InstaGAN: Instance-aware Image Translation (ICLR 2019)

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

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

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

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

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

Privacy-preserving generative deep neural networks support clinical data sharing

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

videos, lectures, blogs for Deep Learning