473 Open source projects that are alternatives of or similar to Conditional Gan

StoryGAN: A Sequential Conditional GAN for Story Visualization

Theano reimplementation of pixelCNN architecture

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

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

Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017

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

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

Collection of generative models in Pytorch version.

ICface: Interpretable and Controllable Face Reenactment Using GANs

Masking GAN - Image attribute mask generation

[ECCV 2020] XingGAN for Person Image Generation

in progress

PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)

A list of all named GANs!

Auxiliary Classifier Generative Adversarial Networks in Keras

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

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

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

Text to image synthesis using thought vectors

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Software that can autocomplete sketches as the user starts drawing.

A web porting for NVlabs' StyleGAN.

Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

Automates PWA asset generation and image declaration. Automatically generates icon and splash screen images, favicons and mstile images. Updates manifest.json and index.html files with the generated images according to Web App Manifest specs and Apple Human Interface guidelines.

Personalized Fashion Recommendation and Generation

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

DCGAN image generator 🖼️.

A Pytorch implementation of Stylegan2 with UNet Discriminator

Page to PAGE Layout Analysis Tool

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

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.

Anime Generation

GAAL-based Outlier Detection

Spectral Normalization for Keras Dense and Convolution Layers

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

Semantic Image Inpainting

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

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

Facial Expression Editing with Controllable Expression Intensity

Code for GAN2Shape (ICLR2021 oral)

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

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

PWA asset generator perfect with VueJS framework (but useful for all PWA!)

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

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

Code for TileGAN: Synthesis of Large-Scale Non-Homogeneous Textures (SIGGRAPH 2019)

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

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

Privacy-preserving generative deep neural networks support clinical data sharing

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

SpecGAN - generate audio with adversarial training

Disentangled Makeup Transfer with Generative Adversarial Network

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

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.

Official implementation of FQ-GAN

videos, lectures, blogs for Deep Learning

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets