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

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Semantic Image Inpainting

Collection of generative models in Pytorch version.

Focal Frequency Loss for Generative Models

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

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

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

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

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

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

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

Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)

chainer implementation of pix2pix

Learning kernels to maximize the power of MMD tests

Awesome GAN for Medical Imaging

ArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.

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

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

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

Semi-supervised GAN in "Improved Techniques for Training GANs"

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

Generative adversarial training for generating synthetic tabular data.

Masking GAN - Image attribute mask generation

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

in progress

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

A list of all named GANs!

Stochastic Adversarial Video Prediction

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

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.

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

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

Tensorflow re-implementation of GAN for text summarization

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

GANs for time series generation in pytorch

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

Projecting images to latent space with StyleGAN2.

A DCGAN to generate anime faces using custom mined dataset

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

Tensorflow implementation for Conditional Convolutional Adversarial Networks.

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

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

GAAL-based Outlier Detection

The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

OpenMMLab Image and Video Editing Toolbox

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

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

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

Generative Adversarial Networks and Autoencoders for 3D Shapes

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

This is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".

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

A curated list of dedicated resources and applications

A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)

Stacked Generative Adversarial Networks

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Deep learning codes and projects using Python

Personalized Fashion Recommendation and Generation