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

Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"

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

Rethinking Image Inpainting via a Mutual Encoder Decoder with Feature Equalizations. ECCV 2020 Oral

A stable algorithm for GAN training

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

Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)

Text to image synthesis using thought vectors

Image-to-Image Translation in PyTorch

MMD-GAN: Towards Deeper Understanding of Moment Matching Network

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(WIP) Implementation of Creative Adversarial Networks https://arxiv.org/pdf/1706.07068.pdf

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

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

Code for GAN2Shape (ICLR2021 oral)

GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.

Tensorflow implementation of generative adversarial imitation learning

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

DCGAN image generator 🖼️.

Everything about Generative Adversarial Networks

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

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Pytorch deep learning face frontalization model

On the "steerability" of generative adversarial networks

Unsupervised anomaly detection with generative model, keras implementation

A collection of arbitrary text to image papers with code (constantly updating)

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

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

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Collection of generative models in Pytorch version.

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

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

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

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

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

Learning kernels to maximize the power of MMD tests

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.

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

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

Generative adversarial training for generating synthetic tabular data.

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

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

Stochastic Adversarial Video Prediction

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.

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

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

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

A DCGAN to generate anime faces using custom mined dataset

Tensorflow implementation for Conditional Convolutional Adversarial Networks.

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

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

OpenMMLab Image and Video Editing Toolbox

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

Generative Adversarial Networks and Autoencoders for 3D Shapes

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

Auxiliary Classifier Generative Adversarial Networks in Keras

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