425 Open source projects that are alternatives of or similar to wgan-gp

Pure tensorflow implementation of progressive growing of GANs

Collection of generative models in Tensorflow

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"

Chainer implementation of the Wesserstein GAN

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

Awesome Generative Adversarial Networks with tensorflow

Simple Implementation of many GAN models with PyTorch.

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.

Collection of generative models in Pytorch version.

GAN讨论群讨论汇总的地方

PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].

Image-to-Image Translation in PyTorch

On the "steerability" of generative adversarial networks

Convert text into beautiful artistic images

speech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

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

Keras model and tensorflow optimization of 'improved Training of Wasserstein GANs'

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.

Sketch-Based 3D Exploration with Stacked Generative Adversarial Networks

Code accompanying the paper "A Generative Framework for Zero Shot Learning with Adversarial Domain Adaptation"

Pytorch implementation of "SinGAN: Learning a Generative Model from a Single Natural Image"

Playing with MNIST. Machine Learning. Generative Models.

Summaries of machine learning papers

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Repository for implementation of generative models with Tensorflow 1.x

Virtual Clothing Try-on with Deep Learning. PyTorch reproduction of SwapNet by Raj et al. 2018. Now with Docker support!

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

No description or website provided.

(CVPR 2019 Oral) Style Transfer with Geometric Deformation

In this work we propose two postprocessing approaches applying convolutional neural networks (CNNs) either in the time domain or the cepstral domain to enhance the coded speech without any modification of the codecs. The time domain approach follows an end-to-end fashion, while the cepstral domain approach uses analysis-synthesis with cepstral d…

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.

Adversarial Generation of Handwritten Text Images

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.

Simple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.

CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.

A torch implementation of "Pixel-Level Domain Transfer"

Symbolic Music Genre Transfer with CycleGAN

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

Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"

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

Torch implementation of Wasserstein GAN https://arxiv.org/abs/1701.07875

( ECCV2018 ) Macro-Micro Adversarial Network for Human Parsing

Stochastic Adversarial Video Prediction

pyTorch implementation of Spectral Normalization for Generative Adversarial Networks

人像卡通化探索项目 (photo-to-cartoon translation project)

A minimal tensorflow implementation of pix2pix (Image-to-Image Translation with Conditional Adversarial Nets - https://phillipi.github.io/pix2pix/).

GitHub repo for my Tensorflow World hackathon submission

A modern deep learning framework built to accelerate research and development of AI systems

Multimodal Unsupervised Image-to-Image Translation

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

Everything about Generative Adversarial Networks

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

Deep fake ready to train on any 2 pair dataset with higher resolution

TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.