506 Open source projects that are alternatives of or similar to WGAN-GP-TensorFlow

A Survey on Text-to-Image Generation/Synthesis.

Collection of generative models in Pytorch version.

Tensorflow codes for our ICIP-17 and arXiv-1708.09533 works: "ArtGAN: Artwork Synthesis with Conditional Categorial GAN" & "Learning a Generative Adversarial Network for High Resolution Artwork Synthesis "

Awesome Generative Adversarial Networks with tensorflow

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

Image-to-Image Translation in PyTorch

Code and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

OpenMMLab Image and Video Editing Toolbox

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

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

Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.

Collection of generative models in Tensorflow

Tensorflow implementation for Conditional Convolutional Adversarial Networks.

Applied Deep Learning (2019 Spring) @ NTU

Invert the color of MNIST images with PyTorch

A clean and readable Pytorch implementation of CycleGAN

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

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

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

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

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

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

CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation

A sketch extractor for anime/illustration.

Focal Frequency Loss for Generative Models

Image-to-image translation with conditional adversarial nets

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

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

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

Playing with MNIST. Machine Learning. Generative Models.

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

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

The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

TriangleGAN, ACM MM 2019.

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Chainer implementation of recent GAN variants

Repository for implementation of generative models with Tensorflow 1.x

Discovering Interpretable GAN Controls [NeurIPS 2020]

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

Pure tensorflow implementation of progressive growing of GANs

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

SuperStyleNet: Deep Image Synthesis with Superpixel Based Style Encoder (BMVC 2021)

No description or website provided.

my own deep learning mastery roadmap

CycleGAN based neural network architecture to change the gender of a person’s face

Material de la charla "The bad guys in AI - atacando sistemas de machine learning"

PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

Two-stage GANs that generate fingerstyle guitarist images from audio.

Designed to take you from zero experience to GANs within a week.

Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

Listing my favorite research papers 📝 from different fields as I read them.

Synthetic Data Generation for mixed-type, multivariate time series.

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018

Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks

Deep learning image autoencoder that not depends on image resolution