1267 Open source projects that are alternatives of or similar to Cyclegan

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

A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

VapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)

Toward Multimodal Image-to-Image Translation

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

Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

DEPRECATED: Depth Map Estimation from Monocular Images

Page to PAGE Layout Analysis Tool

Image Deblurring using Generative Adversarial Networks

this repo attemps to reproduce Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks(CycleGAN) use gluon reimplementation

AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

Invert the color of MNIST images with PyTorch

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

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

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

Generate Cartoon Images using Generative Adversarial Network

Code for deep generative prior (ECCV2020 oral)

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Discovering Interpretable GAN Controls [NeurIPS 2020]

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

🖼 Create artwork from your casual sketch with GAN and style transfer

SEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

🙄 Difficult algorithm, Simple code.

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

Solve captcha without manually labeling a training set

A collection of awesome resources image-to-image translation.

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

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

由淺入深的深度學習資源 Collection of deep learning materials for everyone

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

Generative Adversarial Transformers

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

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

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

ICface: Interpretable and Controllable Face Reenactment Using GANs

Generate cat images with neural networks

A Pixel Art Editor

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

Spectral Normalization for Keras Dense and Convolution Layers

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

Awesome Generative Adversarial Networks with tensorflow

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

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

Official PyTorch implementation of GDWCT (CVPR 2019, oral)

Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

🎥 Video stabilization using L1-norm optimal camera paths.

🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.