806 Open source projects that are alternatives of or similar to Ranksrgan

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

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

PyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)

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

GAN Playground - Experiment with Generative Adversarial Nets in your browser. An introduction to GANs.

[CVPR2020] Adversarial Latent Autoencoders

Interactive Image Generation via Generative Adversarial Networks

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

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

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

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

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

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

T2F: text to face generation using Deep Learning

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

Synthesizing and manipulating 2048x1024 images with conditional GANs

Awesome Generative Adversarial Networks with tensorflow

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

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

Unsupervised anomaly detection with generative model, keras implementation

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

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

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

Generative Adversarial Networks and Autoencoders for 3D Shapes

InstaGAN: Instance-aware Image Translation (ICLR 2019)

Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

An implementation of CycleGan using TensorFlow

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

Generative Adversarial Networks in Keras

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

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

Discovering Interpretable GAN Controls [NeurIPS 2020]

Official repository of JSI-GAN (Accepted at AAAI 2020).

Privacy-preserving generative deep neural networks support clinical data sharing

SpecGAN - generate audio with adversarial training

Page to PAGE Layout Analysis Tool

Awesome Resources for Advanced Computer Vision Topics

Spectral Normalization for Keras Dense and Convolution Layers

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Using Machine Learning to predict the type of exercise from movement data

The implementation of Relativistic average GAN with Keras

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

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

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

A list of all named GANs!

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

Handwritten Chinese Characters Generation

Focal Frequency Loss for Generative Models

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

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

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

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

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

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

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.