662 Open source projects that are alternatives of or similar to The Gan World

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

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

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

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

On the "steerability" of generative adversarial networks

Projecting images to latent space with StyleGAN2.

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

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

Focal Frequency Loss for Generative Models

A PyTorch implementation for StyleGAN with full features.

SpecGAN - generate audio with adversarial training

DCGAN image generator 🖼️.

Privacy-preserving generative deep neural networks support clinical data sharing

Spectral Normalization for Keras Dense and Convolution Layers

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

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

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

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.

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

A stable algorithm for GAN training

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

🎎 InfoGAN: Interpretable Representation Learning

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

A DCGAN to generate anime faces using custom mined dataset

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

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

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

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Discovering Interpretable GAN Controls [NeurIPS 2020]

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

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

Image-to-Image Translation in PyTorch

Compute FID scores with PyTorch.

A list of all named GANs!

Handwritten Chinese Characters Generation

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

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

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

Awesome GAN for Medical Imaging

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.

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

Collection of generative models in Pytorch version.

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

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

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Page to PAGE Layout Analysis Tool

Semantic Image Inpainting

Code for GAN2Shape (ICLR2021 oral)

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

Pytorch deep learning face frontalization model

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

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

Unsupervised anomaly detection with generative model, keras implementation

Image-to-image translation with conditional adversarial nets

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

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

Generative Adversarial Networks and Autoencoders for 3D Shapes

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

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