662 Open source projects that are alternatives of or similar to Artgan

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

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

A list of all named GANs!

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

A stable algorithm for GAN training

SpecGAN - generate audio with adversarial 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

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

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

Focal Frequency Loss for Generative Models

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

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

Image-to-image translation with conditional adversarial nets

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

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

Spectral Normalization for Keras Dense and Convolution Layers

Projecting images to latent space with StyleGAN2.

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

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

DCGAN image generator 🖼️.

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

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.

A PyTorch implementation for StyleGAN with full features.

Generative Adversarial Networks and Autoencoders for 3D Shapes

Code for GAN2Shape (ICLR2021 oral)

A DCGAN to generate anime faces using custom mined dataset

Composable GAN framework with api and user interface

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

An implementation of CycleGan using TensorFlow

Discovering Interpretable GAN Controls [NeurIPS 2020]

Compute FID scores with PyTorch.

Privacy-preserving generative deep neural networks support clinical data sharing

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

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

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

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

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

Handwritten Chinese Characters Generation

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

Generative Adversarial Networks in Keras

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]

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

Awesome GAN for Medical Imaging

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

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

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

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

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

🎎 InfoGAN: Interpretable Representation Learning

Unsupervised anomaly detection with generative model, keras implementation

Page to PAGE Layout Analysis Tool

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

The implementation of Relativistic average GAN with Keras

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

Semantic Image Inpainting

Pytorch deep learning face frontalization model

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.