693 Open source projects that are alternatives of or similar to Gannotation

An implementation of CycleGan using TensorFlow

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

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

Image-to-Image Translation in PyTorch

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

The implementation of Relativistic average GAN with Keras

Composable GAN framework with api and user interface

Unsupervised anomaly detection with generative model, keras implementation

Re-implement CycleGAN in Tensorlayer

Privacy-preserving generative deep neural networks support clinical data sharing

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

🎎 InfoGAN: Interpretable Representation Learning

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

Voice Conversion by CycleGAN (语音克隆/语音转换)：CycleGAN-VC3

PyTorch implementation of CycleGAN

Compute FID scores with PyTorch.

Discovering Interpretable GAN Controls [NeurIPS 2020]

Semantic Image Inpainting

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

Pytorch deep learning face frontalization model

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

Generative Adversarial Networks and Autoencoders for 3D Shapes

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

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

Handwritten Chinese Characters Generation

A list of all named GANs!

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

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

人脸和动漫脸的互转

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

Page to PAGE Layout Analysis Tool

Generative Adversarial Networks in Keras

Awesome GAN for Medical Imaging

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

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

A DCGAN to generate anime faces using custom mined dataset

Image-to-image translation with conditional adversarial nets

SpecGAN - generate audio with adversarial training

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

An AI for Music Generation

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

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

Projecting images to latent space with StyleGAN2.

Spectral Normalization for Keras Dense and Convolution Layers

Focal Frequency Loss for Generative Models

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

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

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

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

[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

Voice Conversion by CycleGAN (语音克隆/语音转换): CycleGAN-VC2

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

InstaGAN: Instance-aware Image Translation (ICLR 2019)

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

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

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

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