398 Open source projects that are alternatives of or similar to Rethinking Inpainting Medfe

Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"

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

Unsupervised anomaly detection with generative model, keras implementation

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

Deep learning codes and projects using Python

🔥3D-RecGAN in Tensorflow (ICCV Workshops 2017)

Tensorflow implementation of PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION

Handwritten Chinese Characters Generation

Tensorflow implementation of generative adversarial imitation learning

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Software that can autocomplete sketches as the user starts drawing.

A web porting for NVlabs' StyleGAN.

Coherent Semantic Attention for image inpainting(ICCV 2019)

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

Personalized Fashion Recommendation and Generation

A Pytorch implementation of Stylegan2 with UNet Discriminator

Text to image synthesis using thought vectors

Page to PAGE Layout Analysis Tool

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

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

Spectral Normalization for Keras Dense and Convolution Layers

Anime Generation

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

DCGAN image generator 🖼️.

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

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

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

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

Privacy-preserving generative deep neural networks support clinical data sharing

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

Disentangled Makeup Transfer with Generative Adversarial Network

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

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

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

A Tensorflow implementation of the Text Conditioned Auxiliary Classifier Generative Adversarial Network for Generating Images from text descriptions (https://arxiv.org/abs/1703.06412)

A stable algorithm for GAN training

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

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

Give a portrait face, move the gaze up

Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

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

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

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

A large-scale face dataset for face parsing, recognition, generation and editing.

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

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

MMD-GAN: Towards Deeper Understanding of Moment Matching Network

Pix2Pix Image translation using conditional generative adversarial network - sketch to face

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

Code for GAN2Shape (ICLR2021 oral)

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

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

Tensorflow implementation for Conditional Convolutional Adversarial Networks.

Auxiliary Classifier Generative Adversarial Networks in Keras

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

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

The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations