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

A PyTorch implementation for StyleGAN with full features.

Focal Frequency Loss for Generative Models

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

Generative Adversarial Networks and Autoencoders for 3D Shapes

The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

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

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

Collection of generative models in Pytorch version.

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

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

OpenMMLab Image and Video Editing Toolbox

Awesome GAN for Medical Imaging

Learning kernels to maximize the power of MMD tests

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

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

🎎 InfoGAN: Interpretable Representation Learning

Generative adversarial training for generating synthetic tabular data.

Semantic Image Inpainting

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

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

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

chainer implementation of pix2pix

A DCGAN to generate anime faces using custom mined dataset

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

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

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

Unsupervised anomaly detection with generative model, keras implementation

Deep learning codes and projects using Python

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

Tensorflow implementation of generative adversarial imitation learning

Software that can autocomplete sketches as the user starts drawing.

Coherent Semantic Attention for image inpainting(ICCV 2019)

Personalized Fashion Recommendation and Generation

Text to image synthesis using thought vectors

Page to PAGE Layout Analysis Tool

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

Anime Generation

DCGAN image generator 🖼️.

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

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

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

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

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

A stable algorithm for GAN training

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

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

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

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

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

MMD-GAN: Towards Deeper Understanding of Moment Matching Network

Code for GAN2Shape (ICLR2021 oral)

Pytorch deep learning face frontalization model

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