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

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

Software that can autocomplete sketches as the user starts drawing.

🤖A list of resources to help anyone getting started with GANs 🤖

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

No description or website provided.

A web porting for NVlabs' StyleGAN.

Material de la charla "The bad guys in AI - atacando sistemas de machine learning"

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

Coherent Semantic Attention for image inpainting(ICCV 2019)

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

Benchmarking synthetic data generation methods.

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

Tensorflow-based framework to ease training of generative models

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

My pytorch implementation for GAN

Personalized Fashion Recommendation and Generation

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

A Pytorch implementation of Stylegan2 with UNet Discriminator

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

Synthesizing and manipulating 2048x1024 images with conditional GANs

Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

Text to image synthesis using thought vectors

🐳 GAN implemented as Tensorflow 2.X

A clean and readable Pytorch implementation of CycleGAN

Pure tensorflow implementation of progressive growing of GANs

Tensorflow implementation of paper "unsupervised image to image translation networks"

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

Code for “Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation”

Page to PAGE Layout Analysis Tool

PyTorch study

A curated list of awesome projects which use Machine Learning to generate synthetic content.

This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.

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.

Improving MMD-GAN training with repulsive loss function

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

Generate image from text with Generative Adversarial Network

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

A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

Tensorflow Implementation for paper "self-supervised generative adversarial networks"

Spectral Normalization for Keras Dense and Convolution Layers

Implementation of Conditional Generative Adversarial Networks in PyTorch

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

Generative Adversarial Networks in TensorFlow 2.0

Anime Generation

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

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

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Generative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)