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

HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

No description or website provided.

A sketch extractor for anime/illustration.

[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning

MultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

this repo attemps to reproduce Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks(CycleGAN) use gluon reimplementation

MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

Assessing Generative Models via Precision and Recall (official repository)

30 Days GANs Paper Reading

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes

A curated list of dedicated resources and applications

Stochastic Adversarial Video Prediction

A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)

Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)

Everything about Generative Adversarial Networks

The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"

Stacked Generative Adversarial Networks

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.

Semi-supervised GAN in "Improved Techniques for Training GANs"

Image-to-Image Translation in PyTorch

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

On the "steerability" of generative adversarial networks

This is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)

ArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.

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.

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400