context-encoder

boyuanjiang/context_encoder_pytorch366

Image inpainter

A PyTorch implementation of a deep learning model for inpainting images using contextual information

karoly-hars/gan_image_colorizing11

Image Colorizer

This project explores image colorization using generative adversarial networks on the CIFAR10 dataset.

htzheng/cm-gan-inpainting243

Image Inpainting Framework

A deep learning framework for image inpainting using a cascaded modulation GAN design with object-aware training and spatial adaptive modulation.

casualganpapers/make-a-scene334

Image generator

PyTorch implementation of a scene-based text-to-image generation system with human priors using Generative Adversarial Networks and semantic segmentation

dmitryulyanov/age285

Face generator

This repository provides code for training Generative Adversarial Networks (GANs) for various image datasets, including face generation.

csailvision/gandissect1.8K

GAN analyzer

Visualizes and understands internal representations of generative adversarial networks (GANs) to analyze their behavior and improve performance.

nashory/gans-collection.torch55

GAN frameworks

A collection of Torch implementations for training various types of Generative Adversarial Networks (GANs)

0b01/simgan-captcha434

CAPTCHA solver

Automated solution of CAPTCHA images using simulated unsupervised learning and Generative Adversarial Networks (GANs)

yunishi3/3d-fcr-alphagan103

Generative Model

This project aims to develop a generative model for 3D multi-object scenes using a novel network architecture inspired by auto-encoding and generative adversarial networks.

gink03/alt-i2v34

Image embedding

An implementation of a deep learning-based image representation learning approach using a modified fully connected layer and transfer learning from VGG16

hanzhanggit/stackgan-v2847

Image Text GAN Framework

Software framework for training and evaluating generative models of images and text based on adversarial networks

zhegan27/semantic_compositional_nets70

Image Captioning Model

A deep learning framework providing a model architecture and training code for image captioning using semantic compositional networks

reedscot/icml2016912

Image generator

Generates synthetic images from text descriptions using a Generative Adversarial Network (GAN)

akanimax/pro_gan_pytorch538

Image generator

Implementation of a deep learning model for generating high-quality images with improved stability and variation.

cszn/ircnn602

Image Restoration Library

This project trains deep CNN denoisers to improve image restoration tasks such as deblurring and demosaicking through model-based optimization methods.