image-super-resolution

Image enhancer

A project providing tools and frameworks for improving the quality of low-resolution images through deep learning-based techniques.

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

GitHub

5k stars
102 watching
768 forks
Language: Python
last commit: 9 months ago
Linked from 1 awesome list

awscomputer-visionconvolutional-neural-networksdeep-learningdockere-commerceidealoimage-processingimage-super-resolutionkerasmachine-learningneural-networknvidia-dockersuper-resolutiontensorflow

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
tensorlayer/srgan Generative Adversarial Network based Single Image Super-Resolution 3,326
brade31919/srgan-tensorflow Tensorflow implementation of a generative adversarial network for single image super-resolution 849
tkarras/progressive_growing_of_gans A training methodology for generative adversarial networks to improve quality and stability 6,099
xinntao/esrgan Software implementation of enhanced image restoration algorithm using Generative Adversarial Networks 6,035
leverxgroup/esrgan An enhanced deep learning framework for image super-resolution tasks using Generative Adversarial Networks and PyTorch. 150
cszn/bsrgan A deep learning-based approach to super-resolution of degraded images. 1,217
ibm/max-image-resolution-enhancer Enhances image resolution while adding realistic details using AI-powered super-resolution techniques 994
sanghyun-son/edsr-pytorch Provides a PyTorch implementation of single image super-resolution 2,443
cszn/kair Image restoration toolbox with training and testing codes for various deep learning-based methods 2,968
kupynorest/deblurgan An image deblurring system using Generative Adversarial Networks (GANs) to restore sharpness from blurry images. 2,516
nvlabs/stylegan2-ada-pytorch An official PyTorch implementation of the StyleGAN2-ADA algorithm for generating images with a focus on stability and performance. 4,132
trevor-m/tensorflow-srgan An implementation of a generative adversarial network (GAN) used to improve image quality through super-resolution 39
subeeshvasu/2018_subeesh_epsr_eccvw A deep learning-based super-resolution framework with improved perceptual accuracy and trade-off analysis tools 79
postech-cvlab/pytorch-studiogan A comprehensive PyTorch library providing implementations of various Generative Adversarial Networks (GANs) for image generation and evaluation. 3,430
karoly-hars/gan_image_colorizing This project explores image colorization using generative adversarial networks on the CIFAR10 dataset. 11