Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
-
Updated
Apr 19, 2019 - Python
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
TensorFlow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Network" (CVPR 2016)
天池2019阿里巴巴优酷视频增强和超分辨率挑战赛自用代码,EDVR、WDSR、ESRGAN三个模型。
Test basic super resolution methods with different optimization methods
Quality Guided Single Image Super-Resolution
This project is aimed to develop powerful and lightweight networks to address the two tasks presented in the NTIRE 2017 SuperResolution Challenge. The two deep learning models proposed, i.e. a CNN and a GAN, achieved satisfactory results demonstrating an important ability in introducing high-frequency information to the original low resolution i…
This repository stores scripts used to run COMASure and its extensions. The models are studied as part of the requirements for the MSc Data Science and Machine Learning dissertation at UCL.
Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab)
CVPR 2021 Oral Paper PatchGenCN
WSISR: Single image super-resolution for Whole slide Imaging using convolutional neural networks and self-supervised color normalization.
A tensorflow-based implementation of SISR using EDSR, SRResNet, and SRGAN
This repository includes code of training/testing of our work published in NTIRE-2020 workshop titled "Unsupervised Single Image Super-Resolution Network (USISResNet) for Real-World Data Using Generative Adversarial Network".
Implementation of Single Image Super Resolution using SRGAN
Probabilistic Downscaling of Climate Variables Using Denoising Diffusion Probabilistic Models
Implementation of EDSR, ESPCN, LAPSRN, SRCNN, SRGAN and WDSR for single image super-resolution (SISR) based on Tensorflow 2.x for CMU's 10-707 Advanced Deep Learning Final Project
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
PyTorch super-resolution model (OverNet) with RGB support and ONNX exporter (OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network (WACV 2021))
Second-order Attention Network for Single Image Super-resolution (CVPR-2019)
TensorFlow Implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
Add a description, image, and links to the single-image-super-resolution topic page so that developers can more easily learn about it.
To associate your repository with the single-image-super-resolution topic, visit your repo's landing page and select "manage topics."