A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"
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Updated
Nov 4, 2019 - Python
A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"
MoePhoto Image Toolbox萌图工具箱
Super Resolution datasets and models in Pytorch
A PyTorch implementation of widely-used bicubic interpolation, which is fully compatible with MATLAB.
[IEEE TGRS] DIP-HyperKite: Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction
Chainer implementation of Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Tensorflow with Image Super-Resolution Using Dense Skip Connections , color
TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
SRGAN (super resolution generative adversarial networks) with WGAN loss function in TensorFlow
This repository is as a research project in the field of super resolution. It uses RDN as the generator and spectral norm is used in discriminator.
TensorFlow Implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)
Implementate super resolution in deep learning
Edge and Identity Preserving Network for Face Super-Resolution (EIPNet, Neurocomputing2021)
Implementation of paper Deep Back Projection Network paper
Super Resolution of low resolution Images in PyTorch
PyTorch implementation of "Deep Bilateral Learning for Stereo Image Super-Resolution", IEEE Signal Processing Letters.
Image Enhancement, Contrast, Illumination, Saturation Adjustment and Noise Reduction and Upscaling with GANs.
TensorFlow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Network" (CVPR 2016)
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