There are 0 repository under sisr topic.
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)
动漫图片超分辨率(SISR)——基于WDSR (2019-4-30)
Code repo for "Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution" (CVPRW NTIRE2020).
A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs
My implementaion of super-resolution based on dual-path networks. It can be used directly to reconstruct your low-resolution image to high-resolution. Also, you can use your dataset to train your networks
awesome super resoluiton paper collections w/o code including paper citation
A curated list of awesome image super resolution
A Keras implementation of a SISR (Single-Image Super-Resolution) Residual-CNN.
This repository contains source code implementation of assignments for NTU's MSAI course AI6126 on Advanced Computer Vision (2020 Sem 1).
lots of single image super resolution model implementations in tensorflow
Graduation Project. Applying Generative Adversarial Networks(GAN) with Residual-In-Residual(RIR) blocks.
Sentinel-5P Single-Image Super-Resolution Toolbox
Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019) in pytorch
A solution of SISR that merges the ideas of SRGAN and Edge Informed SISR. This solution was presented on 1st SpainAI hackathon obtain 4th position.
Single image super resolution
This repository contains an Image Upscaling project using a Generative Adversarial Network (GAN) model.
Implementations of common models used for Image Super Resolution
Public Repository of the SISR ( Single Image Super resolution) project ( The original dev repo is private)
This is the assignment for the 4840-1014 Visual Media module, a graduate level module in the University of Tokyo
Single Image Super-Resolution in Tensorflow using GAN. Implementation of https://arxiv.org/abs/1609.04802.