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Zhong Zhuang's Projects

ranksrgan icon ranksrgan

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

rcan icon rcan

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

real-esrgan icon real-esrgan

Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

real-sr icon real-sr

Real-World Super-Resolution via Kernel Estimation and Noise Injection

real-world-sr icon real-world-sr

[ICCVW 2019] PyTorch implementation of DSGAN and ESRGAN-FS from the paper "Frequency Separation for Real-World Super-Resolution". This code was the winning solution of the AIM challenge on Real-World Super-Resolution at ICCV 2019

realsr icon realsr

Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)

realsr-1 icon realsr-1

Real-World Super-Resolution via Kernel Estimation and Noise Injection

san icon san

Second-order Attention Network for Single Image Super-resolution (CVPR-2019)

srfbn_cvpr19 icon srfbn_cvpr19

Pytorch code for our paper "Feedback Network for Image Super-Resolution" (CVPR2019)

srfeat icon srfeat

GAN based super-resolution (presented at ECCV 2018)

srgan icon srgan

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

srmd icon srmd

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018)

srmd-pytorch icon srmd-pytorch

A PyTorch Implementation of "Learning a Single Convolutional Super-Resolution Network for Multiple Degradations"

srntt icon srntt

Image Super-Resolution by Neural Texture Transfer

srram icon srram

Unofficial Implementation of Residual Attention Module

ssd.pytorch icon ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

waveletsrnet icon waveletsrnet

A pytorch implementation of Paper "Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution"

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