Zhong Zhuang (zhuangzhong)

zhuangzhong

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Location:Beijing, China

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Zhong Zhuang's repositories

neural-style

Neural style in TensorFlow! :art:

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FALSR

Fast, Accurate and Lightweight Super-Resolution models

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ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

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BasicSR

Basic Super-Resolution Toolbox, including SRResNet, SRGAN, ESRGAN, etc.

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SRFeat

GAN based super-resolution (presented at ECCV 2018)

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SRFBN_CVPR19

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

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Meta-SR-Pytorch

Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)

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NTIRE2019_EDRN

My solution for NTIRE2019 real super-resolution

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ESRGAN

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)

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MWCNN

Multi-level Wavelet-CNN for Image Restoration

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SRRAM

Unofficial Implementation of Residual Attention Module

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SRNTT

Image Super-Resolution by Neural Texture Transfer

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RCAN

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

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WaveletSRNet

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

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RetinexNet

A Tensorflow implementation of RetinexNet

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SRMD

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

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Deep-Compression-PyTorch

PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally

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pytorch2caffe

pytorch(0.3,0.4) model to caffe

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SRGAN

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

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SRMD-pytorch

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

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Super-Resolution.Benckmark

Benchmark and resources for single super-resolution algorithms

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