Discover xueshengke/Residual-Dense-Network-Caffe Open Source project

Stars
2
Language
MATLAB
Created about 6 years ago
Updated almost 6 years ago

xueshengke

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

This is the implementation of paper: "Y. Zhang, Y. Tian, Y. Kong, et al., 2018. Residual dense network for image super-resolution. CVPR, p.2472-2481."

ISEE-template

TeX

TNNR

This is an implementation of Truncated Nuclear Norm Regularization Method.

MATLAB

WRANSR-keras

This project is the implementation of paper "Xue S. et al., Wavelet-based Residual Attention Network for Image Super-Resolution, Neurocomputing, 2019".

Python

Tensor-TNNR

MATLAB

IFNNSR

This is the implementation of paper "Xue, S., et al., Faster Image Super-Resolution by Improved Frequency Domain Neural Networks. Signal, Image and Video Processing, submitted, 2019."

MATLAB

DW-TNNR

This is an implementation of Double Weighted Truncated Nuclear Norm Regularization Method.

MATLAB

ZJU-VPN

This is a guide for the installing the VPN based on CentOS 7 (Linux Distribution).

2D-PUPO

This is an implementation of paper "S. Xue and R. Bai. 2D Probabilistic Undersampling Pattern Optimization for MR Image Reconstruction. IEEE Transactions on Medical Imaging, 2020, under review."

Python

SRDenseNet-Caffe

This is the implementation of paper: "T. Tong, G. Li, X. Liu, et al., 2017. Image super-resolution using dense skip connections. ICCV, p.4809-4817."

MATLAB

FNNSR

This is the implementation of paper "Li, J., et al., A Frequency Domain Neural Network for Fast Image Super-resolution. International Joint Conference on Neural Networks (IJCNN), 2018."

MATLAB

TNNR-WRE

This is an implementation of Truncated Nuclear Norm Regularization Method Based on Weighted Residual Error.

MATLAB

CPLRR

This is an implementation of our paper "CPLRR" on the Journal of SIVP.

MATLAB

libADMM

This is a general tool for low-rank models. Written by Canyi Lu.

MATLAB

xueshengke/Residual-Dense-Network-Caffe

xueshengke

Reviews

Repository Details

More Repositories