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微人事是一个前后端分离的人力资源管理系统，项目采用SpringBoot+Vue开发。

2020ntire-guided-frequency-separation-network-for-rwsr

Frequency

2022-cvpr-airnet

PyTorch implementation for All-In-One Image Restoration for Unknown Corruption (AirNet) (CVPR 2022)

addernet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

architect-awesome

后端架构师技术图谱

awesome-cvpr2021-cvpr2020-low-level-vision

A Collection of Papers and Codes for CVPR2021/CVPR2020 Low Level Vision

awesome-deblurring

A curated list of resources for Image and Video Deblurring

awesome-super-resolution

Collect super-resolution related papers, data, repositories

bam

we proposed a light-weigt but efficient blanced attention mechanism for SISR task.

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

dan

This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution

dasr

[CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution

dbpi-blindsr

Dual Back-Projection-Based Internal Learning for Blind Super-Resolution

deepiqa

NR and FR IQA models based on Deep Convolutional Neural Networks

dncnn

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

downsampling-images-x2-super-resolution

This program is to downsample images at x2 level (Image scaling) using Bicubic interpolation method. This is particularly used for Image super resolution where getting a High Resolution image from a Low Resolution image file.

dpir

Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)

dynavsr

DynaVSR: Dynamic Adaptive Blind VideoSuper-Resolution

edsr-pytorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

efficient-ai-backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

fdiwn

This repository is an official PyTorch implementation of our paper "Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution". (AAAI 2022)

handyview

Handy image viewer based on PyQt5. Convenient for viewing and comparing :-)

interviewtop

iqa-pytorch

PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, NIMA, DBCNN, WaDIQaM, BRISQUE, PI and more...

javaguide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

kernel-modeling-super-resolution

Official Implementation for Kernel Modeling Super-Resolution on Real Low-Resolution Images

leetcode

LeetCode刷题记录与面试整理

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

lite-hrnet

This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.

maniqa

[CVPRW 2022] MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment