HaoLiu (neverwinHao)

neverwinHao

Geek Repo

Company:Shandong University

Location:Qingdao China

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HaoLiu's repositories

EECS

This is the source code for the MIT6.01 course

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CSSummerCamp2024

2024年计算机保研夏令营&冬令营通知

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Yolov5

基于YOLOv5的**车牌检测项目

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dataset

十八届智能汽车竞赛室外远程驾驶无人车赛数据测试结果

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cv-arxiv-daily

🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)

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ML-DL

机器学习&深度学习传统算法实现

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adafaceCosine

In the field of FSR, pre-trained adaface is used to extract identity features and calculate cosine similarity, which is used to compare the help of FSR for downstream tasks

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HardWare

崇新学堂开放性创新实践I硬件项目:基于STC89C51的电子万年历

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mathematical

2023 mathematical modeling B first prize in Shandong Province technical scheme

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metrix

Face super-resolution commonly used quantitative evaluation index index calculation warehouse, including PSNR, SSIM, LIPIS

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Bicubic-FSR

Bicubic超分辨对比方法

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SRGAN_reproduce

SRGAN在FSR训练模式下的复现情况

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WSR

WSRNet在1w8CelebA上的复现仓库

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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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Real-ESRGAN

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

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SwinIR

SwinIR: Image Restoration Using Swin Transformer (official repository)

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library

崇新学堂开放性创新实践I软件项目:基于SpringBoot和React的个人图书馆系统

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Awesome-Face-Restoration

A comprehensive summary of deep face restoration methods.

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sun0225SUN

sun0225SUN's profile with 172 stars and 210 forks 🎉

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Uformer

[CVPR 2022] Official implementation of the paper "Uformer: A General U-Shaped Transformer for Image Restoration".

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tidybot

TidyBot: Personalized Robot Assistance with Large Language Models

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EDSR-PyTorch

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

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ICNet-pytorch

ICNet implemented by pytorch, for real-time semantic segmentation on high-resolution images, mIOU=71.0 on cityscapes, single inference time is 19ms, FPS is 52.6.

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MRRNet

This repository contains PyTorch implementation of the following paper: Face Super-Resolution with Spatial Attention Guided by Multiscale Receptive-Field Features.

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Deep-Iterative-Collaboration

Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)

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ECANet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

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URDGN

Ultra-resolving face images by discriminative generative networks

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