kevin5645218

kevin5645218's Stars

• anuraghazra/github-readme-stats

  :zap: Dynamically generated stats for your github readmes

  Language:JavaScript72.1k2821.3k24.1k

• abhisheknaiidu/awesome-github-profile-readme

  😎 A curated list of awesome GitHub Profile which updates in real time

  26k1631193.9k

• DingXiaoH/RepVGG

  RepVGG: Making VGG-style ConvNets Great Again

  Language:Python3.4k37116433

• cszn/BSRGAN

  Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!

  Language:Python1.3k3543189

• Mikoto10032/AutomaticWeightedLoss

  Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

  Language:Python60841883

• xinntao/SFTGAN

  CVPR18 - Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform

  Language:Lua5642128100

• SHI-Labs/Cross-Scale-Non-Local-Attention

  PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020).

  Language:Python403154546

• 1044197988/Python-Image-feature-extraction

  Python实现提取图像的纹理、颜色特征，包含快速灰度共现矩阵（GLCM）、LBP特征、颜色矩、颜色直方图。

  Language:Python4003295

• alexandrosstergiou/SoftPool

  [ICCV 2021] Code for approximated exponential maximum pooling

  Language:Python29496054

• wofmanaf/SA-Net

  Code for our ICASSP 2021 paper: SA-Net: Shuffle Attention for Deep Convolutional Neural Networks

  Language:Python25942743

• luoyetx/mx-lsoftmax

  mxnet version of Large-Margin Softmax Loss for Convolutional Neural Networks.

  Language:Python176142045

• ChaofWang/AWSRN

  PyTorch code for our paper "Lightweight Image Super-Resolution with Adaptive Weighted Learning Network"

  Language:Python15951722

• zli2014/python--

  总结-改进-汇总

  Language:Python1454266

• zhuhancheng/MetaIQA

  Language:Python12822527

• eezkni/UEGAN

  [TIP-2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

  Language:Python12261415

• icbcbicc/IQA-Dataset

  A unified interface for downloading and loading popular Image Quality Assessment (IQA) datasets.

  Language:Python1212410

• oscarkey/multitask-learning

  MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, Y. Gal, R. Cipolla

  Language:Jupyter Notebook884813

• NJU-Jet/SR_Framework

  A generic framework which implements some famouts super-resolution models

  Language:Python665219

• IVRL/w2s

  (ECCVW 2020) Joint Denoising and SR in Microscopy Imaging

  Language:MATLAB5041216

• JWSoh/DUBD

  Deep Universal Blind Image Denoising (ICPR, 2020)

  Language:Python501410

• icbcbicc/FocusLiteNN

  Official PyTorch and MATLAB implementations of our MICCAI 2020 paper "FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology"

  Language:Python39325

• avisekiit/TCSVT-LightWeight-CNNs

  Code for our IEEE TCSVT Paper: Lightweight Modules for Efficient Deep Learning based Image Restoration

  Language:Python38212

• wxxxxxxh/A2F-SR

  Official PyTorch implementation of "Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning" in ACCV2020

  Language:Python36336

• kalpeshjp89/USISResNet

  This repository includes code of training/testing of our work published in NTIRE-2020 workshop titled "Unsupervised Single Image Super-Resolution Network (USISResNet) for Real-World Data Using Generative Adversarial Network".

  Language:Python17197

• geopi1/Improved_USRNet

  Blind Super Resolution based on USRNet and Kernel GAN

  Language:Python16212

• minghongli233/MWRN

  Language:Python15101

• yoon28/realsr-noise-injection

  Language:Python15350

• LostXine/qtCyberDIP

  CyberDIP driver for windows in C++ 11. 按C++ 11标准编写的CyberDIP在Windows环境下的配套驱动。

  Language:C14406

• zhaoyuzhi/Legacy-Photo-Editing-with-Learned-Noise-Prior

  The github page for WACV 2021 paper: Legacy Photo Editing with Learned Noise Prior

  Language:Python14425

• Bobholamovic/IQA-SR

  Quality Guided Single Image Super-Resolution

  Language:Python4103