yahuang123456

yahuang123456's Stars

• FWen/deblur-pmp

  Blind Image Deblurring Using Patch-Wise Minimal Pixels Regularization

  Language:MATLAB8419

• Nithin-GK/Turbulence-Simulations

  [ICIP '22] A comparison of different atmospheric turbulence simulation methods for image restoration

  Language:Jupyter Notebook41

• CUHK-AIM-Group/U-KAN

  [ArXiv' 24] U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation

  Language:Python23029

• VladKarpushin/motion_deblur

  You will learn how to recover a motion blur image by Wiener filter

  Language:Matlab448

• dop-oxford/svDeconRL

  The repository contains the MATLAB codes requires for deconvolving an image with a spatially variant point response using a modified Richardson-Lucy algorithm with total variation regularisation and sample datasets.

  Language:MATLAB223

• subeeshvasu/Awesome-Deblurring

  A curated list of resources for Image and Video Deblurring

  2.4k366

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX21.9k2.9k

• Tombs98/M3SNet

  A Mountain-Shaped Single-Stage Network for Accurate Image Restoration

  Language:Python322

• google-research/maxim

  [CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.

  Language:Python999110

• Lihahaah/EAN

  This repository is a PyTorch implementation of An Efficient Attention Module Guided by Normalization for Deep Neural Networks (EAN). The module can be easily plugged into any classic convolutional building blocks as a feature representation augmentation tool.

  Language:Python3

• zhoudaquan/rethinking_bottleneck_design

  Language:Python13425

• pp00704831/Stripformer-ECCV-2022-

  Language:Python9114

• CalvinYang0/CRNet

  Language:Python467

• hszhao/SAN

  Exploring Self-attention for Image Recognition, CVPR2020.

  Language:Python747133

• YuZheng9/C2PNet

  [CVPR 2023] Curricular Contrastive Regularization for Physics-aware Single Image Dehazing

  Language:Python13318

• murufeng/EPSANet

  Language:Python27548

• kky7/MSSNet

  [ECCVW 2022] Official Pytorch Implementation for "MSSNet: Multi-Scale-Stage Network for Single Image Deblurring"

  Language:Python242

• VisionVerse/Blind-Motion-Deblurring-Survey

  This is a survey that reviews deep learning models and benchmark datasets related to blind motion deblurring and provides a comprehensive evaluation of these models.

  Language:Python1801

• c-yn/AdaIR

  AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation

  Language:Python945

• anas-zafar/SSAMAN

  The official GitHub page for the paper "Single Stage Adaptive Multi-Attention Network for Image Restoration"

  16

• cschenxiang/DRSformer

  Learning A Sparse Transformer Network for Effective Image Deraining (CVPR 2023)

  Language:Python25414

• chosj95/MIMO-UNet

  MIMO-UNet - Official Pytorch Implementation

  Language:Python36454

• icandle/EFDN

  Edge-enhanced Feature Distillation Network for Efficient Super-Resolution (CVPRW 2022)

  Language:Python634

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.3k1.9k

• swz30/MIRNet

  [ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, and image enhancement.

  Language:Python66294

• XPixelGroup/HAT

  CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer Arxiv - HAT: Hybrid Attention Transformer for Image Restoration

  Language:Python1.2k147

• xindongzhang/ECBSR

  Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices, ACM Multimedia 2021

  Language:Python34247

• INVOKERer/DeepRFT

  The code for 'Intriguing Findings of Frequency Selection for Image Deblurring' and 'Deep Residual Fourier Transformation for Single Image Deblurring'

  Language:Python23231

• JHW2000/JARNet

  A Novel Linear Array Pushbroom (LAP) Image Restoration Method. (Accepted by AAAI 2024)

  Language:Python101

• xuyimin0926/U-WADN

  Language:Python211