Beast code in Giters

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

Language:PythonApache-2.099900

maxim-pytorch

[CVPR 2022 Oral] PyTorch re-implementation for "MAXIM: Multi-Axis MLP for Image Processing", with *training code*. Official Jax repo: https://github.com/google-research/maxim

Language:PythonApache-2.016900

BLIINDS2

Language:MATLAB400

SSEQ

Language:MATLAB900

pybrisque

A python implementation of BRISQUE Image Quality Assessment

Language:PythonGPL-3.022200

LeetCode-Go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

Language:GoMIT3279800

awesome-inpaint-mac

Traditional inpainting algorithms C++ test

Language:C++MIT200

matlab

matlab programming

Language:MATLABApache-2.0600

Image_Inpainting

Image inpainting for Software Engineering course.

Language:MatlabMIT2500

rsProcess

遥感处理的版本1.0版本的版本控制

Language:C++500

An-Iterative-Image-Dehazing-Method-with-Polarization

It is the code for paper "Yongqiang Zhao, Linghao Shen, Qunnie Peng, Jonathan Cheung-Wai Chan, Seong G. Kong. An Iterative Image Dehazing Method with Polarization, IEEE Transactions on Multimedia"

1500

Awesome-Low-Light-Image-Enhancement

A collection of low-light image enhancement including papers, datasets, and indexes.

200

DeepISP

eccv workshop learn ISP

Language:Python700

SSEQ

Language:Python300

TGL-Net

Lightweight and Efficient Image Dehazing Network Guided by Transmission Estimation from Real-world Hazy Scenes; accepted by Sensors 2021, 21(3), 960, MDPI; https://doi.org/10.3390/s21030960

Language:Python900

PSD-Principled-Synthetic-to-Real-Dehazing-Guided-by-Physical-Priors

Zeyuan Chen, Yangchao Wang, Yang Yang and Dong Liu. "PSD: Principled Synthetic-to-Real Dehazing Guided by Physical Priors". IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

Language:PythonMIT11400

gradient-variance-loss

Code of the ICASSP 2022 paper "Gradient Variance Loss for Structure Enhanced Super-Resolution"

Language:Python2700

Haze-removal-Push-DCP-at-the-edge

Haze removal:Push DCP at the Edge

Language:MATLAB200

densenet.pytorch

A PyTorch implementation of DenseNet.

Language:PythonApache-2.082300

GCANet

Implementation of "Gated Context Aggregation Network for Image Dehazing and Deraining"

Language:Python22500

DehazeNet_Pytorch

A Pytorch implementation for DehazeNet in paper 'DehazeNet: An End-to-End System for Single Image Haze Removal'

Language:PythonMIT5700

ResidualDenseNetwork-Pytorch

Pytorch implement: Residual Dense Network for Image Super-Resolution

Language:Python13800

densenet-pytorch

A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)

Language:PythonBSD-3-Clause45800