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attention_unet

Neural Network for semantic segmentation

bm3d

clone of the MATLAB-version BM3D http://www.cs.tut.fi/~foi/GCF-BM3D/

captum

Model interpretability and understanding for PyTorch

dbcnn

Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network

deblurring-and-sparse-unmixing-for-hyperspectral-images

code of Deblurring and sparse unmixing for hyperspectral images

despecknet

These are a set of scripts to train a deep learning based SAR image despeckling method.

dip-red-dip-wtv

early_stopping_for_dip

fastdeconv

Fast image deconvolution using hyper-Laplacian priors

flashtorch

Visualization toolkit for neural networks in PyTorch! Demo -->

hyperiqa

Source code for the CVPR'20 paper "Blindly Assess Image Quality in the Wild Guided by A Self-Adaptive Hyper Network"

ir_tensr

msann

This is the python code corresponding to the article "Blind Image Despeckling Using Multi-Scale Attention-Guided Neural Network"

nafnet

The state-of-the-art image restoration model without nonlinear activation functions.

niqe

NIQE for IQA in python..

pyfod

Python package for fractional-order derivative operators

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

restormer

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

retinexdip

The pytorch implementation of RetinexDIP, a unified zero-reference deep framework for low-light enhancement.

sar-cam

Official Code of "SAR Image Despeckling Using Continuous Attention Module"

srcnn-keras

implement SRCNN via Keras with Theano as backend. For fair comparison with published works, low-resolution images are produced by matlab imresize function.

vcrnet

Code for VCRNet: Visual Compensation Restoration Network for No-Reference Image Quality Assessment