gengmufeng

CNCL-denoising

Pytorch implementation of Content-Noise Complementary Learning for Medical Image Denoising.

TCFL-OCT

Pytorch implementation of Triplet Cross-Fusion Learning for Unsupervised Noise Reduction of OCT Images

ADNet

Attention-guided CNN for image denoising(Neural Networks,2020)

adn

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

BM3D-Denoise

Using BM3D to denoise ,the code I'm modified is from https://github.com/MarkPrecursor/BM3D_Denosing.git

Caps-cGAN

CONRAD

CONRAD Repository

CPFNet_Project

This is a pytorch project about medical segmentation

ct-reconstruction

siddon forward projection algorithm based on equidistance fan-beam CT

CT_Reconstruction

Crude CT reconstruction simulator using filtered back projection.

DCLGAN

Code for Dual Contrastive Learning for Unsupervised Image-to-Image Translation, NTIRE, CVPRW 2021, oral.

dival

Deep Inversion Validation Library

DRGAN-OCT

ICLR_2021_an_unsupervised_deep_learning_approach_for_real_world_image_denoising

MixtureOfDeepExperts

Implements a gated network for fusing features from different modalities for object detection

modular_deep_learning

This repository contains scripts for implementing various learning from expert architectures, such as mixture of experts and product of experts, and performing various experiments with these architectures.

Multi-Materials-Decomposition

Neighbor2Neighbor--

Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images

Neighbor2Neighbor_Pytorch

This is an unofficial implementation for the paper "NEIGHBOR2NEIGHBOR: SELF-SUPERVISED DENOISING FROM SINGLE NOISY IMAGES"

Non-Local-Means

Python implementation of the Non Local Means algorithm for image denoising.

paper-notes

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

pytorch-resnet-image-denoising

A ResNet architecture for de-noising images using PyTorch.

Recorrupted-to-Recorrupted-Unsupervised-Deep-Learning-for-Image-Denoising

SACNN

Try to reproduce 2020_TMI_SACNN Self-Attention Convolutional Neural Network for Low-Dose CT Denoising with Self-supervised Perceptual Loss Network

senet.pytorch

PyTorch implementation of SENet

the-gan-zoo

A list of all named GANs!

unet-nested-multiple-classification

This repository contains code for a multiple classification image segmentation model based on UNet and UNet++

Unsupervised_denoising

An Unsupervised deep learning approach for real-world image denoising