fanxiaohong

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

RCAN

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

CBAM.PyTorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

pytorch-msssim

Fast and differentiable MS-SSIM and SSIM for pytorch.

pytorch_wavelets

Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet

MWCNNv2

Multi-level Wavelet Convolutional Neural Networks

JDet

JDet is an object detection benchmark based on Jittor. Mainly focus on aerial image object detection (oriented object detection).

LAMDA-SSL

30 Semi-Supervised Learning Algorithms

adn

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

Target-Robotics-and-Visions-Journal-Conference

Target journals and conferences in the field of robotics and computer vision.

Deep-Generalized-Unfolding-Networks-for-Image-Restoration

Accepted by CVPR 2022

MS-SSIM_L1_LOSS

Pytorch implementation of MS-SSIM L1 Loss function

MS_SSIM_pytorch

ms_ssim loss function implemented in pytorch

ACDNet

【IJCAI2022】Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction

LEARN

DPDNN_PyTorch

MADUN-ACMMM2021

Memory-Augmented Deep Unfolding Network for Compressive Sensing(ACMMM 2021)

Physics-Model-Data-Driven-Review

Coming soon

COAST

COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing, TIP2021 [PyTorch Code]

DICDNet

【TMI2021】DICDNet: Deep Interpretable Convolutional Dictionary Network for Metal Artifact Reductionin CT Images

MAGIC

HiTDUN

Official implementation of High-Throughput Deep Unfolding Network for Compressive Sensing MRI

odlworkshop

Material for ODL workshop Dec 2017

ADJUST

ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography

Neumann_Networks_PyTorch

Implementation of Neumann Networks in PyTorch for CT reconstruction problems.

Denoising-AMP-MRI

A toolbox for MRI reconstruction based on Denoising-AMP

FASUNet

DAN-Net

A Pytorch implementation of Dual-domain Adaptive-scaling Non-local Network for CT Metal Artifact Reduction.

IDOL-Net

IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction

CmmcSegNet