chuanjiangcui

awesome-attention-mechanism-in-cv

计算机视觉中用到的注意力模块和其他即插即用模块PyTorch Implementation Collection of Attention Module and Plug&Play Module

DIP-denosing

Addressing the relationship between Deep image prior and effective degrees of freedom, DIP-SURE with STE(stochestic temporal ensemble) shows reasonable result on single image denoising.

DPIR

Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)

fastRPCA

Matlab code for all variants of robust PCA and SPCP

GP-DIP

Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)

hs-sr-tvtv

Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization (ICIP 2021)

LibADMM

A Library of ADMM for Sparse and Low-rank Optimization

machine_learning

MRI-Reconstruction-with-Sparse-Optimization

Magnetic resonance imaging (MRI) images are known to be sparse. This is an implementation using non-convex penalty function that encourages sparsity.

NAS-DIP-pytorch

[ECCV 2020] NAS-DIP: Learning Deep Image Prior with Neural Architecture Search

neural_network_papers

记录一些读过的论文，给出个人对论文的评分情况并简述论文insight

Noisy-As-Clean-TIP2020

PyTorch Code for "Noisy-As-Clean: Learning Self-supervised Denoising from Corrupted Image", TIP 2020.

proximal

Sample implementations of proximal operators

supplement_deep_decoder

Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

urus-mri-recon

Ultrafast Reconstruction of Under-Sampled (URUS) 3D Cardiac MRI via Deep Complex Convolutional Neural Network