weimingzhe Goto Github PK

annot3d

Interactive annotation tool for 3D TIFF volumes with planar views, integrated automatic UNET predictions and live volume rendering for semi-automated semantic binary annotations.

bayesian-image-super-resolution

A Bayesian framework for Multi-Frame Image Super-Resolution. Based on "Bayesian Image Super-Resolution" (ME Tipping and CM Bishop, NeurIPS 2003)

bbdm

BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models

clearmap2

ClearMap 2.0 with WobblyStitcher, TubeMap and CellMap

convolutional-sparse-representation-with-3d-total-variation

csnet-pytorch

Pytorch code for paper "Deep Networks for Compressed Image Sensing" and "Image Compressed Sensing Using Convolutional Neural Network"

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

dft-wiener-deconvolution-with-psf

Python2 (OpenCV, NumPy) application to refocus blurred images using Wiener deconvolution.

diffusion-posterior-sampling

Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"

diffusion_demo

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dpr-project

ed_denoising

Electron density maps denoising algorithms implementation

ee367_project_wnnm_denoising

Stanford EE367 (Computational Imaging) Final Project: Implementation of the Weighted Nuclear Norm Minimization for image denoising.

egsde

Official implementation for "EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations" (NIPS 2022)

f-conv

Code of TPAMI 2022

fasttvd

Fast Total Variation Denoising and Speckle Denoising Utilizing GPUs and Multi-Core CPUs

frsvt

I implemented the fllowing article by Matlab.Refrence:Oh T H, Matsushita Y, Tai Y W, et al. Fast Randomized Singular Value Thresholding for Low-rank Optimization[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2015, PP(99):1-1.Abstract:Rank minimization can be converted into tractable surrogate problems, such as Nuclear Norm Minim

gputools

GPU accelerated image/volume processing in Python

handheld-multi-frame-super-resolution

An implementation of the paper Handheld Multi-Frame Super-Resolution

handheld-multi-frame-super-resolution-1

Handheld Multi-image Super-resolution [Wronski et al., SIGGRAPH19]. Non-official GPU-supported Python implementation.

htv-learn

Hessian Total-Variation Regularization for Supervised Learning

idm

idr

Self-Supervised Image Denoising via Iterative Data Refinement (CVPR2022)

machine-learning-collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

mrtrix3

MRtrix3 provides a set of tools to perform various advanced diffusion MRI analyses, including constrained spherical deconvolution (CSD), probabilistic tractography, track-density imaging, and apparent fibre density

nnunet

plug_and_play_admm

A simple Pytorch implementation of plug and play ADMM with examples

polaris