"Neural Attenuation Fields for Sparse-View CBCT Reconstruction" (MICCAI 2022 Oral)

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

Python and MATLAB scripts for computing reconstruction from an openly available X-ray data set

[TMI 2024] Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction

low-dose-CBCT image enhancement

An implementation for generating simulated dataset for CBCT scans

CBCT2CT

CBCT segmentation with image processing and machine learning approaches

Convert CBCT images to CT like images

COLMAP - Structure-from-Motion and Multi-View Stereo

Official repository of NeuMan: Neural Human Radiance Field from a Single Video (ECCV 2022)

Code release for NeRF (Neural Radiance Fields)

"Structure-Aware Sparse-View X-ray 3D Reconstruction" (CVPR 2024) - A Toolbox for CT reconstruction and X-ray Novel View Synthesis

卡码网-23种设计模式精讲，每种设计模式都配套代码练习题，支持 Java，CPP，Python，Go🔥

Native port of Redis for Windows. Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Se…

flamingo 一款高性能轻量级开源即时通讯软件

从零开始的 JSON 库教程

🔥 Linux下C++轻量级WebServer服务器

A tiny KV storage based on skiplist written in C++ language| 使用C++开发，基于跳表实现的轻量级键值数据库🔥🔥 🚀

Tinyhttpd 是J. David Blackstone在1999年写的一个不到 500 行的超轻量型 Http Server，用来学习非常不错，可以帮助我们真正理解服务器程序的本质。官网:http://tinyhttpd.sourceforge.net

C/C++写的小游戏： 2048、FlappyBird、通讯录、终端 IM、 界面 IM、仿 QQ 简版聊天

计算机自学指南

A global shortcut/hotkey for Desktop Qt-Applications

一款极简的截图工具(支持 Win，Mac，Linux)

Qt 之 GUI 控件使用 / 网络 / 架构原理 / 运行机制理解；DTK 重绘控件方式的框架解析；IDE 技巧之 Visual Studio / Qt Creator；此为系列文章教程

学习笔记整理📚

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, in…

TinySTL is a subset of STL(cut some containers and algorithms) and also a superset of STL(add some other containers and algorithms)

C++ 资源大全中文版，标准库、Web应用框架、人工智能、数据库、图片处理、机器学习、日志、代码分析等。由「开源前哨」和「CPP开发者」微信公号团队维护更新。