A tool for generating .pex (Python EXecutable) files, lock files and venvs.

Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation".

you can use TRELLIS in comfyUI for img to 3D

Official Implementation of CVPR24 highligt paper: Matching Anything by Segmenting Anything

HunyuanVideo: A Systematic Framework For Large Video Generation Model

XoFTR is a cross-modal cross-view method for local feature matching between thermal infrared (TIR) and visible images.

「CNote」一份涵盖大部分学习 C 语言所需要掌握的核心知识，致力于打造最易懂的 C语言入门教程，让天下没有难学的 C语言。（包含C语言教程、C语言精华文章）

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!

Personal Wiki Documents

🌍 针对小白的算法训练 | 包括四部分：①.大厂面经 ②.力扣图解 ③.千本开源电子书 ④.百张技术思维导图（项目花了上百小时，希望可以点 star 支持，🌹感谢~）推荐免费ChatGPT使用网站

Code for "Are Local Features All You Need for Cross-Domain Visual Place Recognition?" CVPR IMW 2023.

This repository contains some basic approaches of remote sensing image processing

Code for "LGFCTR: Local and Global Feature Transformer for Image Matching"

A feature-based registration algorithm for multi-source images

Image registration algorithm. Includes SIFT, SAR-SIFT,PSO-SIFT.

This repository contains the training code for SuperGlue. Uses COCO dataset by generating random homographies.

Superpoint and Superglue training and testing code, also some traditional method (SIFT and ORB)

A research protocol for deep graph matching.

The relocalization task aims to estimate the 6-DoF pose of a novel (unseen) frame in the coordinate system given by the prior model of the world.

本人的科研经验

Computer Vision - Local Features (HARRIS, MSER, SIFT, PCA-SIFT, GLOH)

[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors.