Code Monkey home page Code Monkey logo

ZhiChen's Projects

acmh icon acmh

A simple yet effective PatchMatch MVS method, which is the base model of ACMM and ACMP.

acmm icon acmm

Multi-Scale Geometric Consistency Guided Multi-View Stereo

acmmp icon acmmp

Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo

acmp icon acmp

Planar Prior Assisted PatchMatch Multi-View Stereo

d2-net icon d2-net

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

detarnet icon detarnet

DetarNet: Decoupling Translation and Rotation by Siamese Network for Point Cloud Registration (AAAI2022)

fcgf icon fcgf

Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

geotransformer icon geotransformer

Geometric Transformer for Fast and Robust Point Cloud Registration

glha icon glha

Cascade Network with Guided Loss and Hybrid Attention for Finding Good Correspondences, AAAI2021

jsnet icon jsnet

JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds, AAAI2020

lisrd icon lisrd

Local Invariance Selection at Runtime for Descriptors (LISRD)

pointdsc icon pointdsc

[PyTorch] Official implementation of CVPR2021 paper "PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency". https://arxiv.org/abs/2103.05465

rectified-features icon rectified-features

[ECCV 2020] Single image depth prediction allows us to rectify planar surfaces in images and extract view-invariant local features for better feature matching

rmi icon rmi

This is the code for the NeurIPS 2019 paper Region Mutual Information Loss for Semantic Segmentation.

sc2-pcr icon sc2-pcr

SC2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration (CVPR 2022)

sc2-pcr-plusplus icon sc2-pcr-plusplus

SC^2-PCR++: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration (TPAMI)

superpoint icon superpoint

Efficient neural feature detector and descriptor

tfmatch icon tfmatch

TensorFlow implementation of GeoDesc (ECCV'18), ContextDesc (CVPR'19) and ASLFeat (CVPR'20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.