aoxiangfan Goto Github PK
Name: AoxiangFan
Type: User
Company: Wuhan University
Bio: Master student @WuhanUniversity, China. Interested in machine learning and 3D computer vision.
Location: Wuhan, China
Name: AoxiangFan
Type: User
Company: Wuhan University
Bio: Master student @WuhanUniversity, China. Interested in machine learning and 3D computer vision.
Location: Wuhan, China
Homepage of AoxiangFan
Code implementation of our IEEE TNNLS paper 'Smoothness-Driven Consensus Based on Compact Representation for Robust Feature Matching'.
Official PyTorch Implementation for Diffusion Hyperfeatures, NeurIPS 2023
PyTorch code and models for the DINOv2 self-supervised learning method.
Implementation of ECCV 2020 paper "Geometric Estimation via Robust Subspace Recovery" and IEEE TPAMI 2021 paper "Efficient Deterministic Search with Robust Loss Functions for Geometric Model Fitting"
Code implementation of CVPR 2022 paper "Coherent Point Drift Revisited for Non-Rigid Shape Matching and Registration"
Code for LERF: Language Embedded Radiance Fields
A Python implementation of the Locality Preserving Matching (LPM) method for pruning outliers in image matching.
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
[ICCV 2019] Monocular depth estimation from a single image
Nerfbusters project
A collaboration friendly studio for NeRFs
Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)
A numpy-based implementation of RANSAC for fundamental matrix and homography estimation. The degeneracy updating and local optimization components are included and optional.
A MATLAB toolkit of classic RANSAC methods for fundamental matrix and homography estimation, including optional local optimization and degeneracy upadting component.
[ICCV 2023] Pytorch implementation of "S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields".
Codes and models - "SDGMNet: Statistic-based Dynamic Gradient Modulation for Local Descriptor Learning"
Official PyTorch implementation of SegFormer
[TPAMI'23] Unifying Flow, Stereo and Depth Estimation
Monocular Depth Prediction
Official code of VolRecon (CVPR 2023)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.