jtpils Goto Github PK
Type: User
Company: Wuhan University
Type: User
Company: Wuhan University
Auto-encoding & Generating 3D Point-Clouds.
A las spatial indexing implementation in Python.
Layered 3D graphs aims to plot 3D force directed and layered graphs on the basis of a "pre-requisite of" relationship between nodes. It borrows the philosophy from the paper "Latitude and Longitude of a Semantic System From a Directed Graph of Dependencies" by Nagarguna G. et al.
Code accompanying the paper "Layer-structured 3D Scene Inference via View Synthesis", ECCV 2018
Programmatic manipulation of chip, package, and board layouts, with exporting to 3D field solvers and fly-through viewers.
Official PyTorch Implementation of Image Generation from Layout - CVPR 2019
Torch implementation for CVPR 18 paper: "LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image"
PyTorch implementation for LayoutNet v2 in the paper: "3D Manhattan Room Layout Reconstruction from a Single 360 Image"
Rust implementation/translation of LAZ (Laszip) compression
[AAAI'20] LCD: Learned Cross-Domain Descriptors for 2D-3D Matching
End-to-End Wireframe Parsing
Topic modeling with latent Dirichlet allocation using Gibbs sampling
This project is for the CVPR paper "Using Locally Corresponding CAD Models for Dense 3D Reconstructions from a Single Image"
Linked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierarchical Features
LDLS (Label Diffusion LiDAR Segmentation) algorithm for instance segmentation of LiDAR point clouds.
ROS code for LDLS (Label Diffusion Lidar Segmentation)
3D point cloud denoising using graph Laplacian regularization of a low dimensional manifold model
Camera-LIDAR Bimodal Lane Detection, Recognition and Tracking
A Robust Leaf Surface Reconstruction Method for 3D Plant Phenotyping
Learning to Cluster Faces on an Affinity Graph (CVPR 2019)
learn cgal by demo
Learning to Estimate Indoor Lighting from 3D Objects. 3DV 2018
A collection of my learning notes
廖星宇《深度学习入门之PyTorch》代码实践
A learned sampling approach for point clouds
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation (ECCV 2018)
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.