Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image

Torch implementation of our CVPR 18 paper: "LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image"

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)

A simple OpenCASCADE Qt demo.

3D CAD/CAM package for python

Open CASCADE Technology (OCCT) is an open-source software development platform for 3D CAD, CAM, CAE.

OpenGR: A C++ library for 3D Global Registration

A curated list of awesome computer vision resources

[PyTorch] Official Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164

Rapid Exploration with Multiple Unmanned Aerial Vehicles (UAV)

Reproduction project for the methodology explained in the MonteFloor paper: https://arxiv.org/abs/2103.11161

Code for "PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion Models", NeurIPS 2023

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Code for "HEAT: Holistic Edge Attention Transformer for Structured Reconstruction", CVPR 2022

PolyGNN: Polyhedron-based graph neural network for 3D building reconstruction from point clouds [ISPRS 2024]

Translation for Trilium Notes. Trilium Notes 中文适配, 体验优化

Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scal…

Main repository for Vispy

Point Cloud Mamba: Point Cloud Learning via State Space Model

Traces the boundary of a set of points belonging to an aerial LiDAR scan of a building (part).

A simple and efficient 3D line detection algorithm for large scale unorganized point cloud

scan to bim pipieline

Scan-to-BIM toolbox for Grasshopper Rhino including mesh/pcd segmentation, classification and reconstruction

A repo prepared for paper: Automated integration of as-is point cloud information with as-planned BIM for interior construction

Codebase for "FULLY AUTOMATED SCAN-TO-BIM VIA POINT CLOUD INSTANCE SEGMENTATION"

iterative closest point

fit a 3d box to a point cloud

Using k-order Markov Path Optimization to fit shapes to sparse point cloud data.