mimalloc is a compact general purpose allocator with excellent performance.

A flexible submap-based framework towards spatio-temporally consistent volumetric mapping and scene understanding.

Adaptive Surface Reconstruction for 3D Data Processing

3D Scanning & Spatial Learning course: Volumetric Fusion project

CVPR 2021 Oral paper "LED2-Net: Monocular 360˚ Layout Estimation via Differentiable Depth Rendering" official PyTorch implementation.

This is PyTorch implementation of our paper "LGT-Net: Indoor Panoramic Room Layout Estimation with Geometry-Aware Transformer Network".(CVPR'22)

3D Object Detection with Deep Neural Networks for Automatic As-built Reconstruction

Accelerating 3D Indoor Space Construction from Point Clouds with Deep Learning

Fast, efficient and accurate multi-resolution, multi-sensor 3D occupancy mapping

Fast simplification of 3D surface meshes

Little helper project that builds a BVH over triangles, and allows for querying closest surface point for given input point

CT scanner simulation, display objects by using ray‑tracing through volumes of variable density

Python bindings for Computed Tomography Library (CTL)

CT(Computed Tomography) Images to make 3D-Voxel-Model Viewer.

A command line tool to transform a DICOM volume into a 3d surface mesh (obj, stl or ply). Several mesh processing routines can be enabled, such as mesh reduction, smoothing or cleaning. Works on Li…

A framework for the efficient representation and analysis of simplicial complexes with arbitrary domains and embedded in arbitrary dimensions

Micro-Structures Graph-Based Point Cloud Registration for Balancing Efficiency and Accuracy

Depthmap fusion with depth and normal consistency check

Massively Parallel Multiview Stereopsis by Surface Normal Diffusion

🚀 Deep learning includes superpoint-superglue(C++, TensorRT), and traditional algorithms include zkaze, surf, ORB, etc.

ICRA2023, A real-time LiDAR simultaneous localization and meshing method.

An voxel-based multiview point clouds refinement via factor graph optimization

GlobalMatch: Registration of forest terrestrial point clouds by global matching of relative stem positions [ISPRS 2023]

A novel fast approximate least squares normal estimator using the structural information of certain LiDAR, is fast and accurate compared to PCL, and meets the real-time requirements of the LIO system.

Free and open source semantic segmentation of 3D point clouds, fast and memory efficient.

Accurate, detailed, and automatic modelling of laser-scanned trees

Effectively Detecting Loop Closures using Point Cloud Density Maps

Portable wrapper for SIMD and vector instructions written in C++11. Compatible with NEON, SSE, AVX, AVX-512 and SVE (length specific).