A list of papers and datasets about point cloud analysis (processing)

🔥PCL（Point Cloud Library）点云库学习记录

A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).

Direct3D‑S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention

Papers, code and datasets about deep learning for 3D Object Detection.

A list of resources about deep learning solutions on 3D shape processing

Official implentation of "Ghost on the Shell: An Expressive Representation of General 3D Shapes" (ICLR 2024 Oral)

Code release for "Learning Shape Abstractions by Assembling Volumetric Primitives " (CVPR 2017)

Official Code for 'TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction' (ICCV 2025)

Pytorch Implementation of https://github.com/shubhtuls/volumetricPrimitives

ElATools: A tool for analyzing anisotropic elastic properties of the 2D and 3D materials

Shape-Guided Dual-Memory Learning for 3D Anomaly Detection [ICML2023]

🏰 Sketch- and image-based system for 3D representation and documentation of cultural heritage sites

[NeurIPS 2023] Implementation of "Template-free Articulated Neural Point Clouds for Reposable View"

Sold in Amazon as Textbook 🔛 Springer Lecture Note Series "Advances in Computer Science" 🔛 2019 IEEE Computer Vision Conference

This repository contains the SemanticRail3D dataset, a high-quality 3D point cloud dataset for railway infrastructure segmentation and classification. It consists of 438 point clouds, each covering 200 meters of track, totaling 2.8 billion points labeled into 11 semantic classes.

Tutorials of deep learning-based 3D computer vision.

👷 Creating a simplified 3D graphic representation of a relief landscape using minilibX