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).

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)

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

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

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

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

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

[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

Tutorials of deep learning-based 3D computer vision.

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

This repository contains the implementation of our novel approach associated with the paper "Don't Splat Your Gaussians" to modeling and rendering scattering and emissive media using volumetric primitives with the Mitsuba renderer.