A list of papers and datasets about point cloud analysis (processing)
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Updated
May 19, 2023
A list of papers and datasets about point cloud analysis (processing)
🔥PCL(Point Cloud Library)
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
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
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