Spatial AI Notes & Deep Dives

3D Visualization & Web

Point Cloud to Mesh Complete Guide

The complete guide to going from a raw point cloud to a clean, watertight 3D mesh in Python. Estimate normals, run Poisson in Open3D, trim the blobs, compare scans, and render millions of points.

19 Aug 2026 Prof. Florent Poux

3D Computer Vision

Open-Vocabulary 3D Segmentation Complete Guide

Label a 3D point cloud with any word you type. This complete guide walks the open-vocabulary 3D segmentation stack in Python: pretrained SAM cuts the scene, CLIP scores each region, and a scene graph lets an LLM answer questions about the space.

12 Aug 2026 Prof. Florent Poux

3D Deep Learning

3D Deep Learning Complete Guide

The complete 101 on 3D deep learning in Python: why point clouds break ordinary networks, permutation invariance, honest data prep, and the road from PointNet to KPConv.

05 Aug 2026 Prof. Florent Poux

3D Computer Vision

3D Point Cloud Segmentation Complete Guide

A complete, practical 101 on 3D point cloud segmentation in Python: what it is, the method families, real Open3D code for RANSAC and DBSCAN, and the parameters that decide your results.

29 Jul 2026 Prof. Florent Poux

3D Reconstruction & Photogrammetry

3D Reconstruction Complete Guide

A folder of phone photos already holds a 3D model. This complete guide walks 3D reconstruction in Python end to end, from parallax and photogrammetry through AI depth to Gaussian splatting, with the real cost of each spelled out plainly.

22 Jul 2026 Prof. Florent Poux

LiDAR & Remote Sensing

LiDAR and Point Cloud Processing Complete Guide

The complete 101 guide to LiDAR point cloud processing in Python. Read LAS files with laspy, index with an Open3D KDTree, filter ground with CSF, build a DTM.

15 Jul 2026 Prof. Florent Poux