Blog - 3D Geodata Academy Spatial AI Notes & Deep Dives

3D Computer Vision

3D Point Cloud Labeling from Photos with Python (and why AI can’t design it for you)

A complete Python pipeline for 3D point cloud labeling from phone photos using interactive painting, pinhole projection, and KD-tree fusion — no GPU required.

03 Apr 2026 Prof. Florent Poux

Spatial AI & Automation

3D Pipeline Architecture: A Founder’s Blueprint

It was a Tuesday when I got the call. A €40,000 project was completely stalled, burning cash every hour. The reason? The one person who knew the specific sequence of clicks to get data from their laser scanner software into AutoCAD was on vacation. The entire, expensive, high-tech 3D data pipeline was held hostage by […]

17 Oct 2025 Prof. Florent Poux

3D Reconstruction & Photogrammetry

Multi-View Engine for 3D Generative AI Models (Python Tutorial)

Generate perfect multi-view 3D training data without cameras. Mathematical algorithms create optimal viewpoints for Gaussian Splatting in minutes, not days. Stop Shooting Photos for 3D AI Training Data (Use This Instead) I have a fun story to share. I watched a team spend €15,000 on camera equipment and two weeks of labor to capture training […]

22 Sep 2025 Prof. Florent Poux

3D Computer Vision

3D Scene Graphs for Spatial AI with NetworkX and OpenUSD

Learn to build intelligent 3D scene graphs from point clouds using Python, NetworkX, and OpenUSD. Complete tutorial access with LLM integration for spatial AI. The hardest part of spatial AI isn’t capturing the data. It’s making that data actually intelligent. You’ve got millions of perfectly labeled 3D points, but when you try to build something […]

30 Jun 2025 Prof. Florent Poux

3D Reconstruction & Photogrammetry

3D Reconstruction Pipeline: Photo to Model Workflow Guide

The 3D Reconstruction pipeline, to get from 2D photographs to 3D models follows a structured path. This path consists of distinct steps that build upon each other to transform flat images into spatial information. Understanding this pipeline is crucial for anyone looking to create high-quality 3D reconstructions. Let me explain… Most people think 3D reconstruction […]

21 Apr 2025 Prof. Florent Poux

Point Cloud Processing

Synthetic Point Cloud Generation of Rooms: Complete 3D Python Tutorial

This tutorial teaches you how to develop a Synthetic point cloud generation engine in Python using NumPy and Open3D, enabling the creation of unlimited labeled 3D data for machine learning. By automating the process, you can save time, reduce costs, and generate realistic training datasets without expensive equipment or manual labeling.

14 Apr 2025 Prof. Florent Poux

Multi-View Engine for 3D Generative AI Models (Python Tutorial)

By Prof. Florent Poux 9 min read Published 22 Sep 2025

Generate perfect multi-view 3D training data without cameras. Mathematical algorithms create optimal viewpoints for Gaussian Splatting in minutes, not days.…

Notes & Deep Dives

Longer-form notes from my desk. Point clouds, neural rendering, spatial AI. The things I'd rather write down than explain twice.

3D Point Cloud Labeling from Photos with Python (and why AI can’t design it for you)

3D Pipeline Architecture: A Founder’s Blueprint

Multi-View Engine for 3D Generative AI Models (Python Tutorial)

3D Scene Graphs for Spatial AI with NetworkX and OpenUSD

3D Reconstruction Pipeline: Photo to Model Workflow Guide

Synthetic Point Cloud Generation of Rooms: Complete 3D Python Tutorial

3D Point Cloud Labeling from Photos with Python (and why AI can’t design it for you)

3D Pipeline Architecture: A Founder’s Blueprint

Multi-View Engine for 3D Generative AI Models (Python Tutorial)

3D Scene Graphs for Spatial AI with NetworkX and OpenUSD

3D Reconstruction Pipeline: Photo to Model Workflow Guide

Synthetic Point Cloud Generation of Rooms: Complete 3D Python Tutorial

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