3D Models from Any Image | Ultimate Python Tutorial (2026)

3D Web Viewer → https://learngeodata.eu/apps/viewers/gltf-viewer/
Get 3D Assets → https://learngeodata.eu/3d-newsletter/

Learn to create photorealistic 3D models from single images using Python. Complete workflow with code, perfect for 3D reconstruction and AI applications.

⏱️ TIMESTAMPS:
[00:00] Intro & Demo
[00:38] Context: Photogrammetry vs AI
[03:07] Step 0: Initialization & Datasets
[04:42] Installation Guide
[07:48] Step 1: Load DA3 Model
[08:18] Step 2: Load Images
[09:06] Step 3: Model Inference
[10:01] Step 4: Depth to 3D Point Cloud
[11:09] Multi-View Merging
[12:08] Comparison with Photogrammetry
[13:06] Step 5: 3D Cleaning
[14:43] Testing Scenarios (Chair, AI, Car)
[22:50] Step 6: Interactive 3D GUI
[24:00] Step 7 & 8: Alignment Control & ICP
[27:27] Step 9: Planar Detection
[28:42] Step 10: 3D Object Detection
[30:44] Step 11: Segmentation Merging
[33:59] Step 12: Voxel Meshing
[38:16] Step 13: Gaussian Splatting Export
[40:08] Step 13b: GLTF Export
[40:53] Step 14: Export Construction Data
[41:30] Web Visualization
[45:55] Future Perspectives

🙋 FOLLOW ME
Linkedin: https://www.linkedin.com/in/florent-poux-point-cloud/
Medium: https://medium.com/@florentpoux

#GaussianSplatting #BlenderPython #3DAI #ComputerVision #MachineLearning

WHO AM I?
If we haven’t yet before - Hey 👋 I’m Florent, a professor-turned-entrepreneur, and I’ve somehow become one of the most-followed 3D experts. Through my videos here on this channel and my writing, I share evidence-based strategies and tools to help you be better coders and 3D innovators.

Видео 3D Models from Any Image | Ultimate Python Tutorial (2026) канала Florent Poux