akharroubi/3D-Data-Essentials

Runnable Python behind my 3D data science tutorials. Point clouds, LiDAR, Gaussian splatting, meshing and spatial AI.

Collect and summarize point cloud sota methods.

Collections of papers, databases, and codes targeted at point cloud quality assessment (PCQA), mesh quality assessment (MQA), 3D model quality assessment (3DQA).

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Open3D: A Modern Library for 3D Data Processing

Official PyTorch implementation of Superpoint Transformer [ICCV'23], SuperCluster [3DV'24 Oral], and EZ-SP [ICRA'26]

[NeurIPS'25] Official repository of Concerto: Joint 2D-3D Self-Supervised Learning Emerges Spatial Representations

Awesome-LLM-3D: a curated list of Multi-modal Large Language Model in 3D world Resources

[ICML'26] Official repository of Utonia: Toward One Encoder for All Point Clouds