LIDARLearn, a new open-source PyTorch library, unifies 56 3D point cloud deep learning models with automatic publication-ready report generation.

First unified framework supporting a large collection of 3D point cloud models in one place with built-in cross-validation

Includes 56 ready-to-use configurations covering supervised, self-supervised, and parameter-efficient fine-tuning methods

Automatically generates publication-ready LaTeX PDFs with clean tables, statistical tests, and diagrams after training

Provides benchmarks on ModelNet40, ShapeNet, S3DIS, and remote sensing datasets (STPCTLS and HELIALS)

Designed for researchers in 3D point cloud learning, 3D computer vision, and remote sensing applications