3D-Machine-Learning

Why we included this project

This repository maps out the 3D machine learning literature the way a well-kept set of study notes should. It started as the maintainer's personal notes for triaging new papers and has grown into a structured index spanning point clouds, voxel grids, meshes, multi-view images, and primitive-based methods. Papers and tools are grouped by task, so finding everything on pose estimation, semantic segmentation, or scene reconstruction is straightforward rather than a crawl through scattered links. Each entry carries an icon showing which 3D representation it uses, which helps when you only care about point-cloud or mesh work. The course and dataset links round it out as a starting point for anyone building background before picking a method to implement.