Data-Centric Taxonomy Unifies 3D Vision Representations and Benchmarks

A survey paper maps point clouds, meshes, voxels, and 3D Gaussians into a single conceptual framework alongside their acquisition pipelines, dataset design patterns, and supervision regimes including 2D-supervised 3D learning and implicit neural representations. Aimed at addressing fragmentation across benchmarks and representations in the field.