Residual Primitive Fitting of 3D Shapes with SuperFrusta

📝 Original Info

• Title: Residual Primitive Fitting of 3D Shapes with SuperFrusta
• ArXiv ID: 2512.09201
• Date: 2025-12-09
• Authors: Aditya Ganeshan, Matheus Gadelha, Thibault Groueix, Zhiqin Chen, Siddhartha Chaudhuri, Vladimir Kim, Wang Yifan, Daniel Ritchie

📝 Abstract

Figure 1. (Left) Primitive assemblies inferred by our method capture a wide range of shapes, including hollow forms (vase), curved & toroidal parts (bike), intricate geometry (ladder, robot), and smooth organic shapes (crab). (Right) Our approach shifts the reconstruction-parsimony Pareto frontier: compared to state-of-the-art methods, Marching Primitives [18] (MPS) and Primitive Anything [45] (PA), we achieve markedly lower reconstruction error using significantly fewer primitives.

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