Superquadric Primitive Decomposition of 3D point clouds via Geometric-Aware Inlier Refinement

arXiv:2609.35725 · cs.CV · Submitted 2026-09-28 · Read on arXiv

cs.CV

Submitted: 2026-09-28

Updated: 2026-09-28

Comments: 19 pages, 11 figures, under review

Code: https://github.com/Tededo02/3D_superquadric_decomposition

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Point Clouds — 28× in this paper · explained in 2 episodes
• Consistency — 22× in this paper · explained in 3 episodes
• Accuracy — 17× in this paper · explained in 1 episode
• Chamfer Distance — 16× in this paper
• Robustness — 13× in this paper · explained in 5 episodes
• Inlier Assignment Error — 10× in this paper
• Local Optimization — 9× in this paper · explained in 2 episodes
• Fidelity — 7× in this paper · explained in 2 episodes
• Hausdorff Distance — 6× in this paper
• Regularization — 6× in this paper · explained in 3 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 3× in this paper
• Graph Construction — 3× in this paper · explained in 3 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Clustering — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Abstraction — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Angular Error — 1× in this paper · explained in 1 episode
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Geometric Aware Inlier Refinement — 1× in this paper
• Objective Function — 1× in this paper · explained in 2 episodes

Sources

• Robust and Accurate Superquadric Recovery: a Probabilistic Approach
• Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives
• Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models