Robust and Accurate Superquadric Recovery: a Probabilistic Approach

29 November 2021

Papers citing "Robust and Accurate Superquadric Recovery: a Probabilistic Approach"

8 / 8 papers shown

Title
Aligning Instance-Semantic Sparse Representation towards Unsupervised Object Segmentation and Shape Abstraction with Repeatable Primitives Jiaxin Li Hongxing Wang Jiawei Tan Zhilong Ou Junsong Yuan 3DPC 47 0 0 10 Mar 2025
Semantically Safe Robot Manipulation: From Semantic Scene Understanding to Motion Safeguards Lukas Brunke Yanni Zhang Ralf Romer Jack Naimer Nikola Staykov Siqi Zhou Angela P. Schoellig 59 4 0 19 Oct 2024
GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians Shuyi Jiang QiHao Zhao Hossein Rahmani De Wen Soh Jing Liu Na Zhao 3DGS 246 0 0 02 Oct 2024
Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives Tom Monnier Jake Austin Angjoo Kanazawa Alexei A. Efros Mathieu Aubry VGen 40 16 0 11 Jul 2023
Learning-Free Grasping of Unknown Objects Using Hidden Superquadrics Yuwei Wu Weixiao Liu Zhiyang Liu Gregory Chirikjian 33 5 0 11 May 2023
Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans Romain Loiseau Elliot Vincent Mathieu Aubry Loic Landrieu 3DPC 13 3 0 19 Apr 2023
Primitive-based Shape Abstraction via Nonparametric Bayesian Inference Yuwei Wu Weixiao Liu Sipu Ruan Gregory Chirikjian 3DV 3DPC 47 15 0 28 Mar 2022
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,136 0 02 Dec 2016