视觉与机器人

3D 视觉

三维重建、NeRF、Gaussian Splatting、点云和空间智能。

2025-10-21 至 2025-10-21 共收录 7 篇信号源：cs.CV, cs.GR, cs.RO

1. 点云 7 篇

2510.17068 2025-10-21 cs.CV 79%

ProDAT: Progressive Density-Aware Tail-Drop for Point Cloud Coding

Zhe Luo, Wenjing Jia, Stuart Perry

机构 * School of Electrical and Data Engineering, University of Technology Sydney（电子与数据工程学院，悉尼科技大学）

专题命中点云：point cloud(title,abstract)；分类 cs.CV

2504.06751 2025-10-21 cs.CV cs.HC 74%

Visualization of a multidimensional point cloud as a 3D swarm of avatars

Leszek Luchowski, Dariusz Pojda

机构 * Institute of Theoretical and Applied Informatics（理论与应用信息研究所）； Polish Academy of Sciences（波兰科学院）

专题命中点云：point cloud(title)；分类 cs.CV

Comments 26 pages, 13 figures

2510.17686 2025-10-21 cs.CV 57%

Towards 3D Objectness Learning in an Open World

Taichi Liu, Zhenyu Wang, Ruofeng Liu, Guang Wang, Desheng Zhang

机构 * Rutgers University（罗格斯大学）； Tsinghua University（清华大学）； Michigan State University（密歇根州立大学）； Florida State University（佛罗里达州立大学）

专题命中点云：point cloud(abstract)；分类 cs.CV

Comments Accepted by NeurIPS 2025

2510.17237 2025-10-21 cs.RO 57%

Pole-Image: A Self-Supervised Pole-Anchored Descriptor for Long-Term LiDAR Localization and Map Maintenance

Wuhao Xie, Kanji Tanaka

专题命中点云：point cloud(abstract)；分类 cs.RO

Comments 4 pages, technical report

2510.17772 2025-10-21 cs.LG stat.AP 50%

Atlas-based Manifold Representations for Interpretable Riemannian Machine Learning

Ryan A. Robinett, Sophia A. Madejski, Kyle Ruark, Samantha J. Riesenfeld, Lorenzo Orecchia

机构 * Department of Computer Science, University of Chicago（计算机科学系，芝加哥大学）； Pritzker School of Molecular Engineering, University of Chicago（分子工程学院，芝加哥大学）； The College, University of Chicago（学院，芝加哥大学）； School of Engineering at Applied Sciences, Harvard University（应用科学工程学院，哈佛大学）； Department of Medicine, University of Chicago（医学系，芝加哥大学）； CZ Biohub Chicago, LLC（芝加哥CZ生物枢纽有限公司）

专题命中点云：point cloud(abstract)

2510.16509 2025-10-21 stat.ML math.DS 50%

A Bayesian Framework for Symmetry Inference in Chaotic Attractors

Ziad Ghanem, Chang Hyunwoong, Preskella Mrad

专题命中点云：point cloud(abstract)

2506.21206 2025-10-21 math.NA cs.NA 50%

Robust and efficient pre-processing techniques for particle-based methods including dynamic boundary generation

Niklas S. Neher, Erik Faulhaber, Sven Berger, Christian Weißenfels, Gregor J. Gassner, Michael Schlottke-Lakemper

专题命中点云：point cloud(abstract)

Journal ref Comput. Phys. Commun. 318 (2026) 109898