Sep 27, 2024 · In this paper, we propose a novel point cloud completion approach named SAPCNet to reconstruct complete 3D shapes in a global structure-aware ...
Oct 29, 2023 · In this paper, we propose a novel point cloud completion approach named SAPCNet to reconstruct complete 3D shapes in a global structure-aware manner.
Oct 29, 2023 · In this paper, we propose a novel point cloud completion approach named SAPCNet to reconstruct complete 3D shapes in a global structure-aware ...
In this paper, we propose a novel point cloud completion approach named SAPCNet to reconstruct complete 3D shapes in a global structure-aware manner. To ...
In this paper, we propose a novel point cloud completion approach named SAPCNet to reconstruct complete 3D shapes in a global structure-aware manner. To ...
Point cloud completion aims to completing the geometry and structure of the missing region given the partial point cloud as input. When the missing region ...
In this work, we propose to improve the localization precision of single-stage detectors by explicitly leveraging the struc- ture information of 3D point cloud.
Missing: Completion. | Show results with:Completion.
Nov 27, 2023 · Point cloud completion aims to generate high-resolution point clouds using incomplete point clouds as input and is the foundational task for many 3D visual ...
Feb 2, 2024 · This paper presents SegCompletion, a novel deep neural network, designed to address the challenge of completing point clouds from a partial 3D ...
Dec 29, 2023 · We propose a novel prompt-guided point cloud completion framework, coined P2M2-Net, to enable more controllable and more diverse shape completion.