Polygon mesh repairing: An application perspective

M Attene, M Campen, L Kobbelt - ACM Computing Surveys (CSUR), 2013 - dl.acm.org
Nowadays, digital 3D models are in widespread and ubiquitous use, and each specific
application dealing with 3D geometry has its own quality requirements that restrict the class …

Urban 3D modeling using mobile laser scanning: A review

C Wang, C Wen, Y Dai, S Yu, M Liu - Virtual Reality & Intelligent Hardware, 2020 - Elsevier
Mobile laser scanning (MLS) systems mainly comprise laser scanners and mobile mapping
platforms. Typical MLS systems are able to acquire three-dimensional point clouds with 1-10 …

Pcn: Point completion network

W Yuan, T Khot, D Held, C Mertz… - … conference on 3D vision …, 2018 - ieeexplore.ieee.org
Shape completion, the problem of estimating the complete geometry of objects from partial
observations, lies at the core of many vision and robotics applications. In this work, we …

Morphing and sampling network for dense point cloud completion

M Liu, L Sheng, S Yang, J Shao, SM Hu - Proceedings of the AAAI …, 2020 - ojs.aaai.org
Abstract 3D point cloud completion, the task of inferring the complete geometric shape from
a partial point cloud, has been attracting attention in the community. For acquiring high …

Shape completion using 3d-encoder-predictor cnns and shape synthesis

A Dai, C Ruizhongtai Qi… - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
We introduce a data-driven approach to complete partial 3D shapes through a combination
of volumetric deep neural networks and 3D shape synthesis. From a partially-scanned input …

Scancomplete: Large-scale scene completion and semantic segmentation for 3d scans

A Dai, D Ritchie, M Bokeloh, S Reed… - Proceedings of the …, 2018 - openaccess.thecvf.com
We introduce ScanComplete, a novel data-driven approach for taking an incomplete 3D
scan of a scene as input and predicting a complete 3D model along with per-voxel semantic …

Proxyformer: Proxy alignment assisted point cloud completion with missing part sensitive transformer

S Li, P Gao, X Tan, M Wei - … of the IEEE/CVF conference on …, 2023 - openaccess.thecvf.com
Problems such as equipment defects or limited viewpoints will lead the captured point
clouds to be incomplete. Therefore, recovering the complete point clouds from the partial …

Diffcomplete: Diffusion-based generative 3d shape completion

R Chu, E Xie, S Mo, Z Li, M Nießner… - Advances in Neural …, 2024 - proceedings.neurips.cc
We introduce a new diffusion-based approach for shape completion on 3D range scans.
Compared with prior deterministic and probabilistic methods, we strike a balance between …

Spatial information enhancement network for 3D object detection from point cloud

Z Li, Y Yao, Z Quan, J Xie, W Yang - Pattern Recognition, 2022 - Elsevier
LiDAR-based 3D object detection pushes forward an immense influence on autonomous
vehicles. Due to the limitation of the intrinsic properties of LiDAR, fewer points are collected …

Automatic multi-direction slicing algorithms for wire based additive manufacturing

D Ding, Z Pan, D Cuiuri, H Li, N Larkin… - Robotics and Computer …, 2016 - Elsevier
One of the key challenges in Additive Manufacturing is to develop a robust algorithm to slice
CAD models into a set of layers which requires minimal support structures. This paper …