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   Articles with "cloud completion" as a keyword



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Coupling Point Cloud Completion and Surface Connectivity Relation Inference for 3D Modeling of Indoor Building Environments

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recommendations! Published in 2018 at "Journal of Computing in Civil Engineering"

DOI: 10.1061/(asce)cp.1943-5487.0000776

Abstract: AbstractDue to occlusions and limited measurement ranges, three-dimensional (3D) sensors are often not able to obtain complete point clouds. Completing missing data and obtaining spatial relations ... read more here.

Keywords: coupling point; surface connectivity; cloud completion; completion surface ... See more keywords

An Approach to Industrial Part Grasping Based on Point Cloud Completion and Skeleton Guidance

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3631328

Abstract: To address the issue of point cloud incompleteness in industrial scenarios caused by insufficient lighting and occlusions, as well as the limitations of existing grasp pose generation methods that inadequately account for the geometric characteristics… read more here.

Keywords: point; cloud completion; point cloud; part ... See more keywords

CCT-Net: Contour Collaborative Transformer for Point Cloud Completion

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recommendations! Published in 2025 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2025.3615139

Abstract: Point cloud completion aims to recover missing regions from the partial point cloud collected by sensors. Existing methods typically extract local features from the input point cloud to recover its regional details. However, they ignore… read more here.

Keywords: contour; point; cloud completion; point cloud ... See more keywords

Partial-to-Partial Point Generation Network for Point Cloud Completion

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recommendations! Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2022.3210300

Abstract: Point cloud completion aims at predicting dense complete 3D shapes from sparse incomplete point clouds captured from 3D sensors or scanners. It plays an essential role in various applications such as autonomous driving, 3D reconstruction,… read more here.

Keywords: point cloud; cloud completion; partial point; point ... See more keywords

Mutual Information Maximization Based Similarity Operation for 3D Point Cloud Completion Network

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recommendations! Published in 2022 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2022.3162139

Abstract: Reconstructing the incomplete point cloud into the complete and uniform one is a fundamental task in 3D point cloud processing. Some existing studies have explored the use of deep learning networks and representation learning to… read more here.

Keywords: point cloud; cloud completion; similarity; point ... See more keywords

A Novel GAN-Based Point Cloud Completion Network for 3D Object Enhancement

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recommendations! Published in 2025 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2025.3577120

Abstract: Three-dimensional (3D) point clouds are essential for representing traffic scenes in autonomous driving, yet incompletion often occurs due to sensor angle limitations and signal occlusions. Point cloud completion focuses on generating the missing parts of… read more here.

Keywords: point; cloud completion; network; point cloud ... See more keywords

Dense Point Cloud Completion Based on Generative Adversarial Network

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recommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2021.3105551

Abstract: Point cloud completion aims to reconstruct complete point clouds from partial point clouds, which is widely used in various fields such as autonomous driving and robotics. Most existing methods are sparse point cloud completion, where… read more here.

Keywords: point clouds; global feature; cloud completion; point cloud ... See more keywords

PS-Net: Point Shift Network for 3-D Point Cloud Completion

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recommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3198491

Abstract: Point cloud completion aims to infer the complete point clouds from incomplete ones, which is used in remote sensing applications such as reconstructing and autonomous driving. However, most existing methods cannot recover accurate structure details… read more here.

Keywords: point cloud; cloud completion; shift; point ... See more keywords

Multi-Dimensional Graph Interactional Network for Progressive Point Cloud Completion

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recommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2022.3227994

Abstract: Point cloud completion refers to inferring the complete and visually plausible shape from a partial input. Existing point cloud completion methods focus on recovering the global integrity of partial point clouds but lack local structural… read more here.

Keywords: point cloud; cloud completion; graph; point ... See more keywords

Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion Processing and Analysis

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recommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2022.3195555

Abstract: Point cloud completion is a generation and estimation issue derived from the partial point clouds, which plays a vital role in the applications of 3D computer vision. The progress of deep learning (DL) has impressively… read more here.

Keywords: point cloud; cloud completion; deep learning; point ... See more keywords

RLGrid: Reinforcement Learning Controlled Grid Deformation for Coarse-to-Fine Point Cloud Completion

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recommendations! Published in 2025 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2023.3318327

Abstract: Many point cloud completion methods typically rely on two steps: coarse generation and 2D grid deformed fine output. However, in the fine generation, the expansion range (2D grid scale) required by each point cloud sample… read more here.

Keywords: grid deformation; point; cloud completion; point cloud ... See more keywords