3DMambaComplete: Structured State Space Model for High-Efficiency Point Cloud Completion
ACM Trans. Multim. Comput. Commun. Appl.Point cloud completion seeks to reconstruct a complete and high-fidelity point cloud from an incomplete and low-quality input. Current methods predominantly rely on Transformer architectures for feature extraction.
Yixuan Li +3 more
semanticscholar +1 more source
Self-Supervised Large Scale Point Cloud Completion for Archaeological Site Restoration
Computer Vision and Pattern RecognitionPoint cloud completion helps restore partial incomplete point clouds suffering occlusions. Current self-supervised methods fail to give high fidelity completion for large objects with missing surfaces and unbalanced distribution of available points.
Aocheng Li +6 more
semanticscholar +1 more source
Learning Point Cloud Completion without Complete Point Clouds: A Pose-Aware Approach
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023Jihun Kim +3 more
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HGG-Net: Hierarchical Geometry Generation Network for Point Cloud Completion
IEEE transactions on intelligent transportation systems (Print)Point cloud completion concerns the inference of the completed geometries for real-scanned point clouds that are sparse and incomplete due to occlusion, noise, and viewpoint. Previous methods usually learn a one-shot partial-to-complete mapping, which is
Hao Liang +5 more
semanticscholar +1 more source
DSPF: Dual-Stage Preservation and Fusion for Source-Free Domain Adaptive Point Cloud Completion
ACM MultimediaPoint cloud completion is crucial for downstream tasks in 3D visual perception. However, existing methods often struggle to generalize to real-world scans due to their heavy reliance on abundant paired point clouds for training and their neglect of the ...
Zhiqiang Xia +5 more
semanticscholar +1 more source
To obtain the complete shape and pose of corn under occlusion, this study proposes a point cloud completion algorithm for completing the fragmented corn point cloud after segmentation.
Yuliang Gao +4 more
semanticscholar +1 more source
CenFormer: Transformer-Based Network From Centroid Generation for Point Cloud Completion
IEEE Transactions on Artificial IntelligencePoint clouds captured from 3-D scanners are often sparse and incomplete due to occlusions, limited viewpoints, and sensor constraints. These limitations hinder applications in robotics, autonomous navigation, and augmented reality.
Tran Thanh Phong Nguyen +5 more
semanticscholar +1 more source
Dynamic Point Convolution-Based Point Cloud Completion Network
2023 3rd International Conference on Electronic Information Engineering and Computer Communication (EIECC), 2023Song Li, Yu Bai, Qi Hu
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CMFF: Cross-modal feature fusion network for robust point cloud completion
Neural NetworksIn the field of 3D vision, point cloud data often suffers from partial missing regions due to occlusion, reflection, or viewpoint limitations, which severely affects downstream tasks.
Jian Gao +6 more
semanticscholar +1 more source
SDA-Net: A Global Feature Point Cloud Completion Network Based on Serialization and Dual Attention
IEEE Transactions on Visualization and Computer GraphicsPoint cloud completion is essential for restoring 3D geometric data lost due to occlusions or sensor limitations. Existing methods often rely on k-nearest neighbor(KNN)-based local feature extraction, which focuses on neighborhoods around central points ...
Weichao Wu, Yongyang Xu, Zhong Xie
semanticscholar +1 more source