Papers Point Cloud Completion
“Point Cloud Completion” 태그가 달린 논문 207편 · 필터 해제
Denoising-Aware Temporal Point Cloud Completion for 3D Crop Architecture Recovery and Phenotypic Trait Extraction
High-throughput phenotyping depends on accurate 3D reconstruction of plants across growth stages, yet the development and evaluation of temporal completion methods are limited by the lack of datasets with complete geomet…
Point Cloud Completion3D ReconstructionPoint CloudsMAGE: View-guided Point Cloud Completion with Efficient Modality Alignment and Adaptive Geometry Enhancement
View-based point cloud completion aims to recover a complete 3D shape from a partial point cloud, guided by a single-view image. However, existing approaches often suffer from limited performance due to weak modality ali…
Point Cloud CompletionMedPCFM: Improving Medical Point Cloud Completion by Integrating Point Transformers and Flow Matching
Medical point cloud completion is important for anatomical reconstruction and downstream clinical workflows, yet generative modeling in this setting remains insufficiently studied. We investigate completion through conti…
Point Cloud CompletionCAOA -- Completion-Assisted Object-CAD Alignment
Accurately aligning CAD models to their corresponding objects in indoor RGB-D scans is a central challenge in 3D semantic reconstruction. The task requires estimating a 9-Degree-of-Freedom (DoF) pose-position, rotation, …
Synthetic Data GenerationPoint Cloud CompletionPose EstimationShape-Prior-Based Point Cloud Completion for Single-Stage Fully Sparse 3D Object Detection
Single-stage fully sparse 3D object detectors rely on point clouds data to detect objects in autonomous driving scenarios. However, the sparsity and incompleteness of point clouds significantly limit the performance of 3…
Point Cloud Completion3D Object DetectionAutonomous DrivingPoint CloudsI2PRef: Image-Driven Point Completion with Iterative Refinement
We present an image-conditioned point cloud completion approach that treats images as the primary geometric source rather than a secondary guide. To this end, we introduce an Image-to-Point (I2P) module that can reconstr…
Point Cloud CompletionPoint CloudsComPose: A Unified Completion-Pose Framework for Robust Category-Level Object Pose Estimation
Category-level object pose estimation aims to predict the pose and size of arbitrary objects in specific categories. Existing methods struggle with the inherent incompleteness of observed point clouds, which limits their…
Point Cloud CompletionPose EstimationPoint CloudsGenerating Roadside LiDAR Datasets from Vehicle-Side Datasets via Novel View Synthesis
Intelligent Transportation Systems (ITS) require reliable environmental perception to support safe and efficient transportation. With the rapid development of Vehicle-to-everything (V2X), roadside perception has become a…
Point Cloud CompletionNovel View Synthesis3D Object DetectionSplAttN: Bridging 2D and 3D with Gaussian Soft Splatting and Attention for Point Cloud Completion
Although multi-modal learning has advanced point cloud completion, the theoretical mechanisms remain unclear. Recent works attribute success to the connection between modalities, yet we identify that standard hard projec…
Point Cloud CompletionDensity EstimationPPC-MT: Parallel Point Cloud Completion with Mamba-Transformer Hybrid Architecture
Existing point cloud completion methods struggle to balance high-quality reconstruction with computational efficiency. To address this, we propose PPC-MT, a novel parallel framework for point cloud completion leveraging …
Computational EfficiencyPoint Cloud CompletionPoint CloudsBuildAnyPoint: 3D Building Structured Abstraction from Diverse Point Clouds
We introduce BuildAnyPoint, a novel generative framework for structured 3D building reconstruction from point clouds with diverse distributions, such as those captured by airborne LiDAR and Structure-from-Motion. To reco…
Point Cloud CompletionPoint CloudsLearning Topology-Aware Implicit Field for Unified Pulmonary Tree Modeling with Incomplete Topological Supervision
Pulmonary trees extracted from CT images frequently exhibit topological incompleteness, such as missing or disconnected branches, which substantially degrades downstream anatomical analysis and limits the applicability o…
Computational EfficiencyPoint Cloud CompletionPoint CloudsUNCLE-Grasp: Uncertainty-Aware Grasping of Leaf-Occluded Strawberries
Robotic strawberry harvesting remains challenging under partial occlusion, where leaf interference introduces significant geometric uncertainty and renders grasp decisions based on a single deterministic shape estimate u…
Point Cloud CompletionDecision MakingREVNET: Rotation-Equivariant Point Cloud Completion via Vector Neuron Anchor Transformer
Incomplete point clouds captured by 3D sensors often result in the loss of both geometric and semantic information. Most existing point cloud completion methods are built on rotation-variant frameworks trained with data …
Point Cloud CompletionData AugmentationPoint CloudsMGPC: Multimodal Network for Generalizable Point Cloud Completion With Modality Dropout and Progressive Decoding
Point cloud completion aims to recover complete 3D geometry from partial observations caused by limited viewpoints and occlusions. Existing learning-based works, including 3D Convolutional Neural Network (CNN)-based, poi…
Point Cloud CompletionPoint CloudsManifold-Aware Point Cloud Completion via Geodesic-Attentive Hierarchical Feature Learning
Point cloud completion seeks to recover geometrically consistent shapes from partial or sparse 3D observations. Although recent methods have achieved reasonable global shape reconstruction, they often rely on Euclidean p…
Point Cloud CompletionPoint CloudsMemory-Guided Point Cloud Completion for Dental Reconstruction
Partial dental point clouds often suffer from large missing regions caused by occlusion and limited scanning views, which bias encoder-only global features and force decoders to hallucinate structures. We propose a retri…
Point Cloud CompletionPoint CloudsSurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting
LiDAR-captured point clouds are often considered the gold standard in active 3D reconstruction. While their accuracy is exceptional in flat regions, the capturing is susceptible to miss small geometric structures and may…
Point Cloud Completion3D ReconstructionPoint CloudsHeartFormer: Semantic-Aware Dual-Structure Transformers for 3D Four-Chamber Cardiac Point Cloud Reconstruction
We present the first geometric deep learning framework based on point cloud representation for 3D four-chamber cardiac reconstruction from cine MRI data. This work addresses a long-standing limitation in conventional cin…
Point Cloud CompletionDAPointMamba: Domain Adaptive Point Mamba for Point Cloud Completion
Domain adaptive point cloud completion (DA PCC) aims to narrow the geometric and semantic discrepancies between the labeled source and unlabeled target domains. Existing methods either suffer from limited receptive field…
Point Cloud CompletionPoint Clouds