Point Cloud Completion
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Benchmarks
Most implemented
Pointer Networks
PCN: Point Completion Network
SPCNet: Stepwise Point Cloud Completion Network
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
Efficient and Scalable Point Cloud Generation with Sparse Point-Voxel Diffusion Models
Learning Geometric Transformation for Point Cloud Completion
Papers
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 Clouds