arXiv:2104.05666
View-Guided Point Cloud Completion
원문 초록
This paper presents a view-guided solution for the task of point cloud completion. Unlike most existing methods directly inferring the missing points using shape priors, we address this task by introducing ViPC (view-guided point cloud completion) that takes the missing crucial global structure information from an extra single-view image. By leveraging a framework that sequentially performs effective cross-modality and cross-level fusions, our method achieves significantly superior results over typical existing solutions on a new large-scale dataset we collect for the view-guided point cloud completion task.
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Leveraging Automatic CAD Annotations for Supervised Learning in 3D Scene Understanding
SymmCompletion: High-Fidelity and High-Consistency Point Cloud Completion with Symmetry Guidance
Parametric Point Cloud Completion for Polygonal Surface Reconstruction
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows
PointSea: Point Cloud Completion via Self-structure Augmentation
DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion
토론
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