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Multi-stage point completion network with critical set supervision
A multi-stage point completion network for 3D object reconstruction. -
Point Cloud Completion Via Skeleton-Detail Transformer
A point cloud completion network for 3D object reconstruction from a single image. -
Partial2Complete
Point cloud completion aims to recover the complete shape based on a partial observation. The proposed Partial2Complete (P2C) framework completes point cloud objects using... -
3D-EPN dataset
The 3D-EPN dataset is a point cloud completion benchmark derived from the ShapeNet dataset. -
ScanObjectNN
Zero-shot learning (ZSL) aims to classify objects that are not observed or seen during training. It relies on class semantic description to transfer knowledge from the seen... -
Pacific Graphics 2022
The Pacific Graphics 2022 dataset is a collection of 3D models used for point cloud completion tasks. -
ShapeNet-Part
ShapeNet-Part dataset consists of 16881 3D objects, covering 16 shape categories. Most of the point cloud instances are annotated with less than six part labels, and there exist... -
Variational Relational Point Completion Network (VRCNet)
A variational relational point completion network that generates complete point clouds from partial point clouds. -
Detail Preserved Point Cloud Completion
A point cloud completion network that preserves the observed shape details and generates complete point clouds. -
Point Completion Network (PCN)
The Point Completion Network (PCN) dataset is a large-scale, multi-category dataset for shape completion. It contains pairs of partial and complete point clouds, where the... -
Multi-View Partial point cloud dataset (MVP)
A large-scale Multi-View Partial point cloud dataset, which consists of over 100,000 high-quality incomplete and complete point clouds.
