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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
A hierarchical feature learning approach for 3D point cloud processing. -
ModelNet40-C
The dataset used in the paper is ModelNet40-C, which is a 3D point cloud dataset with various corruptions. -
ModelNet40 and ModelNet40-C
The dataset used in the paper is ModelNet40 and ModelNet40-C, which are 3D point cloud datasets. -
GPN: Generative Point-based NeRF
The dataset is used for testing the proposed Generative Point-based NeRF framework. -
2D-3D-S dataset
The 2D-3D-S dataset is an indoor dataset with multiple modalities from 2D, 2.5D and 3D domains, with instance-level semantic and geometric annotations.
