You're currently viewing an old version of this dataset. To see the current version, click here.

PointConv: Deep Convolutional Networks on 3D Point Clouds

3D point clouds are irregular and unordered, hence applying convolution on them can be difficult. PointConv can be applied on point clouds to build deep convolutional networks.

Data and Resources

This dataset has no data

Cite this as

Wenxuan Wu, Zhongang Qi, Li Fuxin (2024). Dataset: PointConv: Deep Convolutional Networks on 3D Point Clouds. https://doi.org/10.57702/9mvc3ocr

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Defined In	https://doi.org/10.48550/arXiv.1811.07246
Author	Wenxuan Wu
More Authors	Zhongang Qi Li Fuxin
Homepage	https://arxiv.org/abs/1803.08676