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

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

DOI retrieved: December 3, 2024

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