Hierarchical Pointnet
Found 3 free book(s)
PCT: Point Cloud Transformer - Tsinghua University
cg.cs.tsinghua.edu.cnPointNet [21] pioneered point cloud learning. Subse-quently, Qi et al. proposed PointNet++ [22], which uses query ball grouping and hierarchical PointNet to capture lo-cal structures. Several subsequent works considered how to define convolution operations on point clouds. One main approach is to convert a point cloud into a regular voxel
Point Transformer
openaccess.thecvf.comPointNet [25] utilizes permutation-invariant operators such as pointwise MLPs and pooling layers to aggregate features across a set. PointNet++ [27] applies these ideas within a hierarchical spatial structure to increase sensitivity to local geometric layout. Such models can benefit from efficient sampling of the point set, and a variety of ...
VoxelNet: End-to-End Learning for Point Cloud Based 3D ...
openaccess.thecvf.comRecently, Qi et al.[31] proposed PointNet, an end-to-end deep neural network that learns point-wise features di-rectly from point clouds. This approach demonstrated im-pressive results on 3D object recognition, 3D object part segmentation, and point-wise semantic segmentation tasks. In [32], an improved version of PointNet was introduced