2 papers
cs.LG2024
E(3)-Equivariant Mesh Neural Networks
Thuan Trang, Nhat Khang Ngo, Daniel Levy +3
Triangular meshes are widely used to represent three-dimensional objects. As a result, many recent works have address the need for geometric deep learning on 3D mesh. However, we o…
cs.CV2022
Design equivariant neural networks for 3D point cloud
Thuan N. A. Trang, Thieu N. Vo, Khuong D. Nguyen
This work seeks to improve the generalization and robustness of existing neural networks for 3D point clouds by inducing group equivariance under general group transformations. The…