58 citations · 60 across the 4 of their papers we have counts for
3 papers · 1 filter
WrappingNet: Mesh Autoencoder via Deep Sphere Deformation
Eric Lei, Muhammad Asad Lodhi, Jiahao Pang +2
There have been recent efforts to learn more meaningful representations via fixed length codewords from mesh data, since a mesh serves as a complete model of underlying 3D shape co…
Concavity-Induced Distance for Unoriented Point Cloud Decomposition
Ruoyu Wang, Yanfei Xue, Bharath Surianarayanan +2
We propose Concavity-induced Distance (CID) as a novel way to measure the dissimilarity between a pair of points in an unoriented point cloud. CID indicates the likelihood of two p…
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering
Siheng Chen, Chaojing Duan, Yaoqing Yang +3
We propose a deep autoencoder with graph topology inference and filtering to achieve compact representations of unorganized 3D point clouds in an unsupervised manner. Many previous…