TopNet: Structural Point Cloud Decoder
Stanford University · Stanford Medicine · +1 more institution
Abstract
3D point cloud generation is of great use for 3D scene modeling and understanding. Real-world 3D object point clouds can be properly described by a collection of low-level and high-level structures such as surfaces, geometric primitives, semantic parts,etc. In fact, there exist many different representations of a 3D object point cloud as a set of point groups. Existing frameworks for point cloud genera-ion either do not consider structure in their proposed solutions, or assume and enforce a specific structure/topology,e.g. a collection of manifolds or surfaces, for the generated point cloud of a 3D object. In this work, we pro-pose a novel decoder that generates a structured point cloud without assuming any…
Citation impact
- FWCI
- 39.80
- Percentile
- 100%
- References
- 56
Authors
5Topics & keywords
- Point cloud
- Computer science
- Object (grammar)
- Topology (electrical circuits)
- Point (geometry)
- Set (abstract data type)
- Cloud computing
- Tree (set theory)
- Sustainable cities and communities