Pointfilter: Point Cloud Filtering via Encoder-Decoder Modeling

Understand

Point cloud filtering is a fundamental problem in geometry modeling and processing.

• Despite of significant advancement in recent years, the existing methods still suffer from two issues: 1) they are either designed without preserving sharp features or less robust in feature preservation; and 2) they usually have many parameters and require tedious parameter tuning.
• In this paper, we propose a novel deep learning approach that automatically and robustly filters point clouds by removing noise and preserving their sharp features.
• Our point-wise learning architecture consists of an encoder and a decoder.