AdaPoinTr: Diverse Point Cloud Completion With Adaptive Geometry-Aware Transformers
AdaPoinTr: Diverse Point Cloud Completion With Adaptive Geometry-Aware Transformers
In this paper, we propose a Transformer encoder-decoder architecture, called PoinTr, which reformulates point cloud completion as a set-to-set translation problem and employs a geometry-aware block to model local geometric relationships explicitly. The migration of Transformers enables our model to better learn structural knowledge and preserve detailed information for point …