top of page

News to help your R&D in artificial intelligence, machine learning, robotics, computer vision, smart hardware

As an Amazon Associate I earn

from qualifying purchases

Writer's picturemorrislee

Complete point clouds with geometry-aware transformers with AdaPoinTr

Complete point clouds with geometry-aware transformers with AdaPoinTr


AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware Transformers

arXiv paper abstract https://arxiv.org/abs/2301.04545



... present a new method that reformulates point cloud completion as a set-to-set translation problem and design a new model, called PoinTr, which adopts a Transformer encoder-decoder architecture for point cloud completion.


By representing the point cloud as a set of unordered groups of points with position embeddings, ... convert the input data to a sequence of point proxies and employ the Transformers for generation.


... The migration of Transformers enables ... model to better learn structural knowledge and preserve detailed information for point cloud completion.


Taking a step towards more complicated and diverse situations, ... further propose AdaPoinTr by developing an adaptive query generation mechanism and designing a novel denoising task during completing a point cloud.


Coupling these two techniques enables us to train the model efficiently and effectively: ... reduce training time (by 15x or more) and improve completion performance (over 20%).


... demonstrate the effectiveness ... surpassing other work by a large margin and establishing new state-of-the-arts ... with higher throughputs and fewer FLOPs ...



Please like and share this post if you enjoyed it using the buttons at the bottom!


Stay up to date. Subscribe to my posts https://morrislee1234.wixsite.com/website/contact

Web site with my other posts by category https://morrislee1234.wixsite.com/website



40 views0 comments

Comments


ClickBank paid link

bottom of page