Enhanced Point Cloud Upsampling using Multi-branch Network and Attention Fusion

Chia Hung Yeh, Wei Cheng Lin

研究成果: 書貢獻/報告類型會議論文篇章

摘要

Point cloud upsampling is critically useful for 3D reconstruction and 3D data understanding due to hardware limitation which often obtain sparse point sets. Recent point cloud upsampling approaches attempt to generate a dense point set with a single upsampling stage. After revisiting the task, we propose a new upsampling module, which conducts multi-branch network strategy to refine the generated point set. In each branch, we upsample points by duplicating feature space and pass through MLPs and self-attention unit. Further, we incorporate an auxiliary network to encode global features from input point cloud, which preserves structure information in the first place, and aggregate global features with generated point features to enhance overall performance. Specifically, our proposed network assembles global features with generated point features using attention fusion that allows each point to acquire global information from weighted attention map. Extensive qualitative and quantitative evaluation on different datasets demonstrate how our method outperform other existing approaches.

原文英語
主出版物標題2021 International Conference on Computer System, Information Technology, and Electrical Engineering, COSITE 2021
發行者Institute of Electrical and Electronics Engineers Inc.
頁面51-56
頁數6
ISBN(電子)9781665425094
DOIs
出版狀態已發佈 - 2021
事件2021 International Conference on Computer System, Information Technology, and Electrical Engineering, COSITE 2021 - Virtual, Online, 印度尼西亚
持續時間: 2021 10月 202021 10月 21

出版系列

名字2021 International Conference on Computer System, Information Technology, and Electrical Engineering, COSITE 2021

會議

會議2021 International Conference on Computer System, Information Technology, and Electrical Engineering, COSITE 2021
國家/地區印度尼西亚
城市Virtual, Online
期間2021/10/202021/10/21

ASJC Scopus subject areas

  • 電腦視覺和模式識別
  • 資訊系統
  • 訊號處理
  • 電氣與電子工程
  • 控制和優化
  • 原子與分子物理與光學
  • 人工智慧
  • 電腦網路與通信

指紋

深入研究「Enhanced Point Cloud Upsampling using Multi-branch Network and Attention Fusion」主題。共同形成了獨特的指紋。

引用此