"PointOT: Interpretable Geometry-Inspired Point Cloud Generative Model via ..."

Ruonan Zhang et al. (2022)

> Home

Details and statistics

DOI: 10.1109/TCSVT.2022.3170588

access: closed

type: Journal Article

metadata version: 2025-06-11

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tcsv/ZhangCGLL22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tcsv/ZhangCGLL22
Ruonan Zhang, Jingyi Chen, Wei Gao, Ge Li, Thomas H. Li:
PointOT: Interpretable Geometry-Inspired Point Cloud Generative Model via Optimal Transport. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6792-6806 (2022)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.