PointOT: Interpretable Geometry-Inspired Point Cloud Generative Model via Optimal Transport

Ruonan Zhang, Jingyi Chen, Wei Gao 0003, Ge Li 0002, Thomas H. Li. PointOT: Interpretable Geometry-Inspired Point Cloud Generative Model via Optimal Transport. IEEE Trans. Circuits Syst. Video Techn., 32(10):6792-6806, 2022. [doi]

@article{ZhangCGLL22,
  title = {PointOT: Interpretable Geometry-Inspired Point Cloud Generative Model via Optimal Transport},
  author = {Ruonan Zhang and Jingyi Chen and Wei Gao 0003 and Ge Li 0002 and Thomas H. Li},
  year = {2022},
  doi = {10.1109/TCSVT.2022.3170588},
  url = {https://doi.org/10.1109/TCSVT.2022.3170588},
  researchr = {https://researchr.org/publication/ZhangCGLL22},
  cites = {0},
  citedby = {0},
  journal = {IEEE Trans. Circuits Syst. Video Techn.},
  volume = {32},
  number = {10},
  pages = {6792-6806},
}