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

Ruonan Zhang et al. (2022)

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DOI: 10.1109/TCSVT.2022.3170588

access: closed

type: Journal Article

metadata version: 2022-10-18

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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)

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