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News/MedPCFM: Improving Medical Point Cloud Completion by Integrating Point Transformers and Flow Matching
arxiv
PublishedJune 25, 2026 at 4:00 AM
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MedPCFM: Improving Medical Point Cloud Completion by Integrating Point Transformers and Flow Matching

Source
arxiv.orgfull article ↗
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Publisher summary· verbatim

arXiv:2606.24433v1 Announce Type: cross Abstract: Medical point cloud completion is important for anatomical reconstruction and downstream clinical workflows, yet generative modeling in this setting remains insufficiently studied. We investigate completion through continuous-time generative modeling

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Discussion
Mentioned models
04
  • 01
    PCFM
  • 02
    PTv3
  • 03
    PVCNN
  • 04
    PCDiff
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#medical-imaging#point-cloud#generative-models#computer-vision

No replies yet. Be first.

Mentioned models
04
  • 01
    PCFM
  • 02
    PTv3
  • 03
    PVCNN
  • 04
    PCDiff
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#medical-imaging#point-cloud#generative-models#computer-vision

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