AI RESEARCH
MorphoFlow: Sparse-Supervised Generative Shape Modeling with Adaptive Latent Relevance
arXiv CS.CV
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ArXi:2604.11636v1 Announce Type: new Statistical shape modeling (SSM) is central to population level analysis of anatomical variability, yet most existing approaches rely on densely annotated segmentations and fixed latent representations. These requirements limit scalability and reduce flexibility when modeling complex anatomical variation. We