AI RESEARCH
LatentFM: A Latent Flow Matching Approach for Generative Medical Image Segmentation
arXiv CS.CV
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ArXi:2512.04821v2 Announce Type: replace Generative models have achieved remarkable progress with the emergence of flow matching (FM). It has nstrated strong generative capabilities and attracted significant attention as a simulation-free flow-based framework capable of learning exact data densities. Motivated by these advances, we propose LatentFM, a flow-based model operating in the latent space for medical image segmentation.