Author

M. Kinz

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Jul 2026

DINE: Distance Is Not Enough - Learning Global Deformation Priors for Robust Soft-Tissue Point Cloud Registration

DINE is applied to two registration backbones, Robust-DefReg and DefTransNet, using a two-stage strategy: a first-stage model is trained with Chamfer distance, its predicted deformation fields are used to estimate a prior, and the model is then refined with a combined distance and negative log-prior objective.

Sara Monji-Azad, Rohit Beer, M. Kinz et al. · arXiv.org · 1 citation