Resolution-free neural surrogates for geometric parameterization and mapping with spatially varying fields 事件

Resolution-free neural surrogates for geometric parameterization and mapping with spatially varying fields arXiv:2605.28551v1 Announce Type: new Abstract: Many imaging problems require computing spatial transformations induced by spatially varying intensity, feature, or density fields. Canonical examples include distortion correction, deformable image registration, atlas-based segmentation, and deformation-driven image analysis. These tasks can be formulated as geometric mapping problems in whi