Observation-Aligned Mask Priors for Learning Physical Fields from Authentic Occlusions.

arXiv:2605.16818v2 Announce Type: replace-cross Abstract: Learning physical fields directly from incomplete observations is challenging because authentic occlusions are structured, sample-dependent, and often missing not at random, whereas existing methods typ