Shared-Factor-Conditioned Diffusion for Low-Rank Tensor Recovery.

arXiv:2610.35368v1 Announce Type: cross Abstract: Tensor recovery spans heterogeneous data structures and observation processes, calling for a representation that can adapt across modalities and tasks. We propose DiffTR, an unsupervised framework that unifies