AI RESEARCH
SFBD-OMNI: Bridge models for lossy measurement restoration with limited clean samples
arXiv CS.LG
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ArXi:2512.17051v2 Announce Type: replace In many real-world scenarios, obtaining fully observed samples is prohibitively expensive or even infeasible, while partial and noisy observations are comparatively easy to collect. In this work, we study distribution restoration with abundant noisy samples, assuming the corruption process is available as a black-box generator. We show that this task can be framed as a one-sided entropic optimal transport problem and solved via an EM-like algorithm.