Difficulty-Calibrated Interpolation Paths for Conditional Flow Matching
This work shows that the regression difficulty of Conditional Flow Matching varies systematically along the path, and proposes Difficulty-Calibrated Flow Matching, which derives the schedule from the model itself: a short pilot run with the linear path records the per-time loss, and the schedule is set to the quantile function of this difficulty profile.