Straight-Path Flow Matching for Incomplete Multi-View Clustering
This work introduces a flow-matching framework with a linear interpolation path between paired view representations, that replaces diffusion with probability flows between observed and missing views, and provides a formal analysis showing that deterministic ODE flows are inherently better aligned with clustering objectives than diffusion-based stochastic trajectories.