DenoFlow: Flow Matching for SSVEP Denoising under Real Physiological Artifacts
DenoFlow is proposed, which casts SSVEP denoising as transport: instead of learning a direct map from a contaminated trial to a clean one, a field network regresses the velocity of the straight path between them, following the rectified-flow formulation, and denoising integrates that field forward from the observation.