Geometry-Aware Image Flow Matching

Modeling natural images on a hypersphere (since semantic content lives in directional rather than norm components), SOT-CFM and SFM achieve improved image generation by replacing Euclidean flow matching with spherical geometry using angular distance constraints in both RGB and latent spaces.