AI RESEARCH
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance
arXiv CS.LG
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ArXi:2605.06553v1 Announce Type: new We present EDDY (Exact-marginal Diversification via Divergence-free dYnamics), a guidance mechanism for diffusion and flow matching models that promotes diversity among samples generated while maintaining quality. EDDY exploits symmetries of the Fokker-Planck equation, using drift perturbations that change particle trajectories while preserving the evolving marginal distribution. We instantiate this principle through kernel-based anti-symmetric pairwise matrix fields, constructed from the repulsive directions.