Diverse Sampling in Diffusion Models with Divergence-Free Particle Guidance
EDDY is a training-free guidance method for diffusion models that promotes sample diversity while strictly preserving each particle's marginal distribution. It achieves this by introducing inter-particle repulsion through divergence-free dynamics derived from the Fokker–Planck equation symmetries, allowing for diverse conditional generation without sacrificing distributional fidelity.