AI RESEARCH
SURGE: Approximation-free Training Free Particle Filter for Diffusion Surrogate
arXiv CS.LG
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ArXi:2605.18745v1 Announce Type: cross Diffusion-based generative models increasingly rely on inference-time guidance, adding a drift term or reweighting mixture of experts, to improve sample quality on task-specific objectives. However, most existing techniques require repeated score or gradient evaluations,