AI RESEARCH
RBF-Solver: A Multistep Sampler for Diffusion Probabilistic Models via Radial Basis Functions
arXiv CS.LG
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ArXi:2603.13330v1 Announce Type: new Diffusion probabilistic models (DPMs) are widely adopted for their outstanding generative fidelity, yet their sampling is computationally demanding. Polynomial-based multistep samplers mitigate this cost by accelerating inference; however, despite their theoretical accuracy guarantees, they generate the sampling trajectory according to a predefined scheme, providing no flexibility for further optimization.