AI RESEARCH
Few-Step Diffusion Sampling Through Instance-Aware Discretizations
arXiv CS.CV
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ArXi:2603.17671v1 Announce Type: new Diffusion and flow matching models generate high-fidelity data by simulating paths defined by Ordinary or Stochastic Differential Equations (ODEs/SDEs), starting from a tractable prior distribution. The probability flow ODE formulation enables the use of advanced numerical solvers to accelerate sampling. Orthogonal yet vital to solver design is the discretization strategy.