Geometry-Aware Discretization Error of Diffusion Models
The research derived explicit formulas for optimizing diffusion sampling parameters by analyzing discretization errors in reverse-time SDEs/ODEs. It shows how to choose noise and rescaling schedules based on the target data's covariance spectrum, predicting lower optimal stochasticity with smaller step budgets and providing a toolkit for geometry-aware parameter tuning.