Most current imaging instruments have a spatially variant point spread function (PSF). An optimal exploitation of these instruments requires to account for this non-stationarity. We review existing models of spatially variant PSF with an emphasis on those which are not only accurate but also fast because getting rid of non-stationary blur can only be done by iterative methods.