Monte Carlo methods have emerged as an indispensably robust tool for simulating particle transport in stochastic media, where material properties vary according to random processes. These techniques ...
Previous high-order solvers are unstable for guided sampling: Samples use the pre-trained DPMs on ImageNet 256 256 with a classifier guidance scale 8.0, varying different samplers (and different ...