Urban Sound Propagation: a Benchmark for 1-Step Generative Modeling of Complex Physical Systems

arXiv:2403.10904v1 Announce Type: cross
Abstract: Data-driven modeling of complex physical systems is receiving a growing amount of attention in the simulation and machine learning communities. Since most physical simulations are based on compute-intensive, iterative implementations of differential equation systems, a (partial) replacement with learned, 1-step inference models has the potential for significant speedups in a wide range of application areas. In this context, we present a novel benchmark for the evaluation of 1-step generative learning models in terms of speed …

arxiv benchmark cs.cv cs.sd eess.as generative generative modeling modeling propagation sound systems type urban