Author name: Rania Briq, Michael Kamp, Ohad Fried, Sarel Cohen, Stefan Kesselheim

arXiv:2604.16079v2 Announce Type: replace
Abstract: The success of deep generative models in generating high-quality and diverse samples is often attributed to particular architectures and large training datasets. In this paper, we investigate the imp…

arXiv:2604.16079v1 Announce Type: new
Abstract: The success of deep generative models in generating high-quality and diverse samples is often attributed to particular architectures and large training datasets. In this paper, we investigate the impact …