Analyzing and Improving Optimal-Transport-based Adversarial Networks

arXiv:2310.02611v2 Announce Type: replace
Abstract: Optimal Transport (OT) problem aims to find a transport plan that bridges two distributions while minimizing a given cost function. OT theory has been widely utilized in generative modeling. In the beginning, OT distance has been used as a measure for assessing the distance between data and generated distributions. Recently, OT transport map between data and prior distributions has been utilized as a generative model. These OT-based generative models share a similar adversarial training objective. …

abstract adversarial arxiv cost cs.cv cs.lg data function generated generative generative modeling modeling networks theory transport type