论文标题

连续方法:汉密尔顿域翻译

Continuous Methods : Hamiltonian Domain Translation

论文作者

Menier, Emmanuel, Bucci, Michele Alessandro, Yagoubi, Mouadh, Mathelin, Lionel, Schoenauer, Marc

论文摘要

本文提出了一种新颖的域翻译方法。利用生成模型和动态系统之间建立的相似之处,我们提出了对循环构造的重新制定。通过将模型嵌入哈密顿结构,我们获得了一个连续,表现力且最重要的是可逆的生成模型,用于域翻译。

This paper proposes a novel approach to domain translation. Leveraging established parallels between generative models and dynamical systems, we propose a reformulation of the Cycle-GAN architecture. By embedding our model with a Hamiltonian structure, we obtain a continuous, expressive and most importantly invertible generative model for domain translation.

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