Abstract:Unsupervised image-to-image translation methods have received a lot of attention in the last few years. Multiple techniques emerged to tackle the initial challenge from different perspectives. Some focus on learning as much as possible from the target-style using several images of that style for each translation while others make use of object detection in order to produce more realistic results on content-rich scenes. In this paper, we explore multiple frameworks that rely on different paradigms and assess ho… Show more
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