Manipulating Attributes of Natural Scenes via Hallucination

In this study, we explore building a two-stage framework for enabling users to directly manipulate high-level attributes of a natural scene. The key to our approach is a deep generative network that can hallucinate images of a scene as if they were taken in a different season (e.g., during winter),...

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Veröffentlicht in:	ACM transactions on graphics 2020-02, Vol.39 (1), p.1-17
Hauptverfasser:	Karacan, Levent, Akata, Zeynep, Erdem, Aykut, Erdem, Erkut
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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