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Graph."],"published-print":{"date-parts":[[2020,2,29]]},"abstract":"<jats:p>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), weather condition (e.g., on a cloudy day), or at a different time of the day (e.g., at sunset). Once the scene is hallucinated with the given attributes, the corresponding look is then transferred to the input image while preserving the semantic details intact, giving a photo-realistic manipulation result. As the proposed framework hallucinates what the scene will look like, it does not require any reference style image as commonly utilized in most of the appearance or style transfer approaches. 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Our comprehensive set of qualitative and quantitative results demonstrates the effectiveness of our approach against the competing methods.<\/jats:p>","DOI":"10.1145\/3368312","type":"journal-article","created":{"date-parts":[[2019,11,26]],"date-time":"2019-11-26T13:08:55Z","timestamp":1574773735000},"page":"1-17","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Manipulating Attributes of Natural Scenes via Hallucination"],"prefix":"10.1145","volume":"39","author":[{"given":"Levent","family":"Karacan","sequence":"first","affiliation":[{"name":"Hacettepe University and Iskenderun Technical University, Hatay, Turkey"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1432-7747","authenticated-orcid":false,"given":"Zeynep","family":"Akata","sequence":"additional","affiliation":[{"name":"University of T\u00fcbingen, Tubingen, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6280-8422","authenticated-orcid":false,"given":"Aykut","family":"Erdem","sequence":"additional","affiliation":[{"name":"Hacettepe University, Ankara, Turkey"}]},{"given":"Erkut","family":"Erdem","sequence":"additional","affiliation":[{"name":"Hacettepe University, Ankara, Turkey"}]}],"member":"320","published-online":{"date-parts":[[2019,11,26]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_2_2_1_1","DOI":"10.1111\/j.1467-8659.2009.01595.x"},{"volume-title":"Proceedings of the IEEE International Conference on Image Processing (ICIP\u201917)","author":"Antipov G.","key":"e_1_2_2_2_1"},{"volume-title":"Retrieved from arXiv preprint arXiv:1701.07875","year":"2017","author":"Arjovsky Martin","key":"e_1_2_2_3_1"},{"doi-asserted-by":"publisher","key":"e_1_2_2_4_1","DOI":"10.1109\/WACV.2016.7477713"},{"volume-title":"BEGAN: Boundary equilibrium generative adversarial networks. 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