@inproceedings{d4be9786b9584d5c93e035ee5fa8c7cb,
title = "Domain intersection and domain difference",
abstract = "We present a method for recovering the shared content between two visual domains as well as the content that is unique to each domain. This allows us to map from one domain to the other, in a way in which the content that is specific for the first domain is removed and the content that is specific for the second is imported from any image in the second domain. In addition, our method enables generation of images from the intersection of the two domains as well as their union, despite having no such samples during training. The method is shown analytically to contain all the sufficient and necessary constraints. It also outperforms the literature methods in an extensive set of experiments.",
author = "Sagie Benaim and Michael Khaitov and Tomer Galanti and Lior Wolf",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 17th IEEE/CVF International Conference on Computer Vision, ICCV 2019 ; Conference date: 27-10-2019 Through 02-11-2019",
year = "2019",
month = oct,
doi = "https://doi.org/10.1109/ICCV.2019.00354",
language = "الإنجليزيّة",
series = "Proceedings of the IEEE International Conference on Computer Vision",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3444--3452",
booktitle = "Proceedings - 2019 International Conference on Computer Vision, ICCV 2019",
address = "الولايات المتّحدة",
}