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.
Cite
Text
Benaim et al. "Domain Intersection and Domain Difference." Proceedings of the IEEE/CVF International Conference on Computer Vision, 2019. doi:10.1109/ICCV.2019.00354Markdown
[Benaim et al. "Domain Intersection and Domain Difference." Proceedings of the IEEE/CVF International Conference on Computer Vision, 2019.](https://mlanthology.org/iccv/2019/benaim2019iccv-domain/) doi:10.1109/ICCV.2019.00354BibTeX
@inproceedings{benaim2019iccv-domain,
title = {{Domain Intersection and Domain Difference}},
author = {Benaim, Sagie and Khaitov, Michael and Galanti, Tomer and Wolf, Lior},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
year = {2019},
doi = {10.1109/ICCV.2019.00354},
url = {https://mlanthology.org/iccv/2019/benaim2019iccv-domain/}
}