Attribute-Driven Spontaneous Motion in Unpaired Image Translation

Ruizheng Wu, Xin Tao, Xiaodong Gu, Xiaoyong Shen, Jiaya Jia; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2019, pp. 5923-5932

Abstract


Current image translation methods, albeit effective to produce high-quality results in various applications, still do not consider much geometric transform. We in this paper propose the spontaneous motion estimation module, along with a refinement part, to learn attribute-driven deformation between source and target domains. Extensive experiments and visualization demonstrate effectiveness of these modules. We achieve promising results in unpaired-image translation tasks, and enable interesting applications based on spontaneous motion.

Related Material


[pdf]
[bibtex]
@InProceedings{Wu_2019_ICCV,
author = {Wu, Ruizheng and Tao, Xin and Gu, Xiaodong and Shen, Xiaoyong and Jia, Jiaya},
title = {Attribute-Driven Spontaneous Motion in Unpaired Image Translation},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
month = {October},
year = {2019}
}