ML Anthology

Attribute-Driven Spontaneous Motion in Unpaired Image Translation

Ruizheng Wu, Xin Tao, Xiaodong Gu, Xiaoyong Shen, Jiaya Jia
ICCV 2019
doi:10.1109/ICCV.2019.00602 /iccv/2019/wu2019iccv-attributedriven/

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.

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Cite

Text

Wu et al. "Attribute-Driven Spontaneous Motion in Unpaired Image Translation." Proceedings of the IEEE/CVF International Conference on Computer Vision, 2019. doi:10.1109/ICCV.2019.00602

Markdown

[Wu et al. "Attribute-Driven Spontaneous Motion in Unpaired Image Translation." Proceedings of the IEEE/CVF International Conference on Computer Vision, 2019.](https://mlanthology.org/iccv/2019/wu2019iccv-attributedriven/) doi:10.1109/ICCV.2019.00602

BibTeX

@inproceedings{wu2019iccv-attributedriven,
  title     = {{Attribute-Driven Spontaneous Motion in Unpaired Image Translation}},
  author    = {Wu, Ruizheng and Tao, Xin and Gu, Xiaodong and Shen, Xiaoyong and Jia, Jiaya},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
  year      = {2019},
  doi       = {10.1109/ICCV.2019.00602},
  url       = {https://mlanthology.org/iccv/2019/wu2019iccv-attributedriven/}
}