Generative Adversarial Network with Spatial Attention for Face Attribute Editing-Reference-Cited by-同舟云学术

Generative Adversarial Network with Spatial Attention for Face Attribute Editing

Published:2018 Issue: Volume: Page:422-437
ISSN:0302-9743
Container-title:Computer Vision – ECCV 2018
language:
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Author:

Zhang Gang^ORCID,Kan Meina^ORCID,Shan Shiguang^ORCID,Chen Xilin^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-01231-1_26

Reference27 articles.

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2. Antipov, G., Baccouche, M., Dugelay, J.L.: Face aging with conditional generative adversarial networks. arXiv preprint arXiv:1702.01983 (2017)

3. Wang, W., et al.: Recurrent face aging. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016)

4. Ding, H., Sricharan, K., Chellappa, R.: ExprGAN: facial expression editing with controllable expression intensity. In: The Association for the Advance of Artificial Intelligence (AAAI) (2018)

5. Zhu, Z., Luo, P., Wang, X., Tang, X.: Recover canonical-view faces in the wild with deep neural networks. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2014)

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