Unsupervised Object Transfiguration with Attention-Reference-Cited by-同舟云学术

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Unsupervised Object Transfiguration with Attention

Published:2019-04-08 Issue:6 Volume:11 Page:869-878
ISSN:1866-9956
Container-title:Cognitive Computation
language:en
Short-container-title:Cogn Comput

Author:

Ye Zihan,Lyu Fan,Li Linyan,Sun Yu,Fu Qiming,Hu Fuyuan

Funder

National Natural Science Foundation of China

Primary Research & Development Plan of Jiangsu Province

Jiangsu Key Disciplines of Thirteen Five-Year Plan

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1007/s12559-019-09633-3.pdf

Reference47 articles.

1. Johnson J, Alahi A, Fei-Fei L. Perceptual losses for real-time style transfer and super-resolution. ECCV. 2016:694–711.

2. Isola P, Zhu JY, Zhou T, Efros AA. Image-to-image translation with conditional adversarial networks. CVPR. 2017:1125–34.

3. Ledig C, Theis L, Huszar F, Caballero J, Cunningham A, Acosta A, et al. Photo-realistic single image superresolution using a generative adversarial network. CVPR. 2017:4681–90.

4. Zhang H, Xu T, Li H, Zhang S, Huang X, Wang X, et al. Stackgan: text to photo-realistic image synthesis with stacked generative adversarial networks. CVPR. 2017:5907–15.

5. Feng Y, Ren J, Jiang J. Object-based 2d-to-3d video conversion for effective stereoscopic content generation in 3d-tv applications. IEEE Trans Broadcast. 2011;57(2):500–9.

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