Painting completion with generative translation models-Reference-Cited by-同舟云学术

Painting completion with generative translation models

Published:2018-10-12 Issue:21-22 Volume:79 Page:14375-14388
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Liu Ruijun^ORCID,Yang Rui,Li Shanxi,Shi Yuqian,Jin Xin

Funder

The Open Funding Project of State Key Laboratory of Virtual Reality Technology and Systems, Beihang University

Construction of Scientific and Technological Innovation and Service Capability - Basic Scientific Research Funding Project, Beijing Technology and Business University

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-018-6761-3.pdf

Reference28 articles.

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3. Chen X et al (2016) Infogan: interpretable representation learning by information maximizing generative adversarial nets. Adv Neural Inf Proces Syst:2172–2180

4. Gatys LA, Ecker AS, Bethge M (2016) Image style transfer using convolutional neural networks. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 2414–2423

5. Goodfellow I et al (2014) Generative adversarial nets. Adv Neural Inf Proces Syst:2672–2680

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