Multi-scale multi-class conditional generative adversarial network for handwritten character generation-Reference-Cited by-同舟云学术

Multi-scale multi-class conditional generative adversarial network for handwritten character generation

Published:2017-12-19 Issue:4 Volume:75 Page:1922-1940
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Liu Jin,Gu Chenkai,Wang Jin,Youn Geumran,Kim Jeong-Uk

Funder

State Oceanic Administration

National Natural Science Foundation of China

Korea Evaluation Institute of Industrial Technology

the Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications), Ministry of Education.

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s11227-017-2218-0.pdf

Reference33 articles.

1. Goodfellow I, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, Ozair S, Courville A, Bengio Y (2014) Generative adversarial nets. In: Advances in Neural Information Processing Systems, pp 2672–2680

2. Mirza M, Osindero S (2014) Conditional generative adversarial nets. Comput Sci 2672–2680. arXiv:1411.1784

3. Lake BM, Salakhutdinov R, Tenenbaum JB (2015) Human-level concept learning through probabilistic program induction. Science 350(6266):1332–1338

4. Haines TSF, Mac Aodha O, Brostow GJ (2016) My text in your handwriting. ACM Trans Gr 35(3):26

5. Xu S, Jin T, Jiang H, Lau FCM (2009) Automatic generation of personal chinese handwriting by capturing the characteristics of personal handwriting. In: Conference on Innovative Applications of Artificial Intelligence, Pasadena, California, USA. DBLP, 14–16 July 2009

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