A survey and taxonomy of adversarial neural networks for text‐to‐image synthesis

Author:

Agnese Jorge1,Herrera Jonathan1,Tao Haicheng2,Zhu Xingquan1ORCID

Affiliation:

1. Department of Computer & Electrical Engineering and Computer Science Florida Atlantic University Boca Raton Florida

2. Jiangsu Provincial Key Laboratory of E‐Business Nanjing University of Finance and Economics Nanjing China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Computer Science

Reference80 articles.

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2. Bidirectional recurrent neural networks

3. Wah C. Branson S. Welinder P. Perona P. &Belongie S.(2011).The Caltech‐UCSD Birds‐200‐2011 dataset. Technical Report CNS‐TR‐2011‐001 California Institute of Technology.

4. Xu K. Ba J. Kiros R. Cho K. Courville A. Salakhutdinov R. …Bengio Y.(2015). Show attend and tell: Neural image caption generation with visual attention. InInternational conference on machine learning(pp. 2048–2057). Lille France. Retrieved fromJMLR.org

5. Xu T. Zhang P. Huang Q. Zhang H. Gan Z. Huang X. &He X. (2018) Attngan: Fine‐grained text to image generation with attentional generative adversarial networks. In2018 IEEE/CVF conference on computer vision and pattern recognition(pp. 1316–1324). Salt Lake City UT: IEEE Computer Society.

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