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A Hybrid Representation of Word Images for Keyword Spotting Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Customizable GAN: Customizable Image Synthesis Based on Adversarial Learning

Authors : Zhiqiang Zhang, Wenxin Yu, Jinjia Zhou, Xuewen Zhang, Jialiang Tang, Siyuan Li, Ning Jiang, Gang He, Gang He, Zhuo Yang

Published in: Neural Information Processing

Publisher: Springer International Publishing

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Abstract

In this paper, we propose a highly flexible and controllable image synthesis method based on the simple contour and text description. The contour determines the object’s basic shape, and the text describes the specific content of the object. The method is verified in the Caltech-UCSD Birds (CUB) and Oxford-102 flower datasets. The experimental results demonstrate its effectiveness and superiority. Simultaneously, our method can synthesize the high-quality image synthesis results based on artificial hand-drawing contour and text description, which demonstrates the high flexibility and customizability of our method further.

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Literature
1.
Goodfellow, I.J., et al.: Generative adversarial nets. In: Neural Information Processing Systems, vol. 27, pp. 2672–2680 (2014)
2.
Isola, P., Zhu, J., Zhou, T., Efros, A.A.: Image-to-image translation with conditional adversarial networks. In: Computer Vision and Pattern Recognition, pp. 5967–5976 (2017)
3.
4.
Reed, S.E., Akata, Z., Yan, X., Logeswaran, L., Schiele, B., Lee, H.: Generative adversarial text to image synthesis. In: International Conference on Machine Learning, pp. 1060–1069 (2016)
5.
Zhang, H., et al.: StackGAN: text to photo-realistic image synthesis with stacked generative adversarial networks. In: International Conference on Computer Vision, pp. 5908–5916 (2017)
6.
Xu, T., et al.: AttnGAN: fine-grained text to image generation with attentional generative adversarial networks. In: Computer Vision and Pattern Recognition, pp. 1316–1324 (2018)
7.
Zhu, M., Pan, P., Chen, W., Yang, Y.: DM-GAN: dynamic memory generative adversarial networks for text-to-image synthesis. In: Computer Vision and Pattern Recognition, pp. 5802–5810 (2019)
8.
Reed, S.E., Akata, Z., Mohan, S., Tenka, S., Schiele, B., Lee, H.: Learning what and where to draw. In: Neural Information Processing Systems, vol. 29, pp. 885–895 (2016)
9.
Wah, C., Branson, S., Welinder, P., Perona, P., Belongie, S.: The caltech-UCSD birds-200-2011 dataset. Technical report CNS-TR-2011-001, California Institute of Technology (2011)
10.
Nilsback, M.-E., Zisserman, A.: Automated flower classification over a large number of classes. In: Indian Conference on Computer Vision, Graphics and Image Processing, pp. 722–729 (2008)
11.
12.
Ioffe, S., Szegedy, C.: Batch normalization: accelerating deep network training by reducing internal covariate shift. In: International Conference on Machine Learning, pp. 448–456 (2015)
13.
Reed, S.E., Akata, Z., Lee, H., Schiele, B.: Learning deep representations of fine-grained visual descriptions. In: Computer Vision and Pattern Recognition, pp. 49–58 (2016)
14.
He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Computer Vision and Pattern Recognition, pp. 770–778 (2016)
15.
16.
Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. In: International Conference on Learning Representations (2015)
Metadata
Title
Customizable GAN: Customizable Image Synthesis Based on Adversarial Learning
Authors
Zhiqiang Zhang
Wenxin Yu
Jinjia Zhou
Xuewen Zhang
Jialiang Tang
Siyuan Li
Ning Jiang
Gang He
Gang He
Zhuo Yang
Copyright Year
2020
Book
Neural Information Processing

Print ISBN: 978-3-030-63819-1

Electronic ISBN: 978-3-030-63820-7

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-63820-7_38

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