Acta Photonica Sinica, Volume. 51, Issue 12, 1210004(2022)

Infrared Ship Image Generation Algorithm Based on ISE-StyleGAN

Haijun LI1, Fancheng KONG1、*, Junjie MU1, Xiao LIU2, Zhenbin DU2, and Yun LIN3
Author Affiliations
  • 1Coastal Defense College,Naval Aviation University,Yantai,Shandong 264001,China
  • 2School of Computing,Yantai University,Yantai,Shandong 264005,China
  • 3Office of Academic Affairs,Yantai University,Yantai,Shandong 264005,China
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    References(18)

    [1] KINGMA D P, WELLING M. Auto-encoding variational Bayes[J]. arXiv preprint.

    [2] HINTON G, SALAKHUTDINOV R. Reducing the dimensionality of data with neural networks[J]. Science, 313, 504-507(2006).

    [3] GOODFELLOW I, POUGET J, MIRZA M et al. Generative adversarial nets[C], 2672-2680(2014).

    [4] DONAHUE J, KRAHENBUHL P, DARRELL T. Adversarial feature learning[C](2017).

    [5] RADFORD A, METZ L, CHINTALA S. Unsupervised representation learning with deep convolutional generative adversarial networks[J]. Computer Science(2015).

    [6] ZHU J Y, PARK T, ISOLA P et al. Unpaired image-to-image translation using cycle-consistent adversarial networks[C], 2242-2251(2017).

    [7] CHEN X, DUAN Y, HOUTHOOFTR et al. InfoGAN:interpretable representation learning by information maximizing generative adversarial nets[C](2016).

    [8] UTKARSH O, LI Y J, LU J W et al. Few-shot image generation via cross-domain correspondence[C], 10743-10752(2021).

    [9] LIU R, GE Y X, CHING L C et al. DivCo: diverse conditional image synthesis via contrastive generative adversarial network[C], 16377-16386(2021).

    [10] GUO J Y, LEI B, DING C B et al. Synthetic aperture radar image synthesis by using generative adversarial nets[J]. IEEE Geoscience and Remote Sensing Letters, 14, 1111-1115(2017).

    [11] CUBUK E D, ZOPH B, MANE D et al. Auto augment: learning augmentation strategies from data[C], 113-123(2019).

    [12] KARRAS T, LAINE S, AILA T. A style-based generator architecture for generative adversarial networks[C], 4401-4410(2019).

    [13] ZHANG H, GOODFELLOW I, METAXAS D et al. Self-attention generative adversarial networks[C](2018).

    [14] ZHAO C, SHUAI R J, MA L et al. Dermoscopy image classification based on StyleGAN and DenseNet201[J]. IEEE Access, 8659-8679(2021).

    [15] RINON G, DANA C, BAMIT et al. SWAGAN: a style-based WAvelet-driven generative model[J]. arXiv preprint.

    [16] ISHAAN G, FARUK A, MARTIN A et al. Improved training of wasserstein GANs[J]. arXiv preprint.

    [17] MARTIN H, HUBERT R, THOMAS U et al. GANs trained by a two time-scale update rule converge to a local nash equilibrium[C], 6629-6640(2017).

    [18] WANG Z, BOVIK A C, SHEIKH R H et al. Image quality assessment: from error visibility to structural similarity[J]. IEEE Transactions on Image Processing, 13, 600-612(2004).

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    Haijun LI, Fancheng KONG, Junjie MU, Xiao LIU, Zhenbin DU, Yun LIN. Infrared Ship Image Generation Algorithm Based on ISE-StyleGAN[J]. Acta Photonica Sinica, 2022, 51(12): 1210004

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    Paper Information

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    Received: May. 18, 2022

    Accepted: Jul. 6, 2022

    Published Online: Feb. 6, 2023

    The Author Email: Fancheng KONG (879445564@qq.com)

    DOI:10.3788/gzxb20225112.1210004

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