Results 31 to 40 of about 60,338 (274)
Remote Sensing, 2021 Recently, generative adversarial network (GAN)-based methods for hyperspectral image (HSI) classification have attracted research attention due to their ability to alleviate the challenges brought by having limited labeled samples.
Hongbo Liang, Wenxing Bao, Xiangfei Shen
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Pal-GAN: Palette-conditioned Generative Adversarial Networks
Journal of Computational Vision and Imaging Systems, 2021 Recent advances in Generative Adversarial Networks (GANs) have shown great progress on a large variety of tasks. A common technique used to yield greater diversity of samples is conditioning on class labels. Conditioning on high-dimensional structured or unstructured information has also been shown to improve generation results, e.g.
Graham Taylor, Adam Balint
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Advances in generative adversarial network
Tongxin xuebao, 2018 Generative adversarial network (GAN) have swiftly become the focus of considerable research in generative models soon after its emergence,whose academic research and industry applications have yielded a stream of further progress along with the ...
Wanliang WANG, Zhuorong LI
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Applications of Generative Adversarial Networks in Medical Image Translation
Chinese Journal of Magnetic Resonance, 2022 In recent years, the generative adversarial network (GAN) has attracted widespread attention with its unique adversarial training mechanism. Its applications have gradually extended to the field of medical imaging, and much excellent research has emerged.
Xiao CHANG +3 more
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Text Generation Based on Generative Adversarial Nets with Latent Variable
, 2018 In this paper, we propose a model using generative adversarial net (GAN) to generate realistic text. Instead of using standard GAN, we combine variational autoencoder (VAE) with generative adversarial net. The use of high-level latent random variables is
Qin, Zengchang, Wan, Tao, Wang, Heng
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GAN Tunnel: Network Traffic Steganography by Using GANs to Counter Internet Traffic Classifiers
IEEE Access, 2020 In this paper, we introduce a novel traffic masking method, called Generative Adversarial Network (GAN) tunnel, to protect the identity of applications that generate network traffic from classification by adversarial Internet traffic classifiers (ITCs ...
Sina Fathi-Kazerooni +1 more
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Generative Adversarial Optical Networks Using Diffractive Layers for Digit and Action Generation
PhotonicsWithin the traditional electronic neural network framework, Generative Adversarial Networks (GANs) have achieved extensive applications across multiple domains, including image synthesis, style transfer and data augmentation.
Pei Hu +3 more
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A Novel Approach to Artistic Textual Visualization via GAN
, 2017 While the visualization of statistical data tends to a mature technology, the visualization of textual data is still in its infancy, especially for the artistic text.
Ma, Muhan, Ma, Yichi
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Compression artifacts reduction by improved generative adversarial networks
EURASIP Journal on Image and Video Processing, 2019 In this paper, we propose an improved generative adversarial network (GAN) for image compression artifacts reduction task (artifacts reduction by GANs, ARGAN).
Zengshun Zhao +5 more
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Rapid measurements and phase transition detections made simple by AC-GANs
SciPost Physics CoreIn recent years, significant attention has been paid to using end-to-end neural networks for analyzing Monte Carlo data. However, the exploration of non-end-to-end generative adversarial neural networks remains limited.
Jiewei Ding, Ho-Kin Tang, Wing Chi Yu
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