噪声模型对gan合成图像的影响

2020 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF) Pub Date : 2020-06-01 DOI:10.1109/WECONF48837.2020.9131529

V. Yachnaya, M. A. Mikhalkova, E. Yablokov, V. Lutsiv

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引用次数: 0

摘要

本文对生成对抗网络(GAN)合成的图像进行了研究。所研究的网络是用随机样本的类噪声向量来刺激其输入的。输入噪声参数的变化对合成图像性能的影响是本研究的重点。

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Noise Model Effect upon the GAN-Synthesized Images

The article is devoted to studying of the images synthesized by Generative Adversarial Networks (GAN). The investigated networks are stimulated with the noise-like vectors of random samples fed into their inputs. The influence of changes of input noise parameters upon the properties of synthesized images is of primary interest in this research.

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2020 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)

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