BriefGPT.xyz
Feb, 2017
ArtGAN: 有条件的分类生成对抗网络进行艺术品综合
ArtGAN: Artwork Synthesis with Conditional Categorial GANs
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Wei Ren Tan, Chee Seng Chan, Hernan Aguirre, Kiyoshi Tanaka
TL;DR
本文提出了一种生成式对抗网络的扩展——ARTGAN，用于合成具有抽象特征的艺术品等复杂挑战性图像。通过允许唯一标签信息的反向传播，该方法更快地进行学习并且能够更好地生成高质量的图像。实验显示，ARTGAN 可以创造出逼真的艺术作品，并能够生成全局外观自然、清晰的实际图像。
Abstract
This paper proposes an extension to the
generative adversarial networks
(GANs), namely as
artgan
to synthetically generate more challenging and complex images such as artwork that have abstract characteristics. T
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