HGAN: Hyperbolic Generative Adversarial Network

Recently, Hyperbolic Spaces in the context of Non-Euclidean Deep Learning have gained popularity because of their ability to represent hierarchical data. We propose that it is possible to take advantage of the hierarchical characteristic present in the images by using hyperbolic neural networks in a...

書誌詳細
出版年:	IEEE Access
主要な著者:	Diego Lazcano, Nicolas Fredes Franco, Werner Creixell
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2021-01-01
主題:	GAN WGAN CGAN StyleGAN2 hyperbolic spaces Poincaré ball
オンライン･アクセス:	https://ieeexplore.ieee.org/document/9474500/

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