Quaternion generative adversarial networks

E Grassucci, E Cicero, D Comminiello - Generative Adversarial Learning …, 2022 - Springer
Abstract Latest Generative Adversarial Networks (GANs) are gathering outstanding results
through a large-scale training, thus employing models composed of millions of parameters …
被引用次数：35 相关文章

Quaternion Generative Adversarial Networks

E Grassucci, E Cicero, D Comminiello - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Abstract Latest Generative Adversarial Networks (GANs) are gathering outstanding results
through a large-scale training, thus employing models composed of millions of parameters …
[PDF] researchgate.net

[PDF][PDF] Quaternion Generative Adversarial Networks

E Grassucci, E Cicero… - arXiv preprint arXiv …, 2021 - researchgate.net
Abstract Latest Generative Adversarial Networks (GANs) are gathering outstanding results
through a large-scale training, thus employing models composed of millions of parameters …

Quaternion Generative Adversarial Networks

E Grassucci, E Cicero, D Comminiello - arXiv preprint arXiv:2104.09630, 2021 - arxiv.org
Latest Generative Adversarial Networks (GANs) are gathering outstanding results through a
large-scale training, thus employing models composed of millions of parameters requiring …

Quaternion generative adversarial networks

E Grassucci, E Cicero, D Comminiello - INTELLIGENT SYSTEMS …, 2022 - iris.uniroma1.it
Abstract Latest Generative Adversarial Networks (GANs) are gathering outstanding results
through a large-scale training, thus employing models composed of millions of parameters …

Quaternion Generative Adversarial Networks

E Grassucci, E Cicero… - Generative Adversarial …, 2022 - books.google.com
Abstract Latest Generative Adversarial Networks (GANs) are gathering outstanding results
through a large-scale training, thus employing models composed of millions of parameters …

Quaternion Generative Adversarial Networks

E Grassucci, E Cicero, D Comminiello - Generative Adversarial Learning … - Springer
Abstract Latest Generative Adversarial Networks (GANs) are gathering outstanding results
through a large-scale training, thus employing models composed of millions of parameters …
[PDF] uniroma1.it

[PDF][PDF] Quaternion Generative Adversarial Networks

E Grassucci, E Cicero, D Comminiello - iris.uniroma1.it
Abstract Latest Generative Adversarial Networks (GANs) are gathering outstanding results
through a large-scale training, thus employing models composed of millions of parameters …