Self-Sparse Generative Adversarial Networks

Self-Sparse Generative Adversarial Networks

Generative adversarial networks (GANs) are an unsupervised generative model that learns data distribution through adversarial training. However, recent experiments indicated that GANs are difficult to train due to the requirement of optimization in the high dimensional parameter space and the zero g...

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Bibliografiske detaljer
Main Authors: Wenliang Qian, Yang Xu, Wangmeng Zuo, Hui Li
Format: Article
Sprog:English
Udgivet: Tsinghua University Press 2022-09-01
Serier:CAAI Artificial Intelligence Research
Fag:
generative adversarial networks
self-adaptive sparse transform module
self-sparse generative adversarial network (self-sparse gan)
Online adgang:https://www.sciopen.com/article/10.26599/AIR.2022.9150005

Internet

https://www.sciopen.com/article/10.26599/AIR.2022.9150005

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