Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facia...
Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation
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New York: Springer US
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English
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New York: Springer US
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There is a growing interest in using generative adversarial networks (GANs) to produce image content that is indistinguishable from real images as judged by a typical person. A number of GAN variants for this purpose have been proposed; however, evaluating GAN performance is inherently difficult because current methods for measuring the quality of...
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Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation
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TN_cdi_proquest_journals_2919499641
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2919499641
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ISSN
1866-9956
E-ISSN
1866-9964
DOI
10.1007/s12559-019-09670-y
