Image-based model parameter optimization using model-assisted generative adversarial networks

Alonso-Monsalve, Saúl; Whitehead, Leigh H.

Publication:
Image-based model parameter optimization using model-assisted generative adversarial networks

dc.affiliation.dpto	UC3M. Departamento de Informática	es
dc.contributor.author	Alonso-Monsalve, Saúl
dc.contributor.author	Whitehead, Leigh H.
dc.date.accessioned	2023-07-11T10:59:02Z
dc.date.available	2023-07-11T10:59:02Z
dc.date.issued	2020-12
dc.description.abstract	We propose and demonstrate the use of a model-assisted generative adversarial network (GAN) to produce fake images that accurately match true images through the variation of the parameters of the model that describes the features of the images. The generator learns the model parameter values that produce fake images that best match the true images. Two case studies show excellent agreement between the generated best match parameters and the true parameters. The best match model parameter values can be used to retune the default simulation to minimize any bias when applying image recognition techniques to fake and true images. In the case of a real-world experiment, the true images are experimental data with unknown true model parameter values, and the fake images are produced by a simulation that takes the model parameters as input. The model-assisted GAN uses a convolutional neural network to emulate the simulation for all parameter values that, when trained, can be used as a conditional generator for fast fake-image production.	en
dc.format.extent	6
dc.identifier.bibliographicCitation	Alonso-Monsalve, S., & Whitehead, L. H. (2020). Image-Based Model Parameter Optimization Using Model-Assisted Generative Adversarial Networks. IEEE transactions on neural networks and learning systems, 31(12), 5645-5650.	en
dc.identifier.doi	https://doi.org/10.1109/TNNLS.2020.2969327
dc.identifier.issn	2162-237X
dc.identifier.publicationfirstpage	5645
dc.identifier.publicationissue	12
dc.identifier.publicationlastpage	5650
dc.identifier.publicationtitle	IEEE Transactions on Neural Networks and Learning Systems	en
dc.identifier.publicationvolume	31
dc.identifier.uri	https://hdl.handle.net/10016/37800
dc.identifier.uxxi	AR/0000027766
dc.language.iso	eng
dc.publisher	IEEE
dc.rights	© The Author(s), 2020.	en
dc.rights	Atribución 3.0 España	*
dc.rights.accessRights	open access	en
dc.rights.uri	http://creativecommons.org/licenses/by/3.0/es/	*
dc.subject.eciencia	Informática	es
dc.subject.other	Fast simulation	en
dc.subject.other	Generative Adversarial Networks (Gans)	en
dc.subject.other	Model-assisted GAN	en
dc.subject.other	Parameter optimization	en
dc.title	Image-based model parameter optimization using model-assisted generative adversarial networks	en
dc.type	research article	*
dc.type.hasVersion	VoR	*
dspace.entity.type	Publication