Evaluating Activation Functions in GAN Models for Virtual Inpainting : A Path to Architectural Heritage Restoration

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URI: https://hdl.handle.net/10641/6423
ISSN: 2076-3417
DOI: 10.3390/app14166854

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2024-08

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Publisher Copyright: © 2024 by the authors.

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architecture, cultural heritage, deep learning, generative adversarial networks, inpainting, virtual restoration, General Materials Science, Instrumentation, General Engineering, Process Chemistry and Technology, Computer Science Applications, Fluid Flow and Transfer Processes, Yes, yes

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Maitin, A M, Nogales, A, Delgado-Martos, E, Intra Sidola, G, Pesqueira-Calvo, C, Furnieles, G & García-Tejedor, Á J 2024, 'Evaluating Activation Functions in GAN Models for Virtual Inpainting : A Path to Architectural Heritage Restoration', Applied Sciences (Switzerland), vol. 14, no. 16, 6854. https://doi.org/10.3390/app14166854

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