Expert Systems publishes a new CEIEC article: “ARQGAN: an evaluation of generative adversarial network approaches for automatic virtual inpainting restoration of Greek temples”

CEIEC researchers Alberto Nogales and Álvaro Garcia Tejedor, alongside Emilio Delgado (Architecture, Universidad Francisco de Vitoria) and Ángel Melchor (alumni, Universidad Francisco de Vitoria) have just published a paper entitled “ARQGAN: an evaluation of generative adversarial network approaches for automatic virtual inpainting restoration of Greek temples” in Expert Systems with Applications journal (Q1 in artificial intelligence). This work proposes a methodology to automatically rebuild remains of greek temples represented by images obtained from 3D models. To perform that, GAN models have been used which are able to find the missing architectonical elements of the image, adding them automatically.

Available at: https://www.sciencedirect.com/science/article/abs/pii/S0957417421005339

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