On Using Perceptual Loss within the U-Net Architecture for the Semantic Inpainting of Textile Artefacts with Traditional Motifs - researchr publication related

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Catalin Stoean, Nebojsa Bacanin, Ruxandra Stoean, Leonard Ionescu, Cristian Alecsa, Mircea Hotoleanu, Miguel A. Atencia Ruiz, Gonzalo Joya. On Using Perceptual Loss within the U-Net Architecture for the Semantic Inpainting of Textile Artefacts with Traditional Motifs. In Bruno Buchberger, Mircea Marin, Viorel Negru, Daniela Zaharie, editors, 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2022, Hagenberg / Linz, Austria, September 12-15, 2022. pages 276-283, IEEE, 2022. [doi]

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Study on Semantic Inpainting Deep Learning Models for Artefacts with Traditional MotifsCatalin Stoean, Nebojsa Bacanin, Zeev Volkovich, Leonard Ionescu, Ruxandra Stoean. iwann 2023: 479-490 [doi]

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