TY - CONF AU - Itagaki,M. AU - Fujita,H. AU - Ramirez,P.B. AU - Miyao,T. AU - Kawano,K. KW - cyclegan KW - mask KW - Oyu Stone Circle KW - restoration T1 - MaskedCycleGAN for Image Transformation of Oyu Stone Circles: A Comparison Between U-Net and ResNet LA - eng PY - 2025/// SP - 104 EP - 114 T2 - Lecture Notes in Electrical Engineering SN - 1876-1119 SN - 9789819658473 VL - 1417 LNEE PB - Springer Science and Business Media Deutschland GmbH AB - Attempts have been made to reconstruct the original images of the sundial-like stone settings at the ?yu Stone Circles in Kazuno City, Akita Prefecture, which are part of a World Heritage site, using CycleGAN. Images of riverbed stones have been utilized as the target due to the absence of recently constructed sundial-like stone settings. However, since CycleGAN is designed to transform the entire image to resemble the target image, the desired outcomes have not been achieved. Consequently, experiments have been conducted with a modified approach called Masked CycleGAN, where the transformation is focused solely on the stone parts of the input images. Although a decrease in loss values has been observed with ResNet compared to U-Net within the structure of the generator, the anticipated results have not been realized. A lack of sufficient training data is considered to be a contributing factor (Creating a Technological Infrastructure for the Digital Restoration of Cultural Properties Using Statistical Image Processing and Deep Learning Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B), Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, Apr, 2022–Feb, 2026. Establishing a technical basis for statistical image processing and deep learning for the digital restoration of cultural heritage. Grants-in-Aid for Scientific Research Grant-in-Aid for Challenging Research (Exploratory), Grant-in-Aid for Challenging Research (Exploratory), Japan Society for the Promotion of Science, Jun, 2022–Mar, 2025). DO - 10.1007/978-981-96-5848-0_10 UR - https://portalcientifico.uah.es/documentos/68b33d722f359d6e8f724a78 DP - Dialnet - Portal de la Investigación ER -