A comprehensive dataset for digital restoration of Dunhuang murals

Abstract The MuralDH dataset is an invaluable digital resource developed for the conservation and restoration of Dunhuang murals, which are critical components of global cultural heritage facing threats from degradation. This dataset comprises over 5000 high-resolution images tailored to 512 × 512 p...

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Bibliographic Details
Main Authors: Zishan Xu, Yuqing Yang, Qianzhen Fang, Wei Chen, Tingting Xu, Jueting Liu, Zehua Wang
Format: Article
Language:English
Published: Nature Portfolio 2024-09-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-024-03785-0