Researchers have demonstrated that consumer smartphone LiDAR photogrammetry can digitally preserve fresh, unfixed mammalian hearts with an average dimensional error ...
Researchers have developed an occlusion-aware 3D Gaussian splatting framework that reduces visual artifacts and improves reconstruction consistency for crowdsourced heritage ...
A hybrid deep learning framework that combines ant colony optimization with a spatio-temporal variational autoencoder recognized nine opera teaching postures ...
Researchers have completed the first high-resolution digital documentation of three traditional Fijian bure types in Navala village, using LiDAR, photogrammetry, ...
A new AI framework called GECST combines generative adversarial networks with classical compositional rules to restore China's fading Dunhuang murals ...
A new study combines an improved graph capsule neural network with a user-aware A* path planning algorithm to create an ...
A research team combined UAV photogrammetry with a YOLOv8-based deep learning model to build digital archives and automatically detect roof ...
A mixed-methods study of museums and heritage sites in Southwest Nigeria finds that 95 percent of stakeholders rate digital preservation ...
Researchers at Ningxia University have developed SPMTNet, a structural-prior-guided multi-task AI framework that recognizes Tangut characters by learning their internal ...
Researchers have developed SteleSR, an AI framework that restores weathered ancient stele inscriptions by combining character-structure knowledge from language models ...
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