Over time, crack pattern (craquelure) inevitably develops in paintings as a sign of their
ageing, sometimes accompanied by larger losses of paint (lacunas). In restoration …

Machine learning, deep learning, object detection, and other related technologies have
gradually matured, but their application in the field of cultural asset protection and art …

In recent decades, cultural heritage research—and in particular art investigation—has been
undergoing a digital revolution. This is due both to improvements in the digitization and the …

Preserving and restoring ancient murals is a critical task to maintain the cultural heritage.
However, the ancient murals often suffer from degradation over time, including fading …

Abstract Paintings deteriorate over time due to aging and storage conditions, with cracks
being a common form of degradation. Detecting and mapping these cracks is crucial for art …

Cracks (craquelure) and paint losses are the main types of deterioration of master paintings
as they are ageing. We explore the potential of deep-learning-based methods for virtual …

Застосування цифрових технологій у галузі консервації та реставрації є перспективним
напрямом, оскільки сприятиме зростанню рівня точності при проведенні досліджень …