Ancient FreSCo

FreSCo (a recurring acronym in diverse research) broadly refers to computational frameworks designed to analyze and reconstruct visual data, primarily focusing on images and videos. Current research employs FreSCo approaches for tasks ranging from analyzing social media imagery to restoring damaged ancient murals, leveraging techniques like deep learning (including convolutional neural networks and transformers), and advanced image processing methods for enhancement and inpainting. These frameworks offer valuable tools for digital humanities, cultural heritage preservation, and other fields requiring large-scale image analysis and restoration, improving both the accessibility and understanding of visual information.