Fig. 4: Results of the virtual restoration approach proposed by Sun et al. on paintings.
From: Machine learning for painting conservation: a state-of-the-art review
a Real damaged paintings; b Paintings with manually labelled damaged areas; c Virtual restoration results. Sun et al.36. Licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/).
