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Digital art restoration has benefited from inpainting models to correct thedegradation or missing sections of a painting. This work compares three currentstate-of-the art models for inpainting of large missing regions. We providequalitative and quantitative comparison of the performance by CoModGANs, LaMaand GLIDE in inpainting of blurry and missing sections of images. We useEscher's incomplete painting Print Gallery as our test study since it presentsseveral of the challenges commonly present in restorative inpainting.

Comparison of CoModGANs, LaMa and GLIDE for Art Inpainting- Completing M.C Escher's Print Gallery