Fig. 6: Qualitative comparison of restoration results on a real mural from Songxi village.
From: Digital restoration of ancient Jiangnan murals via proxy learning and structural guidance

a The original damaged mural. b The reference restoration manually created by a conservation expert. c Result from a baseline Image-to-Image approach. d Result from a general-purpose inpainting model. e Result from our ArtBooth model combined with a standard ControlNet (ArtBooth+StdCtrl), which shows residual artifacts and incomplete cleaning. f Our final SGPR result, demonstrating effective removal of deterioration while preserving fine structural details and stylistic consistency with the expert reference.