Comparison of CoModGANs, LaMa and GLIDE for Art Inpainting- Completing M.C Escher's Print Gallery
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Abstract (arXiv)
Digital art restoration has benefited from inpainting models to correct the degradation or missing sections of a painting. This work compares three current state-of-the art models for inpainting of large missing regions. We provide qualitative and quantitative comparison of the performance by CoModGANs, LaMa and GLIDE in inpainting of blurry and missing sections of images. We use Escher's incomplete painting Print Gallery as our test study since it presents several of the challenges commonly present in restorative inpainting.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 11 of its 27 references that are in the map. First posted on arXiv 3 May 2022.
Builds on
11 of 27 references.
References · 11
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- 2021GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Modelscited by 3,614
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- 2021Resolution-robust Large Mask Inpainting with Fourier Convolutionscited by 738
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Citing papers per year: 2026: 1.
1 paper.
- 2026Moore, Escher, Penrose: A Conformal Golden Braidcited by 0
- 2026Moore, Escher, Penrose: A Conformal Golden Braid1 Oct 2026