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- W4229075593 abstract "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." @default.
- W4229075593 created "2022-05-08" @default.
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- W4229075593 date "2022-05-03" @default.
- W4229075593 modified "2023-10-17" @default.
- W4229075593 title "Comparison of CoModGANs, LaMa and GLIDE for Art Inpainting- Completing M.C Escher's Print Gallery" @default.
- W4229075593 doi "https://doi.org/10.48550/arxiv.2205.01741" @default.
- W4229075593 hasPublicationYear "2022" @default.
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