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Apr 13, 2023 · Image inpainting is to restore missing or damaged portions of the work, making it more clear and restoring a sense of unity to the work. The ...
Nov 21, 2014 · Abstract—This paper introduces a novel framework for examplar-based inpainting. It consists in performing first the inpainting on a coarse ...
In this paper, the pyramid decomposition consists in down-sampling only ... High-resolution image inpainting using multi-scale neural patch synthesis.
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Abstract— This introduces a new structure of exemplar- based inpainting. In this we combine both, inpainting method and super resolution method.
This paper introduces a novel framework for examplar-based inpainting. It consists in performing first the inpainting on a coarse version of the input image ...
Mar 19, 2024 · For densely conditioned tasks such as super-resolution, inpainting, and semantic synthesis, Latent Diffusion model [49] has demonstrated the ...
We propose a two-stage model for diverse inpaint- ing, where the first stage generates multiple coarse results each of which has a different structure, and the ...
Feb 22, 2024 · We present our transformer-based HINT approach to image inpainting, which takes advantage of our novel Mask-aware Pixel-shuffle Down-sampling ( ...
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May 23, 2020 · Our model can inpaint images as large as 8K with considerable hole sizes, which is intractable with previous learning-based approaches. We ...
