Multi‐stage image inpainting using improved partial convolutions Article Swipe
Cheng Li
,
Dan Xu
,
Hao Zhang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1049/ipr2.13178
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1049/ipr2.13178
In recent years, deep learning models have dramatically influenced image inpainting. However, many existing studies still suffer from over‐smoothed or blurred textures when missing regions are large or contain rich visual details. To restore textures at a fine‐grained level, a multi‐stage inpainting approach is proposed, which applies a series of partial inpainting modules as well as a progressive inpainting module to inpaint missing areas from their boundaries to the centre successively. Some improvements are made on the partial convolutions to reduce artifacts like blurriness, which require a convolution kernel to contain known pixels more than a certain proportion. Towards photorealistic inpainting results, the intermediate outputs from each stage are used to compute the loss. Finally, to facilitate the training process, a multi‐step training is designed that progressively adds inpainting modules to optimize the model. Experiments show that this method outperforms the current excellent techniques on the publicly available datasets: CelebA, Places2 and Paris StreetView.
Related Topics
Concepts
Inpainting
Convolution (computer science)
Artificial intelligence
Computer science
Kernel (algebra)
Process (computing)
Image (mathematics)
Pixel
Computer vision
Filling-in
Pattern recognition (psychology)
Stage (stratigraphy)
Mathematics
Artificial neural network
Geology
Combinatorics
Paleontology
Operating system
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1049/ipr2.13178
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/ipr2.13178
- OA Status
- gold
- Cited By
- 1
- References
- 33
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401113805
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4401113805Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1049/ipr2.13178Digital Object Identifier
- Title
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Multi‐stage image inpainting using improved partial convolutionsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-07-30Full publication date if available
- Authors
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Cheng Li, Dan Xu, Hao ZhangList of authors in order
- Landing page
-
https://doi.org/10.1049/ipr2.13178Publisher landing page
- PDF URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/ipr2.13178Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/ipr2.13178Direct OA link when available
- Concepts
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Inpainting, Convolution (computer science), Artificial intelligence, Computer science, Kernel (algebra), Process (computing), Image (mathematics), Pixel, Computer vision, Filling-in, Pattern recognition (psychology), Stage (stratigraphy), Mathematics, Artificial neural network, Geology, Combinatorics, Paleontology, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- References (count)
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33Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| publication_date | 2024-07-30 |
| publication_year | 2024 |
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