Artwork restoration using paired image translation-based generative adversarial networks
Preservation of the artworks has historical and cultural importance. However, with time, environmental factors severely affect artworks, and these damages are often complicated to repair manually and through traditional methods. We propose a method to restore artwork that has been damaged over time....
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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
EDP Sciences
2023-01-01
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| Collection: | ITM Web of Conferences |
| Sujets: | |
| Accès en ligne: | https://www.itm-conferences.org/articles/itmconf/pdf/2023/04/itmconf_I3cs2023_01013.pdf |
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