Artist-Net: Decorating the Inferred Content With Unified Style for Image Inpainting

Recently, context learning networks have shown promise in filling large holes in natural images. These networks can decorate the predicted contents with high-frequency details by borrowing or copying neural information from the known region. However, this operation might introduce undesired content...

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Autores principales: Liang Liao, Ruimin Hu, Jing Xiao, Zhongyuan Wang
Formato: article
Lenguaje:EN
Publicado: IEEE 2019
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Acceso en línea:https://doaj.org/article/d2d758844a1b48b6a09a7d4b1ef2b6a2
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