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Image Inpainting Based on Patch-GANs

In this paper, we propose a novel image inpainting framework that takes advantage of holistic and structure information of the broken input image. Different from the existing models that complete the broken pictures using the holistic features of the input, our method adopts Patch-generative adversa...

Ausführliche Beschreibung

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Bibliografische Detailangaben
Hauptverfasser: Liuchun Yuan, Congcong Ruan, Haifeng Hu, Dihu Chen
Format: Artigo
Sprache:Inglês
Veröffentlicht: IEEE 2019-01-01
Schriftenreihe:IEEE Access
Schlagworte:
Online-Zugang:https://ieeexplore.ieee.org/document/8684827/
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