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High-resolution image inpainting using a probabilistic framework for diverse images with large arbitrary masks

Addressing inpainting challenges in high-resolution images remains a complex task. The most recent image inpainting techniques rely on machine learning models; however, a major limitation of supervised methods is their dependence on end-to-end training. Even minor changes to the input often necessit...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: G. Sumathi, M. Uma Devi
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2025-07-01
Schriftenreihe:Frontiers in Artificial Intelligence
Schlagworte:
image inpainting
probabilistic framework
generative adversarial network
prior estimation
Papoulis–Gerchberg algorithm
MAP estimation
Online-Zugang:https://www.frontiersin.org/articles/10.3389/frai.2025.1614608/full
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