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...

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Bibliographic Details

Published in:	Frontiers in Artificial Intelligence
Main Authors:	G. Sumathi, M. Uma Devi
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-07-01
Subjects:	image inpainting probabilistic framework generative adversarial network prior estimation Papoulis–Gerchberg algorithm MAP estimation
Online Access:	https://www.frontiersin.org/articles/10.3389/frai.2025.1614608/full