Nov 28, 2022 · In this work, an efficient feature enhancement network is proposed to locate the inpainted regions in the digital image.
It consists of three different blocks: artifact enhancement block, feature extraction block, and forgery output block. The first block is equipped with 5 ...
Theoretical and numerical analyses support the effectiveness of the feature enhancement network in representing the artifacts in inpainted images, ...
Motivated by this, in this work, an efficient feature enhancement network is proposed to locate the inpainted regions in the digital image. Firstly, we design ...
Jun 22, 2024 · We propose a method for inpainting localization using an inter-intra similarity (IIS) module based on image frequency features.
Jun 4, 2024 · In this paper, to facilitate research efforts, we construct a DA-HFNet forged image dataset guided by text or image-assisted GAN and Diffusion ...
In this paper, we propose a semi-supervised image manipulation localization framework, employing semi-supervised learning to use unannotated images for deep ...
Hence, a high-pass pre-filtering module is designed to get image residuals for enhancing inpainting traces. Then, a feature extraction module, which learns ...
Jun 25, 2024 · Abstract—Deep video inpainting is typically used as malicious manipulation to remove important objects for creating fake videos.
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The objective of this paper is to provide a comprehensive review of existing inpainting algorithms and forgery detections.