Results 11 to 20 of about 7,762 (182)
Face Inpainting with Deep Generative Models [PDF]
International Journal of Computational Intelligence Systems, 2019 Semantic face inpainting from corrupted images is a challenging problem in computer vision and has many practical applications. Different from well-studied nature image inpainting, the face inpainting task often needs to fill pixels semantically into a ...
Zhenping Qiang +3 more
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Face Inpainting via Nested Generative Adversarial Networks [PDF]
IEEE Access, 2019 Face inpainting aims to repaired damaged images caused by occlusion or cover. In recent years, deep learning based approaches have shown promising results for the challenging task of image inpainting. However, there are still limitation in reconstructing
Zhijiang Li +5 more
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Generative face inpainting hashing for occluded face retrieval. [PDF]
Int J Mach Learn Cybern, 2023 COVID-19 has resulted in a significant impact on individual lives, bringing a unique challenge for face retrieval under occlusion. In this paper, an occluded face retrieval method which consists of generator, discriminator, and deep hashing retrieval network is proposed for face retrieval in a large-scale face image dataset under variety of occlusion ...
Yang Y +5 more
europepmc +3 more sources
Mask removal : Face inpainting via attributes. [PDF]
Multimed Tools Appl, 2022 Due to the outbreak of the COVID-19 pandemic, wearing masks in public areas has become an effective way to slow the spread of disease. However, it also brings some challenges to applications in daily life as half of the face is occluded. Therefore, the idea of removing masks by face inpainting appeared.
Jiang Y, Yang F, Bian Z, Lu C, Xia S.
europepmc +3 more sources
E2F-GAN: Eyes-to-Face Inpainting via Edge-Aware Coarse-to-Fine GANs
IEEE Access, 2022 Face inpainting is a challenging task aiming to fill the damaged or masked regions in face images with plausibly synthesized contents. Based on the given information, the reconstructed regions should look realistic and more importantly preserve the ...
Ahmad Hassanpour +6 more
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Face Image Inpainting Method Based on Multi-Scale Feature Fusion [PDF]
Jisuanji gongcheng, 2021 When dealing with severely corrupted images,the traditional image inpainting methods often produce blurry or too smooth regions in the restored images,and have difficulty in reconstructing a reasonable face image structure.To address the problem,this ...
BAI Zongwen, YI Tingting, ZHOU Meili, WEI Wei
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JUTI: Jurnal Ilmiah Teknologi Informasi, 2020 Facial inpainting or face restoration is a process to reconstruct some missing region on face images such that the inpainting results still can be seen as a realistic and original image without any missing region, in such a way that the observer could ...
Avin Maulana +2 more
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Generative Facial Prior and Semantic Guidance for Iterative Face Inpainting
IEEE Access, 2022 Image inpainting techniques have been greatly improved by relying on structure and texture priors. However, damaged original images or rough predictions cannot provide sufficient texture information and accurate structural priors, leading to a drop in ...
Xin-Yu Zhang +4 more
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IRL-Net: Inpainted Region Localization Network via Spatial Attention
IEEE Access, 2023 Identifying manipulated regions in images is a challenging task due to the existence of very accurate image inpainting techniques leaving almost unnoticeable traces in tampered regions.
Amir Etefaghi Daryani +5 more
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HiMFR: A Hybrid Masked Face Recognition Through Face Inpainting
CoRR, 2022 To recognize the masked face, one of the possible solutions could be to restore the occluded part of the face first and then apply the face recognition method. Inspired by the recent image inpainting methods, we propose an end-to-end hybrid masked face recognition system, namely HiMFR, consisting of three significant parts: masked face detector, face ...
Md Imran Hosen, Md Baharul Islam
openaire +2 more sources