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Face Image Inpainting With Evolutionary Generators

IEEE Signal Processing Letters, 2021
Recently, deep learning has become a mainstream method of image inpainting. It can not only restore the image texture, obtain high-level abstract features of images, but also restore semantic images such as human face images. Among these methods, generative adversarial networks (GANs) using autoencoder as the generator have become the promising model ...
Chong Han, Junli Wang
exaly   +2 more sources

Pluralistic Face Inpainting With Transformation of Attribute Information

IEEE Transactions on Multimedia, 2023
Yang ­Zhang   +2 more
exaly   +2 more sources

Deep Face Video Inpainting via UV Mapping

open access: yesIEEE Transactions on Image Processing, 2023
This paper addresses the problem of face video inpainting. Existing video inpainting methods target primarily at natural scenes with repetitive patterns. They do not make use of any prior knowledge of the face to help retrieve correspondences for the corrupted face.
Wenqi Yang   +2 more
exaly   +4 more sources

Face Inpainting with Pre-trained Image Transformers

2022 30th Signal Processing and Communications Applications Conference (SIU), 2022
Görüntü yamalama, bir görüntüdeki çeşitli içeriklerin eksik veya hasarlı bölgelerini gerçekçi bir şekilde doldurulmasına izin veren, belirsiz bir ters problemdir. Evrişimli Sinir Ağları (ESA veya Convolutional Neural Networks) estetik açıdan hoş içerik oluşturmak için yaygın olarak kullanılmaktadır ancak ESA’lar küresel özellikleri toplamak için ...
Gönç, Kaan   +3 more
openaire   +2 more sources

Face inpainting by feature guidance

2009 IEEE International Symposium on Circuits and Systems, 2009
Face image partially occluded or damaged can be repaired automatically. We proposed a new inpainting algorithm, based on patch guidance deduced from an existing face database, to recover the damaged portions. This newly proposed concept of guided inpainting method produces seamless faces which are hardly seen drawbacks.
Nick C. Tang   +4 more
openaire   +1 more source

Face Frontalization with Inpainting Method

Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition, 2019
Problems caused by large profile views are always holdback for face recognition and face reconstruction, such as texture missing problem. In this paper, we propose a method to generate frontal faces from faces of different poses in the wild. Different from previous works for face frontalization which only use GANs or only render a rotated 3D face model
Kaiyu Guo, Juyong Zhang
openaire   +1 more source

SwapInpaint: Identity-Specific Face Inpainting With Identity Swapping

IEEE Transactions on Circuits and Systems for Video Technology, 2022
As face editing scenarios have become popular, the face inpainting technique has become a hot topic. Although some existing methods can inpaint faces with preserved identity information, they fail to solve a more flexible inpainting problem that fills the “holes” with identity-specific content from other faces.
Wenmin Wang, Cheng Yu, Shixiong Zhang
exaly   +2 more sources

Semantic Prior Guided Face Inpainting

Proceedings of the ACM Multimedia Asia, 2019
Face inpainting is a sub-task of image inpainting designed to repair broken or occluded incomplete portraits. Due to the high complexity of face image details, inpainting on the face is more difficult. At present, face-related tasks often draw on excellent methods from face recognition and face detection, using multitasking to boost its effect ...
Zeyang Zhang   +3 more
openaire   +1 more source

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