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Face Inpainting with Local Linear Representations

Procedings of the British Machine Vision Conference 2004, 2004
A numberof investigatorshave had success usingdomainspecific priorknowledgeto produce improved superresolution images of faces (“hallucinating faces”). These efforts address the scenario where a face image is obtained from a low-resolutioncamera. A related but less studied problem occurs when the missing information is the result of occlusion rather ...
Zhenyao Mo   +2 more
openaire   +1 more source

Large Inpainting of Face Images With Trainlets

IEEE Signal Processing Letters, 2016
Image inpainting is concerned with the completion of missing data in an image. When the area to inpaint is relatively large, this problem becomes challenging. In these cases, traditional methods based on patch models and image propagation are limited, since they fail to consider a global perspective of the problem.
Jeremias Sulam, Michael Elad
openaire   +1 more source

Audio-Assisted Image Inpainting for Talking Faces

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
The goal of our work is to complete missing areas of images of talking faces, exploiting information from both the visual and audio modalities. Existing image inpainting methods rely solely on visual content that doesn’t always provide sufficient information for the task.
Alexandros Koumparoulis   +3 more
openaire   +1 more source

Inpainting of sparse occlusion in face recognition

2012 19th IEEE International Conference on Image Processing, 2012
Facial occlusion is a critical issue in many face recognition applications. Existing approaches of face recognition under occlusion conditions mainly focus on the conventional facial accessories (such as sunglasses and scarf) and thus presume that the occluded region is dense and contiguous.
Rui Min 0002, Jean-Luc Dugelay
openaire   +1 more source

Generative Landmark Guided Face Inpainting

2020
It is challenging to inpaint face images in the wild, due to the large variation of appearance, such as different poses, expressions and occlusions. A good inpainting algorithm should guarantee the realism of output, including the topological structure among eyes, nose and mouth, as well as the attribute consistency on pose, gender, ethnicity ...
Yang Yang 0062, Xiaojie Guo 0001
openaire   +1 more source

An inpainting method for face images

2011 IEEE 13th International Conference on Communication Technology, 2011
The digital inpainting process is a process of filling the unknown region of an image and its aim is to inpaint the damaged image and make the observer not aware of that this image has been damaged off and has been inpainted. In this paper, Criminisi algorithm has been studied and improved. In the improved method the gradient term is taken into account
null Lixin Yin   +2 more
openaire   +1 more source

Gradient-aware blind face inpainting for deep face verification

Neurocomputing, 2019
Abstract ID face photos are widely used for identity verification in many business authentication situations. To avoid any infringement and misuse, the ID photos provided by the relevant government agencies and business organizations are always corrupted with designed watermarks, such as random wave lines or meshes. These corrupted images are further
Fuzhang Wu   +3 more
openaire   +1 more source

Face inpainting based on high-level facial attributes

Computer Vision and Image Understanding, 2017
A novel approach is proposed for facial inpainting based on a guidance face.The guidance face matches with the high-level facial attributes of the target face.The facial attributes considered include gender, ethnicity, expression and skin tone.Inpainting is done on intrinsic image layers to cope with illumination differences.An MRF optimization is ...
Jampour, Chen Li, Lap-Fai Yu
exaly   +2 more sources

Extracting Facial Features and Face Inpainting

2008
In recent years, facial recognition techniques can be applicable in varies fields and has significant results. In obtaining facial images, if the face image were covered or damaged, the degree of error and inaccuracy will increase significantly. Therefore, the purpose of this paper is not only for extracting facial features, but also to recover the ...
Lin Chun Yu   +3 more
openaire   +1 more source

Wavelet-Based Face Inpainting with Channel Relation Attention

2021
As the underlying characteristic distribution differs among different frequencies, existing face inpainting methods on RGB domain can cause some artificial boundaries and blurred details when the masks are large. To reduce this interference, we propose to inpaint face images in wavelet domain with two branches to capture global structure topology and ...
Huiwen Shao, Yunlian Sun
openaire   +1 more source

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