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Face hallucination

Face hallucination refers to any superresolution technique which applies specifically to faces. It comprises techniques which take noisy or low… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Most of the current face hallucination methods, whether they are shallow learning-based or deep learning-based, all try to learn… Expand
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Highly Cited
2015
Highly Cited
2015
Face hallucination method is proposed to generate high-resolution images from low-resolution ones for better visualization… Expand
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Highly Cited
2015
Highly Cited
2015
  • Muwei Jian, K. Lam
  • IEEE Transactions on Circuits and Systems for…
  • 2015
  • Corpus ID: 32826357
In video surveillance, the captured face images are usually of low resolution (LR). Thus, a framework based on singular value… Expand
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Highly Cited
2014
Highly Cited
2014
Recently, position-patch based approaches have been proposed to replace the probabilistic graph-based or manifold learning-based… Expand
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Review
2013
Review
2013
This paper comprehensively surveys the development of face hallucination (FH), including both face super-resolution and face… Expand
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Highly Cited
2013
Highly Cited
2013
The goal of face hallucination is to generate high-resolution images with fidelity from low-resolution ones. In contrast to… Expand
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Highly Cited
2010
Highly Cited
2010
A novel face hallucination method is proposed in this paper for the reconstruction of a high-resolution face image from a low… Expand
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Highly Cited
2008
Highly Cited
2008
In this paper, we address the problem of hallucinating a high resolution face given a low resolution input face. The problem is… Expand
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Highly Cited
2006
Highly Cited
2006
In this paper, we study face hallucination, or synthesizing a high-resolution face image from an input low-resolution image, with… Expand
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Highly Cited
2005
Highly Cited
2005
In video surveillance, the faces of interest are often of small size. Image resolution is an important factor affecting face… Expand
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