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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… 
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Papers overview

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Highly Cited
2018
Highly Cited
2018
Face hallucination is a generative task to super-resolve the facial image with low resolution while human perception of face… 
Highly Cited
2017
Highly Cited
2017
Conventional face hallucination methods rely heavily on accurate alignment of low-resolution (LR) faces before upsampling… 
Highly Cited
2016
Highly Cited
2016
We present a novel framework for hallucinating faces of unconstrained poses and with very low resolution (face size as small as… 
Highly Cited
2015
Highly Cited
2015
  • Muwei JianK. Lam
  • 2015
  • Corpus ID: 32826357
In video surveillance, the captured face images are usually of low resolution (LR). Thus, a framework based on singular value… 
Highly Cited
2015
Highly Cited
2015
Face hallucination method is proposed to generate high-resolution images from low-resolution ones for better visualization… 
Highly Cited
2014
Highly Cited
2014
Recently, position-patch based approaches have been proposed to replace the probabilistic graph-based or manifold learning-based… 
Review
2013
Review
2013
This paper comprehensively surveys the development of face hallucination (FH), including both face super-resolution and face… 
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… 
Highly Cited
2011
Highly Cited
2011
We provide a position-patch based face hallucination method using convex optimization. Recently, a novel position-patch based… 
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…