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Learning patch-based anchors for face hallucination
IEEE Xplore
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In this paper, we propose an anchored patch-based hallucination method, which is able to exploit and identify image patches exhibiting structurally and ...
Learning patch-based anchors for face hallucination
OpenReview
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Abstract—With the goal of increasing the resolution of face images, recent face hallucination methods advance learning tech- niques which observe training ...
Learning patch-based anchors for face hallucination
ResearchGate
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In this paper, we propose a novel framework for face super-resolution based on a layered predictor network. In the first layer, multiple predictors are trained ...
Learning Patch-Based Anchors for Face Hallucination - NTU scholars
NTU scholars
https://scholars.lib.ntu.edu.tw › entities › publication
NTU scholars
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Learning Patch-Based Anchors for Face Hallucination ; Journal. IEEE International Workshop on Multimedia Signal Processing (MMSP) ; Date Issued. 2016 ; URI.
Patch-based face hallucination with multitask deep neural network
ResearchGate
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In addition to the above methods, there are many patch-based face super-resolution methods, such as [17, 35, 43,49], these methods all cut a face image into ...
Face hallucination based on cluster consistent dictionary ...
PolyU Institutional Research Archive
https://ira.lib.polyu.edu.hk › ipr2.12269.pdf
PolyU Institutional Research Archive
https://ira.lib.polyu.edu.hk › ipr2.12269.pdf
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由 M Li 著作2021被引用 1 次 — This paper, proposes a novel example-based face hallucination method, based on cluster consistent dictionary learning with the assumption that human faces have ...
13 頁
Face hallucination based on cluster consistent dictionary ...
Wiley Online Library
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2021年5月24日 — Face hallucination is a super-resolution technique specially designed to reconstruct high-resolution faces from low-resolution faces.
Face Hallucination using Linear Models of Coupled Sparse ...
arXiv
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arXiv
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由 R Farrugia 著作2015被引用 58 次 — To alleviate this problem, some methods employ patch-based local approaches such as Markov Random Fields [13]–[15],. Locally Linear Embedding ( ...
Wei-Jen Ko - Google 學術搜尋
Google Scholar
https://scholar.google.co.il › citations
Google Scholar
https://scholar.google.co.il › citations
Learning patch-based anchors for face hallucination. WJ Ko, YCF Wang, SY Chien. 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP ...
Face hallucination based on sparse local-pixel structure
ScienceDirect.com
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由 Y Li 著作2014被引用 79 次 — In this paper, we propose a face-hallucination method, namely face hallucination based on sparse local-pixel structure. In our framework, a high resolution ...