Skip navigation
Skip navigation

Face Hallucination via Deep Neural Networks.

Yu, Xin


We firstly address aligned low-resolution (LR) face images (i.e. 16X16 pixels) by designing a discriminative generative network, named URDGN. URDGN is composed of two networks: a generative model and a discriminative model. We introduce a pixel-wise L2 regularization term to the generative model and exploit the feedback of the discriminative network to make the upsampled face images more similar to real ones. We present an end-to-end transformative discriminative neural network (TDN)...[Show more]

CollectionsOpen Access Theses
Date published: 2019
Type: Thesis (PhD)
DOI: 10.25911/5d51433625f11


File Description SizeFormat Image
Xin_PhDthesis.pdfThesis Material26.14 MBAdobe PDFThumbnail

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator