Search Results for author: Yongliang Tang

Found 2 papers, 0 papers with code

Deep Residual Networks with a Fully Connected Recon-struction Layer for Single Image Super-Resolution

no code implementations24 May 2018 Yongliang Tang, Jiashui Huang, Faen Zhang, Weiguo Gong

Recently, deep neural networks have achieved impressive performance in terms of both reconstruction accuracy and efficiency for single image super-resolution (SISR).

Image Super-Resolution Single Image Super Resolution

Deep Inception-Residual Laplacian Pyramid Networks for Accurate Single Image Super-Resolution

no code implementations15 Nov 2017 Yongliang Tang, Weiguo Gong, Xi Chen, Weihong Li

With exploiting contextual information over large image regions in an efficient way, the deep convolutional neural network has shown an impressive performance for single image super-resolution (SR).

Image Super-Resolution Single Image Super Resolution

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