Deep depth super-resolution: Learning depth super-resolution using deep convolutional neural network

X Song, Y Dai, X Qin - Computer Vision–ACCV 2016: 13th Asian …, 2017 - Springer
Depth image super-resolution is an extremely challenging task due to the information loss in
sub-sampling. Deep convolutional neural network has been widely applied to color image …
被引用次数：105 相关文章

Deep Depth Super-Resolution: Learning Depth Super-Resolution using Deep Convolutional Neural Network

X Song, Y Dai, X Qin - arXiv preprint arXiv:1607.01977, 2016 - arxiv.org
Depth image super-resolution is an extremely challenging task due to the information loss in
sub-sampling. Deep convolutional neural network have been widely applied to color image …

Deep Depth Super-Resolution: Learning Depth Super-Resolution using Deep Convolutional Neural Network

X Song, Y Dai, X Qin - arXiv e-prints, 2016 - ui.adsabs.harvard.edu
Depth image super-resolution is an extremely challenging task due to the information loss in
sub-sampling. Deep convolutional neural network have been widely applied to color image …
[PDF] academia.edu

[PDF][PDF] Deep Depth Super-Resolution: Learning Depth Super-Resolution using Deep Convolutional Neural Network

X Song, Y Dai, X Qin - academia.edu
Depth image super-resolution is an extremely challenging task due to the information loss in
sub-sampling. Deep convolutional neural network have been widely applied to color image …

Deep depth super-resolution: Learning depth super-resolution using deep convolutional neural network

X Song, Y Dai, X Qin - 2017 - openresearch-repository.anu.edu.au
Depth image super-resolution is an extremely challenging task due to the information loss in
sub-sampling. Deep convolutional neural network has been widely applied to color image …