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1 deep depth super-resolution : learning depth super-resolution using deep convolutional neural network xibin song, yuchao dai, xueying qin abstract—depth image super-resolution…
depth map inpainting and super-resolution based on internal statistics of geometry and appearance satoshi ikehata†, ji-ho cho‡ and kiyoharu aizawa† †the university…
microsoft word - 11-_oee180587_xzy.doc2019 46 11 180587-1 * 230601 tb872 a . [j]. 201946(11): 180587 depth map super-resolution with cascaded pyramid structure fu xuwen,
patch based synthesis for single depth image super-resolution oisin mac aodha, neill d.f. campbell, arun nair, and gabriel j. brostow university college london http://visual.cs.ucl.ac.uk/pubs/depthsuperres/
perceptual deep depth super-resolution oleg voynov1 alexey artemov1 vage egiazarian1 alexander notchenko1 gleb bobrovskikh12 evgeny burnaev1 denis zorin31 1skolkovo institute…
joint example-based depth map super-resolution yanjie li1, tianfan xue2,3, lifeng sun1, jianzhuang liu2,3,4 1 information science and technology department, tsinghua university,…
atgv-net: accurate depth super-resolution gernot riegler, matthias rüther, horst bischof institute for computer graphics and vision, graz university of technology {riegler,…
spatial-depth super resolution for range images qingxiong yang∗ ruigang yang∗ james davis† david nistér∗ ∗university of kentucky †university of california,…
depth super resolution by rigid body self-similarity in 3d michael hornáček1,*, christoph rhemann2, margrit gelautz1, and carsten rother2 1vienna university of technology…
joint example-based depth map super-resolution yanjie li1 tianfan xue23 lifeng sun1 jianzhuang liu234 1 information science and technology department tsinghua university…
riegler ferstl rÜther bischof: a deep primal-dual network 1 a deep primal-dual network for guided depth super-resolution gernot riegler riegler@icgtugrazat david ferstl…
multi-view silhouette and depth decomposition for high resolution 3d object representation edward smith mcgill university [email protected] scott fujimoto mcgill…
pag-net: progressive attention guided depth super-resolution network arpit bansal∗, sankaraganesh jonna†, and rajiv r. sahay∗ department of electrical engineering∗,…
depth learning: when depth estimation meets deep learning prof liang lin sensetime research sun yat-sen university nitre june 18 2018 outline part 1 part 2 depth learning—our…
depth map super-resolution by deep multi-scale guidance tak-wai hui1 chen change loy12 xiaoou tang12 1department of information engineering the chinese university of hong…
anrv378-bi78-34 ari 29 april 2009 20:29 super-resolution fluorescence microscopy bo huang,1,2 mark bates,3 and xiaowei zhuang1,2,4 1howard hughes medical institute, 2department…
super-resolution limit beurling super-resolution on the recovery of measures without separation conditions weilin li norbert wiener center department of mathematics university…
a joint intensity and depth co-sparse analysis model for depth map super-resolution martin kiechle, simon hawe, and martin kleinsteuber department of electrical engineering…
riegler ferstl rÜther bischof: a deep primal-dual network 1 a deep primal-dual network for guided depth super-resolution gernot riegler riegler@icgtugrazat david ferstl…
introduction image registration imaging process ibp irani and peleg algorithm gradient-like method color sr super resolution federico d’amato roberto medico university…