Submitted by Qingshan Xu.

Submission data

Full nameCIDER
Publication titleLearning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume
Publication authorsQingshan Xu and Wenbing Tao
Publication venueAAAI 2020
Publication URLhttps://arxiv.org/abs/1912.11746
Programming language(s)Python & C++
HardwareIntel Xeon CPU E5-2630, NVIDIA GeForce GTX TitanX
Submission creation date8 Sep, 2019
Last edited6 Jan, 2020

High-res multi-view results



Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
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Low-res many-view results



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many-view
indooroutdoorlakesidesand boxstorage roomstorage room 2tunnel
47.2138.3653.1155.3755.1033.2543.4648.87

Low-res two-view results



Infoalllakes. 1llakes. 1ssand box 1lsand box 1sstora. room 1lstora. room 1sstora. room 2lstora. room 2sstora. room 2 1lstora. room 2 1sstora. room 2 2lstora. room 2 2sstora. room 3lstora. room 3stunnel 1ltunnel 1stunnel 2ltunnel 2stunnel 3ltunnel 3s
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SLAM results



allboxesboxes darkbuddhacables 4cables 5desk 1desk 2desk changing 2desk dark 1desk dark 2desk global light changesdesk ir lightdinodroneforeground occlusionhelmetkidnap 2lamplarge loop 2large loop 3large non loopmotion 2motion 3motion 4planar 1reflective 2scale changetable 1table 2table 5table 6table global light changestable local light changestable scenetrashbin
MethodInfo
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