Results for HSM-Net_RVC

Submitted by Gengshan Yang.

Submission data

Full nameHierarchical Deep Stereo Matching on High- Resolution Images
DescriptionAn end-to-end framework that searches for
correspondences incrementally over a coarse-to-fine
hierarchy designed for high-resolution stereo
matching.
Parameters- Middlebury model ran at 3.2X original ETH3D resolution;
- max_disparity set to 320px (before upsampling)
Publication titleHierarchical Deep Stereo Matching on High-resolution Images
Publication authorsGengshan Yang, Joshua Manela, Michael Happold, and Deva Ramanan
Publication venueCVPR 2019
Publication URLhttps://github.com/gengshan-y/high-res-stereo
Programming language(s)Python
HardwareTitanXp
Websitehttps://github.com/gengshan-y/high-res-stereo
Source code or download URLhttps://github.com/gengshan-y/high-res-stereo
Submission creation date12 Aug, 2020
Last edited14 Aug, 2020

High-res multi-view results



Infoallhigh-res
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Low-res many-view results



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many-view		indooroutdoorlakesidesand boxstorage roomstorage room 2tunnel
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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
permissivetwo views10.881.235.465.572.6320.126.0627.6728.3520.6325.5134.0114.3816.189.290.110.070.010.000.130.14

SLAM results



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MethodInfo
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