Results for GCST

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Submission data

Full nameGeometric Context infroamtion for Stereo Matching
DescriptionA method to enable the model to learn 3D structures by extracting the Context feature for the operation of the GRU module from predicted surface normals instead of RGB images.
ParametersNumber of iteration : 32
Programming language(s)Python with Pytorch
HardwareTitan RTX
Submission creation date29 Jul, 2024
Last edited29 Jul, 2024

High-res multi-view results



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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
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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
copylefttwo views9.0817.313.9852.9210.6611.290.206.976.479.464.684.751.519.341.318.190.0522.380.346.173.53

SLAM results



allcables 1cables 2cables 3camera shake 1camera shake 2camera shake 3ceiling 1ceiling 2desk 3desk changing 1einstein 1einstein 2einstein darkeinstein flashlighteinstein global light changes 1einstein global light changes 2einstein global light changes 3kidnap 1kidnap darklarge loop 1mannequin 1mannequin 3mannequin 4mannequin 5mannequin 7mannequin face 1mannequin face 2mannequin face 3mannequin headmotion 1planar 2planar 3plant 1plant 2plant 3plant 4plant 5plant darkplant scene 1plant scene 2plant scene 3reflective 1repetitivesfm benchsfm gardensfm house loopsfm lab room 1sfm lab room 2sofa 1sofa 2sofa 3sofa 4sofa dark 1sofa dark 2sofa dark 3sofa shaketable 3table 4table 7vicon light 1vicon light 2
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