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		indooroutdoordelivery areaelectroforestplaygroundterrains
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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



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