Submitted anonymously.

Submission data

Full nameDeepMVS_CX
DescriptionWe use DeepMVS to estimate disparity maps and then convert them to depth maps. Depth maps are fused into point clouds via the fusion method provided by COLMAP. As DeepMVS does not estimate normal maps, we generate fake normal maps and invalidate their contribution in the fusion step by parameter tuning.
We did not record the run-times so they are all set to 1.
Reason for invalid results for some of the datasets is that they were not generated before our submission, but not that DeepMVS failed in these datasets.
ParametersFor disparity map estimation via DeepMVS, we set width = 2000 and height = 1332 due to limited memory.
For depth map fusion, we use default parameters provided by COLMAP except for max_normal_error = 100.00.
Programming language(s)Python
HardwareGTX 2080Ti
Submission creation date26 Jun, 2019
Last edited27 Jun, 2019

High-res multi-view results

multi-view co.statueterrac.

Low-res many-view results

indooroutdoorlakesidesand boxstorage roomstorage room 2tunnel
No results yet.

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
No results yet.

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
No results yet.