Results for DeepMVS_CX
Submission data
Full name | DeepMVS_CX |
Description | We 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. |
Parameters | For 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 |
Hardware | GTX 2080Ti |
Submission creation date | 26 Jun, 2019 |
Last edited | 27 Jun, 2019 |
High-res multi-view results
Info | all | high-res multi-view | indoor | outdoor | botani. | boulde. | bridge | door | exhibi. | lectur. | living. | lounge | observ. | old co. | statue | terrac. |
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12.03 | 17.97 | 10.91 | 10.60 | 7.46 | 11.07 | 28.36 | 3.28 | 11.29 | 8.01 | 9.74 | 13.89 |
Low-res many-view results
Info | all | low-res many-view | indoor | outdoor | delivery area | electro | forest | playground | terrains |
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No results yet. |
Low-res two-view results
SLAM results
all | boxes | boxes dark | buddha | cables 4 | cables 5 | desk 1 | desk 2 | desk changing 2 | desk dark 1 | desk dark 2 | desk global light changes | desk ir light | dino | drone | foreground occlusion | helmet | kidnap 2 | lamp | large loop 2 | large loop 3 | large non loop | motion 2 | motion 3 | motion 4 | planar 1 | reflective 2 | scale change | table 1 | table 2 | table 5 | table 6 | table global light changes | table local light changes | table scene | trashbin | |||
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Method | Info | |||||||||||||||||||||||||||||||||||||
No results yet. |