Submitted anonymously.

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

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