Result details - ETH3D

Submitted by Andreas Kuhn.

Submission data

Full name	Deep Confidence Prediction for Multi-View Stereo Reconstruction
Publication title	DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction
Publication authors	Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer
Publication venue	3DV 2020
Programming language(s)	C++ with CUDA
Hardware	28-core 2.6GHz 4 x Geforce GTX 1080 Ti
Submission creation date	11 Nov, 2019
Last edited	2 Oct, 2020

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.
	68.24	77.25	76.63	79.12	86.15	60.86	84.71	84.85	61.98	73.06	88.88	53.72	89.06	68.27	88.04	87.42

Low-res many-view results

Info	all	low-res many-view	indoor	outdoor	delivery area	electro	forest	playground	terrains
	78.24	62.57	64.27	61.43	53.65	65.83	70.22	48.24	74.89

Low-res two-view results

Info	all	lakes. 1l	lakes. 1s	sand box 1l	sand box 1s	stora. room 1l	stora. room 1s	stora. room 2l	stora. room 2s	stora. room 2 1l	stora. room 2 1s	stora. room 2 2l	stora. room 2 2s	stora. room 3l	stora. room 3s	tunnel 1l	tunnel 1s	tunnel 2l	tunnel 2s	tunnel 3l	tunnel 3s
No results yet.

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
	Method	Info
No results yet.