High-res multi-view results

This table lists the benchmark results for the high-res multi-view scenario. The following metrics are evaluated:

Accuracy [%]: The fraction of the reconstruction which is closer to the ground truth than the evaluation threshold distance (*). Larger is better.
Completeness [%]: The fraction of the ground truth which is closer to the reconstruction than the evaluation threshold distance (*). Larger is better.
F₁ score [%]: The harmonic mean of accuracy and completeness, used to rank methods based on both metrics. Larger is better.
Time [s]: The runtime of the method. Smaller is better.

(*) For exact definitions, detailing how potentially incomplete ground truth is taken into account, see our paper.

The datasets are grouped into different categories, and result averages are computed for a category and method if results of the method are available for all datasets within the category. Note that the category "all" includes both the high-res multi-view and the low-res many-view scenarios.

Methods with suffix _ROB may participate in the Robust Vision Challenge.

Click a dataset result cell to show a visualization of the reconstruction. For training datasets, ground truth and accuracy / completeness visualizations are also available. The visualizations may not work with mobile browsers.

Method	all	high-res multi-view	indoor	outdoor	botani.	boulde.	bridge	door	exhibi.	lectur.	living.	lounge	observ.	old co.	statue	terrac.

TEST9					0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

train_agg		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

test_8					0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

agg_prior3		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

agg_prior1		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

agg_prior					0.00 1	0.00 1		0.00 1		0.00 1			0.00 1

HFP-MVS		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

region2R		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

#test#		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

test_prior3		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

test_prior				0.00 1	0.00 1	0.00 1		0.00 1					0.00 1			0.00 1

旧先验2							0.00 1		0.00 1	0.00 1			0.00 1	0.00 1

新几何1				0.00 1	0.00 1	0.00 1		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

无先验							0.00 1	0.00 1	0.00 1				0.00 1	0.00 1		0.00 1

原ACMM1				0.00 1	0.00 1	0.00 1		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

testdata2													0.00 1	0.00 1

testdata				0.00 1	0.00 1	0.00 1		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

1314		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

1121		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

MVS		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

test12				0.00 1	0.00 1	0.00 1		0.00 1		0.00 1		0.00 1	0.00 1		0.00 1	0.00 1

abl_6		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

QAPM		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

LCM-MVSNet		0.37 13	0.36 13	0.37 18	0.37 23	0.37 24	0.37 23	0.32 24	0.37 23	0.37 23	0.37 21	0.37 23	0.37 24	0.37 22	0.37 22	0.37 23

v144192		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

v1921920		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

v1192		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

v1144		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

v148		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

v748		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

v7n		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

v1141		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

v1neww		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

v7new		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

v1240		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

v18		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

v17		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

v16		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

divwei89l23v2f112		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

v15		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

v13		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

v12		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

v8		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

v7		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

v6		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

v11		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

v52		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

V14		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

v10		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

V4		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

v2v482		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

v1		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

V42		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

V9		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

GA-MVS		0.40 14	0.40 14	0.40 19	0.40 24	0.40 25	0.40 24	0.40 26	0.40 24	0.40 24	0.40 22	0.40 24	0.40 25	0.40 23	0.40 23	0.40 24

Fast-Effi-MVS+		0.41 45	0.40 14	0.41 50	0.41 55	0.41 56	0.41 55	0.35 25	0.41 55	0.41 55	0.41 53	0.41 55	0.41 56	0.41 54	0.41 54	0.41 55

Fast-Effi-MVS+-dtu		0.44 46	0.44 46	0.44 51	0.44 56	0.44 57	0.44 56	0.44 57	0.44 56	0.44 56	0.44 54	0.44 56	0.44 57	0.44 55	0.44 55	0.44 56

Effi-MVS+-dtu		0.59 48	0.61 48	0.53 52	0.68 58	0.53 58	0.53 57	0.68 59	0.68 58	0.53 57	0.53 55	0.68 58	0.53 58	0.68 57	0.53 56	0.53 57

Effi-MVS+		0.58 47	0.56 47	0.62 53	0.53 57	0.62 59	0.53 57	0.53 58	0.53 57	0.62 58	0.62 56	0.53 57	0.62 59	0.62 56	0.53 56	0.62 58

mvs-test1		0.68 49	0.68 49	0.68 54	0.68 58	0.68 60	0.68 59	0.68 59	0.68 58	0.68 59	0.68 57	0.68 58	0.68 60	0.68 57	0.68 58	0.68 59

CDS-MVSNet		0.88 50	0.88 50	0.88 55	0.88 60	0.88 61	0.88 60	0.88 61	0.88 60	0.88 60	0.88 58	0.88 60	0.88 61	0.88 59	0.88 59	0.88 60
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS		0.88 50	0.88 50	0.88 55	0.88 60	0.88 61	0.88 60	0.88 61	0.88 60	0.88 60	0.88 58	0.88 60	0.88 61	0.88 59	0.88 59	0.88 60

LCM-MVSNet-Re		0.89 52	0.89 52	0.89 57	0.89 62	0.89 63	0.89 62	0.89 63	0.89 62	0.89 62	0.89 60	0.89 62	0.89 63	0.89 61	0.89 61	0.89 62

DeepMVS_CX				1.00 58	1.00 63	1.00 64		1.00 64	1.00 63	1.00 63	1.00 61	1.00 63	1.00 64	1.00 62	1.00 62	1.00 63

MDA-MVSNet-bldmvs		1.20 53	1.20 53	1.20 59	1.20 64	1.20 66	1.20 63	1.20 66	1.20 64	1.20 64	1.20 62	1.20 64	1.20 65	1.20 63	1.20 63	1.20 64

YYNet1		1.20 53	1.20 53	1.20 59	1.20 64	1.20 66	1.20 63	1.20 66	1.20 64	1.20 64	1.20 62	1.20 64	1.20 65	1.20 63	1.20 63	1.20 64

MDA-MVSNet_test_wron		1.20 53	1.20 53	1.20 59	1.20 64	1.20 66	1.20 63	1.20 66	1.20 64	1.20 64	1.20 62	1.20 64	1.20 65	1.20 63	1.20 63	1.20 64

EI-MVSNet-UG-set		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

EI-MVSNet-Vis-set		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

Regformer-3		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

Regformer-4		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

Regformer-1		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

Regformer-2		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

EI-MVSNet		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

Regformer		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

CVMVSNet		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

EU-MVSNet		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

PS-CasMVS		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

UniMVSNet_NR-MVSNet		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

PEN-MVS		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

TransMVSNet (Re)		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

DTE-MVSNet		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

DU-MVS		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

UniMVSNet (Re)		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

CP-MVSNet		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

WR-MVS_H		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

WR-MVS		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

NR-MVSNet		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

Baseline_NR-MVSNet		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

TranMVSNet+NR-MVSNet		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

MVSFormer		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

jason		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67
jason: jason.
lupinMVS		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

test_djsdf		1.42 56	1.42 56	1.42 62	1.42 67	1.42 69	1.42 66	1.42 69	1.42 67	1.42 67	1.42 65	1.42 67	1.42 68	1.42 66	1.42 66	1.42 67

alignmvs		2.00 83	2.00 83	2.00 89	2.00 94	2.00 96	2.00 93	2.00 98	2.00 94	2.00 94	2.00 92	2.00 94	2.00 95	2.00 93	2.00 93	2.00 94

nrg030		2.00 83	2.00 83	2.00 89	2.00 94	2.00 96	2.00 93	2.00 98	2.00 94	2.00 94	2.00 92	2.00 94	2.00 95	2.00 93	2.00 93	2.00 94

LFMVS		2.00 83	2.00 83	2.00 89	2.00 94	2.00 96	2.00 93	2.00 98	2.00 94	2.00 94	2.00 92	2.00 94	2.00 95	2.00 93	2.00 93	2.00 94

VDD-MVS		2.00 83	2.00 83	2.00 89	2.00 94	2.00 96	2.00 93	2.00 98	2.00 94	2.00 94	2.00 92	2.00 94	2.00 95	2.00 93	2.00 93	2.00 94

VDDNet		2.00 83	2.00 83	2.00 89	2.00 94	2.00 96	2.00 93	2.00 98	2.00 94	2.00 94	2.00 92	2.00 94	2.00 95	2.00 93	2.00 93	2.00 94

VPNet		2.00 83	2.00 83	2.00 89	2.00 94	2.00 96	2.00 93	2.00 98	2.00 94	2.00 94	2.00 92	2.00 94	2.00 95	2.00 93	2.00 93	2.00 94

VNet		2.00 83	2.00 83	2.00 89	2.00 94	2.00 96	2.00 93	2.00 98	2.00 94	2.00 94	2.00 92	2.00 94	2.00 95	2.00 93	2.00 93	2.00 94

VPA-MVSNet		2.00 83	2.00 83	2.00 89	2.00 94	2.00 96	2.00 93	2.00 98	2.00 94	2.00 94	2.00 92	2.00 94	2.00 95	2.00 93	2.00 93	2.00 94

cascas		2.00 83	2.00 83	2.00 89	2.00 94	2.00 96	2.00 93	2.00 98	2.00 94	2.00 94	2.00 92	2.00 94	2.00 95	2.00 93	2.00 93	2.00 94

UnsupCasMVSNet_eth		5.90 92	5.90 92	5.90 98	5.90 103	5.90 105	5.90 103	5.90 108	5.90 104	5.90 103	5.90 101	5.90 104	5.90 104	5.90 102	5.90 104	5.90 104

UnsupCasMVSNet_bld		5.90 92	5.90 92	5.90 98	5.90 103	5.90 105	5.90 103	5.90 108	5.90 104	5.90 103	5.90 101	5.90 104	5.90 104	5.90 102	5.90 104	5.90 104

WTY-MVS		5.90 92	5.90 92	5.90 98	5.90 103	5.90 105	5.90 103	5.90 108	5.90 104	5.90 103	5.90 101	5.90 104	5.90 104	5.90 102	5.90 104	5.90 104

HY-MVS	5.90 1	5.90 92	5.90 92	5.90 98	5.90 103	5.90 105	5.90 103	5.90 108	5.90 104	5.90 103	5.90 101	5.90 104	5.90 104	5.90 102	5.90 104	5.90 104

sss		5.90 92	5.90 92	5.90 98	5.90 103	5.90 105	5.90 103	5.90 108	5.90 104	5.90 103	5.90 101	5.90 104	5.90 104	5.90 102	5.90 104	5.90 104

Test_1112_low_res		5.90 92	5.90 92	5.90 98	5.90 103	5.90 105	5.90 103	5.90 108	5.90 104	5.90 103	5.90 101	5.90 104	5.90 104	5.90 102	5.90 104	5.90 104

1112_ss		5.90 92	5.90 92	5.90 98	5.90 103	5.90 105	5.90 103	5.90 108	5.90 104	5.90 103	5.90 101	5.90 104	5.90 104	5.90 102	5.90 104	5.90 104

ab-mvs-re		5.90 92	5.90 92	5.90 98	5.90 103	5.90 105	5.90 103	5.90 108	5.90 104	5.90 103	5.90 101	5.90 104	5.90 104	5.90 102	5.90 104	5.90 104

ab-mvs		5.90 92	5.90 92	5.90 98	5.90 103	5.90 105	5.90 103	5.90 108	5.90 104	5.90 103	5.90 101	5.90 104	5.90 104	5.90 102	5.90 104	5.90 104

CDPH-MVS		6.66 101	6.66 101	6.66 107	6.66 112	6.66 114	6.66 112	6.66 117	6.66 113	6.66 112	6.66 110	6.66 113	6.66 113	6.66 111	6.66 113	6.66 113

dp		87.20 119	113.80 122	7.42 108	10.50 125	8.88 115	298.82 139	2.70 107	510.35 155	7.79 113	172.93 132	3.37 103	9.16 114	14.00 125	3.71 103	4.23 103

MDTV_nov1_ep13			9.99 102		9.99 113	9.99 116	9.99 113	9.99 119	9.99 114	9.99 114	9.99 111	9.99 114	9.99 115	9.99 112	9.99 114

xiu_mvs_v1_base_debu		10.28 102	10.28 103	10.28 109	10.28 114	10.28 118	10.28 115	10.28 120	10.28 116	10.28 116	10.28 112	10.28 116	10.28 116	10.28 114	10.28 115	10.28 115

xiu_mvs_v2_base		10.28 102	10.28 103	10.28 109	10.28 114	10.28 118	10.28 115	10.28 120	10.28 116	10.28 116	10.28 112	10.28 116	10.28 116	10.28 114	10.28 115	10.28 115

xiu_mvs_v1_base		10.28 102	10.28 103	10.28 109	10.28 114	10.28 118	10.28 115	10.28 120	10.28 116	10.28 116	10.28 112	10.28 116	10.28 116	10.28 114	10.28 115	10.28 115

xiu_mvs_v1_base_debi		10.28 102	10.28 103	10.28 109	10.28 114	10.28 118	10.28 115	10.28 120	10.28 116	10.28 116	10.28 112	10.28 116	10.28 116	10.28 114	10.28 115	10.28 115

cdsmvs_eth3d_5k		10.28 102	10.28 103	10.28 109	10.28 114	10.28 118	10.28 115	10.28 120	10.28 116	10.28 116	10.28 112	10.28 116	10.28 116	10.28 114	10.28 115	10.28 115

pcd_1.5k_mvsjas		10.28 102	10.28 103	10.28 109	10.28 114	10.28 118	10.28 115	10.28 120	10.28 116	10.28 116	10.28 112	10.28 116	10.28 116	10.28 114	10.28 115	10.28 115

pcd1.5k->3k		10.28 102	10.28 103	10.28 109	10.28 114	10.28 118	10.28 115	10.28 120	10.28 116	10.28 116	10.28 112	10.28 116	10.28 116	10.28 114	10.28 115	10.28 115

PS-MVSNAJss		10.28 102	10.28 103	10.28 109	10.28 114	10.28 118	10.28 115	10.28 120	10.28 116	10.28 116	10.28 112	10.28 116	10.28 116	10.28 114	10.28 115	10.28 115

PS-MVSNAJ		10.28 102	10.28 103	10.28 109	10.28 114	10.28 118	10.28 115	10.28 120	10.28 116	10.28 116	10.28 112	10.28 116	10.28 116	10.28 114	10.28 115	10.28 115

jajsoiax		10.28 102	10.28 103	10.28 109	10.28 114	10.28 118	10.28 115	10.28 120	10.28 116	10.28 116	10.28 112	10.28 116	10.28 116	10.28 114	10.28 115	10.28 115

mvs_tets		10.28 102	10.28 103	10.28 109	10.28 114	10.28 118	10.28 115	10.28 120	10.28 116	10.28 116	10.28 112	10.28 116	10.28 116	10.28 114	10.28 115	10.28 115

XXY-MVS		15.00 113	15.00 114	15.00 120	15.00 126	15.00 129	15.00 126	15.00 134	15.00 127	15.00 127	15.00 123	15.00 132	15.00 127	15.00 126	15.00 127	15.00 127

GBi-Net		44.67 118	49.24 119	30.96 121	47.53 131	47.57 134	126.09 131	8.00 118	76.99 132	26.09 128	73.50 129	11.27 127	30.55 128	61.12 131	12.58 126	14.75 126

BH-w/o		40.00 114	40.00 115	40.00 122	40.00 127	40.00 130	40.00 127	40.00 151	40.00 128	40.00 129	40.00 124	40.00 150	40.00 129	40.00 127	40.00 143	40.00 139

BH-untuned		40.00 114	40.00 115	40.00 122	40.00 127	40.00 130	40.00 127	40.00 151	40.00 128	40.00 129	40.00 124	40.00 150	40.00 129	40.00 127	40.00 143	40.00 139

BH-RMVSNet		40.00 114	40.00 115	40.00 122	40.00 127	40.00 130	40.00 127	40.00 151	40.00 128	40.00 129	40.00 124	40.00 150	40.00 129	40.00 127	40.00 143	40.00 139

TR-MVS		40.00 114	40.00 115	40.00 122	40.00 127	40.00 130	40.00 127	40.00 151	40.00 128	40.00 129	40.00 124	40.00 150	40.00 129	40.00 127	40.00 143	40.00 139

new_pmnet		88.14 120	98.62 120	56.70 126	98.14 140	56.07 135	246.79 133	15.37 135	148.06 133	50.77 133	143.13 130	23.35 133	62.65 133	93.26 132	68.71 150	51.38 150

N_pmnet		88.14 120	98.62 120	56.70 126	98.14 140	56.07 135	246.79 133	15.37 135	148.06 133	50.77 133	143.13 130	23.35 133	62.65 133	93.26 132	68.71 150	51.38 150

FMVSNet5		124.76 127	140.93 128	76.26 136	107.44 143	100.17 149	329.88 144	27.12 144	259.44 146	74.30 143	204.34 137	30.74 139	92.41 135	196.98 140	38.15 136	36.19 130

test1		124.76 127	140.93 128	76.26 136	107.44 143	100.17 149	329.88 144	27.12 144	259.44 146	74.30 143	204.34 137	30.74 139	92.41 135	196.98 140	38.15 136	36.19 130

FMVSNet3		124.76 127	140.93 128	76.26 136	107.44 143	100.17 149	329.88 144	27.12 144	259.44 146	74.30 143	204.34 137	30.74 139	92.41 135	196.98 140	38.15 136	36.19 130

FMVSNet2		124.76 127	140.93 128	76.26 136	107.44 143	100.17 149	329.88 144	27.12 144	259.44 146	74.30 143	204.34 137	30.74 139	92.41 135	196.98 140	38.15 136	36.19 130

FMVSNet1		124.76 127	140.93 128	76.26 136	107.44 143	100.17 149	329.88 144	27.12 144	259.44 146	74.30 143	204.34 137	30.74 139	92.41 135	196.98 140	38.15 136	36.19 130

MIMVSNet1		124.76 127	140.93 128	76.26 136	107.44 143	100.17 149	329.88 144	27.12 144	259.44 146	74.30 143	204.34 137	30.74 139	92.41 135	196.98 140	38.15 136	36.19 130

MIMVSNet		124.76 127	140.93 128	76.26 136	107.44 143	100.17 149	329.88 144	27.12 144	259.44 146	74.30 143	204.34 137	30.74 139	92.41 135	196.98 140	38.15 136	36.19 130

CANet		110.62 122	124.04 123	70.34 130	82.03 136	74.27 141	325.54 140	25.25 137	207.16 135	69.28 139	194.38 133	27.53 135	95.79 142	147.76 136	37.43 132	40.97 143

CANet_DTU		110.62 122	124.04 123	70.34 130	82.03 136	74.27 141	325.54 140	25.25 137	207.16 135	69.28 139	194.38 133	27.53 135	95.79 142	147.76 136	37.43 132	40.97 143

MVS_0304		110.62 122	124.04 123	70.34 130	82.03 136	74.27 141	325.54 140	25.25 137	207.16 135	69.28 139	194.38 133	27.53 135	95.79 142	147.76 136	37.43 132	40.97 143

UGNet		110.62 122	124.04 123	70.34 130	82.03 136	74.27 141	325.54 140	25.25 137	207.16 135	69.28 139	194.38 133	27.53 135	95.79 142	147.76 136	37.43 132	40.97 143
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022
PVSNet_Blended_VisFu		136.90 135	155.40 136	81.40 143	111.00 150	96.20 146	407.00 151	25.90 141	251.60 143	85.10 150	240.50 146	37.00 146	99.90 146	199.80 147	40.70 147	48.10 147

PVSNet_BlendedMVS		136.90 135	155.40 136	81.40 143	111.00 150	96.20 146	407.00 151	25.90 141	251.60 143	85.10 150	240.50 146	37.00 146	99.90 146	199.80 147	40.70 147	48.10 147

PVSNet_Blended		136.90 135	155.40 136	81.40 143	111.00 150	96.20 146	407.00 151	25.90 141	251.60 143	85.10 150	240.50 146	37.00 146	99.90 146	199.80 147	40.70 147	48.10 147

MPTG		833442.10 234	1111233.77 238	67.09 128	65.59 132	64.81 137	284.50 135	10000000.00 259	219.97 139	59.62 135	229.89 144	12.72 128	103.00 149	203.67 150	27.93 128	33.46 128

MTAPA		833442.10 234	1111233.77 238	67.09 128	65.59 132	64.81 137	284.50 135	10000000.00 259	219.97 139	59.62 135	229.89 144	12.72 128	103.00 149	203.67 150	27.93 128	33.46 128

DSMNet-mixed		131.33 134	143.00 135	96.33 146	99.00 142	81.00 145	201.00 132	45.00 155	335.00 153	99.00 153	251.00 149	38.00 149	110.00 151	120.00 135	99.00 152	98.00 152

MP-MVS-pluss		833433.63 233	1111219.60 237	75.70 134	74.28 134	73.29 139	284.50 135	11.35 131	238.58 141	65.86 137	255.35 150	14.55 130	115.69 152	10000000.00 255	31.94 130	38.12 137
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMP_Plus		118.81 126	133.18 127	75.70 134	74.28 134	73.29 139	284.50 135	11.35 131	238.58 141	65.86 137	255.35 150	14.55 130	115.69 152	222.18 152	31.94 130	38.12 137

tmp_tt		371.08 139	412.78 140	246.00 149	231.00 154	197.00 157	1293.00 172	376.00 201	756.00 162	609.00 186	71.00 128	106.00 164	195.00 154	102.00 134	171.00 163	346.00 183

DeepC-MVS_fast	2190.19 12	1535.59 187	1886.82 189	481.89 168	847.73 192	830.16 198	7943.84 222	189.23 191	2398.83 202	691.73 191	2341.13 199	209.16 188	230.25 155	1999.25 205	360.46 189	385.25 188
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DP-MVS		264.78 138	296.02 139	171.04 147	191.70 153	183.96 156	827.10 160	78.36 157	438.24 154	176.64 154	435.12 152	65.04 155	230.52 156	334.02 153	117.96 153	98.64 153

RPSCF		394.81 140	445.63 141	242.35 148	276.55 156	253.63 158	1207.27 170	90.69 162	715.56 160	241.57 156	684.87 158	111.96 165	320.02 157	548.38 161	133.81 155	153.39 155

DELS-MVS		514.57 149	587.73 151	295.12 153	343.03 157	328.09 162	1540.48 177	116.22 172	988.59 168	325.44 163	906.22 168	119.86 167	365.72 158	788.60 172	161.09 160	191.55 164
Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023
tpmvs		501.65 148	567.42 149	304.33 154	395.39 163	356.32 164	1512.04 176	216.53 193	994.15 169	350.16 165	804.16 166	119.38 166	380.98 159	555.14 162	159.87 159	175.69 160

EG-PatchMatch MVS		437.03 141	493.12 144	268.77 150	264.80 155	260.20 159	1491.80 175	98.00 166	723.20 161	238.80 155	722.40 159	63.10 154	382.00 160	629.00 163	207.00 170	164.10 159

DP-MVS Recon		516.25 150	581.17 150	321.48 156	361.02 158	429.00 171	1995.36 181	78.48 158	796.20 163	283.32 159	796.02 163	96.78 159	382.98 161	636.72 165	186.66 167	152.46 154

MVP-Stereo		473.58 144	533.67 145	293.33 151	376.00 160	318.00 160	1461.00 173	96.00 163	835.00 164	290.00 160	804.00 164	97.00 160	383.00 162	688.00 170	156.00 156	179.00 161
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch		473.58 144	533.67 145	293.33 151	376.00 160	318.00 160	1461.00 173	96.00 163	835.00 164	290.00 160	804.00 164	97.00 160	383.00 162	688.00 170	156.00 156	179.00 161

PatchmatchNet		492.52 146	551.22 147	316.40 155	400.20 164	357.90 165	1277.10 171	115.80 171	1034.60 175	315.90 162	874.00 167	155.10 171	402.20 164	629.50 164	158.80 158	189.10 163
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
ADS-MVSNet2		443.33 142	482.84 142	324.79 158	434.94 168	387.73 167	1110.57 168	87.69 160	887.02 166	282.92 157	779.29 160	98.57 162	422.76 165	502.40 154	162.19 161	163.87 157

ADS-MVSNet		443.33 142	482.84 142	324.79 158	434.94 168	387.73 167	1110.57 168	87.69 160	887.02 166	282.92 157	779.29 160	98.57 162	422.76 165	502.40 154	162.19 161	163.87 157

IB-MVS	872.44 4	616.41 154	700.96 155	362.78 160	426.10 167	409.25 169	1822.69 178	124.42 176	1186.23 178	366.85 167	1079.42 179	190.60 180	451.78 167	930.72 177	181.59 165	227.30 167
Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021
LP		495.57 147	552.82 148	323.82 157	377.78 162	343.94 163	1099.61 167	67.44 156	1450.39 185	417.42 168	790.39 162	130.18 168	472.61 168	519.53 160	122.60 154	154.91 156

IterMVS		615.05 153	691.66 154	385.23 162	516.40 171	454.80 172	1863.80 179	102.10 168	1142.20 177	364.10 166	1093.20 181	135.00 169	480.40 169	826.90 173	181.20 164	220.50 166
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
GG-mvs-BLEND				596.01 177	611.29 178	600.33 184	790.30 157	513.12 218		552.71 180	567.40 153	662.54 223	531.67 170	503.93 156	779.80 205	656.02 196

gm-plane-assit					611.29 178	600.33 184			579.21 156		567.40 153		531.67 170	503.93 156

gg-mvs-nofinetune		594.69 151	605.37 152	562.67 174	617.29 182	500.33 175	772.30 156	413.12 208	579.21 156	552.71 180	567.40 153	662.54 223	531.67 170	503.93 156	779.80 205	656.02 196

CR-MVSNet		612.36 152	617.81 153	596.01 177	611.29 178	600.33 184	790.30 157	513.12 218	579.21 156	552.71 180	567.40 153	662.54 223	531.67 170	503.93 156	779.80 205	656.02 196

CSCG		826.03 164	963.29 167	414.24 163	421.52 166	426.11 170	2230.35 182	179.52 189	1827.44 194	733.43 195	933.12 170	281.25 193	545.23 174	1800.35 201	262.64 179	271.38 171

Gipuma		689.75 156	767.00 157	458.00 166	613.00 181	549.00 182	1943.00 180	187.00 190	1230.00 179	518.00 177	1092.00 180	203.00 186	564.00 175	892.00 176	225.00 175	261.00 170
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
mvs_anonymous		774.90 160	882.28 164	452.77 164	636.50 183	537.20 178	2348.80 185	120.30 173	1504.30 187	474.40 173	1371.10 187	186.90 177	564.70 176	1078.90 189	219.30 173	256.40 168

diffmvs		774.90 160	882.28 164	452.77 164	636.50 183	537.20 178	2348.80 185	120.30 173	1504.30 187	474.40 173	1371.10 187	186.90 177	564.70 176	1078.90 189	219.30 173	256.40 168

ACMH+	729.97 2	661.38 155	754.00 156	383.51 161	368.96 159	376.38 166	2483.74 189	82.42 159	1089.25 176	333.39 164	1219.68 182	66.53 156	573.60 178	957.86 178	184.14 166	200.56 165

IterMVS-LS		758.94 157	856.56 160	466.10 167	606.60 176	546.80 180	2309.90 183	122.20 175	1402.80 183	463.50 172	1348.20 184	192.60 181	574.60 179	1028.60 187	234.60 177	276.90 172
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
K. test v3		877.74 167	980.16 168	570.46 176	1316.85 209	813.15 197	2565.52 191	103.78 169	1509.49 189	548.33 179	1258.90 183	219.93 191	587.82 180	1102.37 191	196.30 168	310.42 178

new-patchmatchnet		766.12 158	859.03 161	487.38 170	595.68 173	536.14 177	2346.27 184	142.51 181	1488.08 186	422.43 169	1361.32 186	163.65 174	628.60 181	1003.74 186	207.61 171	297.41 176

SixPastTwentyTwo		773.62 159	869.37 163	486.35 169	603.45 175	547.15 181	2532.14 190	106.92 170	1434.95 184	428.08 170	1360.56 185	165.15 175	628.96 182	984.09 179	209.01 172	282.94 173

PVSNet	1207.94 6	829.56 165	937.18 166	506.69 171	645.55 185	585.72 183	2477.98 188	130.52 177	1578.29 190	509.50 176	1460.01 189	194.90 182	637.19 183	1170.78 192	267.07 181	297.17 175

MVSTER		890.06 168	1005.91 174	542.52 172	736.13 190	653.90 189	2616.56 192	145.22 183	1692.10 193	555.69 183	1554.72 191	266.25 192	660.02 184	1219.66 193	266.84 180	313.64 179

lessismore_v0				569.20 175	667.25 187	644.68 188		96.45 165		428.86 171	1514.17 190	204.21 187	756.58 185	1061.60 188	197.79 169	306.34 177

JIA-IIPM		804.30 162	835.64 158	710.26 186	885.90 193	895.90 202	455.98 154	668.73 225	1297.17 180	1002.26 206	1001.67 177	655.98 221	756.98 186	667.90 167	885.21 217	477.90 192

RPMNet		804.30 162	835.64 158	710.26 186	885.90 193	895.90 202	455.98 154	668.73 225	1297.17 180	1002.26 206	1001.67 177	655.98 221	756.98 186	667.90 167	885.21 217	477.90 192

test_0402		1110.00 179	1260.00 180	660.00 181	900.00 196	780.00 196	3300.00 194	210.00 192	2040.00 198	690.00 190	1950.00 195	300.00 196	810.00 188	1620.00 198	330.00 188	390.00 189

ACMH	993.80 5	967.92 170	1106.11 177	553.33 173	494.00 170	534.00 176	3581.00 195	136.00 178	1585.00 191	478.00 175	1871.00 194	90.00 157	839.00 189	1460.00 195	260.00 178	287.00 174
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
TSAR-MVS + GP.		1386.84 185	1622.84 187	678.81 185	952.13 197	840.17 199	5358.21 206	170.75 188	2650.47 205	713.54 193	2394.28 202	209.42 189	855.56 190	1854.36 202	302.42 185	340.71 182

MVS_111021_LR		1136.45 180	1298.72 181	649.64 180	756.17 191	726.26 193	3785.94 196	138.15 180	2190.64 200	629.63 188	2064.39 197	165.45 176	874.83 191	1678.43 200	279.70 182	347.82 184

PVSNet_0	1661.03 9	968.54 171	1066.82 176	673.70 184	706.94 188	695.69 190	2669.02 193	153.52 185	2108.17 199	605.54 185	1679.14 192	213.26 190	886.75 192	1236.76 194	229.01 176	438.67 191

ACMP	1246.57 7	1086.24 177	1235.17 179	639.45 179	596.53 174	639.91 187	3904.24 198	152.04 184	1851.54 195	566.58 184	1997.95 196	138.50 170	938.30 193	1605.46 197	303.70 187	340.14 181
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
ACMM	1311.08 8	1165.06 181	1332.72 182	662.07 182	584.90 172	715.99 192	4373.59 202	153.99 186	1880.27 196	709.02 192	2316.97 198	188.63 179	939.89 194	1484.30 196	302.78 186	330.34 180
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
Patchmtry		1090.75 178	1198.88 178	766.38 191	1290.90 207	485.90 173	2423.98 187	1267.30 244	1297.17 180	923.90 197	923.40 169	1215.54 240	990.23 195	667.90 167	779.80 205	823.02 206

PatchT		856.34 166	860.99 162	842.38 192	1290.90 207	880.90 200	790.30 157	1267.30 244	579.21 156	923.90 197	567.40 153	662.54 223	990.23 195	887.56 175	779.80 205	656.02 196

ambc				999.00 193	999.00 198	999.00 204	999.00 161	999.00 238		999.00 200	999.00 171	999.00 233	999.00 197	999.00 180	999.00 223	999.00 222

OurMVSNet-221017-0		999.00 172	999.00 169	999.00 193	999.00 198	999.00 204	999.00 161	999.00 238	999.00 170	999.00 200	999.00 171	999.00 233	999.00 197	999.00 180	999.00 223	999.00 222

EPMVS		999.00 172	999.00 169	999.00 193	999.00 198	999.00 204	999.00 161	999.00 238	999.00 170	999.00 200	999.00 171	999.00 233	999.00 197	999.00 180	999.00 223	999.00 222

sosnet		1000.00 174	1000.00 171	1000.00 196	1000.00 201	1000.00 207	1000.00 164	1000.00 241	1000.00 172	1000.00 203	1000.00 174	1000.00 236	1000.00 200	1000.00 183	1000.00 226	1000.00 225

USDC		1000.00 174	1000.00 171	1000.00 196	1000.00 201	1000.00 207	1000.00 164	1000.00 241	1000.00 172	1000.00 203	1000.00 174	1000.00 236	1000.00 200	1000.00 183	1000.00 226	1000.00 225

TinyColmap		1000.00 174	1000.00 171	1000.00 196	1000.00 201	1000.00 207	1000.00 164	1000.00 241	1000.00 172	1000.00 203	1000.00 174	1000.00 236	1000.00 200	1000.00 183	1000.00 226	1000.00 225

MG-MVS		1256.50 183	1432.00 184	730.00 188	610.00 177	760.00 194	4720.00 203	169.00 187	1920.00 197	723.00 194	2510.00 204	201.00 184	1050.00 203	1645.00 199	390.00 191	380.00 187

ACMMPR		1296.60 184	1480.82 185	743.96 190	899.25 195	763.47 195	4305.47 201	143.90 182	2530.94 204	683.99 189	2346.34 200	201.65 185	1098.25 204	1920.59 203	295.21 183	370.16 185

PMVS	863.65 3	957.08 169	1054.11 175	666.00 183	401.00 165	495.00 174	3790.00 197	279.00 195	1607.00 192	521.00 178	1745.00 193	90.00 157	1105.00 205	639.00 166	415.00 192	398.00 190
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
MSLP-MVS++		1242.93 182	1411.08 183	738.48 189	712.71 189	712.68 191	4168.17 200	136.50 179	2276.40 201	613.28 187	2368.60 201	161.61 173	1130.38 206	1964.54 204	297.88 184	372.39 186

MVS-HIRNet		2125.39 192	2452.68 193	1143.53 201	2938.33 238	1446.92 215	6083.19 207	391.74 202	3801.71 211	1202.10 212	3439.72 207	492.73 208	1304.35 207	3048.25 212	676.32 196	679.32 201

COLMAP_ROB	2144.59 11	1658.33 188	1869.33 188	1025.33 199	1030.00 204	1023.00 210	5311.00 205	359.00 199	3044.00 206	937.00 199	2892.00 205	332.00 198	1440.00 208	2312.00 206	607.00 194	613.00 195
Johannes L. SchÃ¶nberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
OpenMVS_ROB	1936.51 10	1959.51 190	2224.88 192	1163.39 202	1253.91 206	1434.22 214	7065.71 212	272.76 194	2472.29 203	1647.54 232	3538.72 209	200.37 183	1496.48 209	2575.17 209	997.45 222	559.48 194

F-COLMAP		1878.17 189	2113.11 190	1173.33 203	1231.00 205	1174.00 211	6297.00 208	392.00 203	3356.00 209	1087.00 208	3082.00 206	361.00 202	1670.00 210	2523.00 208	689.00 197	676.00 200

FPMVS		1407.00 186	1495.59 186	1141.23 200	648.01 186	893.85 201	4124.00 199	503.81 217	3219.04 207	742.72 196	2498.84 203	157.98 172	1727.83 211	832.93 174	732.98 204	802.00 203

PCF-MVS	4335.85 20	2272.23 195	2597.03 196	1297.84 204	1701.20 213	1332.37 212	8105.11 223	451.45 211	4031.84 213	1099.10 209	3966.50 213	467.45 206	1734.05 212	2701.68 210	848.94 214	827.11 207
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CHOSEN 280x420		2340.81 196	2643.03 197	1434.14 206	2025.55 228	1629.36 221	6542.40 209	412.49 205	4219.70 214	1547.02 223	4328.52 215	650.74 218	1798.26 213	3333.17 214	727.72 201	874.79 211

CHOSEN 1792x2688		2340.81 196	2643.03 197	1434.14 206	2025.55 228	1629.36 221	6542.40 209	412.49 205	4219.70 214	1547.02 223	4328.52 215	650.74 218	1798.26 213	3333.17 214	727.72 201	874.79 211

HyFIR lowres test		2340.81 196	2643.03 197	1434.14 206	2025.55 228	1629.36 221	6542.40 209	412.49 205	4219.70 214	1547.02 223	4328.52 215	650.74 218	1798.26 213	3333.17 214	727.72 201	874.79 211

PLC	2858.82 16	2192.92 193	2474.00 194	1349.67 205	1407.00 210	1356.00 213	7164.00 213	475.00 215	3970.00 212	1237.00 214	3765.00 212	451.00 205	1891.00 216	3006.00 211	791.00 210	802.00 203
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
AdaColmap		2570.77 201	2948.61 202	1437.24 209	1873.64 220	1526.60 217	7819.77 220	373.97 200	4970.45 221	1479.29 220	4648.46 220	525.80 211	1904.97 217	4150.42 223	695.69 200	880.14 214

OpenMVS	2352.88 13	2263.08 194	2530.89 195	1459.67 211	1767.00 218	1591.00 219	7932.00 221	399.00 204	3643.00 210	1176.00 211	3569.00 210	297.00 195	1927.00 218	3302.00 213	693.00 199	861.00 210

SD-MVS		2654.53 202	3055.56 205	1451.45 210	1725.60 214	1598.35 220	9203.30 229	315.86 197	5016.02 223	1363.85 217	4894.28 222	387.23 204	2023.43 219	3973.88 221	620.04 195	732.56 202

CMPMVS	2623.62 15	1983.08 191	2156.14 191	1463.89 212	1414.80 211	1517.00 216	5239.20 204	867.40 231	3310.30 208	1128.70 210	3489.90 208	366.75 203	2030.20 220	2427.60 207	1160.60 230	844.46 209
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
3Dnovator	2482.06 14	2531.17 199	2839.56 200	1606.00 213	1732.00 215	1557.00 218	8375.00 225	483.00 216	4370.00 217	1371.00 218	4200.00 214	350.00 200	2207.00 221	3877.00 220	798.00 211	1054.00 228

DeepPCF-MVS	3452.42 18	2670.71 203	3021.57 203	1618.12 214	2377.67 233	1751.39 231	8915.70 228	567.44 222	4569.74 219	1236.84 213	4615.63 219	513.23 209	2291.32 222	3515.48 217	882.39 216	811.66 205

LF4IMVS		2699.50 204	3049.67 204	1649.00 215	1755.00 216	1689.00 225	8330.00 224	464.00 213	4997.00 222	1528.00 221	4763.00 221	568.00 214	2296.00 223	4215.00 224	827.00 213	962.00 219

tpmrst		2557.50 200	2847.12 201	1688.66 216	1784.08 219	1778.25 232	7445.50 219	342.14 198	4471.54 218	1534.55 222	4382.10 218	530.10 212	2361.21 224	4142.81 222	991.22 221	926.51 216

DeepC-MVS	3917.13 19	3155.06 208	3601.83 209	1814.72 219	2515.52 235	1941.53 234	10432.50 235	589.42 223	4789.45 220	1298.65 216	7677.31 233	578.35 215	2589.53 225	3611.78 219	923.52 219	913.10 215
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
MVS_111021_HR		3742.80 217	4330.34 218	1980.20 222	2484.31 234	2259.52 239	14973.80 241	515.90 221	6500.13 235	1949.21 237	6146.89 227	535.66 213	2593.66 226	4880.76 229	986.37 220	1087.43 229

OPM-MVS		3268.00 209	3762.89 210	1783.33 218	1756.00 217	1806.00 233	12319.00 237	307.00 196	6319.00 233	1557.00 226	5763.00 226	302.00 197	2609.00 227	5061.00 230	482.00 193	935.00 217

3Dnovator+	3414.41 17	3146.67 207	3537.00 208	1975.67 221	2310.00 231	2005.00 236	10100.00 233	626.00 224	5753.00 225	1803.00 235	5179.00 225	487.00 207	2622.00 228	4550.00 227	1025.00 229	1300.00 231

TSAR-MVS + MP.		3528.01 211	4065.89 217	1914.35 220	2349.10 232	2141.30 238	12362.70 238	417.60 209	6717.80 238	1759.40 234	6497.50 228	518.18 210	2629.38 229	5164.32 231	806.40 212	972.38 221

SteuartSystems-ACMMP		2891.50 206	3284.78 207	1711.67 217	1954.00 221	1655.00 224	10117.00 234	445.00 210	5102.00 224	1375.00 219	5126.00 224	351.00 201	2638.00 230	4402.00 226	691.00 198	842.00 208
Skip Steuart: Steuart Systems R&D Blog.
TAPA-MVS	6309.84 21	3374.90 210	3806.99 211	2078.63 225	2535.47 236	2499.25 240	8816.16 227	456.05 212	6255.60 232	1664.52 233	6704.88 230	629.95 216	2768.38 231	6343.93 234	856.35 215	968.25 220
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
ITE_SJBPF				2014.00 224	1998.00 222	1992.00 235		701.00 227	5989.00 226	1812.00 236	3612.00 211	650.00 217	2852.00 232	4601.00 228	1195.00 231	1198.00 230

Vis-MVSNet		2877.42 205	3170.00 206	1999.67 223	1673.00 212	2042.00 237	8593.00 226	474.00 214	6452.00 234	1268.00 215	5125.00 223	339.00 199	3004.00 233	4222.00 225	384.00 190	953.00 218
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
HSP-MVS		4296.20 219	4911.12 221	2451.45 231	2725.60 237	2598.35 241	16203.30 242	515.86 220	7016.02 239	2363.85 238	6894.28 231	887.23 231	3023.43 234	5973.88 233	1620.04 239	1732.56 236

MAR-MVS		3973.16 218	4387.92 219	2728.86 232	3345.27 239	3341.39 244	11403.90 236	798.76 229	6555.62 237	2569.29 239	6514.86 229	834.97 230	3237.43 235	5891.08 232	1577.54 238	1607.76 232
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
API-MVS		4380.83 220	4906.56 220	2803.67 233	3844.00 240	3116.00 243	13454.00 239	901.00 237	6511.00 236	2794.00 240	7365.00 232	754.00 227	3634.00 236	6622.00 235	1914.00 241	1661.00 235

OMC-MVS		5022.26 221	5748.82 222	2842.58 234	4905.27 242	3101.27 242	14933.60 240	812.24 230	9278.40 240	2959.29 241	8800.17 239	1092.24 239	3806.30 237	7568.54 242	1389.60 237	1620.18 234

tpm2		3617.85 212	4007.23 212	2449.73 226	2012.71 223	1698.05 226	7351.19 214	869.29 232	6132.06 227	1588.28 227	8007.42 234	1281.09 241	3888.11 238	7472.04 237	1351.00 232	1763.02 237

tpm cat1		3617.85 212	4007.23 212	2449.73 226	2012.71 223	1698.05 226	7351.19 214	869.29 232	6132.06 227	1588.28 227	8007.42 234	1281.09 241	3888.11 238	7472.04 237	1351.00 232	1763.02 237

tpmp4_e23		3617.85 212	4007.23 212	2449.73 226	2012.71 223	1698.05 226	7351.19 214	869.29 232	6132.06 227	1588.28 227	8007.42 234	1281.09 241	3888.11 238	7472.04 237	1351.00 232	1763.02 237

CostFormer		3617.85 212	4007.23 212	2449.73 226	2012.71 223	1698.05 226	7351.19 214	869.29 232	6132.06 227	1588.28 227	8007.42 234	1281.09 241	3888.11 238	7472.04 237	1351.00 232	1763.02 237

tpm		3617.85 212	4007.23 212	2449.73 226	2012.71 223	1698.05 226	7351.19 214	869.29 232	6132.06 227	1588.28 227	8007.42 234	1281.09 241	3888.11 238	7472.04 237	1351.00 232	1763.02 237

CLD-MVS		7338.25 222	8341.00 223	4330.00 235	4902.00 241	4991.00 245	23318.00 244	728.00 228	14437.00 246	4378.00 243	13379.00 243	824.00 229	5708.00 243	11429.00 247	1674.00 240	2291.00 242
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D		7684.71 223	8776.23 224	4410.16 236	5298.55 243	5631.53 246	34329.90 246	1504.57 246	11554.00 245	3896.41 242	15111.00 244	812.19 228	5985.63 244	3516.20 218	2963.23 242	1613.31 233

UA-Net		10000.00 224	10000.00 225	10000.00 238	10000.00 246	10000.00 249	10000.00 230	10000.00 251	10000.00 241	10000.00 246	10000.00 240	10000.00 248	10000.00 245	10000.00 243	10000.00 245	10000.00 245

uncertanet		10000.00 224	10000.00 225	10000.00 238	10000.00 246	10000.00 249	10000.00 230	10000.00 251	10000.00 241	10000.00 246	10000.00 240	10000.00 248	10000.00 245	10000.00 243	10000.00 245	10000.00 245

uanet		10000.00 224	10000.00 225	10000.00 238	10000.00 246	10000.00 249	10000.00 230	10000.00 251	10000.00 241	10000.00 246	10000.00 240	10000.00 248	10000.00 245	10000.00 243	10000.00 245	10000.00 245

CNLPA		10738.67 228	11772.44 229	7637.33 237	9120.00 245	8206.00 247	22252.00 243	2010.00 247	24984.00 247	7458.00 245	22596.00 246	2940.00 246	10260.00 248	11100.00 246	3492.00 243	4446.00 243

MVE	10021.00 22	10550.67 227	10002.44 228	12195.33 241	6242.00 244	8768.00 248	30896.00 245	4451.00 248	10331.00 244	6247.00 244	18296.00 245	283.00 194	21484.00 249	7364.00 236	5912.00 244	6334.00 244
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
LTVRE_ROB	20565.47 23	23378.08 229	22805.00 230	25097.33 242	15500.00 249	19201.00 252	42712.00 247	6055.00 249	38388.00 248	16926.00 249	38534.00 247	7071.00 247	35653.00 250	29475.00 248	10584.00 248	20438.00 249
Andreas Kuhn, Heiko HirschmÃ¼ller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016
MSDG		32606.17 230	34443.44 231	27094.33 243	29249.00 250	25246.00 253	51144.00 248	6705.00 250	42886.00 249	22888.00 250	48534.00 248	13263.00 251	37507.00 251	79298.00 249	16024.00 249	18530.00 248

114514_t		99999.00 231	99999.00 232	99999.00 244	99999.00 251	99999.00 254	99999.00 249	99999.00 254	99999.00 250	99999.00 251	99999.00 249	99999.00 252	99999.00 252	99999.00 250	99999.00 250	99999.00 250

PHI-MVS		99999.00 231	99999.00 232	99999.00 244	99999.00 251	99999.00 254	99999.00 249	99999.00 254	99999.00 250	99999.00 251	99999.00 249	99999.00 252	99999.00 252	99999.00 250	99999.00 250	99999.00 250

XVG-OURS-SEG-HR		999999.00 236	999999.00 234	999999.00 246	999999.00 253	999999.00 256	999999.00 251	999999.00 256	999999.00 252	999999.00 253	999999.00 251	999999.00 254	999999.00 254	999999.00 252	999999.00 252	999999.00 252

XVG-OURS		999999.00 236	999999.00 234	999999.00 246	999999.00 253	999999.00 256	999999.00 251	999999.00 256	999999.00 252	999999.00 253	999999.00 251	999999.00 254	999999.00 254	999999.00 252	999999.00 252	999999.00 252

XVG-ACMP-BASELINE		999999.00 236	999999.00 234	999999.00 246	999999.00 253	999999.00 256	999999.00 251	999999.00 256	999999.00 252	999999.00 253	999999.00 251	999999.00 254	999999.00 254	999999.00 252	999999.00 252	999999.00 252

tfpn200view9		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

view600		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

view800		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

conf0.05thres1000		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

tfpn		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

semantic-postprocess				10000000.00 249	10000000.00 256	10000000.00 259		10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

pmmvs6		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

pmmvs5		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

test_post1							10000000.00 254				10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255

test_post											10000000.00 254	10000000.00 257	10000000.00 257

patchmatchnet-post											10000000.00 254	10000000.00 257	10000000.00 257

Anonymous20231211		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

pmmvs-eth3d		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

Anonymous20231206		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

Patchmatch-test1		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

Patchmatch-test		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

Patchmatch-RL test		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

canonicalmvs		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

anonymousdsp		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

FIs		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

FC-MVSNet-test		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

sosnet-low-res		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

AllTest		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

TestCases				10000000.00 249	10000000.00 256	10000000.00 259		10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

testing_2		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

test_normal		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

HPM-MVS++		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

XVS		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

pm-mvs1		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

X-MVStestdata		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

APDe-MVS		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

APD-MVS_3200maxsize		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

pmmvs4		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

test-LLR		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

TESTMET0.1,1		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

test-mter		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

testgi		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

test20.03		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

thres600view7		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

1111		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

.test1245		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

MP-MVS		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

testmvs		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

thres400		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

test123		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

thres200		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

test0.0.03 1		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

test12356		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

testus		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

pmmvs3		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

testmv		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

EMVS		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

E-PMN		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

test2356		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

test1235678		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

PGM-MVS		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

MCST-MVS		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

MVS_Test		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

PMMVS2		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

PM-MVS		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

HQP_MVS		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

plane_prior5								10000000.00 259					10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

mPP-MVS		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

DI_MVS_plusplus_test		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

DWT-MVSNet_test		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

Test4		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

HPM-MVS_fast		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

PatchFormer-LS_test		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

testpf		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

HPM-MVS		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

LPG-MVS_test		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

LGP-MVS_train				10000000.00 249	10000000.00 256	10000000.00 259		10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

EPNet_dtu		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP4-MVS										10000000.00 256			10000000.00 257			10000000.00 255

CNVR-MVS		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

NCCC		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

CP-MVS		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

no-one		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

CPTT-MVS		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

HQP-MVS		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

IS-MVSNet		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

PAPM_NR		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

PAPR		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

Vis-MVSNet (Re-imp)		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

PatchMatch-RL		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

TDRefinement		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

EPP-MVSNet		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

PMMVS		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

PAPM		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

ACMMP		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255
Qingshan Xu, Weihang Kong, Wenbing Tao, Marc Pollefeys: Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence
ANet_high		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

PNet_i23d		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

wuyk23d		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

wuykxyi23d		10000000.00 239	10000000.00 240	10000000.00 249	10000000.00 256	10000000.00 259	10000000.00 254	10000000.00 259	10000000.00 255	10000000.00 256	10000000.00 254	10000000.00 257	10000000.00 257	10000000.00 255	10000000.00 255	10000000.00 255

APD-MVS		1000000000.00 326	1000000000.00 327	1000000000.00 339	1000000000.00 352	1000000000.00 354	1000000000.00 345	1000000000.00 356	1000000000.00 349	1000000000.00 350	1000000000.00 349	1000000000.00 354	1000000000.00 352	1000000000.00 349	1000000000.00 349	1000000000.00 347
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
ESAPD								10000000.00 259

sam_mvs1												10000000.00 257

sam_mvs												10000000.00 257

MTGPA								10000000.00 259

MTMP								10000000.00 259

test9_res														0.00 1	0.00 1	0.00 1

agg_prior2														0.00 1	0.00 1	0.00 1

test_prior4						0.00 1	0.00 1

test_prior2							0.00 1		0.00 1	0.00 1	0.00 1	0.00 1		0.00 1	0.00 1

新几何2							0.00 1

旧先验1					0.00 1	0.00 1		0.00 1			0.00 1	0.00 1			0.00 1	0.00 1

原ACMM2							0.00 1

test222					0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1			0.00 1	0.00 1

segment_acmp												0.00 1

testdata1							0.00 1		0.00 1

plane_prior7					10000000.00 256	10000000.00 259

plane_prior6					10000000.00 256	10000000.00 259						10000000.00 257

plane_prior4											10000000.00 254

plane_prior3						10000000.00 259			10000000.00 255	10000000.00 256

plane_prior2							10000000.00 254		10000000.00 255

plane_prior1					10000000.00 256

plane_prior						1.00 64	2.00 93		2.00 94						2.00 93

n2								14.20 133

nn								1.42 69

door-mid								1.42 69

test11								1.00 64

door								99.00 167

HQP5-MVS						10000000.00 259

HQP-NCC					10000000.00 256		10000000.00 254		10000000.00 255	10000000.00 256

ACMP_Plane					10000000.00 256		10000000.00 254		10000000.00 255	10000000.00 256

BP-MVS														10000000.00 255

HQP3-MVS								10000000.00 259							10000000.00 255

HQP2-MVS												10000000.00 257

NP-MVS					10000000.00 256	10000000.00 259					10000000.00 254

MDTV_nov1_ep13_2view						9.99 116	9.99 113		9.99 114	9.99 114		9.99 114		9.99 112		9.99 114

ACMMP++_ref															10000000.00 255

ACMMP++															10000000.00 255

Test By Simon												990.00 232

High-resolution multi-view benchmark