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

zzz-MVS		833442.10 235	1111233.77 239	67.09 128	65.59 132	64.81 137	284.50 135	10000000.00 260	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		833442.10 235	1111233.77 239	67.09 128	65.59 132	64.81 137	284.50 135	10000000.00 260	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		833433.63 234	1111219.60 238	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	10000000.00 256	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	376.00 202	756.00 162	609.00 187	71.00 128	106.00 164	195.00 154	102.00 134	171.00 163	346.00 184

DeepC-MVS_fast	2190.19 12	1535.59 188	1886.82 190	481.89 169	847.73 193	830.16 199	7943.84 223	189.23 192	2398.83 203	691.73 192	2341.13 200	209.16 189	230.25 155	1999.25 206	360.46 190	385.25 189
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	216.53 194	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	124.42 177	1186.23 178	366.85 167	1079.42 179	190.60 181	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				596.01 178	611.29 178	600.33 185	790.30 157	513.12 219		552.71 181	567.40 153	662.54 224	531.67 170	503.93 156	779.80 206	656.02 197

gm-plane-assit					611.29 178	600.33 185			579.21 156		567.40 153		531.67 170	503.93 156

gg-mvs-nofinetune		594.69 151	605.37 152	562.67 175	617.29 182	500.33 175	772.30 156	413.12 209	579.21 156	552.71 181	567.40 153	662.54 224	531.67 170	503.93 156	779.80 206	656.02 197

CR-MVSNet		612.36 152	617.81 153	596.01 178	611.29 178	600.33 185	790.30 157	513.12 219	579.21 156	552.71 181	567.40 153	662.54 224	531.67 170	503.93 156	779.80 206	656.02 197

CSCG		826.03 165	963.29 168	414.24 163	421.52 166	426.11 170	2230.35 182	179.52 190	1827.44 195	733.43 196	933.12 170	281.25 194	545.23 174	1800.35 202	262.64 180	271.38 172

Gipuma		689.75 156	767.00 157	458.00 167	613.00 181	549.00 183	1943.00 180	187.00 191	1230.00 179	518.00 178	1092.00 180	203.00 187	564.00 175	892.00 176	225.00 176	261.00 171
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

casdiffmvs		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	2483.74 190	82.42 159	1089.25 176	333.39 164	1219.68 182	66.53 156	573.60 179	957.86 178	184.14 166	200.56 165

IterMVS-LS		758.94 157	856.56 160	466.10 168	606.60 176	546.80 181	2309.90 183	122.20 176	1402.80 183	463.50 172	1348.20 184	192.60 182	574.60 180	1028.60 187	234.60 178	276.90 173
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
K. test v3		877.74 168	980.16 169	570.46 177	1316.85 210	813.15 198	2565.52 192	103.78 169	1509.49 190	548.33 180	1258.90 183	219.93 192	587.82 181	1102.37 192	196.30 168	310.42 179

new-patchmatchnet		766.12 158	859.03 161	487.38 171	595.68 173	536.14 177	2346.27 184	142.51 182	1488.08 186	422.43 169	1361.32 186	163.65 174	628.60 182	1003.74 186	207.61 171	297.41 177

SixPastTwentyTwo		773.62 159	869.37 163	486.35 170	603.45 175	547.15 182	2532.14 191	106.92 170	1434.95 184	428.08 170	1360.56 185	165.15 175	628.96 183	984.09 179	209.01 172	282.94 174

PVSNet	1207.94 6	829.56 166	937.18 167	506.69 172	645.55 186	585.72 184	2477.98 189	130.52 178	1578.29 191	509.50 177	1460.01 190	194.90 183	637.19 184	1170.78 193	267.07 182	297.17 176

MVSTER		890.06 169	1005.91 175	542.52 173	736.13 191	653.90 190	2616.56 193	145.22 184	1692.10 194	555.69 184	1554.72 192	266.25 193	660.02 185	1219.66 194	266.84 181	313.64 180

lessismore_v0				569.20 176	667.25 188	644.68 189		96.45 165		428.86 171	1514.17 191	204.21 188	756.58 186	1061.60 188	197.79 169	306.34 178

JIA-IIPM		804.30 163	835.64 158	710.26 187	885.90 194	895.90 203	455.98 154	668.73 226	1297.17 180	1002.26 207	1001.67 177	655.98 222	756.98 187	667.90 167	885.21 218	477.90 193

RPMNet		804.30 163	835.64 158	710.26 187	885.90 194	895.90 203	455.98 154	668.73 226	1297.17 180	1002.26 207	1001.67 177	655.98 222	756.98 187	667.90 167	885.21 218	477.90 193

test_0402		1110.00 180	1260.00 181	660.00 182	900.00 197	780.00 197	3300.00 195	210.00 193	2040.00 199	690.00 191	1950.00 196	300.00 197	810.00 189	1620.00 199	330.00 189	390.00 190

ACMH	993.80 5	967.92 171	1106.11 178	553.33 174	494.00 170	534.00 176	3581.00 196	136.00 179	1585.00 192	478.00 176	1871.00 195	90.00 157	839.00 190	1460.00 196	260.00 179	287.00 175
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
TSAR-MVS + GP.		1386.84 186	1622.84 188	678.81 186	952.13 198	840.17 200	5358.21 207	170.75 189	2650.47 206	713.54 194	2394.28 203	209.42 190	855.56 191	1854.36 203	302.42 186	340.71 183

MVS_111021_LR		1136.45 181	1298.72 182	649.64 181	756.17 192	726.26 194	3785.94 197	138.15 181	2190.64 201	629.63 189	2064.39 198	165.45 176	874.83 192	1678.43 201	279.70 183	347.82 185

PVSNet_0	1661.03 9	968.54 172	1066.82 177	673.70 185	706.94 189	695.69 191	2669.02 194	153.52 186	2108.17 200	605.54 186	1679.14 193	213.26 191	886.75 193	1236.76 195	229.01 177	438.67 192

ACMP	1246.57 7	1086.24 178	1235.17 180	639.45 180	596.53 174	639.91 188	3904.24 199	152.04 185	1851.54 196	566.58 185	1997.95 197	138.50 170	938.30 194	1605.46 198	303.70 188	340.14 182
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
ACMM	1311.08 8	1165.06 182	1332.72 183	662.07 183	584.90 172	715.99 193	4373.59 203	153.99 187	1880.27 197	709.02 193	2316.97 199	188.63 180	939.89 195	1484.30 197	302.78 187	330.34 181
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
Patchmtry		1090.75 179	1198.88 179	766.38 192	1290.90 208	485.90 173	2423.98 188	1267.30 245	1297.17 180	923.90 198	923.40 169	1215.54 241	990.23 196	667.90 167	779.80 206	823.02 207

PatchT		856.34 167	860.99 162	842.38 193	1290.90 208	880.90 201	790.30 157	1267.30 245	579.21 156	923.90 198	567.40 153	662.54 224	990.23 196	887.56 175	779.80 206	656.02 197

ambc				999.00 194	999.00 199	999.00 205	999.00 161	999.00 239		999.00 201	999.00 171	999.00 234	999.00 198	999.00 180	999.00 224	999.00 223

OurMVSNet-221017-0		999.00 173	999.00 170	999.00 194	999.00 199	999.00 205	999.00 161	999.00 239	999.00 170	999.00 201	999.00 171	999.00 234	999.00 198	999.00 180	999.00 224	999.00 223

EPMVS		999.00 173	999.00 170	999.00 194	999.00 199	999.00 205	999.00 161	999.00 239	999.00 170	999.00 201	999.00 171	999.00 234	999.00 198	999.00 180	999.00 224	999.00 223

sosnet		1000.00 175	1000.00 172	1000.00 197	1000.00 202	1000.00 208	1000.00 164	1000.00 242	1000.00 172	1000.00 204	1000.00 174	1000.00 237	1000.00 201	1000.00 183	1000.00 227	1000.00 226

USDC		1000.00 175	1000.00 172	1000.00 197	1000.00 202	1000.00 208	1000.00 164	1000.00 242	1000.00 172	1000.00 204	1000.00 174	1000.00 237	1000.00 201	1000.00 183	1000.00 227	1000.00 226

TinyColmap		1000.00 175	1000.00 172	1000.00 197	1000.00 202	1000.00 208	1000.00 164	1000.00 242	1000.00 172	1000.00 204	1000.00 174	1000.00 237	1000.00 201	1000.00 183	1000.00 227	1000.00 226

MG-MVS		1256.50 184	1432.00 185	730.00 189	610.00 177	760.00 195	4720.00 204	169.00 188	1920.00 198	723.00 195	2510.00 205	201.00 185	1050.00 204	1645.00 200	390.00 192	380.00 188

ACMMPR		1296.60 185	1480.82 186	743.96 191	899.25 196	763.47 196	4305.47 202	143.90 183	2530.94 205	683.99 190	2346.34 201	201.65 186	1098.25 205	1920.59 204	295.21 184	370.16 186

PMVS	863.65 3	957.08 170	1054.11 176	666.00 184	401.00 165	495.00 174	3790.00 198	279.00 196	1607.00 193	521.00 179	1745.00 194	90.00 157	1105.00 206	639.00 166	415.00 193	398.00 191
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
MSLP-MVS++		1242.93 183	1411.08 184	738.48 190	712.71 190	712.68 192	4168.17 201	136.50 180	2276.40 202	613.28 188	2368.60 202	161.61 173	1130.38 207	1964.54 205	297.88 185	372.39 187

MVS-HIRNet		2125.39 193	2452.68 194	1143.53 202	2938.33 239	1446.92 216	6083.19 208	391.74 203	3801.71 212	1202.10 213	3439.72 208	492.73 209	1304.35 208	3048.25 213	676.32 197	679.32 202

COLMAP_ROB	2144.59 11	1658.33 189	1869.33 189	1025.33 200	1030.00 205	1023.00 211	5311.00 206	359.00 200	3044.00 207	937.00 200	2892.00 206	332.00 199	1440.00 209	2312.00 207	607.00 195	613.00 196
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	1959.51 191	2224.88 193	1163.39 203	1253.91 207	1434.22 215	7065.71 213	272.76 195	2472.29 204	1647.54 233	3538.72 210	200.37 184	1496.48 210	2575.17 210	997.45 223	559.48 195

F-COLMAP		1878.17 190	2113.11 191	1173.33 204	1231.00 206	1174.00 212	6297.00 209	392.00 204	3356.00 210	1087.00 209	3082.00 207	361.00 203	1670.00 211	2523.00 209	689.00 198	676.00 201

FPMVS		1407.00 187	1495.59 187	1141.23 201	648.01 187	893.85 202	4124.00 200	503.81 218	3219.04 208	742.72 197	2498.84 204	157.98 172	1727.83 212	832.93 174	732.98 205	802.00 204

PCF-MVS	4335.85 20	2272.23 196	2597.03 197	1297.84 205	1701.20 214	1332.37 213	8105.11 224	451.45 212	4031.84 214	1099.10 210	3966.50 214	467.45 207	1734.05 213	2701.68 211	848.94 215	827.11 208
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CHOSEN 280x420		2340.81 197	2643.03 198	1434.14 207	2025.55 229	1629.36 222	6542.40 210	412.49 206	4219.70 215	1547.02 224	4328.52 216	650.74 219	1798.26 214	3333.17 215	727.72 202	874.79 212

CHOSEN 1792x2688		2340.81 197	2643.03 198	1434.14 207	2025.55 229	1629.36 222	6542.40 210	412.49 206	4219.70 215	1547.02 224	4328.52 216	650.74 219	1798.26 214	3333.17 215	727.72 202	874.79 212

HyFIR lowres test		2340.81 197	2643.03 198	1434.14 207	2025.55 229	1629.36 222	6542.40 210	412.49 206	4219.70 215	1547.02 224	4328.52 216	650.74 219	1798.26 214	3333.17 215	727.72 202	874.79 212

PLC	2858.82 16	2192.92 194	2474.00 195	1349.67 206	1407.00 211	1356.00 214	7164.00 214	475.00 216	3970.00 213	1237.00 215	3765.00 213	451.00 206	1891.00 217	3006.00 212	791.00 211	802.00 204
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
AdaColmap		2570.77 202	2948.61 203	1437.24 210	1873.64 221	1526.60 218	7819.77 221	373.97 201	4970.45 222	1479.29 221	4648.46 221	525.80 212	1904.97 218	4150.42 224	695.69 201	880.14 215

OpenMVS	2352.88 13	2263.08 195	2530.89 196	1459.67 212	1767.00 219	1591.00 220	7932.00 222	399.00 205	3643.00 211	1176.00 212	3569.00 211	297.00 196	1927.00 219	3302.00 214	693.00 200	861.00 211

SD-MVS		2654.53 203	3055.56 206	1451.45 211	1725.60 215	1598.35 221	9203.30 230	315.86 198	5016.02 224	1363.85 218	4894.28 223	387.23 205	2023.43 220	3973.88 222	620.04 196	732.56 203

CMPMVS	2623.62 15	1983.08 192	2156.14 192	1463.89 213	1414.80 212	1517.00 217	5239.20 205	867.40 232	3310.30 209	1128.70 211	3489.90 209	366.75 204	2030.20 221	2427.60 208	1160.60 231	844.46 210
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
3Dnovator	2482.06 14	2531.17 200	2839.56 201	1606.00 214	1732.00 216	1557.00 219	8375.00 226	483.00 217	4370.00 218	1371.00 219	4200.00 215	350.00 201	2207.00 222	3877.00 221	798.00 212	1054.00 229

DeepPCF-MVS	3452.42 18	2670.71 204	3021.57 204	1618.12 215	2377.67 234	1751.39 232	8915.70 229	567.44 223	4569.74 220	1236.84 214	4615.63 220	513.23 210	2291.32 223	3515.48 218	882.39 217	811.66 206

LF4IMVS		2699.50 205	3049.67 205	1649.00 216	1755.00 217	1689.00 226	8330.00 225	464.00 214	4997.00 223	1528.00 222	4763.00 222	568.00 215	2296.00 224	4215.00 225	827.00 214	962.00 220

tpmrst		2557.50 201	2847.12 202	1688.66 217	1784.08 220	1778.25 233	7445.50 220	342.14 199	4471.54 219	1534.55 223	4382.10 219	530.10 213	2361.21 225	4142.81 223	991.22 222	926.51 217

DeepC-MVS	3917.13 19	3155.06 209	3601.83 210	1814.72 220	2515.52 236	1941.53 235	10432.50 236	589.42 224	4789.45 221	1298.65 217	7677.31 234	578.35 216	2589.53 226	3611.78 220	923.52 220	913.10 216
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		3742.80 218	4330.34 219	1980.20 223	2484.31 235	2259.52 240	14973.80 242	515.90 222	6500.13 236	1949.21 238	6146.89 228	535.66 214	2593.66 227	4880.76 230	986.37 221	1087.43 230

OPM-MVS		3268.00 210	3762.89 211	1783.33 219	1756.00 218	1806.00 234	12319.00 238	307.00 197	6319.00 234	1557.00 227	5763.00 227	302.00 198	2609.00 228	5061.00 231	482.00 194	935.00 218

3Dnovator+	3414.41 17	3146.67 208	3537.00 209	1975.67 222	2310.00 232	2005.00 237	10100.00 234	626.00 225	5753.00 226	1803.00 236	5179.00 226	487.00 208	2622.00 229	4550.00 228	1025.00 230	1300.00 232

TSAR-MVS + MP.		3528.01 212	4065.89 218	1914.35 221	2349.10 233	2141.30 239	12362.70 239	417.60 210	6717.80 239	1759.40 235	6497.50 229	518.18 211	2629.38 230	5164.32 232	806.40 213	972.38 222

SteuartSystems-ACMMP		2891.50 207	3284.78 208	1711.67 218	1954.00 222	1655.00 225	10117.00 235	445.00 211	5102.00 225	1375.00 220	5126.00 225	351.00 202	2638.00 231	4402.00 227	691.00 199	842.00 209
Skip Steuart: Steuart Systems R&D Blog.
TAPA-MVS	6309.84 21	3374.90 211	3806.99 212	2078.63 226	2535.47 237	2499.25 241	8816.16 228	456.05 213	6255.60 233	1664.52 234	6704.88 231	629.95 217	2768.38 232	6343.93 235	856.35 216	968.25 221
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
ITE_SJBPF				2014.00 225	1998.00 223	1992.00 236		701.00 228	5989.00 227	1812.00 237	3612.00 212	650.00 218	2852.00 233	4601.00 229	1195.00 232	1198.00 231

Vis-MVSNet		2877.42 206	3170.00 207	1999.67 224	1673.00 213	2042.00 238	8593.00 227	474.00 215	6452.00 235	1268.00 216	5125.00 224	339.00 200	3004.00 234	4222.00 226	384.00 191	953.00 219
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
HSP-MVS		4296.20 220	4911.12 222	2451.45 232	2725.60 238	2598.35 242	16203.30 243	515.86 221	7016.02 240	2363.85 239	6894.28 232	887.23 232	3023.43 235	5973.88 234	1620.04 240	1732.56 237

MAR-MVS		3973.16 219	4387.92 220	2728.86 233	3345.27 240	3341.39 245	11403.90 237	798.76 230	6555.62 238	2569.29 240	6514.86 230	834.97 231	3237.43 236	5891.08 233	1577.54 239	1607.76 233
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		4380.83 221	4906.56 221	2803.67 234	3844.00 241	3116.00 244	13454.00 240	901.00 238	6511.00 237	2794.00 241	7365.00 233	754.00 228	3634.00 237	6622.00 236	1914.00 242	1661.00 236

OMC-MVS		5022.26 222	5748.82 223	2842.58 235	4905.27 243	3101.27 243	14933.60 241	812.24 231	9278.40 241	2959.29 242	8800.17 240	1092.24 240	3806.30 238	7568.54 243	1389.60 238	1620.18 235

tpm2		3617.85 213	4007.23 213	2449.73 227	2012.71 224	1698.05 227	7351.19 215	869.29 233	6132.06 228	1588.28 228	8007.42 235	1281.09 242	3888.11 239	7472.04 238	1351.00 233	1763.02 238

tpm cat1		3617.85 213	4007.23 213	2449.73 227	2012.71 224	1698.05 227	7351.19 215	869.29 233	6132.06 228	1588.28 228	8007.42 235	1281.09 242	3888.11 239	7472.04 238	1351.00 233	1763.02 238

tpmp4_e23		3617.85 213	4007.23 213	2449.73 227	2012.71 224	1698.05 227	7351.19 215	869.29 233	6132.06 228	1588.28 228	8007.42 235	1281.09 242	3888.11 239	7472.04 238	1351.00 233	1763.02 238

CostFormer		3617.85 213	4007.23 213	2449.73 227	2012.71 224	1698.05 227	7351.19 215	869.29 233	6132.06 228	1588.28 228	8007.42 235	1281.09 242	3888.11 239	7472.04 238	1351.00 233	1763.02 238

tpm		3617.85 213	4007.23 213	2449.73 227	2012.71 224	1698.05 227	7351.19 215	869.29 233	6132.06 228	1588.28 228	8007.42 235	1281.09 242	3888.11 239	7472.04 238	1351.00 233	1763.02 238

CLD-MVS		7338.25 223	8341.00 224	4330.00 236	4902.00 242	4991.00 246	23318.00 245	728.00 229	14437.00 247	4378.00 244	13379.00 244	824.00 230	5708.00 244	11429.00 248	1674.00 241	2291.00 243
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D		7684.71 224	8776.23 225	4410.16 237	5298.55 244	5631.53 247	34329.90 247	1504.57 247	11554.00 246	3896.41 243	15111.00 245	812.19 229	5985.63 245	3516.20 219	2963.23 243	1613.31 234

UA-Net		10000.00 225	10000.00 226	10000.00 239	10000.00 247	10000.00 250	10000.00 231	10000.00 252	10000.00 242	10000.00 247	10000.00 241	10000.00 249	10000.00 246	10000.00 244	10000.00 246	10000.00 246

uncertanet		10000.00 225	10000.00 226	10000.00 239	10000.00 247	10000.00 250	10000.00 231	10000.00 252	10000.00 242	10000.00 247	10000.00 241	10000.00 249	10000.00 246	10000.00 244	10000.00 246	10000.00 246

uanet		10000.00 225	10000.00 226	10000.00 239	10000.00 247	10000.00 250	10000.00 231	10000.00 252	10000.00 242	10000.00 247	10000.00 241	10000.00 249	10000.00 246	10000.00 244	10000.00 246	10000.00 246

CNLPA		10738.67 229	11772.44 230	7637.33 238	9120.00 246	8206.00 248	22252.00 244	2010.00 248	24984.00 248	7458.00 246	22596.00 247	2940.00 247	10260.00 249	11100.00 247	3492.00 244	4446.00 244

MVE	10021.00 22	10550.67 228	10002.44 229	12195.33 242	6242.00 245	8768.00 249	30896.00 246	4451.00 249	10331.00 245	6247.00 245	18296.00 246	283.00 195	21484.00 250	7364.00 237	5912.00 245	6334.00 245
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	23378.08 230	22805.00 231	25097.33 243	15500.00 250	19201.00 253	42712.00 248	6055.00 250	38388.00 249	16926.00 250	38534.00 248	7071.00 248	35653.00 251	29475.00 249	10584.00 249	20438.00 250
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		32606.17 231	34443.44 232	27094.33 244	29249.00 251	25246.00 254	51144.00 249	6705.00 251	42886.00 250	22888.00 251	48534.00 249	13263.00 252	37507.00 252	79298.00 250	16024.00 250	18530.00 249

114514_t		99999.00 232	99999.00 233	99999.00 245	99999.00 252	99999.00 255	99999.00 250	99999.00 255	99999.00 251	99999.00 252	99999.00 250	99999.00 253	99999.00 253	99999.00 251	99999.00 251	99999.00 251

PHI-MVS		99999.00 232	99999.00 233	99999.00 245	99999.00 252	99999.00 255	99999.00 250	99999.00 255	99999.00 251	99999.00 252	99999.00 250	99999.00 253	99999.00 253	99999.00 251	99999.00 251	99999.00 251

XVG-OURS-SEG-HR		999999.00 237	999999.00 235	999999.00 247	999999.00 254	999999.00 257	999999.00 252	999999.00 257	999999.00 253	999999.00 254	999999.00 252	999999.00 255	999999.00 255	999999.00 253	999999.00 253	999999.00 253

XVG-OURS		999999.00 237	999999.00 235	999999.00 247	999999.00 254	999999.00 257	999999.00 252	999999.00 257	999999.00 253	999999.00 254	999999.00 252	999999.00 255	999999.00 255	999999.00 253	999999.00 253	999999.00 253

XVG-ACMP-BASELINE		999999.00 237	999999.00 235	999999.00 247	999999.00 254	999999.00 257	999999.00 252	999999.00 257	999999.00 253	999999.00 254	999999.00 252	999999.00 255	999999.00 255	999999.00 253	999999.00 253	999999.00 253

Anonymous202405211		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

Anonymous20240521		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

our_test_3		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

ppachtmachnet_test		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

SMA-MVS		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

tfpn111		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

conf0.01		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

test_part3							10000000.00 255		10000000.00 256		10000000.00 255		10000000.00 258	10000000.00 256

conf0.002		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

thresconf0.02		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

tfpn_n400		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

tfpnconf		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

tfpnview11		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

tfpn1000		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

tfpn_ndepth		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

conf200view11		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

thres100view900		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

tfpnnormal		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

tfpn200view9		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

view600		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

view800		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

conf0.05thres1000		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

tfpn		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

ESAPD		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

semantic-postprocess				10000000.00 250	10000000.00 257	10000000.00 260		10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

pmmvs6		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

pmmvs5		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

test_post1							10000000.00 255				10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256

test_post											10000000.00 255	10000000.00 258	10000000.00 258

patchmatchnet-post											10000000.00 255	10000000.00 258	10000000.00 258

Anonymous20231211		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

pmmvs-eth3d		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

Anonymous20231206		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

Patchmatch-test1		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

Patchmatch-test		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

Patchmatch-RL test		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

canonicalmvs		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

anonymousdsp		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

FIs		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

FC-MVSNet-test		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

sosnet-low-res		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

AllTest		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

TestCases				10000000.00 250	10000000.00 257	10000000.00 260		10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

testing_2		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

test_normal		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

HPM-MVS++		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

XVS		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

pm-mvs1		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

X-MVStestdata		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

APDe-MVS		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

APD-MVS_3200maxsize		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

pmmvs4		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

test-LLR		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

TESTMET0.1,1		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

test-mter		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

testgi		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

test20.03		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

thres600view7		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

1111		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

.test1245		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

MP-MVS		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

thres400		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

test123		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

thres200		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

test0.0.03 1		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

test12356		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

testus		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

pmmvs3		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

testmv		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

EMVS		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

E-PMN		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

test2356		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

test1235678		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

PGM-MVS		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

MCST-MVS		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

MVS_Test		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

PMMVS2		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

PM-MVS		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

HQP_MVS		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

plane_prior5								10000000.00 260					10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

mPP-MVS		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

DI_MVS_plusplus_test		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

DWT-MVSNet_test		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

Test4		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

HPM-MVS_fast		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

PatchFormer-LS_test		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

testpf		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

HPM-MVS		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

LGP-MVS_train				10000000.00 250	10000000.00 257	10000000.00 260		10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

EPNet_dtu		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP4-MVS										10000000.00 257			10000000.00 258			10000000.00 256

CNVR-MVS		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

NCCC		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

CP-MVS		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

no-one		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

CPTT-MVS		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

HQP-MVS		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

IS-MVSNet		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

PAPM_NR		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

PAPR		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

Vis-MVSNet (Re-imp)		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

PatchMatch-RL		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

TDRefinement		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

EPP-MVSNet		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

PMMVS		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

PAPM		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

ACMMP		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256
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		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

PNet_i23d		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

wuyk23d		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

wuykxyi23d		10000000.00 240	10000000.00 241	10000000.00 250	10000000.00 257	10000000.00 260	10000000.00 255	10000000.00 260	10000000.00 256	10000000.00 257	10000000.00 255	10000000.00 258	10000000.00 258	10000000.00 256	10000000.00 256	10000000.00 256

APD-MVS		1000000000.00 345	1000000000.00 346	1000000000.00 358	1000000000.00 372	1000000000.00 374	1000000000.00 365	1000000000.00 375	1000000000.00 369	1000000000.00 370	1000000000.00 369	1000000000.00 374	1000000000.00 372	1000000000.00 369	1000000000.00 369	1000000000.00 369
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
GSMVS																10000000.00 256

test_part2					10000000.00 257	10000000.00 260				10000000.00 257

test_part1								10000000.00 260				10000000.00 258			10000000.00 256	10000000.00 256

sam_mvs1												10000000.00 258				10000000.00 256

sam_mvs												10000000.00 258

MTGPA								10000000.00 260

MTMP								10000000.00 260

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					10000000.00 257	10000000.00 260

plane_prior6					10000000.00 257	10000000.00 260						10000000.00 258

plane_prior4											10000000.00 255

plane_prior3						10000000.00 260			10000000.00 256	10000000.00 257

plane_prior2							10000000.00 255		10000000.00 256

plane_prior1					10000000.00 257

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						10000000.00 260

HQP-NCC					10000000.00 257		10000000.00 255		10000000.00 256	10000000.00 257

ACMP_Plane					10000000.00 257		10000000.00 255		10000000.00 256	10000000.00 257

BP-MVS														10000000.00 256

HQP3-MVS								10000000.00 260							10000000.00 256

HQP2-MVS												10000000.00 258

NP-MVS					10000000.00 257	10000000.00 260					10000000.00 255

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															10000000.00 256

ACMMP++															10000000.00 256

Test By Simon												990.00 233

High-resolution multi-view benchmark