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.

FMVS2		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

mvsany_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

FMVS1		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

APD_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

FMVS		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

xxxxxxxxxxxxxcwj		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

SF-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

ETH3D cwj APD-0.16		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

ETH3 D test6400		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

9.14			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

ETH3D-3000-0.1		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	0.00 1

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_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_prior2							0.00 1		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

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

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

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

h-mvs33		0.30 22	0.30 23	0.30 27	0.30 34	0.30 34	0.30 34	0.30 35	0.30 34	0.30 33	0.30 31	0.30 33	0.30 34	0.30 32	0.30 32	0.30 32

hse-mvs2		0.30 22	0.30 23	0.30 27	0.30 34	0.30 34	0.30 34	0.30 35	0.30 34	0.30 33	0.30 31	0.30 33	0.30 34	0.30 32	0.30 32	0.30 32

CL-MVSNet_self_test		0.30 22	0.30 23	0.30 27	0.30 34	0.30 34	0.30 34	0.30 35	0.30 34	0.30 33	0.30 31	0.30 33	0.30 34	0.30 32	0.30 32	0.30 32

AUN-MVS		0.30 22	0.30 23	0.30 27	0.30 34	0.30 34	0.30 34	0.30 35	0.30 34	0.30 33	0.30 31	0.30 33	0.30 34	0.30 32	0.30 32	0.30 32

LCM-MVSNet		0.37 26	0.36 27	0.37 31	0.37 38	0.37 38	0.37 38	0.32 39	0.37 38	0.37 37	0.37 35	0.37 37	0.37 38	0.37 36	0.37 36	0.37 36

v144192		0.40 27	0.40 28	0.40 32	0.40 39	0.40 39	0.40 39	0.40 41	0.40 39	0.40 38	0.40 36	0.40 38	0.40 39	0.40 37	0.40 37	0.40 37

v1921920		0.40 27	0.40 28	0.40 32	0.40 39	0.40 39	0.40 39	0.40 41	0.40 39	0.40 38	0.40 36	0.40 38	0.40 39	0.40 37	0.40 37	0.40 37

v1192		0.40 27	0.40 28	0.40 32	0.40 39	0.40 39	0.40 39	0.40 41	0.40 39	0.40 38	0.40 36	0.40 38	0.40 39	0.40 37	0.40 37	0.40 37

v1144		0.40 27	0.40 28	0.40 32	0.40 39	0.40 39	0.40 39	0.40 41	0.40 39	0.40 38	0.40 36	0.40 38	0.40 39	0.40 37	0.40 37	0.40 37

v148		0.40 27	0.40 28	0.40 32	0.40 39	0.40 39	0.40 39	0.40 41	0.40 39	0.40 38	0.40 36	0.40 38	0.40 39	0.40 37	0.40 37	0.40 37

v7n		0.40 27	0.40 28	0.40 32	0.40 39	0.40 39	0.40 39	0.40 41	0.40 39	0.40 38	0.40 36	0.40 38	0.40 39	0.40 37	0.40 37	0.40 37

v1240		0.40 27	0.40 28	0.40 32	0.40 39	0.40 39	0.40 39	0.40 41	0.40 39	0.40 38	0.40 36	0.40 38	0.40 39	0.40 37	0.40 37	0.40 37

v8		0.40 27	0.40 28	0.40 32	0.40 39	0.40 39	0.40 39	0.40 41	0.40 39	0.40 38	0.40 36	0.40 38	0.40 39	0.40 37	0.40 37	0.40 37

v10		0.40 27	0.40 28	0.40 32	0.40 39	0.40 39	0.40 39	0.40 41	0.40 39	0.40 38	0.40 36	0.40 38	0.40 39	0.40 37	0.40 37	0.40 37

v2v482		0.40 27	0.40 28	0.40 32	0.40 39	0.40 39	0.40 39	0.40 41	0.40 39	0.40 38	0.40 36	0.40 38	0.40 39	0.40 37	0.40 37	0.40 37

V42		0.40 27	0.40 28	0.40 32	0.40 39	0.40 39	0.40 39	0.40 41	0.40 39	0.40 38	0.40 36	0.40 38	0.40 39	0.40 37	0.40 37	0.40 37

GA-MVS		0.40 27	0.40 28	0.40 32	0.40 39	0.40 39	0.40 39	0.40 41	0.40 39	0.40 38	0.40 36	0.40 38	0.40 39	0.40 37	0.40 37	0.40 37

Fast-Effi-MVS+		0.41 39	0.40 28	0.41 44	0.41 51	0.41 51	0.41 51	0.35 40	0.41 51	0.41 50	0.41 48	0.41 50	0.41 51	0.41 49	0.41 49	0.41 49

Fast-Effi-MVS+-dtu		0.44 40	0.44 41	0.44 45	0.44 52	0.44 52	0.44 52	0.44 53	0.44 52	0.44 51	0.44 49	0.44 51	0.44 52	0.44 50	0.44 50	0.44 50

Effi-MVS+-dtu		0.59 42	0.61 44	0.53 46	0.68 60	0.53 53	0.53 53	0.68 61	0.68 60	0.53 52	0.53 50	0.68 59	0.53 53	0.68 58	0.53 51	0.53 51

KD-MVS_self_test		0.60 43	0.60 43	0.60 47	0.60 54	0.60 54	0.60 55	0.60 55	0.60 54	0.60 53	0.60 51	0.60 53	0.60 54	0.60 51	0.60 53	0.60 52

EIA-MVS		0.62 44	0.62 45	0.62 48	0.62 55	0.62 55	0.62 56	0.62 56	0.62 55	0.62 54	0.62 52	0.62 54	0.62 55	0.62 52	0.62 54	0.62 53

ETV-MVS		0.62 44	0.62 45	0.62 48	0.62 55	0.62 55	0.62 56	0.62 56	0.62 55	0.62 54	0.62 52	0.62 54	0.62 55	0.62 52	0.62 54	0.62 53

CS-MVS		0.62 44	0.62 45	0.62 48	0.62 55	0.62 55	0.62 56	0.62 56	0.62 55	0.62 54	0.62 52	0.62 54	0.62 55	0.62 52	0.62 54	0.62 53

CS-MVS-test		0.62 44	0.62 45	0.62 48	0.62 55	0.62 55	0.62 56	0.62 56	0.62 55	0.62 54	0.62 52	0.62 54	0.62 55	0.62 52	0.62 54	0.62 53

Effi-MVS+		0.58 41	0.56 42	0.62 48	0.53 53	0.62 55	0.53 53	0.53 54	0.53 53	0.62 54	0.62 52	0.53 52	0.62 55	0.62 52	0.53 51	0.62 53

DROMVSNet		0.62 44	0.62 45	0.62 48	0.62 55	0.62 55	0.62 56	0.62 56	0.62 55	0.62 54	0.62 52	0.62 54	0.62 55	0.62 52	0.62 54	0.62 53

mvs-test1		0.68 49	0.68 50	0.68 54	0.68 60	0.68 61	0.68 61	0.68 61	0.68 60	0.68 60	0.68 58	0.68 59	0.68 61	0.68 58	0.68 59	0.68 59

CDS-MVSNet		0.88 50	0.88 51	0.88 55	0.88 62	0.88 62	0.88 62	0.88 63	0.88 62	0.88 61	0.88 59	0.88 61	0.88 62	0.88 60	0.88 60	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 51	0.88 55	0.88 62	0.88 62	0.88 62	0.88 63	0.88 62	0.88 61	0.88 59	0.88 61	0.88 62	0.88 60	0.88 60	0.88 60

LCM-MVSNet-Re		0.89 52	0.89 53	0.89 57	0.89 64	0.89 64	0.89 64	0.89 65	0.89 64	0.89 63	0.89 61	0.89 63	0.89 64	0.89 62	0.89 62	0.89 62

DeepMVS_CX				1.00 58	1.00 65	1.00 65		1.00 66	1.00 65	1.00 64	1.00 62	1.00 64	1.00 65	1.00 63	1.00 63	1.00 63

MDA-MVSNet-bldmvs		1.20 53	1.20 54	1.20 59	1.20 66	1.20 67	1.20 65	1.20 68	1.20 66	1.20 65	1.20 63	1.20 65	1.20 66	1.20 64	1.20 64	1.20 64

YYNet1		1.20 53	1.20 54	1.20 59	1.20 66	1.20 67	1.20 65	1.20 68	1.20 66	1.20 65	1.20 63	1.20 65	1.20 66	1.20 64	1.20 64	1.20 64

MDA-MVSNet_test_wron		1.20 53	1.20 54	1.20 59	1.20 66	1.20 67	1.20 65	1.20 68	1.20 66	1.20 65	1.20 63	1.20 65	1.20 66	1.20 64	1.20 64	1.20 64

KD-MVS_2432*1600		1.30 56	1.30 57	1.30 62	1.30 69	1.30 70	1.30 68	1.30 71	1.30 69	1.30 68	1.30 66	1.30 68	1.30 69	1.30 67	1.30 67	1.30 67

miper_refine_blended		1.30 56	1.30 57	1.30 62	1.30 69	1.30 70	1.30 68	1.30 71	1.30 69	1.30 68	1.30 66	1.30 68	1.30 69	1.30 67	1.30 67	1.30 67

EI-MVSNet-UG-set		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

EI-MVSNet-Vis-set		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

Regformer-3		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

Regformer-4		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

Regformer-1		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

Regformer-2		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

EI-MVSNet		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

Regformer		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

CVMVSNet		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

EU-MVSNet		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

PS-CasMVS		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

UniMVSNet_NR-MVSNet		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

PEN-MVS		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

TransMVSNet (Re)		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

DTE-MVSNet		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

DU-MVS		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

UniMVSNet (Re)		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

CP-MVSNet		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

WR-MVS_H		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

WR-MVS		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

NR-MVSNet		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

Baseline_NR-MVSNet		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

TranMVSNet+NR-MVSNet		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

MVSFormer		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

jason		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69
jason: jason.
lupinMVS		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

test_djsdf		1.42 58	1.42 59	1.42 64	1.42 71	1.42 72	1.42 70	1.42 73	1.42 71	1.42 70	1.42 68	1.42 70	1.42 71	1.42 69	1.42 69	1.42 69

alignmvs		2.00 85	2.00 86	2.00 91	2.00 99	2.00 99	2.00 97	2.00 102	2.00 98	2.00 97	2.00 95	2.00 97	2.00 98	2.00 96	2.00 96	2.00 96

nrg030		2.00 85	2.00 86	2.00 91	2.00 99	2.00 99	2.00 97	2.00 102	2.00 98	2.00 97	2.00 95	2.00 97	2.00 98	2.00 96	2.00 96	2.00 96

LFMVS		2.00 85	2.00 86	2.00 91	2.00 99	2.00 99	2.00 97	2.00 102	2.00 98	2.00 97	2.00 95	2.00 97	2.00 98	2.00 96	2.00 96	2.00 96

VDD-MVS		2.00 85	2.00 86	2.00 91	2.00 99	2.00 99	2.00 97	2.00 102	2.00 98	2.00 97	2.00 95	2.00 97	2.00 98	2.00 96	2.00 96	2.00 96

VDDNet		2.00 85	2.00 86	2.00 91	2.00 99	2.00 99	2.00 97	2.00 102	2.00 98	2.00 97	2.00 95	2.00 97	2.00 98	2.00 96	2.00 96	2.00 96

VPNet		2.00 85	2.00 86	2.00 91	2.00 99	2.00 99	2.00 97	2.00 102	2.00 98	2.00 97	2.00 95	2.00 97	2.00 98	2.00 96	2.00 96	2.00 96

VNet		2.00 85	2.00 86	2.00 91	2.00 99	2.00 99	2.00 97	2.00 102	2.00 98	2.00 97	2.00 95	2.00 97	2.00 98	2.00 96	2.00 96	2.00 96

VPA-MVSNet		2.00 85	2.00 86	2.00 91	2.00 99	2.00 99	2.00 97	2.00 102	2.00 98	2.00 97	2.00 95	2.00 97	2.00 98	2.00 96	2.00 96	2.00 96

cascas		2.00 85	2.00 86	2.00 91	2.00 99	2.00 99	2.00 97	2.00 102	2.00 98	2.00 97	2.00 95	2.00 97	2.00 98	2.00 96	2.00 96	2.00 96

UnsupCasMVSNet_eth		5.90 94	5.90 95	5.90 100	5.90 108	5.90 108	5.90 107	5.90 114	5.90 108	5.90 106	5.90 104	5.90 108	5.90 107	5.90 105	5.90 108	5.90 108

UnsupCasMVSNet_bld		5.90 94	5.90 95	5.90 100	5.90 108	5.90 108	5.90 107	5.90 114	5.90 108	5.90 106	5.90 104	5.90 108	5.90 107	5.90 105	5.90 108	5.90 108

WTY-MVS		5.90 94	5.90 95	5.90 100	5.90 108	5.90 108	5.90 107	5.90 114	5.90 108	5.90 106	5.90 104	5.90 108	5.90 107	5.90 105	5.90 108	5.90 108

HY-MVS	5.90 1	5.90 94	5.90 95	5.90 100	5.90 108	5.90 108	5.90 107	5.90 114	5.90 108	5.90 106	5.90 104	5.90 108	5.90 107	5.90 105	5.90 108	5.90 108

sss		5.90 94	5.90 95	5.90 100	5.90 108	5.90 108	5.90 107	5.90 114	5.90 108	5.90 106	5.90 104	5.90 108	5.90 107	5.90 105	5.90 108	5.90 108

Test_1112_low_res		5.90 94	5.90 95	5.90 100	5.90 108	5.90 108	5.90 107	5.90 114	5.90 108	5.90 106	5.90 104	5.90 108	5.90 107	5.90 105	5.90 108	5.90 108

1112_ss		5.90 94	5.90 95	5.90 100	5.90 108	5.90 108	5.90 107	5.90 114	5.90 108	5.90 106	5.90 104	5.90 108	5.90 107	5.90 105	5.90 108	5.90 108

ab-mvs-re		5.90 94	5.90 95	5.90 100	5.90 108	5.90 108	5.90 107	5.90 114	5.90 108	5.90 106	5.90 104	5.90 108	5.90 107	5.90 105	5.90 108	5.90 108

ab-mvs		5.90 94	5.90 95	5.90 100	5.90 108	5.90 108	5.90 107	5.90 114	5.90 108	5.90 106	5.90 104	5.90 108	5.90 107	5.90 105	5.90 108	5.90 108

CDPH-MVS		6.66 103	6.66 104	6.66 109	6.66 117	6.66 117	6.66 116	6.66 123	6.66 117	6.66 115	6.66 113	6.66 117	6.66 116	6.66 114	6.66 117	6.66 117

dp		87.20 123	113.80 127	7.42 110	10.50 129	8.88 118	298.82 146	2.70 111	510.35 164	7.79 116	172.93 137	3.37 106	9.16 117	14.00 128	3.71 106	4.23 106

MDTV_nov1_ep13_2view						9.99 119	9.99 117		9.99 118	9.99 117		9.99 119		9.99 115		9.99 118

MDTV_nov1_ep13			9.99 105		9.99 118	9.99 119	9.99 117	9.99 125	9.99 118	9.99 117	9.99 114	9.99 119	9.99 118	9.99 115	9.99 119

xiu_mvs_v1_base_debu		10.28 104	10.28 106	10.28 111	10.28 119	10.28 121	10.28 119	10.28 126	10.28 120	10.28 119	10.28 115	10.28 121	10.28 119	10.28 117	10.28 120	10.28 119

xiu_mvs_v2_base		10.28 104	10.28 106	10.28 111	10.28 119	10.28 121	10.28 119	10.28 126	10.28 120	10.28 119	10.28 115	10.28 121	10.28 119	10.28 117	10.28 120	10.28 119

xiu_mvs_v1_base		10.28 104	10.28 106	10.28 111	10.28 119	10.28 121	10.28 119	10.28 126	10.28 120	10.28 119	10.28 115	10.28 121	10.28 119	10.28 117	10.28 120	10.28 119

xiu_mvs_v1_base_debi		10.28 104	10.28 106	10.28 111	10.28 119	10.28 121	10.28 119	10.28 126	10.28 120	10.28 119	10.28 115	10.28 121	10.28 119	10.28 117	10.28 120	10.28 119

cdsmvs_eth3d_5k		10.28 104	10.28 106	10.28 111	10.28 119	10.28 121	10.28 119	10.28 126	10.28 120	10.28 119	10.28 115	10.28 121	10.28 119	10.28 117	10.28 120	10.28 119

pcd_1.5k_mvsjas		10.28 104	10.28 106	10.28 111	10.28 119	10.28 121	10.28 119	10.28 126	10.28 120	10.28 119	10.28 115	10.28 121	10.28 119	10.28 117	10.28 120	10.28 119

PS-MVSNAJss		10.28 104	10.28 106	10.28 111	10.28 119	10.28 121	10.28 119	10.28 126	10.28 120	10.28 119	10.28 115	10.28 121	10.28 119	10.28 117	10.28 120	10.28 119

PS-MVSNAJ		10.28 104	10.28 106	10.28 111	10.28 119	10.28 121	10.28 119	10.28 126	10.28 120	10.28 119	10.28 115	10.28 121	10.28 119	10.28 117	10.28 120	10.28 119

jajsoiax		10.28 104	10.28 106	10.28 111	10.28 119	10.28 121	10.28 119	10.28 126	10.28 120	10.28 119	10.28 115	10.28 121	10.28 119	10.28 117	10.28 120	10.28 119

mvs_tets		10.28 104	10.28 106	10.28 111	10.28 119	10.28 121	10.28 119	10.28 126	10.28 120	10.28 119	10.28 115	10.28 121	10.28 119	10.28 117	10.28 120	10.28 119

test_method		18.29 116	20.89 118	10.50 121	15.00 131	13.00 133	55.00 137	3.00 112	34.00 133	11.50 129	32.50 127	5.00 107	13.50 130	27.00 131	5.00 107	5.00 107

SR-MVS-dyc-post		11.55 114	11.55 116	11.55 123	11.55 130	11.55 132	11.55 129	11.55 138	11.55 130	11.55 130	11.55 125	11.55 132	11.55 129	11.55 127	11.55 130	11.55 129

GeoE		19.41 117	22.09 119	11.37 122	17.21 133	11.30 131	50.50 136	4.30 113	33.60 132	11.70 131	44.50 132	7.30 118	18.90 132	22.60 130	7.10 118	3.90 105

XXY-MVS		15.00 115	15.00 117	15.00 124	15.00 131	15.00 134	15.00 130	15.00 140	15.00 131	15.00 132	15.00 126	15.00 137	15.00 131	15.00 129	15.00 132	15.00 131

GBi-Net		44.67 122	49.24 124	30.96 125	47.53 138	47.57 139	126.09 138	8.00 124	76.99 138	26.09 133	73.50 134	11.27 131	30.55 133	61.12 136	12.58 131	14.75 130

BH-w/o		40.00 118	40.00 120	40.00 126	40.00 134	40.00 135	40.00 132	40.00 158	40.00 134	40.00 134	40.00 128	40.00 155	40.00 134	40.00 132	40.00 148	40.00 143

BH-untuned		40.00 118	40.00 120	40.00 126	40.00 134	40.00 135	40.00 132	40.00 158	40.00 134	40.00 134	40.00 128	40.00 155	40.00 134	40.00 132	40.00 148	40.00 143

BH-RMVSNet		40.00 118	40.00 120	40.00 126	40.00 134	40.00 135	40.00 132	40.00 158	40.00 134	40.00 134	40.00 128	40.00 155	40.00 134	40.00 132	40.00 148	40.00 143

TR-MVS		40.00 118	40.00 120	40.00 126	40.00 134	40.00 135	40.00 132	40.00 158	40.00 134	40.00 134	40.00 128	40.00 155	40.00 134	40.00 132	40.00 148	40.00 143

new_pmnet		88.14 124	98.62 125	56.70 130	98.14 147	56.07 140	246.79 140	15.37 141	148.06 139	50.77 138	143.13 135	23.35 138	62.65 138	93.26 137	68.71 156	51.38 154

N_pmnet		88.14 124	98.62 125	56.70 130	98.14 147	56.07 140	246.79 140	15.37 141	148.06 139	50.77 138	143.13 135	23.35 138	62.65 138	93.26 137	68.71 156	51.38 154

zzz-MVS		833442.10 255	1111233.77 261	67.09 132	65.59 139	64.81 142	284.50 142	10000000.00 293	219.97 146	59.62 140	229.89 149	12.72 133	103.00 155	203.67 155	27.93 133	33.46 132

MTAPA		833442.10 255	1111233.77 261	67.09 132	65.59 139	64.81 142	284.50 142	10000000.00 293	219.97 146	59.62 140	229.89 149	12.72 133	103.00 155	203.67 155	27.93 133	33.46 132

MP-MVS-pluss		833433.63 254	1111219.60 260	75.70 138	74.28 141	73.29 144	284.50 142	11.35 136	238.58 148	65.86 142	255.35 155	14.55 135	115.69 158	10000000.00 287	31.94 135	38.12 141
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMP_NAP		118.81 130	133.18 132	75.70 138	74.28 141	73.29 144	284.50 142	11.35 136	238.58 148	65.86 142	255.35 155	14.55 135	115.69 158	222.18 157	31.94 135	38.12 141

CANet		110.62 126	124.04 128	70.34 134	82.03 143	74.27 146	325.54 147	25.25 143	207.16 142	69.28 144	194.38 138	27.53 140	95.79 148	147.76 141	37.43 137	40.97 147

CANet_DTU		110.62 126	124.04 128	70.34 134	82.03 143	74.27 146	325.54 147	25.25 143	207.16 142	69.28 144	194.38 138	27.53 140	95.79 148	147.76 141	37.43 137	40.97 147

MVS_0304		110.62 126	124.04 128	70.34 134	82.03 143	74.27 146	325.54 147	25.25 143	207.16 142	69.28 144	194.38 138	27.53 140	95.79 148	147.76 141	37.43 137	40.97 147

UGNet		110.62 126	124.04 128	70.34 134	82.03 143	74.27 146	325.54 147	25.25 143	207.16 142	69.28 144	194.38 138	27.53 140	95.79 148	147.76 141	37.43 137	40.97 147
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
FMVSNet5		124.76 131	140.93 133	76.26 140	107.44 150	100.17 154	329.88 151	27.12 150	259.44 153	74.30 148	204.34 142	30.74 144	92.41 141	196.98 145	38.15 141	36.19 134

test1		124.76 131	140.93 133	76.26 140	107.44 150	100.17 154	329.88 151	27.12 150	259.44 153	74.30 148	204.34 142	30.74 144	92.41 141	196.98 145	38.15 141	36.19 134

FMVSNet3		124.76 131	140.93 133	76.26 140	107.44 150	100.17 154	329.88 151	27.12 150	259.44 153	74.30 148	204.34 142	30.74 144	92.41 141	196.98 145	38.15 141	36.19 134

FMVSNet2		124.76 131	140.93 133	76.26 140	107.44 150	100.17 154	329.88 151	27.12 150	259.44 153	74.30 148	204.34 142	30.74 144	92.41 141	196.98 145	38.15 141	36.19 134

FMVSNet1		124.76 131	140.93 133	76.26 140	107.44 150	100.17 154	329.88 151	27.12 150	259.44 153	74.30 148	204.34 142	30.74 144	92.41 141	196.98 145	38.15 141	36.19 134

MIMVSNet1		124.76 131	140.93 133	76.26 140	107.44 150	100.17 154	329.88 151	27.12 150	259.44 153	74.30 148	204.34 142	30.74 144	92.41 141	196.98 145	38.15 141	36.19 134

MIMVSNet		124.76 131	140.93 133	76.26 140	107.44 150	100.17 154	329.88 151	27.12 150	259.44 153	74.30 148	204.34 142	30.74 144	92.41 141	196.98 145	38.15 141	36.19 134

PVSNet_Blended_VisFu		136.90 139	155.40 141	81.40 147	111.00 157	96.20 151	407.00 158	25.90 147	251.60 150	85.10 155	240.50 151	37.00 151	99.90 152	199.80 152	40.70 152	48.10 151

PVSNet_BlendedMVS		136.90 139	155.40 141	81.40 147	111.00 157	96.20 151	407.00 158	25.90 147	251.60 150	85.10 155	240.50 151	37.00 151	99.90 152	199.80 152	40.70 152	48.10 151

PVSNet_Blended		136.90 139	155.40 141	81.40 147	111.00 157	96.20 151	407.00 158	25.90 147	251.60 150	85.10 155	240.50 151	37.00 151	99.90 152	199.80 152	40.70 152	48.10 151

DSMNet-mixed		131.33 138	143.00 140	96.33 151	99.00 149	81.00 150	201.00 139	45.00 163	335.00 160	99.00 158	251.00 154	38.00 154	110.00 157	120.00 140	99.00 160	98.00 159

FE-MVS		207.10 142	234.26 144	125.61 152	180.34 160	153.23 162	635.64 165	30.05 157	378.38 161	127.68 159	377.08 157	48.95 159	154.43 160	266.67 158	63.56 155	69.18 156

FA-MVS(test-final)		261.15 144	293.29 146	164.72 153	236.23 163	199.99 165	800.05 170	42.35 162	475.87 163	155.47 160	470.67 159	58.49 160	205.24 162	319.44 159	81.03 158	88.93 157

test1172		216.26 143	257.16 145	93.57 150	310.10 166	111.10 161	31.10 131	45.10 164	192.73 141	176.39 161	512.31 160	66.33 163	78.35 140	891.20 184	89.18 159	91.27 158

DP-MVS		264.78 145	296.02 147	171.04 154	191.70 161	183.96 163	827.10 171	78.36 165	438.24 162	176.64 162	435.12 158	65.04 162	230.52 164	334.02 160	117.96 161	98.64 160

EG-PatchMatch MVS		437.03 148	493.12 152	268.77 157	264.80 164	260.20 167	1491.80 186	98.00 174	723.20 172	238.80 163	722.40 169	63.10 161	382.00 168	629.00 171	207.00 177	164.10 165

RPSCF		394.81 147	445.63 149	242.35 155	276.55 165	253.63 166	1207.27 181	90.69 170	715.56 171	241.57 164	684.87 168	111.96 173	320.02 165	548.38 167	133.81 162	153.39 162

ADS-MVSNet2		443.33 149	482.84 150	324.79 164	434.94 177	387.73 174	1110.57 179	87.69 168	887.02 177	282.92 165	779.29 170	98.57 170	422.76 173	502.40 161	162.19 168	163.87 163

ADS-MVSNet		443.33 149	482.84 150	324.79 164	434.94 177	387.73 174	1110.57 179	87.69 168	887.02 177	282.92 165	779.29 170	98.57 170	422.76 173	502.40 161	162.19 168	163.87 163

DP-MVS Recon		516.25 156	581.17 157	321.48 163	361.02 168	429.00 178	1995.36 192	78.48 166	796.20 174	283.32 167	796.02 172	96.78 167	382.98 169	636.72 173	186.66 174	152.46 161

MVP-Stereo		473.58 151	533.67 153	293.33 158	376.00 170	318.00 168	1461.00 184	96.00 171	835.00 175	290.00 168	804.00 173	97.00 168	383.00 170	688.00 178	156.00 163	179.00 167
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch		473.58 151	533.67 153	293.33 158	376.00 170	318.00 168	1461.00 184	96.00 171	835.00 175	290.00 168	804.00 173	97.00 168	383.00 170	688.00 178	156.00 163	179.00 167

PatchmatchNet		492.52 153	551.22 155	316.40 162	400.20 173	357.90 172	1277.10 182	115.80 179	1034.60 187	315.90 170	874.00 176	155.10 178	402.20 172	629.50 172	158.80 165	189.10 169
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
DELS-MVS		514.57 155	587.73 158	295.12 160	343.03 167	328.09 170	1540.48 188	116.22 180	988.59 179	325.44 171	906.22 177	119.86 175	365.72 166	788.60 180	161.09 167	191.55 170
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
ACMH+	729.97 2	661.38 162	754.00 165	383.51 167	368.96 169	376.38 173	2483.74 204	82.42 167	1089.25 188	333.39 172	1219.68 192	66.53 164	573.60 189	957.86 187	184.14 173	200.56 171

tpmvs		501.65 154	567.42 156	304.33 161	395.39 172	356.32 171	1512.04 187	216.53 205	994.15 180	350.16 173	804.16 175	119.38 174	380.98 167	555.14 168	159.87 166	175.69 166

IterMVS		615.05 160	691.66 163	385.23 168	516.40 180	454.80 179	1863.80 190	102.10 176	1142.20 189	364.10 174	1093.20 191	135.00 176	480.40 176	826.90 181	181.20 171	220.50 172
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS	872.44 4	616.41 161	700.96 164	362.78 166	426.10 176	409.25 176	1822.69 189	124.42 188	1186.23 190	366.85 175	1079.42 189	190.60 191	451.78 175	930.72 186	181.59 172	227.30 173
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
new-patchmatchnet		766.12 165	859.03 170	487.38 180	595.68 182	536.14 184	2346.27 195	142.51 193	1488.08 197	422.43 176	1361.32 196	163.65 181	628.60 194	1003.74 196	207.61 178	297.41 186

SixPastTwentyTwo		773.62 166	869.37 172	486.35 179	603.45 184	547.15 192	2532.14 205	106.92 178	1434.95 196	428.08 177	1360.56 195	165.15 182	628.96 195	984.09 188	209.01 179	282.94 183

lessismore_v0				569.20 185	667.25 202	644.68 201		96.45 173		428.86 178	1514.17 204	204.21 198	756.58 198	1061.60 198	197.79 176	306.34 187

IterMVS-LS		758.94 164	856.56 169	466.10 177	606.60 185	546.80 191	2309.90 194	122.20 187	1402.80 195	463.50 179	1348.20 194	192.60 192	574.60 190	1028.60 197	234.60 188	276.90 182
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
mvs_anonymous		774.90 167	882.28 173	452.77 170	636.50 194	537.20 185	2348.80 196	120.30 181	1504.30 198	474.40 180	1371.10 197	186.90 184	564.70 183	1078.90 199	219.30 180	256.40 174

casdiffmvs		774.90 167	882.28 173	452.77 170	636.50 194	537.20 185	2348.80 196	120.30 181	1504.30 198	474.40 180	1371.10 197	186.90 184	564.70 183	1078.90 199	219.30 180	256.40 174

diffmvs		774.90 167	882.28 173	452.77 170	636.50 194	537.20 185	2348.80 196	120.30 181	1504.30 198	474.40 180	1371.10 197	186.90 184	564.70 183	1078.90 199	219.30 180	256.40 174

baseline2		774.90 167	882.28 173	452.77 170	636.50 194	537.20 185	2348.80 196	120.30 181	1504.30 198	474.40 180	1371.10 197	186.90 184	564.70 183	1078.90 199	219.30 180	256.40 174

baseline1		774.90 167	882.28 173	452.77 170	636.50 194	537.20 185	2348.80 196	120.30 181	1504.30 198	474.40 180	1371.10 197	186.90 184	564.70 183	1078.90 199	219.30 180	256.40 174

baseline		774.90 167	882.28 173	452.77 170	636.50 194	537.20 185	2348.80 196	120.30 181	1504.30 198	474.40 180	1371.10 197	186.90 184	564.70 183	1078.90 199	219.30 180	256.40 174

ACMH	993.80 5	967.92 181	1106.11 191	553.33 183	494.00 179	534.00 183	3581.00 210	136.00 190	1585.00 206	478.00 186	1871.00 209	90.00 165	839.00 201	1460.00 209	260.00 189	287.00 184
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet	1207.94 6	829.56 176	937.18 179	506.69 181	645.55 200	585.72 194	2477.98 203	130.52 189	1578.29 205	509.50 187	1460.01 203	194.90 193	637.19 196	1170.78 206	267.07 192	297.17 185

Gipuma		689.75 163	767.00 166	458.00 176	613.00 192	549.00 193	1943.00 191	187.00 202	1230.00 191	518.00 188	1092.00 190	203.00 197	564.00 182	892.00 185	225.00 186	261.00 180
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVS	863.65 3	957.08 180	1054.11 189	666.00 195	401.00 174	495.00 181	3790.00 212	279.00 207	1607.00 207	521.00 189	1745.00 207	90.00 165	1105.00 218	639.00 174	415.00 203	398.00 200
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
K. test v3		877.74 178	980.16 181	570.46 186	1316.85 225	813.15 210	2565.52 206	103.78 177	1509.49 204	548.33 190	1258.90 193	219.93 202	587.82 191	1102.37 205	196.30 175	310.42 188

GG-mvs-BLEND				596.01 187	611.29 189	600.33 195	790.30 167	513.12 241		552.71 191	567.40 161	662.54 246	531.67 177	503.93 163	779.80 224	656.02 208

gg-mvs-nofinetune		594.69 157	605.37 159	562.67 184	617.29 193	500.33 182	772.30 166	413.12 226	579.21 165	552.71 191	567.40 161	662.54 246	531.67 177	503.93 163	779.80 224	656.02 208

CR-MVSNet		612.36 159	617.81 162	596.01 187	611.29 189	600.33 195	790.30 167	513.12 241	579.21 165	552.71 191	567.40 161	662.54 246	531.67 177	503.93 163	779.80 224	656.02 208

MVSTER		890.06 179	1005.91 188	542.52 182	736.13 205	653.90 202	2616.56 207	145.22 195	1692.10 208	555.69 194	1554.72 205	266.25 203	660.02 197	1219.66 207	266.84 191	313.64 189

ACMP	1246.57 7	1086.24 189	1235.17 193	639.45 190	596.53 183	639.91 200	3904.24 213	152.04 196	1851.54 210	566.58 195	1997.95 211	138.50 177	938.30 205	1605.46 211	303.70 198	340.14 191
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
PVSNet_0	1661.03 9	968.54 182	1066.82 190	673.70 196	706.94 203	695.69 203	2669.02 208	153.52 197	2108.17 214	605.54 196	1679.14 206	213.26 201	886.75 204	1236.76 208	229.01 187	438.67 201

tmp_tt		371.08 146	412.78 148	246.00 156	231.00 162	197.00 164	1293.00 183	376.00 218	756.00 173	609.00 197	71.00 133	106.00 172	195.00 161	102.00 139	171.00 170	346.00 193

RE-MVS-def			610.10 160		610.10 187	610.10 198	610.10 163	610.10 250	610.10 169	610.10 198	610.10 166	610.10 234		610.10 169	610.10 207	610.10 205

SR-MVS		610.10 158	610.10 160	610.10 189	610.10 187	610.10 198	610.10 163	610.10 250	610.10 169	610.10 198	610.10 166	610.10 234	610.10 192	610.10 169	610.10 207	610.10 205

MSLP-MVS++		1242.93 194	1411.08 197	738.48 200	712.71 204	712.68 204	4168.17 215	136.50 191	2276.40 216	613.28 200	2368.60 216	161.61 180	1130.38 219	1964.54 218	297.88 195	372.39 196

MVS_111021_LR		1136.45 192	1298.72 195	649.64 191	756.17 206	726.26 206	3785.94 211	138.15 192	2190.64 215	629.63 201	2064.39 212	165.45 183	874.83 203	1678.43 214	279.70 193	347.82 194

ACMMPR		1296.60 196	1480.82 199	743.96 201	899.25 210	763.47 208	4305.47 216	143.90 194	2530.94 219	683.99 202	2346.34 215	201.65 196	1098.25 217	1920.59 217	295.21 194	370.16 195

test_0402		1110.00 191	1260.00 194	660.00 192	900.00 211	780.00 209	3300.00 209	210.00 204	2040.00 213	690.00 203	1950.00 210	300.00 207	810.00 200	1620.00 212	330.00 199	390.00 199

DeepC-MVS_fast	2190.19 12	1535.59 199	1886.82 203	481.89 178	847.73 207	830.16 211	7943.84 237	189.23 203	2398.83 217	691.73 204	2341.13 214	209.16 199	230.25 163	1999.25 219	360.46 200	385.25 198
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ACMM	1311.08 8	1165.06 193	1332.72 196	662.07 194	584.90 181	715.99 205	4373.59 217	153.99 198	1880.27 211	709.02 205	2316.97 213	188.63 190	939.89 206	1484.30 210	302.78 197	330.34 190
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
TSAR-MVS + GP.		1386.84 197	1622.84 201	678.81 197	952.13 212	840.17 212	5358.21 221	170.75 200	2650.47 220	713.54 206	2394.28 217	209.42 200	855.56 202	1854.36 216	302.42 196	340.71 192

MG-MVS		1256.50 195	1432.00 198	730.00 199	610.00 186	760.00 207	4720.00 218	169.00 199	1920.00 212	723.00 207	2510.00 219	201.00 195	1050.00 216	1645.00 213	390.00 202	380.00 197

CSCG		826.03 175	963.29 180	414.24 169	421.52 175	426.11 177	2230.35 193	179.52 201	1827.44 209	733.43 208	933.12 179	281.25 204	545.23 181	1800.35 215	262.64 190	271.38 181

FPMVS		1407.00 198	1495.59 200	1141.23 212	648.01 201	893.85 214	4124.00 214	503.81 240	3219.04 222	742.72 209	2498.84 218	157.98 179	1727.83 225	832.93 182	732.98 223	802.00 217

Patchmtry		1090.75 190	1198.88 192	766.38 202	1290.90 223	485.90 180	2423.98 202	1267.30 273	1297.17 192	923.90 210	923.40 178	1215.54 267	990.23 207	667.90 175	779.80 224	823.02 222

PatchT		856.34 177	860.99 171	842.38 203	1290.90 223	880.90 213	790.30 167	1267.30 273	579.21 165	923.90 210	567.40 161	662.54 246	990.23 207	887.56 183	779.80 224	656.02 208

COLMAP_ROB	2144.59 11	1658.33 200	1869.33 202	1025.33 211	1030.00 220	1023.00 224	5311.00 220	359.00 216	3044.00 221	937.00 212	2892.00 220	332.00 211	1440.00 222	2312.00 221	607.00 206	613.00 207
Johannes L. SchÃ¶nberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
ambc				999.00 204	999.00 213	999.00 217	999.00 172	999.00 266		999.00 213	999.00 180	999.00 259	999.00 209	999.00 189	999.00 243	999.00 240

OurMVSNet-221017-0		999.00 183	999.00 182	999.00 204	999.00 213	999.00 217	999.00 172	999.00 266	999.00 181	999.00 213	999.00 180	999.00 259	999.00 209	999.00 189	999.00 243	999.00 240

EPMVS		999.00 183	999.00 182	999.00 204	999.00 213	999.00 217	999.00 172	999.00 266	999.00 181	999.00 213	999.00 180	999.00 259	999.00 209	999.00 189	999.00 243	999.00 240

uanet_test		1000.00 185	1000.00 184	1000.00 207	1000.00 216	1000.00 220	1000.00 175	1000.00 269	1000.00 183	1000.00 216	1000.00 183	1000.00 262	1000.00 212	1000.00 192	1000.00 246	1000.00 243

sosnet		1000.00 185	1000.00 184	1000.00 207	1000.00 216	1000.00 220	1000.00 175	1000.00 269	1000.00 183	1000.00 216	1000.00 183	1000.00 262	1000.00 212	1000.00 192	1000.00 246	1000.00 243

USDC		1000.00 185	1000.00 184	1000.00 207	1000.00 216	1000.00 220	1000.00 175	1000.00 269	1000.00 183	1000.00 216	1000.00 183	1000.00 262	1000.00 212	1000.00 192	1000.00 246	1000.00 243

TinyColmap		1000.00 185	1000.00 184	1000.00 207	1000.00 216	1000.00 220	1000.00 175	1000.00 269	1000.00 183	1000.00 216	1000.00 183	1000.00 262	1000.00 212	1000.00 192	1000.00 246	1000.00 243

JIA-IIPM		804.30 174	835.64 168	710.26 198	885.90 208	895.90 215	455.98 161	668.73 255	1297.17 192	1002.26 220	1001.67 187	655.98 244	756.98 199	667.90 175	885.21 236	477.90 202

RPMNet		787.26 173	829.13 167	661.63 193	885.90 208	895.90 215	455.98 161	610.10 250	1297.17 192	1002.26 220	1001.67 187	655.98 244	611.10 193	667.90 175	885.21 236	477.90 202

F-COLMAP		1878.17 201	2113.11 204	1173.33 215	1231.00 221	1174.00 225	6297.00 223	392.00 221	3356.00 224	1087.00 222	3082.00 221	361.00 215	1670.00 224	2523.00 223	689.00 213	676.00 212

PCF-MVS	4335.85 20	2272.23 207	2597.03 210	1297.84 216	1701.20 230	1332.37 226	8105.11 238	451.45 229	4031.84 229	1099.10 223	3966.50 228	467.45 223	1734.05 226	2701.68 226	848.94 233	827.11 223
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CMPMVS	2623.62 15	1983.08 203	2156.14 205	1463.89 225	1414.80 227	1517.00 230	5239.20 219	867.40 260	3310.30 223	1128.70 224	3489.90 223	366.75 216	2030.20 236	2427.60 222	1160.60 255	844.46 225
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
OpenMVS	2352.88 13	2263.08 206	2530.89 209	1459.67 224	1767.00 238	1591.00 233	7932.00 236	399.00 222	3643.00 225	1176.00 225	3569.00 225	297.00 206	1927.00 232	3302.00 229	693.00 218	861.00 226

MVS-HIRNet		2125.39 204	2452.68 207	1143.53 213	2938.33 268	1446.92 229	6083.19 222	391.74 220	3801.71 227	1202.10 226	3439.72 222	492.73 225	1304.35 221	3048.25 228	676.32 212	679.32 213

ZD-MVS					1584.00 228	1821.00 250		378.00 219	3721.00 226	1231.00 227	1833.00 208	321.00 210	1224.00 220	2103.00 220	692.00 217

DeepPCF-MVS	3452.42 18	2670.71 215	3021.57 217	1618.12 227	2377.67 254	1751.39 246	8915.70 243	567.44 248	4569.74 236	1236.84 228	4615.63 234	513.23 226	2291.32 238	3515.48 233	882.39 235	811.66 219

PLC	2858.82 16	2192.92 205	2474.00 208	1349.67 217	1407.00 226	1356.00 227	7164.00 228	475.00 233	3970.00 228	1237.00 229	3765.00 227	451.00 222	1891.00 230	3006.00 227	791.00 229	802.00 217
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
Vis-MVSNet		2877.42 218	3170.00 221	1999.67 240	1673.00 229	2042.00 256	8593.00 241	474.00 232	6452.00 253	1268.00 230	5125.00 241	339.00 212	3004.00 254	4222.00 243	384.00 201	953.00 236
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
DeepC-MVS	3917.13 19	3155.06 221	3601.83 224	1814.72 235	2515.52 257	1941.53 251	10432.50 258	589.42 249	4789.45 237	1298.65 231	7677.31 259	578.35 233	2589.53 244	3611.78 235	923.52 238	913.10 231
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
test_0728_THIRD									5016.02 240	1363.85 232	4894.28 238	387.23 217	2023.43 233	3973.88 237	620.04 209	732.56 214

test0726					1725.60 231	1598.35 234	9203.30 244	315.86 210	5016.02 240	1363.85 232	4894.28 238	387.23 217

SD-MVS		2654.53 214	3055.56 219	1451.45 222	1725.60 231	1598.35 234	9203.30 244	315.86 210	5016.02 240	1363.85 232	4894.28 238	387.23 217	2023.43 233	3973.88 237	620.04 209	732.56 214
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
3Dnovator	2482.06 14	2531.17 211	2839.56 214	1606.00 226	1732.00 234	1557.00 232	8375.00 240	483.00 234	4370.00 234	1371.00 235	4200.00 229	350.00 213	2207.00 237	3877.00 236	798.00 230	1054.00 247

SteuartSystems-ACMMP		2891.50 219	3284.78 222	1711.67 230	1954.00 241	1655.00 240	10117.00 257	445.00 228	5102.00 243	1375.00 236	5126.00 242	351.00 214	2638.00 250	4402.00 244	691.00 216	842.00 224
Skip Steuart: Steuart Systems R&D Blog.
AdaColmap		2570.77 213	2948.61 216	1437.24 221	1873.64 240	1526.60 231	7819.77 235	373.97 217	4970.45 238	1479.29 237	4648.46 235	525.80 228	1904.97 231	4150.42 241	695.69 219	880.14 230

LF4IMVS		2699.50 216	3049.67 218	1649.00 228	1755.00 235	1689.00 241	8330.00 239	464.00 231	4997.00 239	1528.00 238	4763.00 237	568.00 232	2296.00 239	4215.00 242	827.00 232	962.00 237

tpmrst		2557.50 212	2847.12 215	1688.66 229	1784.08 239	1778.25 247	7445.50 234	342.14 213	4471.54 235	1534.55 239	4382.10 233	530.10 229	2361.21 240	4142.81 240	991.22 241	926.51 232

CHOSEN 280x420		2340.81 208	2643.03 211	1434.14 218	2025.55 247	1629.36 237	6542.40 224	412.49 223	4219.70 231	1547.02 240	4328.52 230	650.74 241	1798.26 227	3333.17 230	727.72 220	874.79 227

CHOSEN 1792x2688		2340.81 208	2643.03 211	1434.14 218	2025.55 247	1629.36 237	6542.40 224	412.49 223	4219.70 231	1547.02 240	4328.52 230	650.74 241	1798.26 227	3333.17 230	727.72 220	874.79 227

HyFIR lowres test		2340.81 208	2643.03 211	1434.14 218	2025.55 247	1629.36 237	6542.40 224	412.49 223	4219.70 231	1547.02 240	4328.52 230	650.74 241	1798.26 227	3333.17 230	727.72 220	874.79 227

DPM-MVS		3268.00 222	3762.89 225	1783.33 233	1756.00 236	1806.00 248	12319.00 260	307.00 208	6319.00 251	1557.00 243	5763.00 244	302.00 208	2609.00 246	5061.00 248	482.00 204	935.00 234

OPM-MVS		3268.00 222	3762.89 225	1783.33 233	1756.00 236	1806.00 248	12319.00 260	307.00 208	6319.00 251	1557.00 243	5763.00 244	302.00 208	2609.00 246	5061.00 248	482.00 204	935.00 234
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
EGC-MVSNET		2819.75 217	3096.89 220	1988.33 239	3105.00 269	2241.00 258	9480.00 248	640.00 254	4209.00 230	1583.00 245	4740.00 236	547.00 231	2797.00 252	2644.00 225	924.00 239	927.00 233

tpm2		3617.85 226	4007.23 228	2449.73 247	2012.71 243	1698.05 242	7351.19 230	869.29 261	6132.06 246	1588.28 246	8007.42 262	1281.09 268	3888.11 266	7472.04 266	1351.00 257	1763.02 263

tpm cat1		3617.85 226	4007.23 228	2449.73 247	2012.71 243	1698.05 242	7351.19 230	869.29 261	6132.06 246	1588.28 246	8007.42 262	1281.09 268	3888.11 266	7472.04 266	1351.00 257	1763.02 263

CostFormer		3617.85 226	4007.23 228	2449.73 247	2012.71 243	1698.05 242	7351.19 230	869.29 261	6132.06 246	1588.28 246	8007.42 262	1281.09 268	3888.11 266	7472.04 266	1351.00 257	1763.02 263

tpm		3617.85 226	4007.23 228	2449.73 247	2012.71 243	1698.05 242	7351.19 230	869.29 261	6132.06 246	1588.28 246	8007.42 262	1281.09 268	3888.11 266	7472.04 266	1351.00 257	1763.02 263

DVP-MVS++		3981.10 232	4731.32 237	1730.42 231	2191.51 250	1949.98 252	16473.90 269	355.33 214	7172.90 262	1622.98 250	7879.79 260	434.33 220	2428.11 242	5762.12 251	689.04 214	813.18 220

DVP-MVS		3981.10 232	4731.32 237	1730.42 231	2191.51 250	1949.98 252	16473.90 269	355.33 214	7172.90 262	1622.98 250	7879.79 260	434.33 220	2428.11 242	5762.12 251	689.04 214	813.18 220
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
OpenMVS_ROB	1936.51 10	1959.51 202	2224.88 206	1163.39 214	1253.91 222	1434.22 228	7065.71 227	272.76 206	2472.29 218	1647.54 252	3538.72 224	200.37 194	1496.48 223	2575.17 224	997.45 242	559.48 204

TAPA-MVS	6309.84 21	3374.90 224	3806.99 227	2078.63 242	2535.47 258	2499.25 266	8816.16 242	456.05 230	6255.60 250	1664.52 253	6704.88 249	629.95 239	2768.38 251	6343.93 262	856.35 234	968.25 238
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.		3528.01 225	4065.89 232	1914.35 236	2349.10 253	2141.30 257	12362.70 262	417.60 227	6717.80 257	1759.40 254	6497.50 247	518.18 227	2629.38 249	5164.32 250	806.40 231	972.38 239
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
3Dnovator+	3414.41 17	3146.67 220	3537.00 223	1975.67 237	2310.00 252	2005.00 255	10100.00 256	626.00 253	5753.00 244	1803.00 255	5179.00 243	487.00 224	2622.00 248	4550.00 245	1025.00 250	1300.00 254

ITE_SJBPF				2014.00 241	1998.00 242	1992.00 254		701.00 256	5989.00 245	1812.00 256	3612.00 226	650.00 240	2852.00 253	4601.00 246	1195.00 256	1198.00 253

MVS_111021_HR		3742.80 230	4330.34 233	1980.20 238	2484.31 256	2259.52 259	14973.80 267	515.90 247	6500.13 254	1949.21 257	6146.89 246	535.66 230	2593.66 245	4880.76 247	986.37 240	1087.43 248

FOURS1					2643.17 259	2465.14 261	13996.40 264	493.26 235	7619.38 265	2107.24 258

PC_three_1452									7619.38 265	2107.24 258	7416.93 256	610.24 236	3088.29 259	6075.14 258	1078.39 251	1159.26 249

test_one_0601					2643.17 259	2465.14 261		493.26 235	7619.38 265	2107.24 258	7416.93 256	610.24 236

SED-MVS		4062.74 235	4671.13 236	2237.56 243	2643.17 259	2465.14 261	13996.40 264	493.26 235	7619.38 265	2107.24 258	7416.93 256	610.24 236	3088.29 259	6075.14 258	1078.39 251	1159.26 249

IU-MVS					2725.60 264	2598.35 267		515.86 243	7016.02 258	2363.85 262				5973.88 254	1620.04 263	1732.56 259

test_241102_TWO								515.86 243	7016.02 258	2363.85 262	6894.28 250	887.23 254	3023.43 255	5973.88 254	1620.04 263	1732.56 259

test_241102_ONE					2725.60 264	2598.35 267		515.86 243	7016.02 258	2363.85 262	6894.28 250	887.23 254	3023.43 255

MSP-MVS		4296.20 236	4911.12 240	2451.45 251	2725.60 264	2598.35 267	16203.30 268	515.86 243	7016.02 258	2363.85 262	6894.28 250	887.23 254	3023.43 255	5973.88 254	1620.04 263	1732.56 259
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
GST-MVS		4000.00 234	4533.33 235	2400.00 246	2400.00 255	2400.00 260	7200.00 229	2400.00 277	7200.00 264	2400.00 266	7200.00 254	2400.00 272	2400.00 241	7200.00 264	2400.00 269	2400.00 268

MAR-MVS		3973.16 231	4387.92 234	2728.86 253	3345.27 270	3341.39 273	11403.90 259	798.76 258	6555.62 256	2569.29 267	6514.86 248	834.97 253	3237.43 263	5891.08 253	1577.54 262	1607.76 255
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		4380.83 237	4906.56 239	2803.67 254	3844.00 271	3116.00 272	13454.00 263	901.00 265	6511.00 255	2794.00 268	7365.00 255	754.00 250	3634.00 264	6622.00 263	1914.00 268	1661.00 258

OMC-MVS		5022.26 238	5748.82 241	2842.58 255	4905.27 273	3101.27 271	14933.60 266	812.24 259	9278.40 269	2959.29 269	8800.17 266	1092.24 266	3806.30 265	7568.54 270	1389.60 261	1620.18 257

LS3D		7684.71 240	8776.23 243	4410.16 257	5298.55 274	5631.53 275	34329.90 274	1504.57 275	11554.00 278	3896.41 270	15111.00 275	812.19 251	5985.63 271	3516.20 234	2963.23 270	1613.31 256

CLD-MVS		7338.25 239	8341.00 242	4330.00 256	4902.00 272	4991.00 274	23318.00 272	728.00 257	14437.00 279	4378.00 271	13379.00 274	824.00 252	5708.00 270	11429.00 279	1674.00 267	2291.00 267
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
MVE	10021.00 22	10550.67 248	10002.44 251	12195.33 266	6242.00 275	8768.00 277	30896.00 273	4451.00 278	10331.00 277	6247.00 272	18296.00 276	283.00 205	21484.00 280	7364.00 265	5912.00 272	6334.00 270
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA		10738.67 249	11772.44 252	7637.33 258	9120.00 276	8206.00 276	22252.00 271	2010.00 276	24984.00 280	7458.00 273	22596.00 277	2940.00 273	10260.00 279	11100.00 278	3492.00 271	4446.00 269

ZNCC-MVS		9999.00 241	9999.00 244	9999.00 259	9999.00 277	9999.00 278	9999.00 249	9999.00 281	9999.00 270	9999.00 274	9999.00 267	9999.00 275	9999.00 272	9999.00 271	9999.00 273	9999.00 271

patch_mono-2		10000.00 242	10000.00 245	10000.00 260	10000.00 278	10000.00 279	10000.00 250	10000.00 282	10000.00 271	10000.00 275	10000.00 268	10000.00 276	10000.00 273	10000.00 272	10000.00 274	10000.00 272

dcpmvs_2		10000.00 242	10000.00 245	10000.00 260	10000.00 278	10000.00 279	10000.00 250	10000.00 282	10000.00 271	10000.00 275	10000.00 268	10000.00 276	10000.00 273	10000.00 272	10000.00 274	10000.00 272

DCPMVS		10000.00 242	10000.00 245	10000.00 260	10000.00 278	10000.00 279	10000.00 250	10000.00 282	10000.00 271	10000.00 275	10000.00 268	10000.00 276	10000.00 273	10000.00 272	10000.00 274	10000.00 272

UA-Net		10000.00 242	10000.00 245	10000.00 260	10000.00 278	10000.00 279	10000.00 250	10000.00 282	10000.00 271	10000.00 275	10000.00 268	10000.00 276	10000.00 273	10000.00 272	10000.00 274	10000.00 272

uncertanet		10000.00 242	10000.00 245	10000.00 260	10000.00 278	10000.00 279	10000.00 250	10000.00 282	10000.00 271	10000.00 275	10000.00 268	10000.00 276	10000.00 273	10000.00 272	10000.00 274	10000.00 272

uanet		10000.00 242	10000.00 245	10000.00 260	10000.00 278	10000.00 279	10000.00 250	10000.00 282	10000.00 271	10000.00 275	10000.00 268	10000.00 276	10000.00 273	10000.00 272	10000.00 274	10000.00 272

LTVRE_ROB	20565.47 23	23378.08 250	22805.00 253	25097.33 267	15500.00 284	19201.00 285	42712.00 275	6055.00 279	38388.00 281	16926.00 281	38534.00 278	7071.00 274	35653.00 281	29475.00 280	10584.00 280	20438.00 279
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		32606.17 251	34443.44 254	27094.33 268	29249.00 285	25246.00 286	51144.00 276	6705.00 280	42886.00 282	22888.00 282	48534.00 279	13263.00 282	37507.00 282	79298.00 281	16024.00 281	18530.00 278

114514_t		99999.00 252	99999.00 255	99999.00 269	99999.00 286	99999.00 287	99999.00 277	99999.00 288	99999.00 283	99999.00 283	99999.00 280	99999.00 283	99999.00 283	99999.00 282	99999.00 282	99999.00 280

PHI-MVS		99999.00 252	99999.00 255	99999.00 269	99999.00 286	99999.00 287	99999.00 277	99999.00 288	99999.00 283	99999.00 283	99999.00 280	99999.00 283	99999.00 283	99999.00 282	99999.00 282	99999.00 280

XVG-OURS-SEG-HR		999999.00 257	999999.00 257	999999.00 271	999999.00 288	999999.00 289	999999.00 279	999999.00 290	999999.00 285	999999.00 285	999999.00 282	999999.00 285	999999.00 285	999999.00 284	999999.00 284	999999.00 282

XVG-OURS		999999.00 257	999999.00 257	999999.00 271	999999.00 288	999999.00 289	999999.00 279	999999.00 290	999999.00 285	999999.00 285	999999.00 282	999999.00 285	999999.00 285	999999.00 284	999999.00 284	999999.00 282

XVG-ACMP-BASELINE		999999.00 257	999999.00 257	999999.00 271	999999.00 288	999999.00 289	999999.00 279	999999.00 290	999999.00 285	999999.00 285	999999.00 282	999999.00 285	999999.00 285	999999.00 284	999999.00 284	999999.00 282

iter_conf_final		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

bld_raw_dy_0_64		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

test2506		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

test1111		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

ECVR-MVS		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

test_blank		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

Anonymous20240521		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

cl22		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

miper_ehance_all_eth		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

miper_enhance_ethall		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

cl____		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

DIV-MVS_self_test		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

eth_miper_zixun_eth		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

testtj		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

ET-MVSNet_ETH3D		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

UniMVSNet_ETH3D		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

miper_lstm_enhance		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

D2MVS		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

test_yl		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

thisisatest0530		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

Anonymous20240529		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

Anonymous202405211		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

DCV-MVSNet		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

tttt0517		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

our_test_3		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

thisisatest0515		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

ppachtmachnet_test		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

SMA-MVS		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285
Yufeng Yin; Xiaoyan Liu; Zichao Zhang: SMA-MVS: Segmentation-Guided Multi-Scale Anchor Deformation Patch Multi-View Stereo. IEEE Transactions on Circuits and Systems for Video Technology
DPE-MVS		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
test_part2					10000000.00 291	10000000.00 292				10000000.00 288

test_part1		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

thres100view900		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

tfpnnormal		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

tfpn200view9		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

c3_l		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

IterMVS-SCA-FT		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

pmmvs6		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

pmmvs5		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

Anonymous20231211		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

pmmvs-eth3d		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

Anonymous20231206		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

SCA		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

Patchmatch-test		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

Patchmatch-RL test		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

canonicalmvs		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

anonymousdsp		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

FIs		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

FC-MVSNet-test		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

sosnet-low-res		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

AllTest		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

TestCases				10000000.00 274	10000000.00 291	10000000.00 292		10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

iter_conf05		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

RRT_MVS		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

HPM-MVS++		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

XVS		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

pm-mvs1		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

X-MVStestdata		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

APDe-MVS		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

APD-MVS_3200maxsize		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

pmmvs4		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

test-LLR		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

TESTMET0.1,1		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

test-mter		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

testgi		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

test20.03		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

thres600view7		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

MP-MVS		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

thres400		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

test123		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

thres200		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

test0.0.03 1		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

pmmvs3		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

EMVS		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

E-PMN		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

PGM-MVS		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

MCST-MVS		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

MVS_Test		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

PMMVS2		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

PM-MVS		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

HQP_MVS		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

plane_prior3						10000000.00 292			10000000.00 288	10000000.00 288

mPP-MVS		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

mvsmamba		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

HPM-MVS_fast		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

HPM-MVS		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

LGP-MVS_train				10000000.00 274	10000000.00 291	10000000.00 292		10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

EPNet_dtu		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP-NCC					10000000.00 291		10000000.00 282		10000000.00 288	10000000.00 288

ACMP_Plane					10000000.00 291		10000000.00 282		10000000.00 288	10000000.00 288

HQP4-MVS										10000000.00 288			10000000.00 288			10000000.00 285

CNVR-MVS		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

NCCC		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

CP-MVS		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

CPTT-MVS		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

HQP-MVS		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

IS-MVSNet		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

PAPM_NR		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

PAPR		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

Vis-MVSNet (Re-imp)		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

PatchMatch-RL		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

TDRefinement		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

EPP-MVSNet		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

PMMVS		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

PAPM		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

ACMMP		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285
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		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

wuyk23d		10000000.00 260	10000000.00 263	10000000.00 274	10000000.00 291	10000000.00 292	10000000.00 282	10000000.00 293	10000000.00 288	10000000.00 288	10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

APD-MVS		1000000000.00 363	1000000000.00 366	1000000000.00 379	1000000000.00 404	1000000000.00 403	1000000000.00 390	1000000000.00 404	1000000000.00 397	1000000000.00 398	1000000000.00 395	1000000000.00 400	1000000000.00 398	1000000000.00 396	1000000000.00 396	1000000000.00 394
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
MSC_two_6792asdad				2237.56 243	2643.17 259	2465.14 261		493.26 235					3088.29 259	6075.14 258	1078.39 251	1159.26 249

No_MVS				2237.56 243	2643.17 259	2465.14 261		493.26 235					3088.29 259	6075.14 258	1078.39 251	1159.26 249

eth-test2					1.42 71

eth-test					10000000.00 291

OPU-MVS				2451.45 251	2725.60 264	2598.35 267	9203.30 244				6894.28 250	887.23 254	3023.43 255	5973.88 254	1620.04 263	1732.56 259

save fliter					0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

test_0728_SECOND				1451.45 222	1725.60 231	1598.35 234	9203.30 244	315.86 210					2023.43 233	3973.88 237	620.04 209	732.56 214

GSMVS																10000000.00 285

sam_mvs1												10000000.00 288				10000000.00 285

sam_mvs												10000000.00 288

MTGPA								10000000.00 293

test_post1							10000000.00 282				10000000.00 285	10000000.00 288	10000000.00 288	10000000.00 287

test_post											10000000.00 285	10000000.00 288	10000000.00 288

patchmatchnet-post											10000000.00 285	10000000.00 288	10000000.00 288

MTMP							10000000.00 282	10000000.00 293

gm-plane-assit					611.29 189	600.33 195			579.21 165		567.40 161		531.67 177	503.93 163

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_prior				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

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

原ACMM2							0.00 1

testdata2													0.00 1	0.00 1

segment_acmp												0.00 1

testdata1							0.00 1		0.00 1

plane_prior7					10000000.00 291	10000000.00 292

plane_prior6					10000000.00 291	10000000.00 292						10000000.00 288

plane_prior5								10000000.00 293					10000000.00 288	10000000.00 287	10000000.00 287	10000000.00 285

plane_prior4											10000000.00 285

plane_prior2							10000000.00 282		10000000.00 288

plane_prior1					10000000.00 291

plane_prior						1.00 65	2.00 97		2.00 98						2.00 96

n2								14.20 139

nn								1.42 73

door-mid								1.42 73

test11								1.00 66

door								99.00 175

HQP5-MVS						10000000.00 292

BP-MVS														10000000.00 287

HQP3-MVS								10000000.00 293							10000000.00 287

HQP2-MVS												10000000.00 288

NP-MVS					10000000.00 291	10000000.00 292					10000000.00 285

ACMMP++_ref															10000000.00 287

ACMMP++															10000000.00 287

Test By Simon												990.00 258

High-resolution multi-view benchmark