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	courty.	delive.	electro	facade	kicker	meadow	office	pipes	playgr.	relief	relief.	terrace	terrai.

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	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	0.00 1

EIA-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	0.00 1

ETV-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	0.00 1

CS-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	0.00 1

SMA-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	0.00 1

Fast-Effi-MVS+-dtu		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

Effi-MVS+-dtu		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	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	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	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

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	0.00 1

v144192		0.40 12	0.40 12	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 14	0.40 13	0.40 12	0.40 12	0.40 13	0.40 13

v1921920		0.40 12	0.40 12	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 14	0.40 13	0.40 12	0.40 12	0.40 13	0.40 13

v1192		0.40 12	0.40 12	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 14	0.40 13	0.40 12	0.40 12	0.40 13	0.40 13

v1144		0.40 12	0.40 12	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 14	0.40 13	0.40 12	0.40 12	0.40 13	0.40 13

v148		0.40 12	0.40 12	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 14	0.40 13	0.40 12	0.40 12	0.40 13	0.40 13

v7n		0.40 12	0.40 12	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 14	0.40 13	0.40 12	0.40 12	0.40 13	0.40 13

v1240		0.40 12	0.40 12	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 14	0.40 13	0.40 12	0.40 12	0.40 13	0.40 13

v8		0.40 12	0.40 12	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 14	0.40 13	0.40 12	0.40 12	0.40 13	0.40 13

v10		0.40 12	0.40 12	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 14	0.40 13	0.40 12	0.40 12	0.40 13	0.40 13

v2v482		0.40 12	0.40 12	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 14	0.40 13	0.40 12	0.40 12	0.40 13	0.40 13

V42		0.40 12	0.40 12	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 14	0.40 13	0.40 12	0.40 12	0.40 13	0.40 13

GA-MVS		0.40 12	0.40 12	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 13	0.40 14	0.40 13	0.40 12	0.40 12	0.40 13	0.40 13

Fast-Effi-MVS+		0.41 24	0.41 24	0.41 25	0.41 25	0.41 25	0.41 25	0.41 25	0.41 25	0.41 25	0.41 25	0.41 26	0.41 25	0.41 24	0.41 24	0.41 25	0.41 25

Effi-MVS+		0.53 25	0.53 25	0.53 26	0.53 26	0.53 26	0.53 26	0.53 26	0.53 26	0.53 26	0.53 26	0.53 27	0.53 26	0.53 25	0.53 25	0.53 26	0.53 26

CDS-MVSNet		0.88 26	0.88 26	0.88 27	0.88 27	0.88 27	0.88 27	0.88 27	0.88 27	0.88 27	0.88 27	0.88 28	0.88 27	0.88 26	0.88 26	0.88 27	0.88 27
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS		0.88 26	0.88 26	0.88 27	0.88 27	0.88 27	0.88 27	0.88 27	0.88 27	0.88 27	0.88 27	0.88 28	0.88 27	0.88 26	0.88 26	0.88 27	0.88 27

DeepMVS_CX						1.00 29	1.00 29	1.00 29	1.00 29	1.00 29	1.00 29	1.00 30	1.00 29	1.00 28		1.00 29	1.00 29

MDA-MVSNet-bldmvs		1.20 28	1.20 28	1.20 29	1.20 29	1.20 30	1.20 30	1.20 30	1.20 30	1.20 30	1.20 30	1.20 31	1.20 30	1.20 29	1.20 28	1.20 30	1.20 30

CVMVSNet		1.42 29	1.42 29	1.42 30	1.42 30	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 32	1.42 31	1.42 30	1.42 29	1.42 31	1.42 31

EU-MVSNet		1.42 29	1.42 29	1.42 30	1.42 30	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 32	1.42 31	1.42 30	1.42 29	1.42 31	1.42 31

PS-CasMVS		1.42 29	1.42 29	1.42 30	1.42 30	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 32	1.42 31	1.42 30	1.42 29	1.42 31	1.42 31

UniMVSNet_NR-MVSNet		1.42 29	1.42 29	1.42 30	1.42 30	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 32	1.42 31	1.42 30	1.42 29	1.42 31	1.42 31

PEN-MVS		1.42 29	1.42 29	1.42 30	1.42 30	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 32	1.42 31	1.42 30	1.42 29	1.42 31	1.42 31

TransMVSNet (Re)		1.42 29	1.42 29	1.42 30	1.42 30	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 32	1.42 31	1.42 30	1.42 29	1.42 31	1.42 31

DTE-MVSNet		1.42 29	1.42 29	1.42 30	1.42 30	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 32	1.42 31	1.42 30	1.42 29	1.42 31	1.42 31

DU-MVS		1.42 29	1.42 29	1.42 30	1.42 30	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 32	1.42 31	1.42 30	1.42 29	1.42 31	1.42 31

UniMVSNet (Re)		1.42 29	1.42 29	1.42 30	1.42 30	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 32	1.42 31	1.42 30	1.42 29	1.42 31	1.42 31

CP-MVSNet		1.42 29	1.42 29	1.42 30	1.42 30	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 32	1.42 31	1.42 30	1.42 29	1.42 31	1.42 31

WR-MVS_H		1.42 29	1.42 29	1.42 30	1.42 30	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 32	1.42 31	1.42 30	1.42 29	1.42 31	1.42 31

WR-MVS		1.42 29	1.42 29	1.42 30	1.42 30	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 32	1.42 31	1.42 30	1.42 29	1.42 31	1.42 31

NR-MVSNet		1.42 29	1.42 29	1.42 30	1.42 30	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 32	1.42 31	1.42 30	1.42 29	1.42 31	1.42 31

Baseline_NR-MVSNet		1.42 29	1.42 29	1.42 30	1.42 30	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 32	1.42 31	1.42 30	1.42 29	1.42 31	1.42 31

TranMVSNet+NR-MVSNet		1.42 29	1.42 29	1.42 30	1.42 30	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 31	1.42 32	1.42 31	1.42 30	1.42 29	1.42 31	1.42 31

CDPH-MVS		6.66 44	6.66 44	6.66 45	6.66 45	6.66 46	6.66 46	6.66 46	6.66 46	6.66 46	6.66 46	6.66 47	6.66 46	6.66 45	6.66 44	6.66 46	6.66 46

MDTV_nov1_ep13_2view		9.99 45	9.99 45	9.99 46	9.99 46	9.99 47	9.99 47	9.99 47	9.99 47	9.99 47	9.99 47	9.99 48	9.99 47	9.99 46	9.99 45	9.99 47	9.99 47

MDTV_nov1_ep13		9.99 45	9.99 45	9.99 46	9.99 46	9.99 47	9.99 47	9.99 47	9.99 47	9.99 47	9.99 47	9.99 48	9.99 47	9.99 46	9.99 45	9.99 47	9.99 47

X-MVS		52.20 48	52.20 48	52.20 49	52.20 49	52.20 50	52.20 50	52.20 49	52.20 50	52.20 59	52.20 50	52.20 69	52.20 52	52.20 49	52.20 48	52.20 52	52.20 52

GBi-Net		39.84 47	35.75 47	44.63 48	43.04 48	49.88 49	51.06 49	86.51 50	35.34 49	17.20 49	29.83 49	15.85 50	43.43 51	35.35 48	35.70 47	26.51 51	48.28 51

new_pmnet		75.00 49	74.67 49	75.39 50	85.42 52	96.03 54	98.77 53	173.23 51	69.57 51	36.19 50	56.93 51	117.43 73	32.98 49	85.38 57	68.41 49	25.74 49	28.95 49

N_pmnet		75.00 49	74.67 49	75.39 50	85.42 52	96.03 54	98.77 53	173.23 51	69.57 51	36.19 50	56.93 51	117.43 73	32.98 49	85.38 57	68.41 49	25.74 49	28.95 49

FMVSNet5		116.86 55	110.47 57	124.32 56	131.47 60	157.41 63	150.67 62	199.64 53	115.30 60	56.61 65	97.70 62	51.77 59	117.26 57	77.26 50	113.14 58	90.25 64	160.68 60

test1		116.86 55	110.47 57	124.32 56	131.47 60	157.41 63	150.67 62	199.64 53	115.30 60	56.61 65	97.70 62	51.77 59	117.26 57	77.26 50	113.14 58	90.25 64	160.68 60

FMVSNet3		116.86 55	110.47 57	124.32 56	131.47 60	157.41 63	150.67 62	199.64 53	115.30 60	56.61 65	97.70 62	51.77 59	117.26 57	77.26 50	113.14 58	90.25 64	160.68 60

FMVSNet2		116.86 55	110.47 57	124.32 56	131.47 60	157.41 63	150.67 62	199.64 53	115.30 60	56.61 65	97.70 62	51.77 59	117.26 57	77.26 50	113.14 58	90.25 64	160.68 60

FMVSNet1		116.86 55	110.47 57	124.32 56	131.47 60	157.41 63	150.67 62	199.64 53	115.30 60	56.61 65	97.70 62	51.77 59	117.26 57	77.26 50	113.14 58	90.25 64	160.68 60

MIMVSNet1		116.86 55	110.47 57	124.32 56	131.47 60	157.41 63	150.67 62	199.64 53	115.30 60	56.61 65	97.70 62	51.77 59	117.26 57	77.26 50	113.14 58	90.25 64	160.68 60

MIMVSNet		116.86 55	110.47 57	124.32 56	131.47 60	157.41 63	150.67 62	199.64 53	115.30 60	56.61 65	97.70 62	51.77 59	117.26 57	77.26 50	113.14 58	90.25 64	160.68 60

CANet		100.44 51	93.07 51	109.04 52	111.90 54	131.06 59	119.40 56	222.42 60	80.48 53	36.93 52	70.80 53	40.92 55	89.90 53	100.59 59	101.42 52	73.68 57	126.25 53

CANet_DTU		100.44 51	93.07 51	109.04 52	111.90 54	131.06 59	119.40 56	222.42 60	80.48 53	36.93 52	70.80 53	40.92 55	89.90 53	100.59 59	101.42 52	73.68 57	126.25 53

MVS_0304		100.44 51	93.07 51	109.04 52	111.90 54	131.06 59	119.40 56	222.42 60	80.48 53	36.93 52	70.80 53	40.92 55	89.90 53	100.59 59	101.42 52	73.68 57	126.25 53

UGNet		100.44 51	93.07 51	109.04 52	111.90 54	131.06 59	119.40 56	222.42 60	80.48 53	36.93 52	70.80 53	40.92 55	89.90 53	100.59 59	101.42 52	73.68 57	126.25 53
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
tmp_tt				299.50 69	365.00 71	54.00 53	649.00 84	241.00 64	159.00 69	204.00 81	479.00 89	308.00 98	243.00 70	246.00 69	82.00 51	95.00 71

PVSNet_Blended_VisFu		129.22 64	115.76 64	144.92 65	140.60 67	162.80 70	166.50 69	281.20 65	114.70 57	55.50 62	96.20 59	51.80 66	140.60 66	114.70 63	114.70 65	85.10 61	155.40 57

PVSNet_BlendedMVS		129.22 64	115.76 64	144.92 65	140.60 67	162.80 70	166.50 69	281.20 65	114.70 57	55.50 62	96.20 59	51.80 66	140.60 66	114.70 63	114.70 65	85.10 61	155.40 57

PVSNet_Blended		129.22 64	115.76 64	144.92 65	140.60 67	162.80 70	166.50 69	281.20 65	114.70 57	55.50 62	96.20 59	51.80 66	140.60 66	114.70 63	114.70 65	85.10 61	155.40 57

ACMMP_NAP		119.64 62	106.58 55	134.88 63	123.82 58	127.44 57	145.38 60	298.43 68	116.16 67	43.72 57	77.82 57	29.30 52	131.24 64	117.82 66	106.21 56	66.69 55	171.29 67

zzz-MVS		119.64 62	106.58 55	134.88 63	123.82 58	127.44 57	145.38 60	298.43 68	116.16 67	43.72 57	77.82 57	29.30 52	131.24 64	117.82 66	106.21 56	66.69 55	171.29 67

RPMNet		858.01 94	961.99 100	736.69 84	550.05 82	1120.24 108	1212.05 110	463.05 70	485.90 84	550.05 110	580.05 98	890.05 131	559.05 79	1485.90 111	1185.90 109	1085.90 115	985.90 97

SixPastTwentyTwo		210.90 67	189.75 67	235.58 68	225.41 70	284.88 73	267.17 72	485.88 71	164.28 70	76.51 72	137.62 69	76.69 72	214.49 69	206.28 68	208.00 68	144.02 72	250.52 69

SR-MVS					610.10 85			610.10 72				610.10 115

PatchT		878.42 95	785.05 95	987.36 96	1050.05 107	922.05 98	1111.05 106	677.05 73	950.05 103	1285.90 144	750.05 105	640.05 117	850.05 93	950.05 97	950.05 97	950.05 108	333.05 70

GG-mvs-BLEND		557.53 78	503.49 76	620.58 79	485.90 76	370.41 74	267.30 73	710.53 74	454.42 80	785.72 117	491.23 91	326.12 100	881.92 95	538.27 81	650.05 88	592.08 97	693.94 79

gm-plane-assit		551.84 75	503.49 76	608.24 78	411.90 72	370.41 74	267.30 73	710.53 74	454.42 80	785.72 117	491.23 91	326.12 100	881.92 95	538.27 81	650.05 88	592.08 97	693.94 79

gg-mvs-nofinetune		557.53 78	503.49 76	620.58 79	485.90 76	370.41 74	267.30 73	710.53 74	454.42 80	785.72 117	491.23 91	326.12 100	881.92 95	538.27 81	650.05 88	592.08 97	693.94 79

CR-MVSNet		557.53 78	503.49 76	620.58 79	485.90 76	370.41 74	267.30 73	710.53 74	454.42 80	785.72 117	491.23 91	326.12 100	881.92 95	538.27 81	650.05 88	592.08 97	693.94 79

RPSCF		376.53 68	341.80 68	417.05 70	418.60 73	457.01 78	467.46 77	825.25 78	336.12 72	159.32 76	260.40 72	151.13 77	386.94 71	364.25 70	352.10 69	244.72 73	471.62 71

EG-PatchMatch MVS		402.98 69	364.36 69	448.05 71	435.50 74	473.00 79	489.60 78	910.20 79	338.60 73	127.30 73	205.10 70	123.50 75	434.60 72	450.70 74	447.70 72	291.10 75	511.90 72

MS-PatchMatch		438.85 70	388.71 70	497.33 72	479.00 75	527.00 80	558.00 81	988.00 80	379.00 75	174.00 78	278.00 74	162.00 78	494.00 76	418.00 71	412.00 70	291.00 74	545.00 75

DELS-MVS		458.84 73	423.31 73	500.30 73	511.99 79	616.59 82	578.86 82	991.10 81	355.79 74	158.99 75	319.09 76	190.62 81	453.64 75	437.73 73	439.52 71	307.20 76	603.81 76
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
EPMVS		999.00 98	999.00 101	999.00 97	999.00 100	999.00 101	999.00 99	999.00 82	999.00 105	999.00 127	999.00 112	999.00 136	999.00 101	999.00 100	999.00 100	999.00 109	999.00 98

uanet_test		1000.00 99	1000.00 103	1000.00 98	1000.00 102	1000.00 103	1000.00 101	1000.00 83	1000.00 107	1000.00 129	1000.00 114	1000.00 138	1000.00 103	1000.00 102	1000.00 102	1000.00 111	1000.00 100

sosnet		1000.00 99	1000.00 103	1000.00 98	1000.00 102	1000.00 103	1000.00 101	1000.00 83	1000.00 107	1000.00 129	1000.00 114	1000.00 138	1000.00 103	1000.00 102	1000.00 102	1000.00 111	1000.00 100

USDC		1000.00 99	1000.00 103	1000.00 98	1000.00 102	1000.00 103	1000.00 101	1000.00 83	1000.00 107	1000.00 129	1000.00 114	1000.00 138	1000.00 103	1000.00 102	1000.00 102	1000.00 111	1000.00 100

TinyColmap		1000.00 99	1000.00 103	1000.00 98	1000.00 102	1000.00 103	1000.00 101	1000.00 83	1000.00 107	1000.00 129	1000.00 114	1000.00 138	1000.00 103	1000.00 102	1000.00 102	1000.00 111	1000.00 100

ADS-MVSNet		452.36 71	406.02 71	506.42 75	534.76 81	628.22 83	552.79 80	1009.99 87	333.98 71	149.26 74	246.67 71	149.01 76	447.03 74	465.35 75	501.18 75	344.69 78	517.75 73

PatchmatchNet		452.63 72	410.20 72	502.13 74	520.70 80	614.40 81	546.00 79	1018.80 88	379.00 75	167.50 77	277.10 73	169.40 79	437.10 73	437.10 72	457.50 73	322.70 77	536.90 74
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
IB-MVS	750.90 3	552.99 76	511.38 80	601.53 76	606.02 84	735.75 88	688.75 86	1183.86 89	436.09 79	210.63 83	397.40 79	233.85 85	551.05 78	521.77 78	533.78 78	368.88 79	721.05 84
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
dps		534.60 74	472.40 74	607.16 77	690.38 89	718.85 86	636.03 83	1231.66 90	422.74 77	198.65 80	325.68 77	194.97 82	512.90 77	509.81 77	513.65 76	373.33 80	621.11 77

Gipuma		587.77 81	529.57 81	655.67 83	637.00 87	733.00 87	749.00 87	1245.00 91	525.00 86	269.00 92	445.00 87	253.00 87	637.00 83	525.00 79	525.00 77	397.00 82	701.00 83
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
IterMVS		554.60 77	488.63 75	631.57 82	636.90 86	700.80 84	674.70 85	1271.10 92	430.50 78	207.10 82	370.50 78	202.70 83	611.80 81	534.20 80	545.30 79	387.80 81	636.40 78
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
Patchmtry						1825.90 116	885.90 97	1405.90 93		1285.90 144

MVS_Test		654.54 82	583.51 82	737.40 85	721.80 90	822.10 90	808.60 89	1494.00 94	542.20 88	259.90 86	441.60 81	257.70 89	689.10 85	620.80 85	617.70 81	451.00 86	782.50 85

casdiffmvs		654.54 82	583.51 82	737.40 85	721.80 90	822.10 90	808.60 89	1494.00 94	542.20 88	259.90 86	441.60 81	257.70 89	689.10 85	620.80 85	617.70 81	451.00 86	782.50 85

diffmvs		654.54 82	583.51 82	737.40 85	721.80 90	822.10 90	808.60 89	1494.00 94	542.20 88	259.90 86	441.60 81	257.70 89	689.10 85	620.80 85	617.70 81	451.00 86	782.50 85

baseline2		654.54 82	583.51 82	737.40 85	721.80 90	822.10 90	808.60 89	1494.00 94	542.20 88	259.90 86	441.60 81	257.70 89	689.10 85	620.80 85	617.70 81	451.00 86	782.50 85

baseline1		654.54 82	583.51 82	737.40 85	721.80 90	822.10 90	808.60 89	1494.00 94	542.20 88	259.90 86	441.60 81	257.70 89	689.10 85	620.80 85	617.70 81	451.00 86	782.50 85

baseline		654.54 82	583.51 82	737.40 85	721.80 90	822.10 90	808.60 89	1494.00 94	542.20 88	259.90 86	441.60 81	257.70 89	689.10 85	620.80 85	617.70 81	451.00 86	782.50 85

IterMVS-LS		714.97 90	638.00 91	804.77 93	793.60 97	914.20 97	886.50 98	1612.70 100	588.30 94	285.30 93	491.20 90	278.40 96	759.20 91	677.40 92	681.30 93	491.30 92	835.20 91
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
ACMH+	702.88 1	670.82 88	589.81 88	765.33 91	662.52 88	701.42 85	795.24 88	1698.33 101	598.81 95	226.55 84	403.02 80	187.13 80	786.82 92	724.80 94	646.56 87	422.52 84	866.95 92

new-patchmatchnet		712.65 89	632.59 89	806.05 94	787.79 96	936.25 99	882.47 96	1795.72 102	528.60 87	244.29 85	471.90 88	257.36 88	681.47 84	705.16 93	659.05 92	444.55 85	869.82 93

CSCG		727.26 91	663.25 92	801.94 92	590.65 83	811.25 89	854.12 95	1805.32 103	816.43 100	388.25 98	612.42 99	345.37 106	621.61 82	507.46 76	471.55 74	551.65 95	1078.31 104

MVSTER		834.63 92	737.03 94	948.49 95	988.86 99	1140.51 110	1129.34 108	1832.80 104	682.42 96	319.01 94	550.98 97	311.35 99	872.51 94	763.95 95	757.83 94	548.41 94	952.20 95

ACMH	935.68 4	948.23 96	857.00 96	1054.67 102	946.00 98	970.00 100	1125.00 107	2467.00 105	823.00 101	330.00 96	622.00 100	211.00 84	891.00 99	970.00 99	1061.00 106	569.00 96	1342.00 106
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++		993.91 97	732.21 93	1299.24 107	1631.22 114	1345.26 112	1480.05 113	2524.20 106	735.65 97	463.57 108	499.89 95	302.78 97	1292.66 109	675.99 91	612.79 80	403.71 83	953.11 96

PMVS	743.55 2	836.66 93	637.90 90	1068.55 103	1306.50 111	875.12 96	1166.70 109	2629.00 107	512.24 85	196.22 79	282.69 75	237.15 86	597.87 80	842.47 96	765.54 95	514.99 93	950.09 94
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
MVS_111021_LR		1055.24 104	916.36 98	1217.27 105	1129.93 109	1268.26 111	1313.88 112	2635.76 108	923.19 102	396.92 102	704.88 103	327.66 104	1136.32 107	965.38 98	946.95 96	690.83 105	1278.20 105

ACMP	1170.86 6	1091.37 105	943.23 99	1264.21 106	1112.10 108	1138.94 109	1276.90 111	2675.36 109	989.62 104	426.15 106	742.77 104	349.09 108	1454.51 113	1047.36 106	969.90 98	640.22 101	1364.94 108
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
ACMM	1129.18 5	1047.56 103	912.90 97	1204.67 104	1040.21 106	1016.71 107	1105.32 105	2918.67 110	813.91 99	327.22 95	665.34 101	267.72 95	1192.58 108	1091.35 107	991.88 99	643.99 102	1543.40 113
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
TSAR-MVS + GP.		1239.27 106	1094.74 109	1407.89 108	1220.99 110	1845.47 117	1680.98 116	3191.81 111	1098.41 111	362.98 97	679.12 102	339.31 105	1323.06 110	1173.24 110	1093.83 107	667.49 103	1433.78 109

COLMAP_ROB	3798.28 14	2690.62 127	2704.29 134	2674.67 122	3138.00 130	3522.00 136	3826.00 140	3219.00 112	2702.00 136	1138.00 142	2260.00 141	1212.00 146	2968.00 132	2936.00 137	2571.00 131	1759.00 138	3727.00 136
Johannes L. SchÃ¶nberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
ACMMPR		1265.65 107	1083.59 108	1478.06 110	1441.06 113	1438.61 115	1540.68 115	3284.05 113	1219.68 113	458.81 107	803.22 107	346.91 107	1421.66 112	1126.11 109	1150.51 108	722.08 106	1500.09 111

DeepC-MVS_fast	2081.98 8	1311.87 108	1172.50 110	1474.47 109	1411.78 112	1397.23 114	1519.03 114	3401.40 114	1201.29 112	417.90 104	801.95 106	976.25 135	1409.37 111	1114.52 108	1201.12 110	687.33 104	1515.14 112
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
MVS-HIRNet		1975.98 111	1797.02 113	2184.76 113	2111.07 117	2443.03 121	2503.43 120	4063.71 115	1684.46 121	711.34 115	1456.05 124	848.70 129	2396.26 124	1900.93 113	1915.01 114	1322.75 122	2330.99 114

PLC	4785.50 15	3275.54 136	3030.86 137	3561.00 134	4093.00 143	4596.00 142	5174.00 148	4267.00 116	3570.00 142	1495.00 147	2940.00 144	1594.00 149	3947.00 140	3817.00 141	3343.00 140	2390.00 142	1356.00 107
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
CMPMVS	2507.20 10	2083.60 112	1983.13 116	2200.81 114	2582.70 125	3097.30 128	2332.10 119	4364.50 117	1390.00 114	653.68 113	997.75 111	742.65 124	1880.20 114	2298.80 124	2413.60 128	1391.70 125	2941.80 122
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
FPMVS		1356.65 109	1072.60 107	1688.04 111	1840.79 115	1397.01 113	1793.24 117	4397.86 118	804.66 98	408.78 103	538.65 96	407.36 109	894.84 100	1587.73 112	1286.38 111	792.73 107	1486.39 110

OpenMVS	2049.89 7	1895.92 110	1721.29 111	2099.67 112	2064.00 116	2419.00 120	2138.00 118	4572.00 119	1541.00 118	548.00 109	937.00 109	580.00 114	1983.00 115	1971.00 118	1993.00 116	1293.00 121	2608.00 117

AdaColmap		2288.90 117	2080.73 121	2531.77 118	2485.98 124	2757.87 125	2974.47 127	4914.62 120	2255.54 129	804.63 121	1611.14 128	842.30 128	2657.83 127	2056.92 119	1960.62 115	1353.09 124	3080.73 123

tpmrst		2688.71 126	2604.46 127	2787.00 126	2472.96 123	3190.36 129	3313.69 131	5003.06 121	1837.26 122	1097.38 139	1721.89 133	1012.20 142	2415.09 125	2970.27 138	2736.80 135	2419.79 143	4762.44 140

DeepPCF-MVS	3033.31 11	2362.79 120	2183.15 122	2572.38 119	2349.28 122	2383.16 119	2740.92 126	5212.97 122	2043.02 125	751.44 116	1466.47 125	1327.42 147	2904.33 129	2573.45 131	2227.77 121	1475.33 126	3260.73 126

CHOSEN 280x420		2225.10 114	1992.66 117	2496.28 115	2192.10 118	2641.81 122	2621.41 122	5345.34 123	2116.46 126	1002.26 133	1683.84 129	837.43 125	2338.65 118	1920.94 115	2020.28 117	1477.92 127	2727.86 118

CHOSEN 1792x2688		2225.10 114	1992.66 117	2496.28 115	2192.10 118	2641.81 122	2621.41 122	5345.34 123	2116.46 126	1002.26 133	1683.84 129	837.43 125	2338.65 118	1920.94 115	2020.28 117	1477.92 127	2727.86 118

HyFIR lowres test		2225.10 114	1992.66 117	2496.28 115	2192.10 118	2641.81 122	2621.41 122	5345.34 123	2116.46 126	1002.26 133	1683.84 129	837.43 125	2338.65 118	1920.94 115	2020.28 117	1477.92 127	2727.86 118

tpm cat1		2652.13 123	2606.66 128	2705.18 123	3151.86 131	6902.39 146	3612.17 135	5463.78 126	1457.76 115	391.31 99	1358.61 121	446.44 110	2360.09 121	2296.48 121	2290.90 123	1251.84 117	3494.04 129

CostFormer		2652.13 123	2606.66 128	2705.18 123	3151.86 131	6902.39 146	3612.17 135	5463.78 126	1457.76 115	391.31 99	1358.61 121	446.44 110	2360.09 121	2296.48 121	2290.90 123	1251.84 117	3494.04 129

tpm		2652.13 123	2606.66 128	2705.18 123	3151.86 131	6902.39 146	3612.17 135	5463.78 126	1457.76 115	391.31 99	1358.61 121	446.44 110	2360.09 121	2296.48 121	2290.90 123	1251.84 117	3494.04 129

3Dnovator	2220.89 9	2303.77 118	2037.00 120	2615.00 121	2617.00 126	2967.00 127	2616.00 121	5882.00 129	1928.00 124	589.00 111	907.00 108	528.00 113	2443.00 126	2370.00 126	2392.00 127	1543.00 131	3167.00 124

SD-MVS		2324.36 119	1910.97 114	2806.65 127	2945.31 129	3305.03 133	3267.51 130	5962.25 130	1896.37 123	848.15 122	1224.25 120	661.55 118	2707.30 128	1913.40 114	1871.41 113	1109.38 116	2504.79 116
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
PCF-MVS	3738.24 13	2129.60 113	1746.89 112	2576.10 120	2258.22 121	2263.67 118	2650.06 125	6361.78 131	1676.15 120	695.66 114	1209.77 119	737.88 121	2237.28 116	2083.02 120	1835.31 112	1253.58 120	2422.45 115
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
TAPA-MVS	5463.68 16	2764.21 128	2434.28 124	3149.14 130	3645.15 139	3257.60 132	3452.71 134	6526.32 132	2591.85 134	651.36 112	1964.77 139	947.44 134	2924.41 130	2523.36 129	2452.68 129	1694.86 136	3302.28 127
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
SteuartSystems-ACMMP		2615.00 122	2242.57 123	3049.50 129	2828.00 128	2801.00 126	3323.00 132	6648.00 133	2491.00 131	1023.00 136	1605.00 127	697.00 119	2926.00 131	2502.00 128	2279.00 122	1549.00 132	3323.00 128
Skip Steuart: Steuart Systems R&D Blog.
DVP-MVS		3241.28 134	2825.26 136	3726.65 137	3945.31 141	4305.03 140	4267.51 144	6962.25 134	2896.37 140	1068.15 138	1824.25 136	1061.55 144	4307.30 141	3013.40 139	3171.41 138	1809.38 139	3504.79 132

Vis-MVSNet		2390.77 121	1976.57 115	2874.00 128	2644.00 127	3248.00 131	3040.00 128	7371.00 135	1627.00 119	421.00 105	1200.00 118	622.00 116	2251.00 117	2326.00 125	2052.00 120	1517.00 130	2761.00 121
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
3Dnovator+	3173.67 12	2938.77 129	2519.43 125	3428.00 131	3256.00 134	3708.00 137	3443.00 133	7516.00 136	2525.00 132	1121.00 140	972.00 110	925.00 133	3192.00 133	2899.00 134	2897.00 137	2040.00 140	3710.00 135

MVS_111021_HR		3192.50 133	2773.91 135	3680.86 135	3515.58 136	3815.81 138	4020.82 141	7766.11 137	2775.23 139	1300.96 146	2221.19 140	1117.25 145	3420.01 137	2873.98 133	2835.60 136	2061.69 141	3778.31 137

TSAR-MVS + MP.		4216.58 138	4674.68 140	3682.13 136	3752.63 140	4315.48 141	4264.77 143	7782.51 138	2583.81 133	1125.68 141	16722.30 151	882.60 130	3589.10 139	2523.80 130	2486.45 130	1578.08 133	3208.34 125
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
DPM-MVS		3051.54 130	2661.57 131	3506.50 132	3532.00 137	3332.00 134	3744.00 138	7839.00 139	2772.00 137	985.00 125	1919.00 137	738.00 122	3319.00 134	2901.00 135	2715.00 133	1620.00 134	4254.00 138

OPM-MVS		3051.54 130	2661.57 131	3506.50 132	3532.00 137	3332.00 134	3744.00 138	7839.00 139	2772.00 137	985.00 125	1919.00 137	738.00 122	3319.00 134	2901.00 135	2715.00 133	1620.00 134	4254.00 138

MAR-MVS		3961.62 137	3726.55 138	4235.86 140	4107.62 144	6522.83 145	4862.93 147	7956.64 141	3380.98 141	1665.13 148	3231.54 145	1650.34 150	4357.29 142	3198.61 140	3209.42 139	2465.52 144	4892.15 141
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
TSAR-MVS + ACMM		3184.92 132	2679.45 133	3774.64 138	3302.51 135	4168.07 139	4256.74 142	8947.31 142	2634.53 135	1026.25 137	1723.72 134	1043.87 143	3387.29 136	2794.29 132	2687.41 132	1727.73 137	3704.25 134

OMC-MVS		4439.92 139	3906.78 139	5061.92 142	4748.70 146	5679.38 144	5855.03 149	9923.00 143	4023.36 145	1740.95 149	1693.78 132	1693.78 151	4658.45 143	4254.77 142	4135.74 142	3445.36 146	5866.63 143

ACMMP		9999.00 144	9999.00 145	9999.00 146	9999.00 151	9999.00 152	9999.00 153	9999.00 144	9999.00 149	9999.00 154	9999.00 149	9999.00 156	9999.00 149	9999.00 147	9999.00 146	9999.00 151	9999.00 147
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
MSP-MVS		3258.34 135	2529.80 126	4108.31 139	4005.62 142	4693.14 143	4737.88 146	10195.40 145	2408.38 130	941.44 123	1505.82 126	734.32 120	3438.27 138	2449.15 127	2386.04 126	1331.25 123	3531.75 133

DeepC-MVS	5581.15 17	4824.92 140	5020.53 141	4596.70 141	4714.52 145	3205.14 130	3108.50 129	10234.20 146	3823.34 144	1885.23 150	9002.42 148	2045.34 153	4715.23 144	7652.65 145	3993.41 141	2922.51 145	5421.41 142
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
TSAR-MVS + COLMAP		6088.23 141	5315.97 142	6989.21 143	6522.51 147	8025.15 149	7938.31 150	15276.20 147	5401.97 147	1914.31 151	3802.65 146	1979.48 152	6704.11 146	5217.07 143	5137.16 143	3579.82 147	7648.29 144

CLD-MVS		6986.85 142	6222.57 143	7878.50 144	7707.00 148	8884.00 150	9025.00 151	15607.00 148	6148.00 148	2571.00 152	4822.00 147	2082.00 154	7875.00 148	6389.00 144	6449.00 144	4486.00 148	8784.00 146
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D		7481.83 143	6596.02 144	8515.28 145	9871.71 149	9844.03 151	9225.16 152	18308.40 149	5364.90 146	1267.41 143	2381.61 142	1512.79 148	7225.72 147	8875.69 146	9516.28 145	5193.26 149	8676.83 145

CNLPA		17763.08 146	15907.71 147	19927.67 148	19334.00 153	22387.00 154	22896.00 154	38668.00 150	15772.00 150	7632.00 153	13229.00 150	7123.00 155	19334.00 150	15773.00 148	15700.00 147	11702.00 152	21370.00 149

MSDG		31705.85 147	29167.57 149	34667.17 149	44079.00 154	28314.00 156	44778.00 156	43648.00 151	31045.00 152	14849.00 155	26179.00 152	13752.00 158	38088.00 152	30859.00 151	30835.00 150	22561.00 154	43189.00 151

MVE	11086.50 18	13278.69 145	12303.57 146	14416.33 147	9890.00 150	17107.00 153	4634.00 145	59884.00 152	3666.00 143	966.00 124	1792.00 135	896.00 132	5680.00 145	20677.00 150	23030.00 149	5444.00 150	18957.00 148
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
PHI-MVS		99999.00 149	99999.00 150	99999.00 151	99999.00 155	99999.00 157	99999.00 157	99999.00 153	99999.00 153	99999.00 157	99999.00 153	99999.00 159	99999.00 153	99999.00 152	99999.00 151	99999.00 155	99999.00 152

LTVRE_ROB	38377.89 19	49656.08 148	18936.71 148	85495.33 150	306852.00 156	22526.00 155	29206.00 155	112098.00 154	30022.00 151	17348.00 156	2824.00 143	11239.00 157	29457.00 151	20569.00 149	19941.00 148	18011.00 153	25436.00 150
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
ET-MVSNet_ETH3D		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

UniMVSNet_ETH3D		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

thisisatest0530		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

Anonymous202405211			10000000.00 151		10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154		10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

DCV-MVSNet		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

tttt0517		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

thisisatest0515		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

DPE-MVS		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

thres100view900		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

tfpnnormal		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

tfpn200view9		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

IterMVS-SCA-FT		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

pmmvs6		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

pmmvs5		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

Anonymous20231211		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

pmmvs-eth3d		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

Anonymous20231206		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

SCA		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

canonicalmvs		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

anonymousdsp		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

FC-MVSNet-train		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

UA-Net		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

FC-MVSNet-test		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

sosnet-low-res		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

DI_MVS_plusplus_trai		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

HPM-MVS++		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

pm-mvs1		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

APDe-MVS		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

pmmvs4		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

test-LLR		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

TESTMET0.1,1		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

test-mter		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

testgi		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

test20.03		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

thres600view7		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

MP-MVS		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

thres400		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

test123		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

thres200		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

test0.0.03 1		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

pmmvs3		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

EMVS		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

E-PMN		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

PGM-MVS		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

MCST-MVS		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

PMMVS2		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

PM-MVS		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

LGP-MVS_train		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

EPNet_dtu		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

NCCC		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

CP-MVS		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

CPTT-MVS		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

HQP-MVS		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

IS_MVSNet		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

Vis-MVSNet (Re-imp)		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

PatchMatch-RL		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

TDRefinement		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

EPP-MVSNet		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

PMMVS		10000000.00 150	10000000.00 151	10000000.00 152	10000000.00 157	10000000.00 158	10000000.00 158	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 154	10000000.00 160	10000000.00 154	10000000.00 153	10000000.00 152	10000000.00 156	10000000.00 154

APD-MVS		1000000000.00 211	1000000000.00 213	1000000000.00 213	1000000000.00 220	1000000000.00 220	1000000000.00 221	1000000000.00 217	1000000000.00 217	1000000000.00 220	1000000000.00 216	1000000000.00 223	1000000000.00 216	1000000000.00 215	1000000000.00 214	1000000000.00 218	1000000000.00 216
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
9.14												0.00 1

our_test_3					9999.00 151	99.00 56	99.00 55

test_part1																	100000.00 153

ambc			999.00 101		999.00 100	999.00 101	999.00 99		999.00 105	999.00 127	999.00 112	999.00 136	999.00 101	999.00 100	999.00 100	999.00 109	999.00 98

MTAPA										41.98 56		28.43 51

MTMP										10000000.00 158		31.71 54

Patchmatch-RL test							10000000.00 158

XVS					52.20 49	52.20 50	52.20 50			52.20 59		52.20 69				52.20 52

X-MVStestdata					52.20 49	52.20 50	52.20 50			52.20 59		52.20 69				52.20 52

mPP-MVS					10000000.00 157							10000000.00 160

NP-MVS									10000000.00 154

High-resolution multi-view benchmark