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

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

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

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

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

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

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
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

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

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

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

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

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

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

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

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

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
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.
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

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

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

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
SR-MVS					610.10 85			610.10 72				610.10 115

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.
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
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

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

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

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

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	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
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

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

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

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
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

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
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

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

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)
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
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

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

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

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

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

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
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	1327.42 148	2904.33 129	2573.45 131	2227.77 121	1475.33 126	3260.73 126

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	1012.20 143	2415.09 125	2970.27 139	2736.80 135	2419.79 144	4762.44 141

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

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
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

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
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.
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
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	2260.00 142	1212.00 147	2968.00 132	2936.00 138	2571.00 131	1759.00 139	3727.00 136
Johannes L. SchÃ¶nberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
tpm cat1		2652.13 123	2606.66 128	2705.18 123	3151.86 131	6902.39 147	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	6902.39 147	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	6902.39 147	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+	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	2040.00 141	3710.00 135

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	1043.87 144	3387.29 136	2794.29 132	2687.41 132	1727.73 138	3704.25 134

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	1300.96 147	2221.19 141	1117.25 146	3420.01 137	2873.98 133	2835.60 136	2061.69 142	3778.31 137

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	1919.00 138	738.00 122	3319.00 134	2901.00 135	2715.00 133	1620.00 134	4254.00 139

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	1919.00 138	738.00 122	3319.00 134	2901.00 135	2715.00 133	1620.00 134	4254.00 139

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	1964.77 140	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
TSAR-MVS + MP.		4216.58 139	4674.68 141	3682.13 136	3752.63 140	4315.48 141	4264.77 143	7782.51 138	2583.81 133	1125.68 141	16722.30 152	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
MSP-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	1061.55 145	4307.30 142	3013.40 140	3171.41 139	1809.38 140	3504.79 132

DVP-MVS		3258.34 135	2529.80 126	4108.31 139	4005.62 142	4693.14 143	4737.88 146	10195.40 146	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

PLC	4785.50 15	3275.54 136	3030.86 138	3561.00 134	4093.00 143	4596.00 142	5174.00 149	4267.00 116	3570.00 143	1495.00 148	2940.00 145	1594.00 150	3947.00 140	3817.00 142	3343.00 141	2390.00 143	1356.00 107
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
MAR-MVS		3961.62 138	3726.55 139	4235.86 140	4107.62 144	6522.83 146	4862.93 147	7956.64 141	3380.98 142	1665.13 149	3231.54 146	1650.34 151	4357.29 143	3198.61 141	3209.42 140	2465.52 145	4892.15 142
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
SED-MVS		3539.47 137	2909.05 137	4274.95 141	4528.93 145	4986.51 144	5003.31 148	8985.31 143	2904.53 141	1294.24 146	1839.12 137	1003.69 142	4135.17 141	2926.32 137	2897.04 138	1702.75 137	3806.13 138

DeepC-MVS	5581.15 17	4824.92 141	5020.53 142	4596.70 142	4714.52 146	3205.14 130	3108.50 129	10234.20 147	3823.34 145	1885.23 151	9002.42 149	2045.34 154	4715.23 145	7652.65 146	3993.41 142	2922.51 146	5421.41 143
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
OMC-MVS		4439.92 140	3906.78 140	5061.92 143	4748.70 147	5679.38 145	5855.03 150	9923.00 144	4023.36 146	1740.95 150	1693.78 132	1693.78 152	4658.45 144	4254.77 143	4135.74 143	3445.36 147	5866.63 144

TSAR-MVS + COLMAP		6088.23 142	5315.97 143	6989.21 144	6522.51 148	8025.15 150	7938.31 151	15276.20 148	5401.97 148	1914.31 152	3802.65 147	1979.48 153	6704.11 147	5217.07 144	5137.16 144	3579.82 148	7648.29 145

CLD-MVS		6986.85 143	6222.57 144	7878.50 145	7707.00 149	8884.00 151	9025.00 152	15607.00 149	6148.00 149	2571.00 153	4822.00 148	2082.00 155	7875.00 149	6389.00 145	6449.00 145	4486.00 149	8784.00 147
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D		7481.83 144	6596.02 145	8515.28 146	9871.71 150	9844.03 152	9225.16 153	18308.40 150	5364.90 147	1267.41 143	2381.61 143	1512.79 149	7225.72 148	8875.69 147	9516.28 146	5193.26 150	8676.83 146

MVE	11086.50 18	13278.69 146	12303.57 147	14416.33 148	9890.00 151	17107.00 154	4634.00 145	59884.00 153	3666.00 144	966.00 124	1792.00 135	896.00 132	5680.00 146	20677.00 151	23030.00 150	5444.00 151	18957.00 149
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
our_test_3					9999.00 152	99.00 56	99.00 55

ACMMP		9999.00 145	9999.00 146	9999.00 147	9999.00 152	9999.00 153	9999.00 154	9999.00 145	9999.00 150	9999.00 155	9999.00 150	9999.00 157	9999.00 150	9999.00 148	9999.00 147	9999.00 152	9999.00 148
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
CNLPA		17763.08 147	15907.71 148	19927.67 149	19334.00 154	22387.00 155	22896.00 155	38668.00 151	15772.00 151	7632.00 154	13229.00 151	7123.00 156	19334.00 151	15773.00 149	15700.00 148	11702.00 153	21370.00 150

MSDG		31705.85 148	29167.57 150	34667.17 150	44079.00 155	28314.00 157	44778.00 157	43648.00 152	31045.00 153	14849.00 156	26179.00 153	13752.00 159	38088.00 153	30859.00 152	30835.00 151	22561.00 155	43189.00 152

PHI-MVS		99999.00 150	99999.00 151	99999.00 152	99999.00 156	99999.00 158	99999.00 158	99999.00 154	99999.00 154	99999.00 158	99999.00 154	99999.00 160	99999.00 154	99999.00 153	99999.00 152	99999.00 156	99999.00 153

LTVRE_ROB	38377.89 19	49656.08 149	18936.71 149	85495.33 151	306852.00 157	22526.00 156	29206.00 156	112098.00 155	30022.00 152	17348.00 157	2824.00 144	11239.00 158	29457.00 152	20569.00 150	19941.00 149	18011.00 154	25436.00 151
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		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

UniMVSNet_ETH3D		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

thisisatest0530		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

Anonymous202405211			10000000.00 152		10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155		10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

DCV-MVSNet		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

tttt0517		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

thisisatest0515		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

DPE-MVS		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

thres100view900		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

tfpnnormal		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

tfpn200view9		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

IterMVS-SCA-FT		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

pmmvs6		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

pmmvs5		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

Anonymous20231211		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

pmmvs-eth3d		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

Anonymous20231206		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

SCA		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

canonicalmvs		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

anonymousdsp		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

FC-MVSNet-train		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

UA-Net		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

FC-MVSNet-test		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

sosnet-low-res		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

DI_MVS_plusplus_trai		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

HPM-MVS++		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

pm-mvs1		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

APDe-MVS		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

pmmvs4		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

test-LLR		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

TESTMET0.1,1		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

test-mter		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

testgi		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

test20.03		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

thres600view7		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

MP-MVS		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

thres400		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

test123		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

thres200		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

test0.0.03 1		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

pmmvs3		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

EMVS		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

E-PMN		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

PGM-MVS		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

MCST-MVS		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

PMMVS2		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

PM-MVS		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

mPP-MVS					10000000.00 158							10000000.00 161

LGP-MVS_train		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

EPNet_dtu		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

NCCC		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

CP-MVS		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

CPTT-MVS		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

HQP-MVS		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

IS_MVSNet		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

Vis-MVSNet (Re-imp)		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

PatchMatch-RL		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

TDRefinement		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

EPP-MVSNet		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

PMMVS		10000000.00 151	10000000.00 152	10000000.00 153	10000000.00 158	10000000.00 159	10000000.00 159	10000000.00 156	10000000.00 155	10000000.00 159	10000000.00 155	10000000.00 161	10000000.00 155	10000000.00 154	10000000.00 153	10000000.00 157	10000000.00 155

APD-MVS		1000000000.00 212	1000000000.00 214	1000000000.00 214	1000000000.00 221	1000000000.00 221	1000000000.00 222	1000000000.00 218	1000000000.00 218	1000000000.00 221	1000000000.00 217	1000000000.00 224	1000000000.00 217	1000000000.00 216	1000000000.00 215	1000000000.00 219	1000000000.00 217
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
9.14												0.00 1

test_part1																	100000.00 154

MTAPA										41.98 56		28.43 51

MTMP										10000000.00 159		31.71 54

Patchmatch-RL test							10000000.00 159

NP-MVS									10000000.00 155

Patchmtry						1825.90 116	885.90 97	1405.90 93		1285.90 144

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

High-resolution multi-view benchmark