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
Yufeng Yin; Xiaoyan Liu; Zichao Zhang: SMA-MVS: Segmentation-Guided Multi-Scale Anchor Deformation Patch Multi-View Stereo. IEEE Transactions on Circuits and Systems for Video Technology
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

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

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
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

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

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

tmp_tt				299.50 69	365.00 71	54.00 53	649.00 84	241.00 64	159.00 69	204.00 82	479.00 90	308.00 99	243.00 70	246.00 69	82.00 51	95.00 71

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

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

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

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
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

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.
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 81	325.68 77	194.97 82	512.90 78	509.81 77	513.65 76	373.33 80	621.11 77

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 83	370.50 79	202.70 84	611.80 82	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.
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 84	397.40 80	233.85 86	551.05 79	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
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	785.72 119	491.23 92	326.12 101	881.92 96	538.27 81	650.05 89	592.08 98	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	785.72 119	491.23 92	326.12 101	881.92 96	538.27 81	650.05 89	592.08 98	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	785.72 119	491.23 92	326.12 101	881.92 96	538.27 81	650.05 89	592.08 98	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	785.72 119	491.23 92	326.12 101	881.92 96	538.27 81	650.05 89	592.08 98	693.94 79

pmnet_mix02		659.48 88	547.83 82	789.74 92	720.05 90	846.87 96	740.59 87	2153.63 105	456.15 84	191.24 79	336.49 78	200.39 83	511.90 77	608.74 85	634.29 87	421.05 84	751.91 85

RPMNet		858.01 95	961.99 101	736.69 84	550.05 82	1120.24 109	1212.05 111	463.05 70	485.90 85	550.05 111	580.05 99	890.05 132	559.05 80	1485.90 112	1185.90 110	1085.90 116	985.90 98

PMVS	743.55 2	836.66 94	637.90 91	1068.55 104	1306.50 112	875.12 97	1166.70 110	2629.00 108	512.24 86	196.22 80	282.69 75	237.15 87	597.87 81	842.47 97	765.54 96	514.99 94	950.09 95
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
Gipuma		587.77 81	529.57 81	655.67 83	637.00 87	733.00 87	749.00 88	1245.00 91	525.00 87	269.00 93	445.00 88	253.00 88	637.00 84	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
new-patchmatchnet		712.65 90	632.59 90	806.05 95	787.79 97	936.25 100	882.47 97	1795.72 102	528.60 88	244.29 86	471.90 89	257.36 89	681.47 85	705.16 94	659.05 93	444.55 86	869.82 94

MVS_Test		654.54 82	583.51 83	737.40 85	721.80 91	822.10 90	808.60 90	1494.00 94	542.20 89	259.90 87	441.60 82	257.70 90	689.10 86	620.80 86	617.70 81	451.00 87	782.50 86

casdiffmvs		654.54 82	583.51 83	737.40 85	721.80 91	822.10 90	808.60 90	1494.00 94	542.20 89	259.90 87	441.60 82	257.70 90	689.10 86	620.80 86	617.70 81	451.00 87	782.50 86

diffmvs		654.54 82	583.51 83	737.40 85	721.80 91	822.10 90	808.60 90	1494.00 94	542.20 89	259.90 87	441.60 82	257.70 90	689.10 86	620.80 86	617.70 81	451.00 87	782.50 86

baseline2		654.54 82	583.51 83	737.40 85	721.80 91	822.10 90	808.60 90	1494.00 94	542.20 89	259.90 87	441.60 82	257.70 90	689.10 86	620.80 86	617.70 81	451.00 87	782.50 86

baseline1		654.54 82	583.51 83	737.40 85	721.80 91	822.10 90	808.60 90	1494.00 94	542.20 89	259.90 87	441.60 82	257.70 90	689.10 86	620.80 86	617.70 81	451.00 87	782.50 86

baseline		654.54 82	583.51 83	737.40 85	721.80 91	822.10 90	808.60 90	1494.00 94	542.20 89	259.90 87	441.60 82	257.70 90	689.10 86	620.80 86	617.70 81	451.00 87	782.50 86

IterMVS-LS		714.97 91	638.00 92	804.77 94	793.60 98	914.20 98	886.50 99	1612.70 100	588.30 95	285.30 94	491.20 91	278.40 97	759.20 92	677.40 93	681.30 94	491.30 93	835.20 92
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
ACMH+	702.88 1	670.82 89	589.81 89	765.33 91	662.52 88	701.42 85	795.24 89	1698.33 101	598.81 96	226.55 85	403.02 81	187.13 80	786.82 93	724.80 95	646.56 88	422.52 85	866.95 93

MVSTER		834.63 93	737.03 95	948.49 96	988.86 100	1140.51 111	1129.34 109	1832.80 104	682.42 97	319.01 95	550.98 98	311.35 100	872.51 95	763.95 96	757.83 95	548.41 95	952.20 96

MSLP-MVS++		993.91 98	732.21 94	1299.24 108	1631.22 115	1345.26 113	1480.05 114	2524.20 107	735.65 98	463.57 109	499.89 96	302.78 98	1292.66 110	675.99 92	612.79 80	403.71 83	953.11 97

FPMVS		1356.65 110	1072.60 108	1688.04 112	1840.79 116	1397.01 114	1793.24 118	4397.86 119	804.66 99	408.78 104	538.65 97	407.36 110	894.84 101	1587.73 113	1286.38 112	792.73 108	1486.39 111

ACMM	1129.18 5	1047.56 104	912.90 98	1204.67 105	1040.21 107	1016.71 108	1105.32 106	2918.67 111	813.91 100	327.22 96	665.34 102	267.72 96	1192.58 109	1091.35 108	991.88 100	643.99 103	1543.40 114
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CSCG		727.26 92	663.25 93	801.94 93	590.65 83	811.25 89	854.12 96	1805.32 103	816.43 101	388.25 99	612.42 100	345.37 107	621.61 83	507.46 76	471.55 74	551.65 96	1078.31 105

ACMH	935.68 4	948.23 97	857.00 97	1054.67 103	946.00 99	970.00 101	1125.00 108	2467.00 106	823.00 102	330.00 97	622.00 101	211.00 85	891.00 100	970.00 100	1061.00 107	569.00 97	1342.00 107
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MVS_111021_LR		1055.24 105	916.36 99	1217.27 106	1129.93 110	1268.26 112	1313.88 113	2635.76 109	923.19 103	396.92 103	704.88 104	327.66 105	1136.32 108	965.38 99	946.95 97	690.83 106	1278.20 106

PatchT		878.42 96	785.05 96	987.36 97	1050.05 108	922.05 99	1111.05 107	677.05 73	950.05 104	1285.90 146	750.05 106	640.05 118	850.05 94	950.05 98	950.05 98	950.05 109	333.05 70

ACMP	1170.86 6	1091.37 106	943.23 100	1264.21 107	1112.10 109	1138.94 110	1276.90 112	2675.36 110	989.62 105	426.15 107	742.77 105	349.09 109	1454.51 114	1047.36 107	969.90 99	640.22 102	1364.94 109
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
ambc			999.00 102		999.00 101	999.00 102	999.00 100		999.00 106	999.00 129	999.00 113	999.00 137	999.00 102	999.00 101	999.00 101	999.00 110	999.00 99

EPMVS		999.00 99	999.00 102	999.00 98	999.00 101	999.00 102	999.00 100	999.00 82	999.00 106	999.00 129	999.00 113	999.00 137	999.00 102	999.00 101	999.00 101	999.00 110	999.00 99

uanet_test		1000.00 100	1000.00 104	1000.00 99	1000.00 103	1000.00 104	1000.00 102	1000.00 83	1000.00 108	1000.00 131	1000.00 115	1000.00 139	1000.00 104	1000.00 103	1000.00 103	1000.00 112	1000.00 101

sosnet		1000.00 100	1000.00 104	1000.00 99	1000.00 103	1000.00 104	1000.00 102	1000.00 83	1000.00 108	1000.00 131	1000.00 115	1000.00 139	1000.00 104	1000.00 103	1000.00 103	1000.00 112	1000.00 101

USDC		1000.00 100	1000.00 104	1000.00 99	1000.00 103	1000.00 104	1000.00 102	1000.00 83	1000.00 108	1000.00 131	1000.00 115	1000.00 139	1000.00 104	1000.00 103	1000.00 103	1000.00 112	1000.00 101

TinyColmap		1000.00 100	1000.00 104	1000.00 99	1000.00 103	1000.00 104	1000.00 102	1000.00 83	1000.00 108	1000.00 131	1000.00 115	1000.00 139	1000.00 104	1000.00 103	1000.00 103	1000.00 112	1000.00 101

TSAR-MVS + GP.		1239.27 107	1094.74 110	1407.89 109	1220.99 111	1845.47 118	1680.98 117	3191.81 112	1098.41 112	362.98 98	679.12 103	339.31 106	1323.06 111	1173.24 111	1093.83 108	667.49 104	1433.78 110

DeepC-MVS_fast	2081.98 8	1311.87 109	1172.50 111	1474.47 110	1411.78 113	1397.23 115	1519.03 115	3401.40 115	1201.29 113	417.90 105	801.95 107	976.25 136	1409.37 112	1114.52 109	1201.12 111	687.33 105	1515.14 113
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ACMMPR		1265.65 108	1083.59 109	1478.06 111	1441.06 114	1438.61 116	1540.68 116	3284.05 114	1219.68 114	458.81 108	803.22 108	346.91 108	1421.66 113	1126.11 110	1150.51 109	722.08 107	1500.09 112

CMPMVS	2507.20 10	2083.60 113	1983.13 117	2200.81 115	2582.70 126	3097.30 129	2332.10 120	4364.50 118	1390.00 115	653.68 115	997.75 112	742.65 125	1880.20 115	2298.80 125	2413.60 129	1391.70 126	2941.80 123
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
tpm cat1		2652.13 124	2606.66 129	2705.18 124	3151.86 132	6902.39 148	3612.17 136	5463.78 127	1457.76 116	391.31 100	1358.61 122	446.44 111	2360.09 122	2296.48 122	2290.90 124	1251.84 118	3494.04 130

CostFormer		2652.13 124	2606.66 129	2705.18 124	3151.86 132	6902.39 148	3612.17 136	5463.78 127	1457.76 116	391.31 100	1358.61 122	446.44 111	2360.09 122	2296.48 122	2290.90 124	1251.84 118	3494.04 130

tpm		2652.13 124	2606.66 129	2705.18 124	3151.86 132	6902.39 148	3612.17 136	5463.78 127	1457.76 116	391.31 100	1358.61 122	446.44 111	2360.09 122	2296.48 122	2290.90 124	1251.84 118	3494.04 130

OpenMVS	2049.89 7	1895.92 111	1721.29 112	2099.67 113	2064.00 117	2419.00 121	2138.00 119	4572.00 120	1541.00 119	548.00 110	937.00 110	580.00 115	1983.00 116	1971.00 119	1993.00 117	1293.00 122	2608.00 118

Vis-MVSNet		2390.77 122	1976.57 116	2874.00 129	2644.00 128	3248.00 132	3040.00 129	7371.00 136	1627.00 120	421.00 106	1200.00 119	622.00 117	2251.00 118	2326.00 126	2052.00 121	1517.00 131	2761.00 122
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
PCF-MVS	3738.24 13	2129.60 114	1746.89 113	2576.10 121	2258.22 122	2263.67 119	2650.06 126	6361.78 132	1676.15 121	695.66 116	1209.77 120	737.88 122	2237.28 117	2083.02 121	1835.31 113	1253.58 121	2422.45 116
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
MVS-HIRNet		1975.98 112	1797.02 114	2184.76 114	2111.07 118	2443.03 122	2503.43 121	4063.71 116	1684.46 122	711.34 117	1456.05 125	848.70 130	2396.26 125	1900.93 114	1915.01 115	1322.75 123	2330.99 115

tpmrst		2688.71 127	2604.46 128	2787.00 127	2472.96 124	3190.36 130	3313.69 132	5003.06 122	1837.26 123	1097.38 141	1721.89 134	1012.20 144	2415.09 126	2970.27 140	2736.80 136	2419.79 145	4762.44 142

SD-MVS		2324.36 120	1910.97 115	2806.65 128	2945.31 130	3305.03 134	3267.51 131	5962.25 131	1896.37 124	848.15 124	1224.25 121	661.55 119	2707.30 129	1913.40 115	1871.41 114	1109.38 117	2504.79 117
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
3Dnovator	2220.89 9	2303.77 119	2037.00 121	2615.00 122	2617.00 127	2967.00 128	2616.00 122	5882.00 130	1928.00 125	589.00 112	907.00 109	528.00 114	2443.00 127	2370.00 127	2392.00 128	1543.00 132	3167.00 125

DeepPCF-MVS	3033.31 11	2362.79 121	2183.15 123	2572.38 120	2349.28 123	2383.16 120	2740.92 127	5212.97 123	2043.02 126	751.44 118	1466.47 126	1327.42 149	2904.33 130	2573.45 132	2227.77 122	1475.33 127	3260.73 127

CHOSEN 280x420		2225.10 115	1992.66 118	2496.28 116	2192.10 119	2641.81 123	2621.41 123	5345.34 124	2116.46 127	1002.26 135	1683.84 130	837.43 126	2338.65 119	1920.94 116	2020.28 118	1477.92 128	2727.86 119

CHOSEN 1792x2688		2225.10 115	1992.66 118	2496.28 116	2192.10 119	2641.81 123	2621.41 123	5345.34 124	2116.46 127	1002.26 135	1683.84 130	837.43 126	2338.65 119	1920.94 116	2020.28 118	1477.92 128	2727.86 119

HyFIR lowres test		2225.10 115	1992.66 118	2496.28 116	2192.10 119	2641.81 123	2621.41 123	5345.34 124	2116.46 127	1002.26 135	1683.84 130	837.43 126	2338.65 119	1920.94 116	2020.28 118	1477.92 128	2727.86 119

AdaColmap		2288.90 118	2080.73 122	2531.77 119	2485.98 125	2757.87 126	2974.47 128	4914.62 121	2255.54 130	804.63 123	1611.14 129	842.30 129	2657.83 128	2056.92 120	1960.62 116	1353.09 125	3080.73 124

DVP-MVS		3258.34 136	2529.80 127	4108.31 140	4005.62 143	4693.14 144	4737.88 147	10195.40 147	2408.38 131	941.44 125	1505.82 127	734.32 121	3438.27 139	2449.15 128	2386.04 127	1331.25 124	3531.75 134
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
SteuartSystems-ACMMP		2615.00 123	2242.57 124	3049.50 130	2828.00 129	2801.00 127	3323.00 133	6648.00 134	2491.00 132	1023.00 138	1605.00 128	697.00 120	2926.00 132	2502.00 129	2279.00 123	1549.00 133	3323.00 129
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+	3173.67 12	2938.77 130	2519.43 126	3428.00 132	3256.00 135	3708.00 138	3443.00 134	7516.00 137	2525.00 133	1121.00 142	972.00 111	925.00 134	3192.00 134	2899.00 135	2897.00 138	2040.00 142	3710.00 136

TSAR-MVS + MP.		4216.58 140	4674.68 142	3682.13 137	3752.63 141	4315.48 142	4264.77 144	7782.51 139	2583.81 134	1125.68 143	16722.30 153	882.60 131	3589.10 140	2523.80 131	2486.45 131	1578.08 134	3208.34 126
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
TAPA-MVS	5463.68 16	2764.21 129	2434.28 125	3149.14 131	3645.15 140	3257.60 133	3452.71 135	6526.32 133	2591.85 135	651.36 114	1964.77 141	947.44 135	2924.41 131	2523.36 130	2452.68 130	1694.86 137	3302.28 128
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + ACMM		3184.92 133	2679.45 134	3774.64 139	3302.51 136	4168.07 140	4256.74 143	8947.31 143	2634.53 136	1026.25 139	1723.72 135	1043.87 145	3387.29 137	2794.29 133	2687.41 133	1727.73 139	3704.25 135

COLMAP_ROB	3798.28 14	2690.62 128	2704.29 135	2674.67 123	3138.00 131	3522.00 137	3826.00 141	3219.00 113	2702.00 137	1138.00 144	2260.00 143	1212.00 148	2968.00 133	2936.00 139	2571.00 132	1759.00 140	3727.00 137
Johannes L. SchÃ¶nberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
DPM-MVS		3051.54 131	2661.57 132	3506.50 133	3532.00 138	3332.00 135	3744.00 139	7839.00 140	2772.00 138	985.00 127	1919.00 139	738.00 123	3319.00 135	2901.00 136	2715.00 134	1620.00 135	4254.00 140

OPM-MVS		3051.54 131	2661.57 132	3506.50 133	3532.00 138	3332.00 135	3744.00 139	7839.00 140	2772.00 138	985.00 127	1919.00 139	738.00 123	3319.00 135	2901.00 136	2715.00 134	1620.00 135	4254.00 140

MVS_111021_HR		3192.50 134	2773.91 136	3680.86 136	3515.58 137	3815.81 139	4020.82 142	7766.11 138	2775.23 140	1300.96 149	2221.19 142	1117.25 147	3420.01 138	2873.98 134	2835.60 137	2061.69 143	3778.31 138

MSP-MVS		3241.28 135	2825.26 137	3726.65 138	3945.31 142	4305.03 141	4267.51 145	6962.25 135	2896.37 141	1068.15 140	1824.25 137	1061.55 146	4307.30 143	3013.40 141	3171.41 140	1809.38 141	3504.79 133
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
SED-MVS		3539.47 138	2909.05 138	4274.95 142	4528.93 146	4986.51 145	5003.31 149	8985.31 144	2904.53 142	1294.24 148	1839.12 138	1003.69 143	4135.17 142	2926.32 138	2897.04 139	1702.75 138	3806.13 139

MAR-MVS		3961.62 139	3726.55 140	4235.86 141	4107.62 145	6522.83 147	4862.93 148	7956.64 142	3380.98 143	1665.13 151	3231.54 147	1650.34 152	4357.29 144	3198.61 142	3209.42 141	2465.52 146	4892.15 143
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
PLC	4785.50 15	3275.54 137	3030.86 139	3561.00 135	4093.00 144	4596.00 143	5174.00 150	4267.00 117	3570.00 144	1495.00 150	2940.00 146	1594.00 151	3947.00 141	3817.00 143	3343.00 142	2390.00 144	1356.00 108
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
MVE	11086.50 18	13278.69 147	12303.57 148	14416.33 149	9890.00 152	17107.00 155	4634.00 146	59884.00 154	3666.00 145	966.00 126	1792.00 136	896.00 133	5680.00 147	20677.00 152	23030.00 151	5444.00 152	18957.00 150
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
DeepC-MVS	5581.15 17	4824.92 142	5020.53 143	4596.70 143	4714.52 147	3205.14 131	3108.50 130	10234.20 148	3823.34 146	1885.23 153	9002.42 150	2045.34 155	4715.23 146	7652.65 147	3993.41 143	2922.51 147	5421.41 144
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
OMC-MVS		4439.92 141	3906.78 141	5061.92 144	4748.70 148	5679.38 146	5855.03 151	9923.00 145	4023.36 147	1740.95 152	1693.78 133	1693.78 153	4658.45 145	4254.77 144	4135.74 144	3445.36 148	5866.63 145

LS3D		7481.83 145	6596.02 146	8515.28 147	9871.71 151	9844.03 153	9225.16 154	18308.40 151	5364.90 148	1267.41 145	2381.61 144	1512.79 150	7225.72 149	8875.69 148	9516.28 147	5193.26 151	8676.83 147

TSAR-MVS + COLMAP		6088.23 143	5315.97 144	6989.21 145	6522.51 149	8025.15 151	7938.31 152	15276.20 149	5401.97 149	1914.31 154	3802.65 148	1979.48 154	6704.11 148	5217.07 145	5137.16 145	3579.82 149	7648.29 146

CLD-MVS		6986.85 144	6222.57 145	7878.50 146	7707.00 150	8884.00 152	9025.00 153	15607.00 150	6148.00 150	2571.00 155	4822.00 149	2082.00 156	7875.00 150	6389.00 146	6449.00 146	4486.00 150	8784.00 148
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
ACMMP		9999.00 146	9999.00 147	9999.00 148	9999.00 153	9999.00 154	9999.00 155	9999.00 146	9999.00 151	9999.00 157	9999.00 151	9999.00 158	9999.00 151	9999.00 149	9999.00 148	9999.00 153	9999.00 149
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		17763.08 148	15907.71 149	19927.67 150	19334.00 155	22387.00 156	22896.00 156	38668.00 152	15772.00 152	7632.00 156	13229.00 152	7123.00 157	19334.00 152	15773.00 150	15700.00 149	11702.00 154	21370.00 151

LTVRE_ROB	38377.89 19	49656.08 150	18936.71 150	85495.33 152	306852.00 158	22526.00 157	29206.00 157	112098.00 156	30022.00 153	17348.00 159	2824.00 145	11239.00 159	29457.00 153	20569.00 151	19941.00 150	18011.00 155	25436.00 152
Andreas Kuhn, Heiko HirschmÃ¼ller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016
MSDG		31705.85 149	29167.57 151	34667.17 151	44079.00 156	28314.00 158	44778.00 158	43648.00 153	31045.00 154	14849.00 158	26179.00 154	13752.00 160	38088.00 154	30859.00 153	30835.00 152	22561.00 156	43189.00 153

PHI-MVS		99999.00 151	99999.00 152	99999.00 153	99999.00 157	99999.00 159	99999.00 159	99999.00 155	99999.00 155	99999.00 160	99999.00 155	99999.00 161	99999.00 155	99999.00 154	99999.00 153	99999.00 157	99999.00 154

ET-MVSNet_ETH3D		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

UniMVSNet_ETH3D		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

thisisatest0530		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

Anonymous202405211			10000000.00 153		10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156		10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

DCV-MVSNet		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

tttt0517		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

thisisatest0515		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

DPE-MVS		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

test_part1		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

thres100view900		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

tfpnnormal		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

tfpn200view9		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

IterMVS-SCA-FT		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

pmmvs6		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

pmmvs5		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

Anonymous20231211		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

pmmvs-eth3d		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

Anonymous20231206		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

SCA		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

canonicalmvs		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

anonymousdsp		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

FC-MVSNet-train		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

UA-Net		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

FC-MVSNet-test		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

sosnet-low-res		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

DI_MVS_plusplus_trai		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

HPM-MVS++		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

pm-mvs1		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

APDe-MVS		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

pmmvs4		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

test-LLR		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

TESTMET0.1,1		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

test-mter		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

testgi		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

test20.03		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

thres600view7		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

MP-MVS		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

thres400		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

test123		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

thres200		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

test0.0.03 1		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

pmmvs3		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

EMVS		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

E-PMN		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

PGM-MVS		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

MCST-MVS		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

PMMVS2		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

PM-MVS		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

LGP-MVS_train		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

EPNet_dtu		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

NCCC		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

CP-MVS		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

NP-MVS									10000000.00 156

CPTT-MVS		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

HQP-MVS		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

IS_MVSNet		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

Vis-MVSNet (Re-imp)		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

PatchMatch-RL		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

TDRefinement		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

EPP-MVSNet		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

PMMVS		10000000.00 152	10000000.00 153	10000000.00 154	10000000.00 159	10000000.00 160	10000000.00 160	10000000.00 157	10000000.00 156	10000000.00 161	10000000.00 156	10000000.00 162	10000000.00 156	10000000.00 155	10000000.00 154	10000000.00 158	10000000.00 155

APD-MVS		1000000000.00 214	1000000000.00 216	1000000000.00 216	1000000000.00 223	1000000000.00 223	1000000000.00 224	1000000000.00 220	1000000000.00 220	1000000000.00 224	1000000000.00 219	1000000000.00 226	1000000000.00 219	1000000000.00 218	1000000000.00 217	1000000000.00 221	1000000000.00 218
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
RE-MVS-def										610.10 113

9.14												0.00 1

SR-MVS					610.10 85			610.10 72				610.10 116

our_test_3					9999.00 153	99.00 56	99.00 55

MTAPA										41.98 56		28.43 51

MTMP										10000000.00 161		31.71 54

Patchmatch-RL test							10000000.00 160

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					10000000.00 159							10000000.00 162

Patchmtry						1825.90 117	885.90 98	1405.90 93		1285.90 146

High-resolution multi-view benchmark