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

CS-MVS-test		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	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

DROMVSNet		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	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 14	0.40 14	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 16	0.40 15	0.40 14	0.40 14	0.40 15	0.40 15

v1921920		0.40 14	0.40 14	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 16	0.40 15	0.40 14	0.40 14	0.40 15	0.40 15

v1192		0.40 14	0.40 14	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 16	0.40 15	0.40 14	0.40 14	0.40 15	0.40 15

v1144		0.40 14	0.40 14	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 16	0.40 15	0.40 14	0.40 14	0.40 15	0.40 15

v148		0.40 14	0.40 14	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 16	0.40 15	0.40 14	0.40 14	0.40 15	0.40 15

v7n		0.40 14	0.40 14	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 16	0.40 15	0.40 14	0.40 14	0.40 15	0.40 15

v1240		0.40 14	0.40 14	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 16	0.40 15	0.40 14	0.40 14	0.40 15	0.40 15

v8		0.40 14	0.40 14	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 16	0.40 15	0.40 14	0.40 14	0.40 15	0.40 15

v10		0.40 14	0.40 14	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 16	0.40 15	0.40 14	0.40 14	0.40 15	0.40 15

v2v482		0.40 14	0.40 14	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 16	0.40 15	0.40 14	0.40 14	0.40 15	0.40 15

V42		0.40 14	0.40 14	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 16	0.40 15	0.40 14	0.40 14	0.40 15	0.40 15

GA-MVS		0.40 14	0.40 14	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 15	0.40 16	0.40 15	0.40 14	0.40 14	0.40 15	0.40 15

Fast-Effi-MVS+		0.41 26	0.41 26	0.41 27	0.41 27	0.41 27	0.41 27	0.41 27	0.41 27	0.41 27	0.41 27	0.41 28	0.41 27	0.41 26	0.41 26	0.41 27	0.41 27

Effi-MVS+		0.53 27	0.53 27	0.53 28	0.53 28	0.53 28	0.53 28	0.53 28	0.53 28	0.53 28	0.53 28	0.53 29	0.53 28	0.53 27	0.53 27	0.53 28	0.53 28

CDS-MVSNet		0.88 28	0.88 28	0.88 29	0.88 29	0.88 29	0.88 29	0.88 29	0.88 29	0.88 29	0.88 29	0.88 30	0.88 29	0.88 28	0.88 28	0.88 29	0.88 29
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS		0.88 28	0.88 28	0.88 29	0.88 29	0.88 29	0.88 29	0.88 29	0.88 29	0.88 29	0.88 29	0.88 30	0.88 29	0.88 28	0.88 28	0.88 29	0.88 29

MDA-MVSNet-bldmvs		1.20 30	1.20 30	1.20 31	1.20 31	1.20 32	1.20 32	1.20 32	1.20 32	1.20 32	1.20 32	1.20 33	1.20 32	1.20 31	1.20 30	1.20 32	1.20 32

CVMVSNet		1.42 31	1.42 31	1.42 32	1.42 32	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 34	1.42 33	1.42 32	1.42 31	1.42 33	1.42 33

EU-MVSNet		1.42 31	1.42 31	1.42 32	1.42 32	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 34	1.42 33	1.42 32	1.42 31	1.42 33	1.42 33

PS-CasMVS		1.42 31	1.42 31	1.42 32	1.42 32	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 34	1.42 33	1.42 32	1.42 31	1.42 33	1.42 33

UniMVSNet_NR-MVSNet		1.42 31	1.42 31	1.42 32	1.42 32	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 34	1.42 33	1.42 32	1.42 31	1.42 33	1.42 33

PEN-MVS		1.42 31	1.42 31	1.42 32	1.42 32	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 34	1.42 33	1.42 32	1.42 31	1.42 33	1.42 33

TransMVSNet (Re)		1.42 31	1.42 31	1.42 32	1.42 32	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 34	1.42 33	1.42 32	1.42 31	1.42 33	1.42 33

DTE-MVSNet		1.42 31	1.42 31	1.42 32	1.42 32	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 34	1.42 33	1.42 32	1.42 31	1.42 33	1.42 33

DU-MVS		1.42 31	1.42 31	1.42 32	1.42 32	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 34	1.42 33	1.42 32	1.42 31	1.42 33	1.42 33

UniMVSNet (Re)		1.42 31	1.42 31	1.42 32	1.42 32	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 34	1.42 33	1.42 32	1.42 31	1.42 33	1.42 33

CP-MVSNet		1.42 31	1.42 31	1.42 32	1.42 32	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 34	1.42 33	1.42 32	1.42 31	1.42 33	1.42 33

WR-MVS_H		1.42 31	1.42 31	1.42 32	1.42 32	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 34	1.42 33	1.42 32	1.42 31	1.42 33	1.42 33

WR-MVS		1.42 31	1.42 31	1.42 32	1.42 32	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 34	1.42 33	1.42 32	1.42 31	1.42 33	1.42 33

NR-MVSNet		1.42 31	1.42 31	1.42 32	1.42 32	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 34	1.42 33	1.42 32	1.42 31	1.42 33	1.42 33

Baseline_NR-MVSNet		1.42 31	1.42 31	1.42 32	1.42 32	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 34	1.42 33	1.42 32	1.42 31	1.42 33	1.42 33

TranMVSNet+NR-MVSNet		1.42 31	1.42 31	1.42 32	1.42 32	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 33	1.42 34	1.42 33	1.42 32	1.42 31	1.42 33	1.42 33

CDPH-MVS		6.66 46	6.66 46	6.66 47	6.66 47	6.66 48	6.66 48	6.66 48	6.66 48	6.66 48	6.66 48	6.66 49	6.66 48	6.66 47	6.66 46	6.66 48	6.66 48

MDTV_nov1_ep13_2view		9.99 47	9.99 47	9.99 48	9.99 48	9.99 49	9.99 49	9.99 49	9.99 49	9.99 51	9.99 49	9.99 52	9.99 49	9.99 48	9.99 47	9.99 49	9.99 49

MDTV_nov1_ep13		9.99 47	9.99 47	9.99 48	9.99 48	9.99 49	9.99 49	9.99 49	9.99 49	9.99 51	9.99 49	9.99 52	9.99 49	9.99 48	9.99 47	9.99 49	9.99 49

test_method		18.19 49	15.64 49	21.17 50	19.00 50	22.00 51	22.50 51	38.00 52	15.50 51	7.50 49	13.00 51	7.00 50	19.00 52	15.50 51	15.50 49	21.00 51	21.00 51

GeoE		20.05 50	18.83 50	21.47 51	25.60 51	29.60 52	22.50 51	31.20 51	19.10 52	8.30 50	13.50 52	9.40 51	17.80 51	14.10 50	17.50 50	23.40 52	28.60 52

GBi-Net		39.84 51	35.75 51	44.63 52	43.04 52	49.88 53	51.06 53	86.51 54	35.34 53	17.20 53	29.83 53	15.85 54	43.43 55	35.35 52	35.70 51	26.51 55	48.28 55

X-MVS		52.20 52	52.20 52	52.20 53	52.20 53	52.20 54	52.20 54	52.20 53	52.20 54	52.20 63	52.20 54	52.20 73	52.20 56	52.20 53	52.20 52	52.20 56	52.20 56

new_pmnet		75.00 53	74.67 53	75.39 54	85.42 56	96.03 58	98.77 57	173.23 55	69.57 55	36.19 54	56.93 55	117.43 77	32.98 53	85.38 61	68.41 53	25.74 53	28.95 53

N_pmnet		75.00 53	74.67 53	75.39 54	85.42 56	96.03 58	98.77 57	173.23 55	69.57 55	36.19 54	56.93 55	117.43 77	32.98 53	85.38 61	68.41 53	25.74 53	28.95 53

CANet		100.44 55	93.07 55	109.04 56	111.90 58	131.06 63	119.40 60	222.42 64	80.48 57	36.93 56	70.80 57	40.92 59	89.90 57	100.59 63	101.42 56	73.68 61	126.25 57

CANet_DTU		100.44 55	93.07 55	109.04 56	111.90 58	131.06 63	119.40 60	222.42 64	80.48 57	36.93 56	70.80 57	40.92 59	89.90 57	100.59 63	101.42 56	73.68 61	126.25 57

MVS_0304		100.44 55	93.07 55	109.04 56	111.90 58	131.06 63	119.40 60	222.42 64	80.48 57	36.93 56	70.80 57	40.92 59	89.90 57	100.59 63	101.42 56	73.68 61	126.25 57

UGNet		100.44 55	93.07 55	109.04 56	111.90 58	131.06 63	119.40 60	222.42 64	80.48 57	36.93 56	70.80 57	40.92 59	89.90 57	100.59 63	101.42 56	73.68 61	126.25 57
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022
FMVSNet5		116.86 59	110.47 61	124.32 60	131.47 64	157.41 67	150.67 66	199.64 57	115.30 64	56.61 69	97.70 66	51.77 63	117.26 61	77.26 54	113.14 62	90.25 68	160.68 64

test1		116.86 59	110.47 61	124.32 60	131.47 64	157.41 67	150.67 66	199.64 57	115.30 64	56.61 69	97.70 66	51.77 63	117.26 61	77.26 54	113.14 62	90.25 68	160.68 64

FMVSNet3		116.86 59	110.47 61	124.32 60	131.47 64	157.41 67	150.67 66	199.64 57	115.30 64	56.61 69	97.70 66	51.77 63	117.26 61	77.26 54	113.14 62	90.25 68	160.68 64

FMVSNet2		116.86 59	110.47 61	124.32 60	131.47 64	157.41 67	150.67 66	199.64 57	115.30 64	56.61 69	97.70 66	51.77 63	117.26 61	77.26 54	113.14 62	90.25 68	160.68 64

FMVSNet1		116.86 59	110.47 61	124.32 60	131.47 64	157.41 67	150.67 66	199.64 57	115.30 64	56.61 69	97.70 66	51.77 63	117.26 61	77.26 54	113.14 62	90.25 68	160.68 64

MIMVSNet1		116.86 59	110.47 61	124.32 60	131.47 64	157.41 67	150.67 66	199.64 57	115.30 64	56.61 69	97.70 66	51.77 63	117.26 61	77.26 54	113.14 62	90.25 68	160.68 64

MIMVSNet		116.86 59	110.47 61	124.32 60	131.47 64	157.41 67	150.67 66	199.64 57	115.30 64	56.61 69	97.70 66	51.77 63	117.26 61	77.26 54	113.14 62	90.25 68	160.68 64

ACMMP_NAP		119.64 66	106.58 59	134.88 67	123.82 62	127.44 61	145.38 64	298.43 72	116.16 71	43.72 61	77.82 61	29.30 56	131.24 68	117.82 70	106.21 60	66.69 59	171.29 71

zzz-MVS		119.64 66	106.58 59	134.88 67	123.82 62	127.44 61	145.38 64	298.43 72	116.16 71	43.72 61	77.82 61	29.30 56	131.24 68	117.82 70	106.21 60	66.69 59	171.29 71

PVSNet_Blended_VisFu		129.22 68	115.76 68	144.92 69	140.60 71	162.80 74	166.50 73	281.20 69	114.70 61	55.50 66	96.20 63	51.80 70	140.60 70	114.70 67	114.70 69	85.10 65	155.40 61

PVSNet_BlendedMVS		129.22 68	115.76 68	144.92 69	140.60 71	162.80 74	166.50 73	281.20 69	114.70 61	55.50 66	96.20 63	51.80 70	140.60 70	114.70 67	114.70 69	85.10 65	155.40 61

PVSNet_Blended		129.22 68	115.76 68	144.92 69	140.60 71	162.80 74	166.50 73	281.20 69	114.70 61	55.50 66	96.20 63	51.80 70	140.60 70	114.70 67	114.70 69	85.10 65	155.40 61

SixPastTwentyTwo		210.90 71	189.75 71	235.58 72	225.41 74	284.88 77	267.17 76	485.88 75	164.28 74	76.51 76	137.62 73	76.69 76	214.49 73	206.28 72	208.00 72	144.02 76	250.52 73

RPSCF		376.53 72	341.80 72	417.05 74	418.60 77	457.01 82	467.46 81	825.25 82	336.12 76	159.32 80	260.40 76	151.13 81	386.94 75	364.25 74	352.10 73	244.72 77	471.62 75

EG-PatchMatch MVS		402.98 73	364.36 73	448.05 75	435.50 78	473.00 83	489.60 82	910.20 83	338.60 77	127.30 77	205.10 74	123.50 79	434.60 76	450.70 78	447.70 76	291.10 79	511.90 76

MS-PatchMatch		438.85 74	388.71 74	497.33 76	479.00 79	527.00 84	558.00 85	988.00 84	379.00 79	174.00 82	278.00 78	162.00 82	494.00 80	418.00 75	412.00 74	291.00 78	545.00 79

ADS-MVSNet		452.36 75	406.02 75	506.42 79	534.76 85	628.22 87	552.79 84	1009.99 91	333.98 75	149.26 78	246.67 75	149.01 80	447.03 78	465.35 79	501.18 79	344.69 82	517.75 77

PatchmatchNet		452.63 76	410.20 76	502.13 78	520.70 84	614.40 85	546.00 83	1018.80 92	379.00 79	167.50 81	277.10 77	169.40 83	437.10 77	437.10 76	457.50 77	322.70 81	536.90 78
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
DELS-MVS		458.84 77	423.31 77	500.30 77	511.99 83	616.59 86	578.86 86	991.10 85	355.79 78	158.99 79	319.09 80	190.62 85	453.64 79	437.73 77	439.52 75	307.20 80	603.81 80
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
dps		534.60 78	472.40 78	607.16 81	690.38 93	718.85 90	636.03 87	1231.66 94	422.74 81	198.65 85	325.68 81	194.97 86	512.90 82	509.81 81	513.65 80	373.33 84	621.11 81

gm-plane-assit		551.84 79	503.49 80	608.24 82	411.90 76	370.41 78	267.30 77	710.53 78	454.42 84	785.72 123	491.23 96	326.12 105	881.92 100	538.27 85	650.05 93	592.08 102	693.94 83

IB-MVS	750.90 3	552.99 80	511.38 84	601.53 80	606.02 88	735.75 92	688.75 90	1183.86 93	436.09 83	210.63 88	397.40 84	233.85 90	551.05 83	521.77 82	533.78 82	368.88 83	721.05 88
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
IterMVS		554.60 81	488.63 79	631.57 86	636.90 90	700.80 88	674.70 89	1271.10 96	430.50 82	207.10 87	370.50 83	202.70 88	611.80 86	534.20 84	545.30 83	387.80 85	636.40 82
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
GG-mvs-BLEND		557.53 82	503.49 80	620.58 83	485.90 80	370.41 78	267.30 77	710.53 78	454.42 84	785.72 123	491.23 96	326.12 105	881.92 100	538.27 85	650.05 93	592.08 102	693.94 83

gg-mvs-nofinetune		557.53 82	503.49 80	620.58 83	485.90 80	370.41 78	267.30 77	710.53 78	454.42 84	785.72 123	491.23 96	326.12 105	881.92 100	538.27 85	650.05 93	592.08 102	693.94 83

CR-MVSNet		557.53 82	503.49 80	620.58 83	485.90 80	370.41 78	267.30 77	710.53 78	454.42 84	785.72 123	491.23 96	326.12 105	881.92 100	538.27 85	650.05 93	592.08 102	693.94 83

Gipuma		587.77 85	529.57 85	655.67 87	637.00 91	733.00 91	749.00 92	1245.00 95	525.00 91	269.00 97	445.00 92	253.00 92	637.00 88	525.00 83	525.00 81	397.00 86	701.00 87
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
MVS_Test		654.54 86	583.51 87	737.40 89	721.80 95	822.10 94	808.60 94	1494.00 98	542.20 93	259.90 91	441.60 86	257.70 94	689.10 90	620.80 90	617.70 85	451.00 91	782.50 90

casdiffmvs		654.54 86	583.51 87	737.40 89	721.80 95	822.10 94	808.60 94	1494.00 98	542.20 93	259.90 91	441.60 86	257.70 94	689.10 90	620.80 90	617.70 85	451.00 91	782.50 90

diffmvs		654.54 86	583.51 87	737.40 89	721.80 95	822.10 94	808.60 94	1494.00 98	542.20 93	259.90 91	441.60 86	257.70 94	689.10 90	620.80 90	617.70 85	451.00 91	782.50 90

baseline2		654.54 86	583.51 87	737.40 89	721.80 95	822.10 94	808.60 94	1494.00 98	542.20 93	259.90 91	441.60 86	257.70 94	689.10 90	620.80 90	617.70 85	451.00 91	782.50 90

baseline1		654.54 86	583.51 87	737.40 89	721.80 95	822.10 94	808.60 94	1494.00 98	542.20 93	259.90 91	441.60 86	257.70 94	689.10 90	620.80 90	617.70 85	451.00 91	782.50 90

baseline		654.54 86	583.51 87	737.40 89	721.80 95	822.10 94	808.60 94	1494.00 98	542.20 93	259.90 91	441.60 86	257.70 94	689.10 90	620.80 90	617.70 85	451.00 91	782.50 90

pmnet_mix02		659.48 92	547.83 86	789.74 96	720.05 94	846.87 100	740.59 91	2153.63 109	456.15 88	191.24 83	336.49 82	200.39 87	511.90 81	608.74 89	634.29 91	421.05 88	751.91 89

ACMH+	702.88 1	670.82 93	589.81 93	765.33 95	662.52 92	701.42 89	795.24 93	1698.33 105	598.81 100	226.55 89	403.02 85	187.13 84	786.82 97	724.80 99	646.56 92	422.52 89	866.95 97

new-patchmatchnet		712.65 94	632.59 94	806.05 99	787.79 101	936.25 104	882.47 101	1795.72 106	528.60 92	244.29 90	471.90 93	257.36 93	681.47 89	705.16 98	659.05 97	444.55 90	869.82 98

IterMVS-LS		714.97 95	638.00 96	804.77 98	793.60 102	914.20 102	886.50 103	1612.70 104	588.30 99	285.30 98	491.20 95	278.40 101	759.20 96	677.40 97	681.30 98	491.30 97	835.20 96
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
CSCG		727.26 96	663.25 97	801.94 97	590.65 87	811.25 93	854.12 100	1805.32 107	816.43 105	388.25 103	612.42 104	345.37 111	621.61 87	507.46 80	471.55 78	551.65 100	1078.31 109

MVSTER		834.63 97	737.03 99	948.49 100	988.86 104	1140.51 115	1129.34 113	1832.80 108	682.42 101	319.01 99	550.98 102	311.35 104	872.51 99	763.95 100	757.83 99	548.41 99	952.20 100

PMVS	743.55 2	836.66 98	637.90 95	1068.55 108	1306.50 116	875.12 101	1166.70 114	2629.00 112	512.24 90	196.22 84	282.69 79	237.15 91	597.87 85	842.47 101	765.54 100	514.99 98	950.09 99
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
RPMNet		858.01 99	961.99 105	736.69 88	550.05 86	1120.24 113	1212.05 115	463.05 74	485.90 89	550.05 115	580.05 103	890.05 136	559.05 84	1485.90 116	1185.90 114	1085.90 120	985.90 102

PatchT		878.42 100	785.05 100	987.36 101	1050.05 112	922.05 103	1111.05 111	677.05 77	950.05 108	1285.90 150	750.05 110	640.05 122	850.05 98	950.05 102	950.05 102	950.05 113	333.05 74

ACMH	935.68 4	948.23 101	857.00 101	1054.67 107	946.00 103	970.00 105	1125.00 112	2467.00 110	823.00 106	330.00 101	622.00 105	211.00 89	891.00 104	970.00 104	1061.00 111	569.00 101	1342.00 111
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++		993.91 102	732.21 98	1299.24 112	1631.22 119	1345.26 117	1480.05 118	2524.20 111	735.65 102	463.57 113	499.89 100	302.78 102	1292.66 114	675.99 96	612.79 84	403.71 87	953.11 101

EPMVS		999.00 103	999.00 106	999.00 102	999.00 105	999.00 106	999.00 104	999.00 86	999.00 110	999.00 133	999.00 117	999.00 141	999.00 106	999.00 105	999.00 105	999.00 114	999.00 103

uanet_test		1000.00 104	1000.00 108	1000.00 103	1000.00 107	1000.00 108	1000.00 106	1000.00 87	1000.00 112	1000.00 135	1000.00 119	1000.00 143	1000.00 108	1000.00 107	1000.00 107	1000.00 116	1000.00 105

sosnet		1000.00 104	1000.00 108	1000.00 103	1000.00 107	1000.00 108	1000.00 106	1000.00 87	1000.00 112	1000.00 135	1000.00 119	1000.00 143	1000.00 108	1000.00 107	1000.00 107	1000.00 116	1000.00 105

USDC		1000.00 104	1000.00 108	1000.00 103	1000.00 107	1000.00 108	1000.00 106	1000.00 87	1000.00 112	1000.00 135	1000.00 119	1000.00 143	1000.00 108	1000.00 107	1000.00 107	1000.00 116	1000.00 105

TinyColmap		1000.00 104	1000.00 108	1000.00 103	1000.00 107	1000.00 108	1000.00 106	1000.00 87	1000.00 112	1000.00 135	1000.00 119	1000.00 143	1000.00 108	1000.00 107	1000.00 107	1000.00 116	1000.00 105

ACMM	1129.18 5	1047.56 108	912.90 102	1204.67 109	1040.21 111	1016.71 112	1105.32 110	2918.67 115	813.91 104	327.22 100	665.34 106	267.72 100	1192.58 113	1091.35 112	991.88 104	643.99 107	1543.40 118
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MVS_111021_LR		1055.24 109	916.36 103	1217.27 110	1129.93 114	1268.26 116	1313.88 117	2635.76 113	923.19 107	396.92 107	704.88 108	327.66 109	1136.32 112	965.38 103	946.95 101	690.83 110	1278.20 110

ACMP	1170.86 6	1091.37 110	943.23 104	1264.21 111	1112.10 113	1138.94 114	1276.90 116	2675.36 114	989.62 109	426.15 111	742.77 109	349.09 113	1454.51 118	1047.36 111	969.90 103	640.22 106	1364.94 113
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
TSAR-MVS + GP.		1239.27 111	1094.74 114	1407.89 113	1220.99 115	1845.47 122	1680.98 121	3191.81 116	1098.41 116	362.98 102	679.12 107	339.31 110	1323.06 115	1173.24 115	1093.83 112	667.49 108	1433.78 114

ACMMPR		1265.65 112	1083.59 113	1478.06 115	1441.06 118	1438.61 120	1540.68 120	3284.05 118	1219.68 118	458.81 112	803.22 112	346.91 112	1421.66 117	1126.11 114	1150.51 113	722.08 111	1500.09 116

DeepC-MVS_fast	2081.98 8	1311.87 113	1172.50 115	1474.47 114	1411.78 117	1397.23 119	1519.03 119	3401.40 119	1201.29 117	417.90 109	801.95 111	976.25 140	1409.37 116	1114.52 113	1201.12 115	687.33 109	1515.14 117
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
FPMVS		1356.65 114	1072.60 112	1688.04 116	1840.79 120	1397.01 118	1793.24 122	4397.86 123	804.66 103	408.78 108	538.65 101	407.36 114	894.84 105	1587.73 117	1286.38 116	792.73 112	1486.39 115

OpenMVS	2049.89 7	1895.92 115	1721.29 116	2099.67 117	2064.00 121	2419.00 125	2138.00 123	4572.00 124	1541.00 123	548.00 114	937.00 114	580.00 119	1983.00 120	1971.00 123	1993.00 121	1293.00 126	2608.00 122

MVS-HIRNet		1975.98 116	1797.02 118	2184.76 118	2111.07 122	2443.03 126	2503.43 125	4063.71 120	1684.46 126	711.34 121	1456.05 129	848.70 134	2396.26 129	1900.93 118	1915.01 119	1322.75 127	2330.99 119

CMPMVS	2507.20 10	2083.60 117	1983.13 121	2200.81 119	2582.70 130	3097.30 133	2332.10 124	4364.50 122	1390.00 119	653.68 119	997.75 116	742.65 129	1880.20 119	2298.80 129	2413.60 133	1391.70 130	2941.80 127
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
PCF-MVS	3738.24 13	2129.60 118	1746.89 117	2576.10 125	2258.22 126	2263.67 123	2650.06 130	6361.78 136	1676.15 125	695.66 120	1209.77 124	737.88 126	2237.28 121	2083.02 125	1835.31 117	1253.58 125	2422.45 120
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CHOSEN 280x420		2225.10 119	1992.66 122	2496.28 120	2192.10 123	2641.81 127	2621.41 127	5345.34 128	2116.46 131	1002.26 139	1683.84 134	837.43 130	2338.65 123	1920.94 120	2020.28 122	1477.92 132	2727.86 123

CHOSEN 1792x2688		2225.10 119	1992.66 122	2496.28 120	2192.10 123	2641.81 127	2621.41 127	5345.34 128	2116.46 131	1002.26 139	1683.84 134	837.43 130	2338.65 123	1920.94 120	2020.28 122	1477.92 132	2727.86 123

HyFIR lowres test		2225.10 119	1992.66 122	2496.28 120	2192.10 123	2641.81 127	2621.41 127	5345.34 128	2116.46 131	1002.26 139	1683.84 134	837.43 130	2338.65 123	1920.94 120	2020.28 122	1477.92 132	2727.86 123

AdaColmap		2288.90 122	2080.73 126	2531.77 123	2485.98 129	2757.87 130	2974.47 132	4914.62 125	2255.54 134	804.63 127	1611.14 133	842.30 133	2657.83 132	2056.92 124	1960.62 120	1353.09 129	3080.73 128

3Dnovator	2220.89 9	2303.77 123	2037.00 125	2615.00 126	2617.00 131	2967.00 132	2616.00 126	5882.00 134	1928.00 129	589.00 116	907.00 113	528.00 118	2443.00 131	2370.00 131	2392.00 132	1543.00 136	3167.00 129

SD-MVS		2324.36 124	1910.97 119	2806.65 132	2945.31 134	3305.03 138	3267.51 135	5962.25 135	1896.37 128	848.15 128	1224.25 125	661.55 123	2707.30 133	1913.40 119	1871.41 118	1109.38 121	2504.79 121
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
DeepPCF-MVS	3033.31 11	2362.79 125	2183.15 127	2572.38 124	2349.28 127	2383.16 124	2740.92 131	5212.97 127	2043.02 130	751.44 122	1466.47 130	1327.42 153	2904.33 134	2573.45 136	2227.77 126	1475.33 131	3260.73 131

Vis-MVSNet		2390.77 126	1976.57 120	2874.00 133	2644.00 132	3248.00 136	3040.00 133	7371.00 140	1627.00 124	421.00 110	1200.00 123	622.00 121	2251.00 122	2326.00 130	2052.00 125	1517.00 135	2761.00 126
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
SteuartSystems-ACMMP		2615.00 127	2242.57 128	3049.50 134	2828.00 133	2801.00 131	3323.00 137	6648.00 138	2491.00 136	1023.00 142	1605.00 132	697.00 124	2926.00 136	2502.00 133	2279.00 127	1549.00 137	3323.00 133
Skip Steuart: Steuart Systems R&D Blog.
tpm cat1		2652.13 128	2606.66 133	2705.18 128	3151.86 136	6902.39 152	3612.17 140	5463.78 131	1457.76 120	391.31 104	1358.61 126	446.44 115	2360.09 126	2296.48 126	2290.90 128	1251.84 122	3494.04 134

CostFormer		2652.13 128	2606.66 133	2705.18 128	3151.86 136	6902.39 152	3612.17 140	5463.78 131	1457.76 120	391.31 104	1358.61 126	446.44 115	2360.09 126	2296.48 126	2290.90 128	1251.84 122	3494.04 134

tpm		2652.13 128	2606.66 133	2705.18 128	3151.86 136	6902.39 152	3612.17 140	5463.78 131	1457.76 120	391.31 104	1358.61 126	446.44 115	2360.09 126	2296.48 126	2290.90 128	1251.84 122	3494.04 134

tpmrst		2688.71 131	2604.46 132	2787.00 131	2472.96 128	3190.36 134	3313.69 136	5003.06 126	1837.26 127	1097.38 145	1721.89 138	1012.20 148	2415.09 130	2970.27 144	2736.80 140	2419.79 149	4762.44 146

COLMAP_ROB	3798.28 14	2690.62 132	2704.29 139	2674.67 127	3138.00 135	3522.00 141	3826.00 145	3219.00 117	2702.00 141	1138.00 148	2260.00 147	1212.00 152	2968.00 137	2936.00 143	2571.00 136	1759.00 144	3727.00 141
Johannes L. SchÃ¶nberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
TAPA-MVS	5463.68 16	2764.21 133	2434.28 129	3149.14 135	3645.15 144	3257.60 137	3452.71 139	6526.32 137	2591.85 139	651.36 118	1964.77 145	947.44 139	2924.41 135	2523.36 134	2452.68 134	1694.86 141	3302.28 132
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
3Dnovator+	3173.67 12	2938.77 134	2519.43 130	3428.00 136	3256.00 139	3708.00 142	3443.00 138	7516.00 141	2525.00 137	1121.00 146	972.00 115	925.00 138	3192.00 138	2899.00 139	2897.00 142	2040.00 146	3710.00 140

DPM-MVS		3051.54 135	2661.57 136	3506.50 137	3532.00 142	3332.00 139	3744.00 143	7839.00 144	2772.00 142	985.00 131	1919.00 143	738.00 127	3319.00 139	2901.00 140	2715.00 138	1620.00 139	4254.00 144

OPM-MVS		3051.54 135	2661.57 136	3506.50 137	3532.00 142	3332.00 139	3744.00 143	7839.00 144	2772.00 142	985.00 131	1919.00 143	738.00 127	3319.00 139	2901.00 140	2715.00 138	1620.00 139	4254.00 144

TSAR-MVS + ACMM		3184.92 137	2679.45 138	3774.64 143	3302.51 140	4168.07 144	4256.74 147	8947.31 147	2634.53 140	1026.25 143	1723.72 139	1043.87 149	3387.29 141	2794.29 137	2687.41 137	1727.73 143	3704.25 139

MVS_111021_HR		3192.50 138	2773.91 140	3680.86 140	3515.58 141	3815.81 143	4020.82 146	7766.11 142	2775.23 144	1300.96 153	2221.19 146	1117.25 151	3420.01 142	2873.98 138	2835.60 141	2061.69 147	3778.31 142

MSP-MVS		3241.28 139	2825.26 141	3726.65 142	3945.31 146	4305.03 145	4267.51 149	6962.25 139	2896.37 145	1068.15 144	1824.25 141	1061.55 150	4307.30 147	3013.40 145	3171.41 144	1809.38 145	3504.79 137
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
DVP-MVS		3258.34 140	2529.80 131	4108.31 144	4005.62 147	4693.14 148	4737.88 151	10195.40 151	2408.38 135	941.44 129	1505.82 131	734.32 125	3438.27 143	2449.15 132	2386.04 131	1331.25 128	3531.75 138
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
PLC	4785.50 15	3275.54 141	3030.86 143	3561.00 139	4093.00 148	4596.00 147	5174.00 154	4267.00 121	3570.00 148	1495.00 154	2940.00 150	1594.00 155	3947.00 145	3817.00 147	3343.00 146	2390.00 148	1356.00 112
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
SED-MVS		3539.47 142	2909.05 142	4274.95 146	4528.93 150	4986.51 149	5003.31 153	8985.31 148	2904.53 146	1294.24 152	1839.12 142	1003.69 147	4135.17 146	2926.32 142	2897.04 143	1702.75 142	3806.13 143

MAR-MVS		3961.62 143	3726.55 144	4235.86 145	4107.62 149	6522.83 151	4862.93 152	7956.64 146	3380.98 147	1665.13 155	3231.54 151	1650.34 156	4357.29 148	3198.61 146	3209.42 145	2465.52 150	4892.15 147
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
TSAR-MVS + MP.		4216.58 144	4674.68 146	3682.13 141	3752.63 145	4315.48 146	4264.77 148	7782.51 143	2583.81 138	1125.68 147	16722.30 157	882.60 135	3589.10 144	2523.80 135	2486.45 135	1578.08 138	3208.34 130
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
OMC-MVS		4439.92 145	3906.78 145	5061.92 148	4748.70 152	5679.38 150	5855.03 155	9923.00 149	4023.36 151	1740.95 156	1693.78 137	1693.78 157	4658.45 149	4254.77 148	4135.74 148	3445.36 152	5866.63 149

DeepC-MVS	5581.15 17	4824.92 146	5020.53 147	4596.70 147	4714.52 151	3205.14 135	3108.50 134	10234.20 152	3823.34 150	1885.23 157	9002.42 154	2045.34 159	4715.23 150	7652.65 151	3993.41 147	2922.51 151	5421.41 148
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
TSAR-MVS + COLMAP		6088.23 147	5315.97 148	6989.21 149	6522.51 153	8025.15 155	7938.31 156	15276.20 153	5401.97 153	1914.31 158	3802.65 152	1979.48 158	6704.11 152	5217.07 149	5137.16 149	3579.82 153	7648.29 150

CLD-MVS		6986.85 148	6222.57 149	7878.50 150	7707.00 154	8884.00 156	9025.00 157	15607.00 154	6148.00 154	2571.00 159	4822.00 153	2082.00 160	7875.00 154	6389.00 150	6449.00 150	4486.00 154	8784.00 152
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D		7481.83 149	6596.02 150	8515.28 151	9871.71 155	9844.03 157	9225.16 158	18308.40 155	5364.90 152	1267.41 149	2381.61 148	1512.79 154	7225.72 153	8875.69 152	9516.28 151	5193.26 155	8676.83 151

ACMMP		9999.00 150	9999.00 151	9999.00 152	9999.00 157	9999.00 158	9999.00 159	9999.00 150	9999.00 155	9999.00 161	9999.00 155	9999.00 162	9999.00 155	9999.00 153	9999.00 152	9999.00 157	9999.00 153
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
MVE	11086.50 18	13278.69 151	12303.57 152	14416.33 153	9890.00 156	17107.00 159	4634.00 150	59884.00 158	3666.00 149	966.00 130	1792.00 140	896.00 137	5680.00 151	20677.00 156	23030.00 155	5444.00 156	18957.00 154
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA		17763.08 152	15907.71 153	19927.67 154	19334.00 159	22387.00 160	22896.00 160	38668.00 156	15772.00 156	7632.00 160	13229.00 156	7123.00 161	19334.00 156	15773.00 154	15700.00 153	11702.00 158	21370.00 155

MSDG		31705.85 153	29167.57 155	34667.17 155	44079.00 160	28314.00 162	44778.00 162	43648.00 157	31045.00 158	14849.00 162	26179.00 158	13752.00 164	38088.00 158	30859.00 157	30835.00 156	22561.00 160	43189.00 157

LTVRE_ROB	38377.89 19	49656.08 154	18936.71 154	85495.33 156	306852.00 162	22526.00 161	29206.00 161	112098.00 160	30022.00 157	17348.00 163	2824.00 149	11239.00 163	29457.00 157	20569.00 155	19941.00 154	18011.00 159	25436.00 156
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
PHI-MVS		99999.00 155	99999.00 156	99999.00 157	99999.00 161	99999.00 163	99999.00 163	99999.00 159	99999.00 159	99999.00 164	99999.00 159	99999.00 165	99999.00 159	99999.00 158	99999.00 157	99999.00 161	99999.00 158

ET-MVSNet_ETH3D		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

UniMVSNet_ETH3D		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

thisisatest0530		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

DCV-MVSNet		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

tttt0517		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

thisisatest0515		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

DPE-MVS		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
test_part1		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

thres100view900		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

tfpnnormal		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

tfpn200view9		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

IterMVS-SCA-FT		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

pmmvs6		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

pmmvs5		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

Anonymous20231211		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

pmmvs-eth3d		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

Anonymous20231206		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

SCA		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

canonicalmvs		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

anonymousdsp		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

FC-MVSNet-train		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

UA-Net		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

FC-MVSNet-test		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

sosnet-low-res		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

DI_MVS_plusplus_trai		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

HPM-MVS++		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

pm-mvs1		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

APDe-MVS		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

pmmvs4		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

test-LLR		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

TESTMET0.1,1		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

test-mter		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

testgi		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

test20.03		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

thres600view7		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

MP-MVS		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

thres400		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

test123		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

thres200		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

test0.0.03 1		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

pmmvs3		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

EMVS		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

E-PMN		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

PGM-MVS		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

MCST-MVS		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

PMMVS2		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

PM-MVS		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

LGP-MVS_train		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

EPNet_dtu		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

NCCC		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

CP-MVS		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

CPTT-MVS		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

HQP-MVS		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

IS_MVSNet		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

Vis-MVSNet (Re-imp)		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

PatchMatch-RL		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

TDRefinement		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

EPP-MVSNet		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

PMMVS		10000000.00 156	10000000.00 157	10000000.00 158	10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160	10000000.00 165	10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

APD-MVS		1000000000.00 218	1000000000.00 220	1000000000.00 220	1000000000.00 227	1000000000.00 227	1000000000.00 228	1000000000.00 224	1000000000.00 224	1000000000.00 228	1000000000.00 223	1000000000.00 230	1000000000.00 223	1000000000.00 222	1000000000.00 221	1000000000.00 225	1000000000.00 222
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
RE-MVS-def										610.10 117

9.14												0.00 1

SR-MVS					610.10 89			610.10 76				610.10 120

Anonymous202405211			10000000.00 157		10000000.00 163	10000000.00 164	10000000.00 164	10000000.00 161	10000000.00 160		10000000.00 160	10000000.00 166	10000000.00 160	10000000.00 159	10000000.00 158	10000000.00 162	10000000.00 159

our_test_3					9999.00 157	99.00 60	99.00 59

ambc			999.00 106		999.00 105	999.00 106	999.00 104		999.00 110	999.00 133	999.00 117	999.00 141	999.00 106	999.00 105	999.00 105	999.00 114	999.00 103

MTAPA										41.98 60		28.43 55

MTMP										10000000.00 165		31.71 58

Patchmatch-RL test							10000000.00 164

tmp_tt				299.50 73	365.00 75	54.00 57	649.00 88	241.00 68	159.00 73	204.00 86	479.00 94	308.00 103	243.00 74	246.00 73	82.00 55	95.00 75

XVS					52.20 53	52.20 54	52.20 54			52.20 63		52.20 73				52.20 56

X-MVStestdata					52.20 53	52.20 54	52.20 54			52.20 63		52.20 73				52.20 56

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

mPP-MVS					10000000.00 163							10000000.00 166

NP-MVS									10000000.00 160

Patchmtry						1825.90 121	885.90 102	1405.90 97		1285.90 150

DeepMVS_CX						1.00 31	1.00 31	1.00 31	1.00 31	1.00 31	1.00 31	1.00 32	1.00 31	1.00 30		1.00 31	1.00 31

High-resolution multi-view benchmark