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.

viewdifsd2359ckpt13		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

viewcassd2359sk11		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

viewdifsd2359ckpt11		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

viewmacassd2359aftdt		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

viewmsd2359difaftdt		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

diffmvs_AUTHOR		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

FE-MVSNET		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

viewmambaseed2359dif		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

viewmanbaseed2359cas		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	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

MVS_0304		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

SPE-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

EC-MVSNet		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	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 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 24	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23

v1921920		0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 24	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23

v1192		0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 24	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23

v1144		0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 24	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23

v148		0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 24	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23

v7n		0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 24	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23

v1240		0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 24	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23

v8		0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 24	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23

v10		0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 24	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23

v2v482		0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 24	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23

V42		0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 24	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23

GA-MVS		0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23	0.40 24	0.40 23	0.40 23	0.40 23	0.40 23	0.40 23

Fast-Effi-MVS+		0.41 35	0.41 35	0.41 35	0.41 35	0.41 35	0.41 35	0.41 35	0.41 35	0.41 35	0.41 35	0.41 36	0.41 35	0.41 35	0.41 35	0.41 35	0.41 35

Effi-MVS+		0.53 36	0.53 36	0.53 36	0.53 36	0.53 36	0.53 36	0.53 36	0.53 36	0.53 36	0.53 36	0.53 37	0.53 36	0.53 36	0.53 36	0.53 36	0.53 36

CDS-MVSNet		0.88 37	0.88 37	0.88 37	0.88 37	0.88 37	0.88 37	0.88 37	0.88 37	0.88 37	0.88 37	0.88 38	0.88 37	0.88 37	0.88 37	0.88 37	0.88 37
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS		0.88 37	0.88 37	0.88 37	0.88 37	0.88 37	0.88 37	0.88 37	0.88 37	0.88 37	0.88 37	0.88 38	0.88 37	0.88 37	0.88 37	0.88 37	0.88 37

MDA-MVSNet-bldmvs		1.20 39	1.20 39	1.20 39	1.20 39	1.20 40	1.20 40	1.20 40	1.20 40	1.20 40	1.20 40	1.20 41	1.20 40	1.20 40	1.20 39	1.20 40	1.20 40

CVMVSNet		1.42 40	1.42 40	1.42 40	1.42 40	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 42	1.42 41	1.42 41	1.42 40	1.42 41	1.42 41

EU-MVSNet		1.42 40	1.42 40	1.42 40	1.42 40	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 42	1.42 41	1.42 41	1.42 40	1.42 41	1.42 41

PS-CasMVS		1.42 40	1.42 40	1.42 40	1.42 40	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 42	1.42 41	1.42 41	1.42 40	1.42 41	1.42 41

UniMVSNet_NR-MVSNet		1.42 40	1.42 40	1.42 40	1.42 40	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 42	1.42 41	1.42 41	1.42 40	1.42 41	1.42 41

PEN-MVS		1.42 40	1.42 40	1.42 40	1.42 40	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 42	1.42 41	1.42 41	1.42 40	1.42 41	1.42 41

TransMVSNet (Re)		1.42 40	1.42 40	1.42 40	1.42 40	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 42	1.42 41	1.42 41	1.42 40	1.42 41	1.42 41

DTE-MVSNet		1.42 40	1.42 40	1.42 40	1.42 40	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 42	1.42 41	1.42 41	1.42 40	1.42 41	1.42 41

DU-MVS		1.42 40	1.42 40	1.42 40	1.42 40	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 42	1.42 41	1.42 41	1.42 40	1.42 41	1.42 41

UniMVSNet (Re)		1.42 40	1.42 40	1.42 40	1.42 40	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 42	1.42 41	1.42 41	1.42 40	1.42 41	1.42 41

CP-MVSNet		1.42 40	1.42 40	1.42 40	1.42 40	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 42	1.42 41	1.42 41	1.42 40	1.42 41	1.42 41

WR-MVS_H		1.42 40	1.42 40	1.42 40	1.42 40	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 42	1.42 41	1.42 41	1.42 40	1.42 41	1.42 41

WR-MVS		1.42 40	1.42 40	1.42 40	1.42 40	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 42	1.42 41	1.42 41	1.42 40	1.42 41	1.42 41

NR-MVSNet		1.42 40	1.42 40	1.42 40	1.42 40	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 42	1.42 41	1.42 41	1.42 40	1.42 41	1.42 41

Baseline_NR-MVSNet		1.42 40	1.42 40	1.42 40	1.42 40	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 42	1.42 41	1.42 41	1.42 40	1.42 41	1.42 41

TranMVSNet+NR-MVSNet		1.42 40	1.42 40	1.42 40	1.42 40	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 41	1.42 42	1.42 41	1.42 41	1.42 40	1.42 41	1.42 41

CDPH-MVS		6.66 55	6.66 55	6.66 55	6.66 55	6.66 56	6.66 56	6.66 56	6.66 56	6.66 56	6.66 56	6.66 57	6.66 56	6.66 56	6.66 55	6.66 56	6.66 56

MDTV_nov1_ep13_2view		9.99 56	9.99 56	9.99 56	9.99 56	9.99 57	9.99 57	9.99 57	9.99 57	9.99 59	9.99 57	9.99 60	9.99 57	9.99 57	9.99 56	9.99 57	9.99 57

MDTV_nov1_ep13		9.99 56	9.99 56	9.99 56	9.99 56	9.99 57	9.99 57	9.99 57	9.99 57	9.99 59	9.99 57	9.99 60	9.99 57	9.99 57	9.99 56	9.99 57	9.99 57

test_method		18.19 58	15.64 58	21.17 58	19.00 58	22.00 59	22.50 59	38.00 60	15.50 59	7.50 57	13.00 59	7.00 58	19.00 60	15.50 60	15.50 58	21.00 59	21.00 59

GeoE		20.05 59	18.83 59	21.47 59	25.60 59	29.60 60	22.50 59	31.20 59	19.10 60	8.30 58	13.50 60	9.40 59	17.80 59	14.10 59	17.50 59	23.40 60	28.60 60

GBi-Net		39.84 60	35.75 60	44.63 60	43.04 60	49.88 61	51.06 61	86.51 62	35.34 61	17.20 61	29.83 61	15.85 62	43.43 63	35.35 61	35.70 60	26.51 63	48.28 63

X-MVS		52.20 61	52.20 61	52.20 61	52.20 61	52.20 62	52.20 62	52.20 61	52.20 62	52.20 69	52.20 62	52.20 79	52.20 64	52.20 62	52.20 61	52.20 64	52.20 64

new_pmnet		75.00 62	74.67 62	75.39 62	85.42 64	96.03 66	98.77 65	173.23 63	69.57 63	36.19 62	56.93 63	117.43 85	32.98 61	85.38 70	68.41 62	25.74 61	28.95 61

N_pmnet		75.00 62	74.67 62	75.39 62	85.42 64	96.03 66	98.77 65	173.23 63	69.57 63	36.19 62	56.93 63	117.43 85	32.98 61	85.38 70	68.41 62	25.74 61	28.95 61

CANet		100.44 64	93.07 64	109.04 64	111.90 66	131.06 70	119.40 68	222.42 72	80.48 65	36.93 64	70.80 65	40.92 66	89.90 65	100.59 72	101.42 65	73.68 68	126.25 65

CANet_DTU		100.44 64	93.07 64	109.04 64	111.90 66	131.06 70	119.40 68	222.42 72	80.48 65	36.93 64	70.80 65	40.92 66	89.90 65	100.59 72	101.42 65	73.68 68	126.25 65

UGNet		100.44 64	93.07 64	109.04 64	111.90 66	131.06 70	119.40 68	222.42 72	80.48 65	36.93 64	70.80 65	40.92 66	89.90 65	100.59 72	101.42 65	73.68 68	126.25 65
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 67	110.47 68	124.32 67	131.47 70	157.41 73	150.67 72	199.64 65	115.30 71	56.61 75	97.70 72	51.77 69	117.26 68	77.26 63	113.14 69	90.25 74	160.68 71

test1		116.86 67	110.47 68	124.32 67	131.47 70	157.41 73	150.67 72	199.64 65	115.30 71	56.61 75	97.70 72	51.77 69	117.26 68	77.26 63	113.14 69	90.25 74	160.68 71

FMVSNet3		116.86 67	110.47 68	124.32 67	131.47 70	157.41 73	150.67 72	199.64 65	115.30 71	56.61 75	97.70 72	51.77 69	117.26 68	77.26 63	113.14 69	90.25 74	160.68 71

FMVSNet2		116.86 67	110.47 68	124.32 67	131.47 70	157.41 73	150.67 72	199.64 65	115.30 71	56.61 75	97.70 72	51.77 69	117.26 68	77.26 63	113.14 69	90.25 74	160.68 71

FMVSNet1		116.86 67	110.47 68	124.32 67	131.47 70	157.41 73	150.67 72	199.64 65	115.30 71	56.61 75	97.70 72	51.77 69	117.26 68	77.26 63	113.14 69	90.25 74	160.68 71

MIMVSNet1		116.86 67	110.47 68	124.32 67	131.47 70	157.41 73	150.67 72	199.64 65	115.30 71	56.61 75	97.70 72	51.77 69	117.26 68	77.26 63	113.14 69	90.25 74	160.68 71

MIMVSNet		116.86 67	110.47 68	124.32 67	131.47 70	157.41 73	150.67 72	199.64 65	115.30 71	56.61 75	97.70 72	51.77 69	117.26 68	77.26 63	113.14 69	90.25 74	160.68 71

ACMMP_NAP		119.64 74	106.58 67	134.88 74	123.82 69	127.44 69	145.38 71	298.43 79	116.16 78	43.72 68	77.82 68	29.30 64	131.24 75	117.82 78	106.21 68	66.69 67	171.29 78

PVSNet_Blended_VisFu		129.22 75	115.76 75	144.92 75	140.60 77	162.80 80	166.50 79	281.20 76	114.70 68	55.50 72	96.20 69	51.80 76	140.60 76	114.70 75	114.70 76	85.10 71	155.40 68

PVSNet_BlendedMVS		129.22 75	115.76 75	144.92 75	140.60 77	162.80 80	166.50 79	281.20 76	114.70 68	55.50 72	96.20 69	51.80 76	140.60 76	114.70 75	114.70 76	85.10 71	155.40 68

PVSNet_Blended		129.22 75	115.76 75	144.92 75	140.60 77	162.80 80	166.50 79	281.20 76	114.70 68	55.50 72	96.20 69	51.80 76	140.60 76	114.70 75	114.70 76	85.10 71	155.40 68

FA-MVS(training)		203.85 78	180.15 78	231.50 78	222.82 80	259.22 83	245.99 82	478.61 81	172.32 81	82.03 83	130.35 79	72.14 82	221.74 80	190.35 79	197.39 79	137.78 82	239.26 79

SixPastTwentyTwo		210.90 79	189.75 79	235.58 79	225.41 81	284.88 84	267.17 83	485.88 82	164.28 80	76.51 82	137.62 80	76.69 83	214.49 79	206.28 80	208.00 80	144.02 83	250.52 80

WB-MVS		316.93 80	277.98 80	362.37 81	386.49 83	371.32 89	360.90 88	844.52 90	232.58 82	102.36 84	215.57 82	104.13 84	287.33 82	336.96 82	318.49 81	192.62 84	366.78 82

RPSCF		376.53 81	341.80 81	417.05 82	418.60 85	457.01 90	467.46 89	825.25 89	336.12 84	159.32 88	260.40 84	151.13 89	386.94 83	364.25 83	352.10 82	244.72 85	471.62 83

EG-PatchMatch MVS		402.98 82	364.36 82	448.05 83	435.50 86	473.00 91	489.60 90	910.20 91	338.60 85	127.30 85	205.10 81	123.50 87	434.60 84	450.70 87	447.70 85	291.10 87	511.90 84

MS-PatchMatch		438.85 83	388.71 83	497.33 84	479.00 87	527.00 92	558.00 93	988.00 92	379.00 87	174.00 90	278.00 86	162.00 90	494.00 88	418.00 84	412.00 83	291.00 86	545.00 87

ADS-MVSNet		452.36 84	406.02 84	506.42 87	534.76 93	628.22 95	552.79 92	1009.99 99	333.98 83	149.26 86	246.67 83	149.01 88	447.03 86	465.35 88	501.18 88	344.69 90	517.75 85

PatchmatchNet		452.63 85	410.20 85	502.13 86	520.70 92	614.40 93	546.00 91	1018.80 100	379.00 87	167.50 89	277.10 85	169.40 91	437.10 85	437.10 85	457.50 86	322.70 89	536.90 86
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
DELS-MVS		458.84 86	423.31 86	500.30 85	511.99 91	616.59 94	578.86 94	991.10 93	355.79 86	158.99 87	319.09 88	190.62 93	453.64 87	437.73 86	439.52 84	307.20 88	603.81 88
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 87	472.40 87	607.16 89	690.38 101	718.85 98	636.03 95	1231.66 102	422.74 89	198.65 93	325.68 89	194.97 94	512.90 90	509.81 90	513.65 89	373.33 92	621.11 89

gm-plane-assit		551.84 88	503.49 89	608.24 90	411.90 84	370.41 85	267.30 84	710.53 85	454.42 92	785.72 132	491.23 105	326.12 114	881.92 109	538.27 94	650.05 103	592.08 111	693.94 91

IB-MVS	750.90 3	552.99 89	511.38 93	601.53 88	606.02 96	735.75 100	688.75 98	1183.86 101	436.09 91	210.63 96	397.40 92	233.85 98	551.05 91	521.77 91	533.78 91	368.88 91	721.05 96
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 90	488.63 88	631.57 94	636.90 98	700.80 96	674.70 97	1271.10 104	430.50 90	207.10 95	370.50 91	202.70 96	611.80 94	534.20 93	545.30 92	387.80 93	636.40 90
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
GG-mvs-BLEND		557.53 91	503.49 89	620.58 91	485.90 88	370.41 85	267.30 84	710.53 85	454.42 92	785.72 132	491.23 105	326.12 114	881.92 109	538.27 94	650.05 103	592.08 111	693.94 91

gg-mvs-nofinetune		557.53 91	503.49 89	620.58 91	485.90 88	370.41 85	267.30 84	710.53 85	454.42 92	785.72 132	491.23 105	326.12 114	881.92 109	538.27 94	650.05 103	592.08 111	693.94 91

CR-MVSNet		557.53 91	503.49 89	620.58 91	485.90 88	370.41 85	267.30 84	710.53 85	454.42 92	785.72 132	491.23 105	326.12 114	881.92 109	538.27 94	650.05 103	592.08 111	693.94 91

Gipuma		587.77 94	529.57 94	655.67 95	637.00 99	733.00 99	749.00 100	1245.00 103	525.00 99	269.00 106	445.00 101	253.00 100	637.00 96	525.00 92	525.00 90	397.00 94	701.00 95
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
MVS_Test		654.54 95	583.51 96	737.40 97	721.80 103	822.10 102	808.60 102	1494.00 106	542.20 101	259.90 99	441.60 94	257.70 102	689.10 98	620.80 99	617.70 94	451.00 99	782.50 98

casdiffmvs		654.54 95	583.51 96	737.40 97	721.80 103	822.10 102	808.60 102	1494.00 106	542.20 101	259.90 99	441.60 94	257.70 102	689.10 98	620.80 99	617.70 94	451.00 99	782.50 98
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
diffmvs		654.54 95	583.51 96	737.40 97	721.80 103	822.10 102	808.60 102	1494.00 106	542.20 101	259.90 99	441.60 94	257.70 102	689.10 98	620.80 99	617.70 94	451.00 99	782.50 98
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
baseline2		654.54 95	583.51 96	737.40 97	721.80 103	822.10 102	808.60 102	1494.00 106	542.20 101	259.90 99	441.60 94	257.70 102	689.10 98	620.80 99	617.70 94	451.00 99	782.50 98

baseline1		654.54 95	583.51 96	737.40 97	721.80 103	822.10 102	808.60 102	1494.00 106	542.20 101	259.90 99	441.60 94	257.70 102	689.10 98	620.80 99	617.70 94	451.00 99	782.50 98

casdiffmvs_mvg		654.54 95	583.51 96	737.40 97	721.80 103	822.10 102	808.60 102	1494.00 106	542.20 101	259.90 99	441.60 94	257.70 102	689.10 98	620.80 99	617.70 94	451.00 99	782.50 98
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
baseline		654.54 95	583.51 96	737.40 97	721.80 103	822.10 102	808.60 102	1494.00 106	542.20 101	259.90 99	441.60 94	257.70 102	689.10 98	620.80 99	617.70 94	451.00 99	782.50 98

pmnet_mix02		659.48 102	547.83 95	789.74 105	720.05 102	846.87 109	740.59 99	2153.63 118	456.15 96	191.24 91	336.49 90	200.39 95	511.90 89	608.74 98	634.29 101	421.05 96	751.91 97

ACMH+	702.88 1	670.82 103	589.81 103	765.33 104	662.52 100	701.42 97	795.24 101	1698.33 114	598.81 109	226.55 97	403.02 93	187.13 92	786.82 106	724.80 109	646.56 102	422.52 97	866.95 106

new-patchmatchnet		712.65 104	632.59 104	806.05 108	787.79 110	936.25 113	882.47 110	1795.72 115	528.60 100	244.29 98	471.90 102	257.36 101	681.47 97	705.16 108	659.05 107	444.55 98	869.82 107

IterMVS-LS		714.97 105	638.00 106	804.77 107	793.60 111	914.20 111	886.50 112	1612.70 113	588.30 108	285.30 107	491.20 104	278.40 110	759.20 105	677.40 107	681.30 108	491.30 106	835.20 105
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
CSCG		727.26 106	663.25 107	801.94 106	590.65 95	811.25 101	854.12 109	1805.32 116	816.43 114	388.25 112	612.42 113	345.37 120	621.61 95	507.46 89	471.55 87	551.65 109	1078.31 118

MVSTER		834.63 107	737.03 109	948.49 109	988.86 113	1140.51 124	1129.34 122	1832.80 117	682.42 110	319.01 108	550.98 111	311.35 113	872.51 108	763.95 110	757.83 109	548.41 108	952.20 109

PMVS	743.55 2	836.66 108	637.90 105	1068.55 117	1306.50 125	875.12 110	1166.70 123	2629.00 121	512.24 98	196.22 92	282.69 87	237.15 99	597.87 93	842.47 111	765.54 110	514.99 107	950.09 108
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
RPMNet		858.01 109	961.99 115	736.69 96	550.05 94	1120.24 122	1212.05 124	463.05 80	485.90 97	550.05 124	580.05 112	890.05 145	559.05 92	1485.90 126	1185.90 124	1085.90 129	985.90 111

PatchT		878.42 110	785.05 110	987.36 110	1050.05 121	922.05 112	1111.05 120	677.05 84	950.05 117	1285.90 160	750.05 119	640.05 131	850.05 107	950.05 112	950.05 112	950.05 122	333.05 81

ACMH	935.68 4	948.23 111	857.00 111	1054.67 116	946.00 112	970.00 114	1125.00 121	2467.00 119	823.00 115	330.00 110	622.00 114	211.00 97	891.00 113	970.00 114	1061.00 121	569.00 110	1342.00 120
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++		993.91 112	732.21 108	1299.24 121	1631.22 128	1345.26 126	1480.05 127	2524.20 120	735.65 111	463.57 122	499.89 109	302.78 111	1292.66 123	675.99 106	612.79 93	403.71 95	953.11 110

EPMVS		999.00 113	999.00 116	999.00 111	999.00 114	999.00 115	999.00 113	999.00 94	999.00 119	999.00 142	999.00 126	999.00 151	999.00 115	999.00 115	999.00 115	999.00 123	999.00 112

uanet_test		1000.00 114	1000.00 118	1000.00 112	1000.00 116	1000.00 117	1000.00 115	1000.00 95	1000.00 121	1000.00 144	1000.00 128	1000.00 153	1000.00 117	1000.00 117	1000.00 117	1000.00 125	1000.00 114

sosnet		1000.00 114	1000.00 118	1000.00 112	1000.00 116	1000.00 117	1000.00 115	1000.00 95	1000.00 121	1000.00 144	1000.00 128	1000.00 153	1000.00 117	1000.00 117	1000.00 117	1000.00 125	1000.00 114

USDC		1000.00 114	1000.00 118	1000.00 112	1000.00 116	1000.00 117	1000.00 115	1000.00 95	1000.00 121	1000.00 144	1000.00 128	1000.00 153	1000.00 117	1000.00 117	1000.00 117	1000.00 125	1000.00 114

TinyColmap		1000.00 114	1000.00 118	1000.00 112	1000.00 116	1000.00 117	1000.00 115	1000.00 95	1000.00 121	1000.00 144	1000.00 128	1000.00 153	1000.00 117	1000.00 117	1000.00 117	1000.00 125	1000.00 114

ACMM	1129.18 5	1047.56 118	912.90 112	1204.67 118	1040.21 120	1016.71 121	1105.32 119	2918.67 124	813.91 113	327.22 109	665.34 115	267.72 109	1192.58 122	1091.35 122	991.88 114	643.99 116	1543.40 127
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MVS_111021_LR		1055.24 119	916.36 113	1217.27 119	1129.93 123	1268.26 125	1313.88 126	2635.76 122	923.19 116	396.92 116	704.88 117	327.66 118	1136.32 121	965.38 113	946.95 111	690.83 119	1278.20 119

ACMP	1170.86 6	1091.37 120	943.23 114	1264.21 120	1112.10 122	1138.94 123	1276.90 125	2675.36 123	989.62 118	426.15 120	742.77 118	349.09 122	1454.51 127	1047.36 121	969.90 113	640.22 115	1364.94 122
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
TSAR-MVS + GP.		1239.27 121	1094.74 124	1407.89 122	1220.99 124	1845.47 131	1680.98 130	3191.81 125	1098.41 125	362.98 111	679.12 116	339.31 119	1323.06 124	1173.24 125	1093.83 122	667.49 117	1433.78 123

ACMMPR		1265.65 122	1083.59 123	1478.06 124	1441.06 127	1438.61 129	1540.68 129	3284.05 127	1219.68 127	458.81 121	803.22 121	346.91 121	1421.66 126	1126.11 124	1150.51 123	722.08 120	1500.09 125

DeepC-MVS_fast	2081.98 8	1311.87 123	1172.50 125	1474.47 123	1411.78 126	1397.23 128	1519.03 128	3401.40 128	1201.29 126	417.90 118	801.95 120	976.25 150	1409.37 125	1114.52 123	1201.12 125	687.33 118	1515.14 126
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
FPMVS		1356.65 124	1072.60 122	1688.04 125	1840.79 129	1397.01 127	1793.24 131	4397.86 132	804.66 112	408.78 117	538.65 110	407.36 123	894.84 114	1587.73 127	1286.38 126	792.73 121	1486.39 124

OpenMVS	2049.89 7	1895.92 125	1721.29 126	2099.67 126	2064.00 130	2419.00 134	2138.00 132	4572.00 133	1541.00 132	548.00 123	937.00 123	580.00 128	1983.00 129	1971.00 133	1993.00 131	1293.00 135	2608.00 131

MVS-HIRNet		1975.98 126	1797.02 128	2184.76 127	2111.07 131	2443.03 135	2503.43 134	4063.71 129	1684.46 135	711.34 130	1456.05 138	848.70 143	2396.26 138	1900.93 128	1915.01 129	1322.75 136	2330.99 128

CMPMVS	2507.20 10	2083.60 127	1983.13 131	2200.81 128	2582.70 139	3097.30 142	2332.10 133	4364.50 131	1390.00 128	653.68 128	997.75 125	742.65 138	1880.20 128	2298.80 139	2413.60 143	1391.70 139	2941.80 136
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
PCF-MVS	3738.24 13	2129.60 128	1746.89 127	2576.10 134	2258.22 135	2263.67 132	2650.06 139	6361.78 145	1676.15 134	695.66 129	1209.77 133	737.88 135	2237.28 130	2083.02 135	1835.31 127	1253.58 134	2422.45 129
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CHOSEN 280x420		2225.10 129	1992.66 132	2496.28 129	2192.10 132	2641.81 136	2621.41 136	5345.34 137	2116.46 140	1002.26 148	1683.84 143	837.43 139	2338.65 132	1920.94 130	2020.28 132	1477.92 141	2727.86 132

CHOSEN 1792x2688		2225.10 129	1992.66 132	2496.28 129	2192.10 132	2641.81 136	2621.41 136	5345.34 137	2116.46 140	1002.26 148	1683.84 143	837.43 139	2338.65 132	1920.94 130	2020.28 132	1477.92 141	2727.86 132

HyFIR lowres test		2225.10 129	1992.66 132	2496.28 129	2192.10 132	2641.81 136	2621.41 136	5345.34 137	2116.46 140	1002.26 148	1683.84 143	837.43 139	2338.65 132	1920.94 130	2020.28 132	1477.92 141	2727.86 132

AdaColmap		2288.90 132	2080.73 136	2531.77 132	2485.98 138	2757.87 139	2974.47 141	4914.62 134	2255.54 143	804.63 136	1611.14 142	842.30 142	2657.83 141	2056.92 134	1960.62 130	1353.09 138	3080.73 137

3Dnovator	2220.89 9	2303.77 133	2037.00 135	2615.00 135	2617.00 140	2967.00 141	2616.00 135	5882.00 143	1928.00 138	589.00 125	907.00 122	528.00 127	2443.00 140	2370.00 141	2392.00 142	1543.00 145	3167.00 138

SD-MVS		2324.36 134	1910.97 129	2806.65 141	2945.31 143	3305.03 147	3267.51 144	5962.25 144	1896.37 137	848.15 137	1224.25 134	661.55 132	2707.30 142	1913.40 129	1871.41 128	1109.38 130	2504.79 130
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	2362.79 135	2183.15 137	2572.38 133	2349.28 136	2383.16 133	2740.92 140	5212.97 136	2043.02 139	751.44 131	1466.47 139	1327.42 163	2904.33 143	2573.45 146	2227.77 136	1475.33 140	3260.73 140

Vis-MVSNet		2390.77 136	1976.57 130	2874.00 142	2644.00 141	3248.00 145	3040.00 142	7371.00 149	1627.00 133	421.00 119	1200.00 132	622.00 130	2251.00 131	2326.00 140	2052.00 135	1517.00 144	2761.00 135
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
SteuartSystems-ACMMP		2615.00 137	2242.57 138	3049.50 143	2828.00 142	2801.00 140	3323.00 146	6648.00 147	2491.00 145	1023.00 151	1605.00 141	697.00 133	2926.00 145	2502.00 143	2279.00 137	1549.00 146	3323.00 142
Skip Steuart: Steuart Systems R&D Blog.
tpm cat1		2652.13 138	2606.66 143	2705.18 137	3151.86 145	6902.39 162	3612.17 149	5463.78 140	1457.76 129	391.31 113	1358.61 135	446.44 124	2360.09 135	2296.48 136	2290.90 138	1251.84 131	3494.04 143

CostFormer		2652.13 138	2606.66 143	2705.18 137	3151.86 145	6902.39 162	3612.17 149	5463.78 140	1457.76 129	391.31 113	1358.61 135	446.44 124	2360.09 135	2296.48 136	2290.90 138	1251.84 131	3494.04 143

tpm		2652.13 138	2606.66 143	2705.18 137	3151.86 145	6902.39 162	3612.17 149	5463.78 140	1457.76 129	391.31 113	1358.61 135	446.44 124	2360.09 135	2296.48 136	2290.90 138	1251.84 131	3494.04 143

tpmrst		2688.71 141	2604.46 142	2787.00 140	2472.96 137	3190.36 143	3313.69 145	5003.06 135	1837.26 136	1097.38 154	1721.89 147	1012.20 158	2415.09 139	2970.27 154	2736.80 150	2419.79 159	4762.44 156

COLMAP_ROB	3798.28 14	2690.62 142	2704.29 149	2674.67 136	3138.00 144	3522.00 150	3826.00 154	3219.00 126	2702.00 150	1138.00 158	2260.00 157	1212.00 162	2968.00 146	2936.00 153	2571.00 146	1759.00 154	3727.00 150
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	2764.21 143	2434.28 139	3149.14 144	3645.15 153	3257.60 146	3452.71 148	6526.32 146	2591.85 148	651.36 127	1964.77 155	947.44 148	2924.41 144	2523.36 144	2452.68 144	1694.86 151	3302.28 141
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
3Dnovator+	3173.67 12	2938.77 144	2519.43 140	3428.00 145	3256.00 148	3708.00 151	3443.00 147	7516.00 150	2525.00 146	1121.00 155	972.00 124	925.00 147	3192.00 147	2899.00 149	2897.00 153	2040.00 156	3710.00 149

DPM-MVS		3051.54 145	2661.57 146	3506.50 146	3532.00 151	3332.00 148	3744.00 152	7839.00 153	2772.00 151	985.00 140	1919.00 153	738.00 136	3319.00 148	2901.00 150	2715.00 148	1620.00 149	4254.00 153

OPM-MVS		3051.54 145	2661.57 146	3506.50 146	3532.00 151	3332.00 148	3744.00 152	7839.00 153	2772.00 151	985.00 140	1919.00 153	738.00 136	3319.00 148	2901.00 150	2715.00 148	1620.00 149	4254.00 153
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
TSAR-MVS + ACMM		3184.92 147	2679.45 148	3774.64 152	3302.51 149	4168.07 153	4256.74 156	8947.31 156	2634.53 149	1026.25 152	1723.72 148	1043.87 159	3387.29 150	2794.29 147	2687.41 147	1727.73 153	3704.25 148

MVS_111021_HR		3192.50 148	2773.91 150	3680.86 149	3515.58 150	3815.81 152	4020.82 155	7766.11 151	2775.23 153	1300.96 163	2221.19 156	1117.25 161	3420.01 151	2873.98 148	2835.60 151	2061.69 157	3778.31 151

MSP-MVS		3241.28 149	2825.26 151	3726.65 151	3945.31 155	4305.03 154	4267.51 158	6962.25 148	2896.37 154	1068.15 153	1824.25 150	1061.55 160	4307.30 157	3013.40 155	3171.41 155	1809.38 155	3504.79 146
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		3258.34 150	2529.80 141	4108.31 153	4005.62 156	4693.14 157	4737.88 160	10195.40 160	2408.38 144	941.44 138	1505.82 140	734.32 134	3438.27 152	2449.15 142	2386.04 141	1331.25 137	3531.75 147
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	3275.54 151	3030.86 153	3561.00 148	4093.00 157	4596.00 156	5174.00 163	4267.00 130	3570.00 158	1495.00 164	2940.00 160	1594.00 165	3947.00 154	3817.00 158	3343.00 157	2390.00 158	1356.00 121
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
SED-MVS		3539.47 152	2909.05 152	4274.95 155	4528.93 159	4986.51 158	5003.31 162	8985.31 157	2904.53 155	1294.24 162	1839.12 151	1003.69 157	4135.17 155	2926.32 152	2897.04 154	1702.75 152	3806.13 152

MAR-MVS		3961.62 153	3726.55 155	4235.86 154	4107.62 158	6522.83 161	4862.93 161	7956.64 155	3380.98 157	1665.13 165	3231.54 161	1650.34 166	4357.29 158	3198.61 157	3209.42 156	2465.52 160	4892.15 157
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
DVP-MVS++		3961.71 154	3092.38 154	4975.92 157	4850.81 162	5691.32 160	5760.96 164	12294.80 162	2980.85 156	1135.72 157	1840.86 152	949.63 149	4197.95 156	3019.10 156	2873.21 152	1615.27 148	4291.72 155

TSAR-MVS + MP.		4216.58 155	4674.68 157	3682.13 150	3752.63 154	4315.48 155	4264.77 157	7782.51 152	2583.81 147	1125.68 156	16722.30 167	882.60 144	3589.10 153	2523.80 145	2486.45 145	1578.08 147	3208.34 139
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
OMC-MVS		4439.92 156	3906.78 156	5061.92 158	4748.70 161	5679.38 159	5855.03 165	9923.00 158	4023.36 161	1740.95 166	1693.78 146	1693.78 167	4658.45 159	4254.77 159	4135.74 159	3445.36 162	5866.63 159

DeepC-MVS	5581.15 17	4824.92 157	5020.53 158	4596.70 156	4714.52 160	3205.14 144	3108.50 143	10234.20 161	3823.34 160	1885.23 167	9002.42 164	2045.34 169	4715.23 160	7652.65 162	3993.41 158	2922.51 161	5421.41 158
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		6088.23 158	5315.97 159	6989.21 159	6522.51 163	8025.15 165	7938.31 166	15276.20 163	5401.97 163	1914.31 168	3802.65 162	1979.48 168	6704.11 162	5217.07 160	5137.16 160	3579.82 163	7648.29 160

CLD-MVS		6986.85 159	6222.57 160	7878.50 160	7707.00 164	8884.00 166	9025.00 167	15607.00 164	6148.00 164	2571.00 169	4822.00 163	2082.00 170	7875.00 164	6389.00 161	6449.00 161	4486.00 164	8784.00 162
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D		7481.83 160	6596.02 161	8515.28 161	9871.71 165	9844.03 167	9225.16 168	18308.40 165	5364.90 162	1267.41 159	2381.61 158	1512.79 164	7225.72 163	8875.69 163	9516.28 162	5193.26 165	8676.83 161

ACMMP		9999.00 161	9999.00 162	9999.00 162	9999.00 167	9999.00 168	9999.00 169	9999.00 159	9999.00 165	9999.00 171	9999.00 165	9999.00 172	9999.00 165	9999.00 164	9999.00 163	9999.00 167	9999.00 163
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	13278.69 162	12303.57 163	14416.33 163	9890.00 166	17107.00 169	4634.00 159	59884.00 168	3666.00 159	966.00 139	1792.00 149	896.00 146	5680.00 161	20677.00 167	23030.00 166	5444.00 166	18957.00 164
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA		17763.08 163	15907.71 164	19927.67 164	19334.00 169	22387.00 170	22896.00 170	38668.00 166	15772.00 166	7632.00 170	13229.00 166	7123.00 171	19334.00 166	15773.00 165	15700.00 164	11702.00 168	21370.00 165

MSDG		31705.85 164	29167.57 166	34667.17 165	44079.00 170	28314.00 172	44778.00 172	43648.00 167	31045.00 168	14849.00 172	26179.00 168	13752.00 174	38088.00 168	30859.00 168	30835.00 167	22561.00 170	43189.00 167

LTVRE_ROB	38377.89 19	49656.08 165	18936.71 165	85495.33 166	306852.00 172	22526.00 171	29206.00 171	112098.00 170	30022.00 167	17348.00 173	2824.00 159	11239.00 173	29457.00 167	20569.00 166	19941.00 165	18011.00 169	25436.00 166
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		99999.00 166	99999.00 167	99999.00 167	99999.00 171	99999.00 173	99999.00 173	99999.00 169	99999.00 169	99999.00 174	99999.00 169	99999.00 175	99999.00 169	99999.00 169	99999.00 168	99999.00 171	99999.00 168

MGCFI-Net		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

sasdasda		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

dmvs_re		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

test2506		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

test1111		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

ECVR-MVS		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

ET-MVSNet_ETH3D		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

UniMVSNet_ETH3D		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

thisisatest0530		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

DCV-MVSNet		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

tttt0517		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

thisisatest0515		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

DPE-MVS		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view900		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

tfpnnormal		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

tfpn200view9		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

IterMVS-SCA-FT		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

pmmvs6		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

pmmvs5		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

Anonymous20231211		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

pmmvs-eth3d		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

Anonymous20231206		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

SCA		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

canonicalmvs		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

anonymousdsp		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

FC-MVSNet-train		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

UA-Net		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

FC-MVSNet-test		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

sosnet-low-res		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

DI_MVS_pp		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

HPM-MVS++		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

pm-mvs1		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

APDe-MVS		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
pmmvs4		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

test-LLR		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

TESTMET0.1,1		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

test-mter		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

testgi		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

test20.03		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

thres600view7		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

MP-MVS		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

thres400		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

test123		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

thres200		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

test0.0.03 1		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

pmmvs3		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

EMVS		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

E-PMN		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

PGM-MVS		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

MCST-MVS		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

PMMVS2		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

PM-MVS		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

LGP-MVS_train		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

EPNet_dtu		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

NCCC		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

CP-MVS		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

CPTT-MVS		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

HQP-MVS		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

IS_MVSNet		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

Vis-MVSNet (Re-imp)		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

PatchMatch-RL		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

TDRefinement		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

EPP-MVSNet		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

PMMVS		10000000.00 167	10000000.00 168	10000000.00 168	10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170	10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

APD-MVS		1000000000.00 234	1000000000.00 236	1000000000.00 235	1000000000.00 243	1000000000.00 243	1000000000.00 244	1000000000.00 239	1000000000.00 239	1000000000.00 244	1000000000.00 239	1000000000.00 246	1000000000.00 239	1000000000.00 238	1000000000.00 237	1000000000.00 241	1000000000.00 238
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
TPM-MVS					10000000.00 173	10000000.00 174	10000000.00 174			10000000.00 175	10000000.00 170	10000000.00 176	10000000.00 170			10000000.00 172	10000000.00 169
Ray Leroy Khuboni and Hongjun Xu: Textureless Resilient Propagation Matching in Multiple View Stereosis (TPM-MVS). SATNAC 2025
RE-MVS-def										610.10 126

9.14												0.00 1

SR-MVS					610.10 97			610.10 83				610.10 129

Anonymous202405211			10000000.00 168		10000000.00 173	10000000.00 174	10000000.00 174	10000000.00 171	10000000.00 170		10000000.00 170	10000000.00 176	10000000.00 170	10000000.00 170	10000000.00 169	10000000.00 172	10000000.00 169

our_test_3					9999.00 167	99.00 68	99.00 67

ambc			999.00 116		999.00 114	999.00 115	999.00 113		999.00 119	999.00 142	999.00 126	999.00 151	999.00 115	999.00 115	999.00 115	999.00 123	999.00 112

MTAPA										41.98 67		28.43 63

MTMP										10000000.00 175		31.71 65

Patchmatch-RL test							10000000.00 174

tmp_tt				299.50 80	365.00 82	54.00 65	649.00 96	241.00 75	159.00 79	204.00 94	479.00 103	308.00 112	243.00 81	246.00 81	82.00 64	95.00 81

XVS					52.20 61	52.20 62	52.20 62			52.20 69		52.20 79				52.20 64

X-MVStestdata					52.20 61	52.20 62	52.20 62			52.20 69		52.20 79				52.20 64

mPP-MVS					10000000.00 173							10000000.00 176

NP-MVS									10000000.00 170

Patchmtry						1825.90 130	885.90 111	1405.90 105		1285.90 160

DeepMVS_CX						1.00 39	1.00 39	1.00 39	1.00 39	1.00 39	1.00 39	1.00 40	1.00 39	1.00 39		1.00 39	1.00 39

High-resolution multi-view benchmark