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	botani.	boulde.	bridge	door	exhibi.	lectur.	living.	lounge	observ.	old co.	statue	terrac.

test_fmvsmvis_n_1920		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

test_fmvsm_n_1920		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

test_cas_vis1_n_1920		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

test_vis1_n_1920		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

test_vis1_n		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

test_fmvs1_n		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

mvsany_test1		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

APD_test1		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

test_vis1_rt		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

test_vis3_rt		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

test_fmvs2		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

test_fmvs1		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

test_fmvs3		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

mvsany_test3		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

testf1		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

APD_test2		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

test_f		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	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

9.14			0.00 1		0.00 1		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

save fliter					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

TEST9					0.00 1	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

test_8					0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

agg_prior					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

region2R		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

test_prior				0.00 1	0.00 1	0.00 1		0.00 1					0.00 1			0.00 1

新几何1				0.00 1	0.00 1	0.00 1		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

旧先验1					0.00 1	0.00 1		0.00 1			0.00 1	0.00 1			0.00 1	0.00 1

无先验							0.00 1	0.00 1	0.00 1				0.00 1	0.00 1		0.00 1

原ACMM1				0.00 1	0.00 1	0.00 1		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

test222					0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1			0.00 1	0.00 1

testdata				0.00 1	0.00 1	0.00 1		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

1314		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	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		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

test12				0.00 1	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

h-mvs33		0.30 26	0.30 27	0.30 31	0.30 38	0.30 38	0.30 38	0.30 39	0.30 38	0.30 37	0.30 35	0.30 37	0.30 38	0.30 36	0.30 36	0.30 36

hse-mvs2		0.30 26	0.30 27	0.30 31	0.30 38	0.30 38	0.30 38	0.30 39	0.30 38	0.30 37	0.30 35	0.30 37	0.30 38	0.30 36	0.30 36	0.30 36

CL-MVSNet_self_test		0.30 26	0.30 27	0.30 31	0.30 38	0.30 38	0.30 38	0.30 39	0.30 38	0.30 37	0.30 35	0.30 37	0.30 38	0.30 36	0.30 36	0.30 36

AUN-MVS		0.30 26	0.30 27	0.30 31	0.30 38	0.30 38	0.30 38	0.30 39	0.30 38	0.30 37	0.30 35	0.30 37	0.30 38	0.30 36	0.30 36	0.30 36

LCM-MVSNet		0.37 30	0.36 31	0.37 35	0.37 42	0.37 42	0.37 42	0.32 43	0.37 42	0.37 41	0.37 39	0.37 41	0.37 42	0.37 40	0.37 40	0.37 40

Fast-Effi-MVS+		0.41 43	0.40 32	0.41 48	0.41 55	0.41 55	0.41 55	0.35 44	0.41 55	0.41 54	0.41 52	0.41 54	0.41 55	0.41 53	0.41 53	0.41 53

v144192		0.40 31	0.40 32	0.40 36	0.40 43	0.40 43	0.40 43	0.40 45	0.40 43	0.40 42	0.40 40	0.40 42	0.40 43	0.40 41	0.40 41	0.40 41

v1921920		0.40 31	0.40 32	0.40 36	0.40 43	0.40 43	0.40 43	0.40 45	0.40 43	0.40 42	0.40 40	0.40 42	0.40 43	0.40 41	0.40 41	0.40 41

v1192		0.40 31	0.40 32	0.40 36	0.40 43	0.40 43	0.40 43	0.40 45	0.40 43	0.40 42	0.40 40	0.40 42	0.40 43	0.40 41	0.40 41	0.40 41

v1144		0.40 31	0.40 32	0.40 36	0.40 43	0.40 43	0.40 43	0.40 45	0.40 43	0.40 42	0.40 40	0.40 42	0.40 43	0.40 41	0.40 41	0.40 41

v148		0.40 31	0.40 32	0.40 36	0.40 43	0.40 43	0.40 43	0.40 45	0.40 43	0.40 42	0.40 40	0.40 42	0.40 43	0.40 41	0.40 41	0.40 41

v7n		0.40 31	0.40 32	0.40 36	0.40 43	0.40 43	0.40 43	0.40 45	0.40 43	0.40 42	0.40 40	0.40 42	0.40 43	0.40 41	0.40 41	0.40 41

v1240		0.40 31	0.40 32	0.40 36	0.40 43	0.40 43	0.40 43	0.40 45	0.40 43	0.40 42	0.40 40	0.40 42	0.40 43	0.40 41	0.40 41	0.40 41

v8		0.40 31	0.40 32	0.40 36	0.40 43	0.40 43	0.40 43	0.40 45	0.40 43	0.40 42	0.40 40	0.40 42	0.40 43	0.40 41	0.40 41	0.40 41

v10		0.40 31	0.40 32	0.40 36	0.40 43	0.40 43	0.40 43	0.40 45	0.40 43	0.40 42	0.40 40	0.40 42	0.40 43	0.40 41	0.40 41	0.40 41

v2v482		0.40 31	0.40 32	0.40 36	0.40 43	0.40 43	0.40 43	0.40 45	0.40 43	0.40 42	0.40 40	0.40 42	0.40 43	0.40 41	0.40 41	0.40 41

V42		0.40 31	0.40 32	0.40 36	0.40 43	0.40 43	0.40 43	0.40 45	0.40 43	0.40 42	0.40 40	0.40 42	0.40 43	0.40 41	0.40 41	0.40 41

GA-MVS		0.40 31	0.40 32	0.40 36	0.40 43	0.40 43	0.40 43	0.40 45	0.40 43	0.40 42	0.40 40	0.40 42	0.40 43	0.40 41	0.40 41	0.40 41

Fast-Effi-MVS+-dtu		0.44 44	0.44 45	0.44 49	0.44 56	0.44 56	0.44 56	0.44 57	0.44 56	0.44 55	0.44 53	0.44 55	0.44 56	0.44 54	0.44 54	0.44 54

Effi-MVS+		0.58 45	0.56 46	0.62 52	0.53 57	0.62 59	0.53 57	0.53 58	0.53 57	0.62 58	0.62 56	0.53 56	0.62 59	0.62 56	0.53 55	0.62 57

KD-MVS_self_test		0.60 47	0.60 47	0.60 51	0.60 58	0.60 58	0.60 59	0.60 59	0.60 58	0.60 57	0.60 55	0.60 57	0.60 58	0.60 55	0.60 57	0.60 56

EIA-MVS		0.62 48	0.62 49	0.62 52	0.62 59	0.62 59	0.62 60	0.62 60	0.62 59	0.62 58	0.62 56	0.62 58	0.62 59	0.62 56	0.62 58	0.62 57

ETV-MVS		0.62 48	0.62 49	0.62 52	0.62 59	0.62 59	0.62 60	0.62 60	0.62 59	0.62 58	0.62 56	0.62 58	0.62 59	0.62 56	0.62 58	0.62 57

CS-MVS		0.62 48	0.62 49	0.62 52	0.62 59	0.62 59	0.62 60	0.62 60	0.62 59	0.62 58	0.62 56	0.62 58	0.62 59	0.62 56	0.62 58	0.62 57

CS-MVS-test		0.62 48	0.62 49	0.62 52	0.62 59	0.62 59	0.62 60	0.62 60	0.62 59	0.62 58	0.62 56	0.62 58	0.62 59	0.62 56	0.62 58	0.62 57

EC-MVSNet		0.62 48	0.62 49	0.62 52	0.62 59	0.62 59	0.62 60	0.62 60	0.62 59	0.62 58	0.62 56	0.62 58	0.62 59	0.62 56	0.62 58	0.62 57

Effi-MVS+-dtu		0.59 46	0.61 48	0.53 50	0.68 64	0.53 57	0.53 57	0.68 65	0.68 64	0.53 56	0.53 54	0.68 63	0.53 57	0.68 62	0.53 55	0.53 55

CDS-MVSNet		0.88 53	0.88 54	0.88 58	0.88 65	0.88 65	0.88 65	0.88 66	0.88 65	0.88 64	0.88 62	0.88 64	0.88 65	0.88 63	0.88 63	0.88 63
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS		0.88 53	0.88 54	0.88 58	0.88 65	0.88 65	0.88 65	0.88 66	0.88 65	0.88 64	0.88 62	0.88 64	0.88 65	0.88 63	0.88 63	0.88 63

LCM-MVSNet-Re		0.89 55	0.89 56	0.89 60	0.89 67	0.89 67	0.89 67	0.89 68	0.89 67	0.89 66	0.89 64	0.89 66	0.89 67	0.89 65	0.89 65	0.89 65

test11								1.00 69

DeepMVS_CX				1.00 61	1.00 68	1.00 68		1.00 69	1.00 68	1.00 67	1.00 65	1.00 67	1.00 68	1.00 66	1.00 66	1.00 66

MDA-MVSNet-bldmvs		1.20 56	1.20 57	1.20 62	1.20 69	1.20 70	1.20 68	1.20 71	1.20 69	1.20 68	1.20 66	1.20 68	1.20 69	1.20 67	1.20 67	1.20 67

YYNet1		1.20 56	1.20 57	1.20 62	1.20 69	1.20 70	1.20 68	1.20 71	1.20 69	1.20 68	1.20 66	1.20 68	1.20 69	1.20 67	1.20 67	1.20 67

MDA-MVSNet_test_wron		1.20 56	1.20 57	1.20 62	1.20 69	1.20 70	1.20 68	1.20 71	1.20 69	1.20 68	1.20 66	1.20 68	1.20 69	1.20 67	1.20 67	1.20 67

KD-MVS_2432*1600		1.30 59	1.30 60	1.30 65	1.30 72	1.30 73	1.30 71	1.30 74	1.30 72	1.30 71	1.30 69	1.30 71	1.30 72	1.30 70	1.30 70	1.30 70

miper_refine_blended		1.30 59	1.30 60	1.30 65	1.30 72	1.30 73	1.30 71	1.30 74	1.30 72	1.30 71	1.30 69	1.30 71	1.30 72	1.30 70	1.30 70	1.30 70

EI-MVSNet-UG-set		1.42 61	1.42 62	1.42 67	1.42 74	1.42 75	1.42 73	1.42 76	1.42 74	1.42 73	1.42 71	1.42 73	1.42 74	1.42 72	1.42 72	1.42 72

EI-MVSNet-Vis-set		1.42 61	1.42 62	1.42 67	1.42 74	1.42 75	1.42 73	1.42 76	1.42 74	1.42 73	1.42 71	1.42 73	1.42 74	1.42 72	1.42 72	1.42 72

EI-MVSNet		1.42 61	1.42 62	1.42 67	1.42 74	1.42 75	1.42 73	1.42 76	1.42 74	1.42 73	1.42 71	1.42 73	1.42 74	1.42 72	1.42 72	1.42 72

Regformer		1.42 61	1.42 62	1.42 67	1.42 74	1.42 75	1.42 73	1.42 76	1.42 74	1.42 73	1.42 71	1.42 73	1.42 74	1.42 72	1.42 72	1.42 72

CVMVSNet		1.42 61	1.42 62	1.42 67	1.42 74	1.42 75	1.42 73	1.42 76	1.42 74	1.42 73	1.42 71	1.42 73	1.42 74	1.42 72	1.42 72	1.42 72

EU-MVSNet		1.42 61	1.42 62	1.42 67	1.42 74	1.42 75	1.42 73	1.42 76	1.42 74	1.42 73	1.42 71	1.42 73	1.42 74	1.42 72	1.42 72	1.42 72

PS-CasMVS		1.42 61	1.42 62	1.42 67	1.42 74	1.42 75	1.42 73	1.42 76	1.42 74	1.42 73	1.42 71	1.42 73	1.42 74	1.42 72	1.42 72	1.42 72

UniMVSNet_NR-MVSNet		1.42 61	1.42 62	1.42 67	1.42 74	1.42 75	1.42 73	1.42 76	1.42 74	1.42 73	1.42 71	1.42 73	1.42 74	1.42 72	1.42 72	1.42 72

PEN-MVS		1.42 61	1.42 62	1.42 67	1.42 74	1.42 75	1.42 73	1.42 76	1.42 74	1.42 73	1.42 71	1.42 73	1.42 74	1.42 72	1.42 72	1.42 72

TransMVSNet (Re)		1.42 61	1.42 62	1.42 67	1.42 74	1.42 75	1.42 73	1.42 76	1.42 74	1.42 73	1.42 71	1.42 73	1.42 74	1.42 72	1.42 72	1.42 72

DTE-MVSNet		1.42 61	1.42 62	1.42 67	1.42 74	1.42 75	1.42 73	1.42 76	1.42 74	1.42 73	1.42 71	1.42 73	1.42 74	1.42 72	1.42 72	1.42 72

DU-MVS		1.42 61	1.42 62	1.42 67	1.42 74	1.42 75	1.42 73	1.42 76	1.42 74	1.42 73	1.42 71	1.42 73	1.42 74	1.42 72	1.42 72	1.42 72

UniMVSNet (Re)		1.42 61	1.42 62	1.42 67	1.42 74	1.42 75	1.42 73	1.42 76	1.42 74	1.42 73	1.42 71	1.42 73	1.42 74	1.42 72	1.42 72	1.42 72

CP-MVSNet		1.42 61	1.42 62	1.42 67	1.42 74	1.42 75	1.42 73	1.42 76	1.42 74	1.42 73	1.42 71	1.42 73	1.42 74	1.42 72	1.42 72	1.42 72

WR-MVS_H		1.42 61	1.42 62	1.42 67	1.42 74	1.42 75	1.42 73	1.42 76	1.42 74	1.42 73	1.42 71	1.42 73	1.42 74	1.42 72	1.42 72	1.42 72

WR-MVS		1.42 61	1.42 62	1.42 67	1.42 74	1.42 75	1.42 73	1.42 76	1.42 74	1.42 73	1.42 71	1.42 73	1.42 74	1.42 72	1.42 72	1.42 72

NR-MVSNet		1.42 61	1.42 62	1.42 67	1.42 74	1.42 75	1.42 73	1.42 76	1.42 74	1.42 73	1.42 71	1.42 73	1.42 74	1.42 72	1.42 72	1.42 72

Baseline_NR-MVSNet		1.42 61	1.42 62	1.42 67	1.42 74	1.42 75	1.42 73	1.42 76	1.42 74	1.42 73	1.42 71	1.42 73	1.42 74	1.42 72	1.42 72	1.42 72

TranMVSNet+NR-MVSNet		1.42 61	1.42 62	1.42 67	1.42 74	1.42 75	1.42 73	1.42 76	1.42 74	1.42 73	1.42 71	1.42 73	1.42 74	1.42 72	1.42 72	1.42 72

nn								1.42 76

door-mid								1.42 76

MVSFormer		1.42 61	1.42 62	1.42 67	1.42 74	1.42 75	1.42 73	1.42 76	1.42 74	1.42 73	1.42 71	1.42 73	1.42 74	1.42 72	1.42 72	1.42 72

jason		1.42 61	1.42 62	1.42 67	1.42 74	1.42 75	1.42 73	1.42 76	1.42 74	1.42 73	1.42 71	1.42 73	1.42 74	1.42 72	1.42 72	1.42 72
jason: jason.
lupinMVS		1.42 61	1.42 62	1.42 67	1.42 74	1.42 75	1.42 73	1.42 76	1.42 74	1.42 73	1.42 71	1.42 73	1.42 74	1.42 72	1.42 72	1.42 72

test_djsdf		1.42 61	1.42 62	1.42 67	1.42 74	1.42 75	1.42 73	1.42 76	1.42 74	1.42 73	1.42 71	1.42 73	1.42 74	1.42 72	1.42 72	1.42 72

alignmvs		2.00 84	2.00 85	2.00 90	2.00 98	2.00 98	2.00 96	2.00 101	2.00 97	2.00 96	2.00 94	2.00 96	2.00 97	2.00 95	2.00 95	2.00 95

nrg030		2.00 84	2.00 85	2.00 90	2.00 98	2.00 98	2.00 96	2.00 101	2.00 97	2.00 96	2.00 94	2.00 96	2.00 97	2.00 95	2.00 95	2.00 95

LFMVS		2.00 84	2.00 85	2.00 90	2.00 98	2.00 98	2.00 96	2.00 101	2.00 97	2.00 96	2.00 94	2.00 96	2.00 97	2.00 95	2.00 95	2.00 95

VDD-MVS		2.00 84	2.00 85	2.00 90	2.00 98	2.00 98	2.00 96	2.00 101	2.00 97	2.00 96	2.00 94	2.00 96	2.00 97	2.00 95	2.00 95	2.00 95

VDDNet		2.00 84	2.00 85	2.00 90	2.00 98	2.00 98	2.00 96	2.00 101	2.00 97	2.00 96	2.00 94	2.00 96	2.00 97	2.00 95	2.00 95	2.00 95

VPNet		2.00 84	2.00 85	2.00 90	2.00 98	2.00 98	2.00 96	2.00 101	2.00 97	2.00 96	2.00 94	2.00 96	2.00 97	2.00 95	2.00 95	2.00 95

VNet		2.00 84	2.00 85	2.00 90	2.00 98	2.00 98	2.00 96	2.00 101	2.00 97	2.00 96	2.00 94	2.00 96	2.00 97	2.00 95	2.00 95	2.00 95

VPA-MVSNet		2.00 84	2.00 85	2.00 90	2.00 98	2.00 98	2.00 96	2.00 101	2.00 97	2.00 96	2.00 94	2.00 96	2.00 97	2.00 95	2.00 95	2.00 95

cascas		2.00 84	2.00 85	2.00 90	2.00 98	2.00 98	2.00 96	2.00 101	2.00 97	2.00 96	2.00 94	2.00 96	2.00 97	2.00 95	2.00 95	2.00 95

dp		87.20 122	113.80 126	7.42 109	10.50 128	8.88 117	298.82 143	2.70 110	510.35 160	7.79 115	172.93 136	3.37 105	9.16 116	14.00 127	3.71 105	4.23 105

test_method		18.29 115	20.89 117	10.50 120	15.00 130	13.00 132	55.00 135	3.00 111	34.00 132	11.50 128	32.50 126	5.00 106	13.50 129	27.00 130	5.00 106	5.00 106

GeoE		19.41 116	22.09 118	11.37 121	17.21 132	11.30 130	50.50 134	4.30 112	33.60 131	11.70 130	44.50 131	7.30 117	18.90 131	22.60 129	7.10 117	3.90 104

UnsupCasMVSNet_eth		5.90 93	5.90 94	5.90 99	5.90 107	5.90 107	5.90 106	5.90 113	5.90 107	5.90 105	5.90 103	5.90 107	5.90 106	5.90 104	5.90 107	5.90 107

UnsupCasMVSNet_bld		5.90 93	5.90 94	5.90 99	5.90 107	5.90 107	5.90 106	5.90 113	5.90 107	5.90 105	5.90 103	5.90 107	5.90 106	5.90 104	5.90 107	5.90 107

WTY-MVS		5.90 93	5.90 94	5.90 99	5.90 107	5.90 107	5.90 106	5.90 113	5.90 107	5.90 105	5.90 103	5.90 107	5.90 106	5.90 104	5.90 107	5.90 107

HY-MVS	5.90 1	5.90 93	5.90 94	5.90 99	5.90 107	5.90 107	5.90 106	5.90 113	5.90 107	5.90 105	5.90 103	5.90 107	5.90 106	5.90 104	5.90 107	5.90 107

sss		5.90 93	5.90 94	5.90 99	5.90 107	5.90 107	5.90 106	5.90 113	5.90 107	5.90 105	5.90 103	5.90 107	5.90 106	5.90 104	5.90 107	5.90 107

Test_1112_low_res		5.90 93	5.90 94	5.90 99	5.90 107	5.90 107	5.90 106	5.90 113	5.90 107	5.90 105	5.90 103	5.90 107	5.90 106	5.90 104	5.90 107	5.90 107

1112_ss		5.90 93	5.90 94	5.90 99	5.90 107	5.90 107	5.90 106	5.90 113	5.90 107	5.90 105	5.90 103	5.90 107	5.90 106	5.90 104	5.90 107	5.90 107

ab-mvs-re		5.90 93	5.90 94	5.90 99	5.90 107	5.90 107	5.90 106	5.90 113	5.90 107	5.90 105	5.90 103	5.90 107	5.90 106	5.90 104	5.90 107	5.90 107

ab-mvs		5.90 93	5.90 94	5.90 99	5.90 107	5.90 107	5.90 106	5.90 113	5.90 107	5.90 105	5.90 103	5.90 107	5.90 106	5.90 104	5.90 107	5.90 107

CDPH-MVS		6.66 102	6.66 103	6.66 108	6.66 116	6.66 116	6.66 115	6.66 122	6.66 116	6.66 114	6.66 112	6.66 116	6.66 115	6.66 113	6.66 116	6.66 116

GBi-Net		44.67 121	49.24 123	30.96 124	47.53 137	47.57 138	126.09 136	8.00 123	76.99 137	26.09 132	73.50 133	11.27 130	30.55 132	61.12 135	12.58 130	14.75 129

MDTV_nov1_ep13			9.99 104		9.99 117	9.99 118	9.99 116	9.99 124	9.99 117	9.99 116	9.99 113	9.99 118	9.99 117	9.99 114	9.99 118

xiu_mvs_v1_base_debu		10.28 103	10.28 105	10.28 110	10.28 118	10.28 120	10.28 118	10.28 125	10.28 119	10.28 118	10.28 114	10.28 120	10.28 118	10.28 116	10.28 119	10.28 118

xiu_mvs_v2_base		10.28 103	10.28 105	10.28 110	10.28 118	10.28 120	10.28 118	10.28 125	10.28 119	10.28 118	10.28 114	10.28 120	10.28 118	10.28 116	10.28 119	10.28 118

xiu_mvs_v1_base		10.28 103	10.28 105	10.28 110	10.28 118	10.28 120	10.28 118	10.28 125	10.28 119	10.28 118	10.28 114	10.28 120	10.28 118	10.28 116	10.28 119	10.28 118

xiu_mvs_v1_base_debi		10.28 103	10.28 105	10.28 110	10.28 118	10.28 120	10.28 118	10.28 125	10.28 119	10.28 118	10.28 114	10.28 120	10.28 118	10.28 116	10.28 119	10.28 118

cdsmvs_eth3d_5k		10.28 103	10.28 105	10.28 110	10.28 118	10.28 120	10.28 118	10.28 125	10.28 119	10.28 118	10.28 114	10.28 120	10.28 118	10.28 116	10.28 119	10.28 118

pcd_1.5k_mvsjas		10.28 103	10.28 105	10.28 110	10.28 118	10.28 120	10.28 118	10.28 125	10.28 119	10.28 118	10.28 114	10.28 120	10.28 118	10.28 116	10.28 119	10.28 118

PS-MVSNAJss		10.28 103	10.28 105	10.28 110	10.28 118	10.28 120	10.28 118	10.28 125	10.28 119	10.28 118	10.28 114	10.28 120	10.28 118	10.28 116	10.28 119	10.28 118

PS-MVSNAJ		10.28 103	10.28 105	10.28 110	10.28 118	10.28 120	10.28 118	10.28 125	10.28 119	10.28 118	10.28 114	10.28 120	10.28 118	10.28 116	10.28 119	10.28 118

jajsoiax		10.28 103	10.28 105	10.28 110	10.28 118	10.28 120	10.28 118	10.28 125	10.28 119	10.28 118	10.28 114	10.28 120	10.28 118	10.28 116	10.28 119	10.28 118

mvs_tets		10.28 103	10.28 105	10.28 110	10.28 118	10.28 120	10.28 118	10.28 125	10.28 119	10.28 118	10.28 114	10.28 120	10.28 118	10.28 116	10.28 119	10.28 118

MP-MVS-pluss		833433.63 252	1111219.60 258	75.70 135	74.28 139	73.29 142	284.50 140	11.35 135	238.58 144	65.86 140	255.35 152	14.55 133	115.69 154	10000000.00 284	31.94 133	38.12 139
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMP_NAP		118.81 128	133.18 130	75.70 135	74.28 139	73.29 142	284.50 140	11.35 135	238.58 144	65.86 140	255.35 152	14.55 133	115.69 154	222.18 154	31.94 133	38.12 139

SR-MVS-dyc-post		11.55 113	11.55 115	11.55 122	11.55 129	11.55 131	11.55 128	11.55 137	11.55 129	11.55 129	11.55 124	11.55 131	11.55 128	11.55 126	11.55 129	11.55 128

n2								14.20 138

XXY-MVS		15.00 114	15.00 116	15.00 123	15.00 130	15.00 133	15.00 129	15.00 139	15.00 130	15.00 131	15.00 125	15.00 135	15.00 130	15.00 128	15.00 131	15.00 130

new_pmnet		88.14 123	98.62 124	56.70 129	98.14 144	56.07 139	246.79 138	15.37 140	148.06 138	50.77 137	143.13 134	23.35 136	62.65 137	93.26 136	68.71 153	51.38 151

N_pmnet		88.14 123	98.62 124	56.70 129	98.14 144	56.07 139	246.79 138	15.37 140	148.06 138	50.77 137	143.13 134	23.35 136	62.65 137	93.26 136	68.71 153	51.38 151

CANet		110.62 125	124.04 127	70.34 132	82.03 141	74.27 144	325.54 144	25.25 142	207.16 140	69.28 142	194.38 137	27.53 138	95.79 146	147.76 140	37.43 135	40.97 145

CANet_DTU		110.62 125	124.04 127	70.34 132	82.03 141	74.27 144	325.54 144	25.25 142	207.16 140	69.28 142	194.38 137	27.53 138	95.79 146	147.76 140	37.43 135	40.97 145

UGNet		110.62 125	124.04 127	70.34 132	82.03 141	74.27 144	325.54 144	25.25 142	207.16 140	69.28 142	194.38 137	27.53 138	95.79 146	147.76 140	37.43 135	40.97 145
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022
PVSNet_Blended_VisFu		136.90 137	155.40 139	81.40 144	111.00 154	96.20 148	407.00 154	25.90 145	251.60 146	85.10 152	240.50 148	37.00 148	99.90 149	199.80 150	40.70 149	48.10 148

PVSNet_BlendedMVS		136.90 137	155.40 139	81.40 144	111.00 154	96.20 148	407.00 154	25.90 145	251.60 146	85.10 152	240.50 148	37.00 148	99.90 149	199.80 150	40.70 149	48.10 148

PVSNet_Blended		136.90 137	155.40 139	81.40 144	111.00 154	96.20 148	407.00 154	25.90 145	251.60 146	85.10 152	240.50 148	37.00 148	99.90 149	199.80 150	40.70 149	48.10 148

FMVSNet5		124.76 129	140.93 131	76.26 137	107.44 147	100.17 151	329.88 147	27.12 148	259.44 149	74.30 145	204.34 140	30.74 141	92.41 139	196.98 143	38.15 138	36.19 132

test1		124.76 129	140.93 131	76.26 137	107.44 147	100.17 151	329.88 147	27.12 148	259.44 149	74.30 145	204.34 140	30.74 141	92.41 139	196.98 143	38.15 138	36.19 132

FMVSNet3		124.76 129	140.93 131	76.26 137	107.44 147	100.17 151	329.88 147	27.12 148	259.44 149	74.30 145	204.34 140	30.74 141	92.41 139	196.98 143	38.15 138	36.19 132

FMVSNet2		124.76 129	140.93 131	76.26 137	107.44 147	100.17 151	329.88 147	27.12 148	259.44 149	74.30 145	204.34 140	30.74 141	92.41 139	196.98 143	38.15 138	36.19 132

FMVSNet1		124.76 129	140.93 131	76.26 137	107.44 147	100.17 151	329.88 147	27.12 148	259.44 149	74.30 145	204.34 140	30.74 141	92.41 139	196.98 143	38.15 138	36.19 132

MIMVSNet1		124.76 129	140.93 131	76.26 137	107.44 147	100.17 151	329.88 147	27.12 148	259.44 149	74.30 145	204.34 140	30.74 141	92.41 139	196.98 143	38.15 138	36.19 132

MIMVSNet		124.76 129	140.93 131	76.26 137	107.44 147	100.17 151	329.88 147	27.12 148	259.44 149	74.30 145	204.34 140	30.74 141	92.41 139	196.98 143	38.15 138	36.19 132

FE-MVS		207.10 140	234.26 142	125.61 148	180.34 157	153.23 158	635.64 161	30.05 155	378.38 157	127.68 156	377.08 154	48.95 156	154.43 156	266.67 155	63.56 152	69.18 153

BH-w/o		40.00 117	40.00 119	40.00 125	40.00 133	40.00 134	40.00 130	40.00 156	40.00 133	40.00 133	40.00 127	40.00 152	40.00 133	40.00 131	40.00 145	40.00 141

BH-untuned		40.00 117	40.00 119	40.00 125	40.00 133	40.00 134	40.00 130	40.00 156	40.00 133	40.00 133	40.00 127	40.00 152	40.00 133	40.00 131	40.00 145	40.00 141

BH-RMVSNet		40.00 117	40.00 119	40.00 125	40.00 133	40.00 134	40.00 130	40.00 156	40.00 133	40.00 133	40.00 127	40.00 152	40.00 133	40.00 131	40.00 145	40.00 141

TR-MVS		40.00 117	40.00 119	40.00 125	40.00 133	40.00 134	40.00 130	40.00 156	40.00 133	40.00 133	40.00 127	40.00 152	40.00 133	40.00 131	40.00 145	40.00 141

FA-MVS(test-final)		261.15 141	293.29 143	164.72 149	236.23 160	199.99 161	800.05 166	42.35 160	475.87 159	155.47 157	470.67 156	58.49 157	205.24 158	319.44 156	81.03 155	88.93 154

DSMNet-mixed		131.33 136	143.00 138	96.33 147	99.00 146	81.00 147	201.00 137	45.00 161	335.00 156	99.00 155	251.00 151	38.00 151	110.00 153	120.00 139	99.00 156	98.00 155

DP-MVS		264.78 142	296.02 144	171.04 150	191.70 158	183.96 159	827.10 167	78.36 162	438.24 158	176.64 158	435.12 155	65.04 159	230.52 160	334.02 157	117.96 157	98.64 156

DP-MVS Recon		516.25 153	581.17 154	321.48 159	361.02 164	429.00 174	1995.36 188	78.48 163	796.20 170	283.32 163	796.02 168	96.78 163	382.98 165	636.72 170	186.66 170	152.46 157

ACMH+	729.97 2	661.38 159	754.00 162	383.51 163	368.96 165	376.38 169	2483.74 201	82.42 164	1089.25 184	333.39 168	1219.68 188	66.53 160	573.60 186	957.86 183	184.14 169	200.56 167

ADS-MVSNet2		443.33 146	482.84 147	324.79 160	434.94 173	387.73 170	1110.57 175	87.69 165	887.02 173	282.92 161	779.29 166	98.57 166	422.76 169	502.40 158	162.19 164	163.87 159

ADS-MVSNet		443.33 146	482.84 147	324.79 160	434.94 173	387.73 170	1110.57 175	87.69 165	887.02 173	282.92 161	779.29 166	98.57 166	422.76 169	502.40 158	162.19 164	163.87 159

RPSCF		394.81 144	445.63 146	242.35 151	276.55 162	253.63 162	1207.27 177	90.69 167	715.56 167	241.57 160	684.87 164	111.96 169	320.02 161	548.38 164	133.81 158	153.39 158

MVP-Stereo		473.58 148	533.67 150	293.33 154	376.00 166	318.00 164	1461.00 180	96.00 168	835.00 171	290.00 164	804.00 169	97.00 164	383.00 166	688.00 175	156.00 159	179.00 163
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch		473.58 148	533.67 150	293.33 154	376.00 166	318.00 164	1461.00 180	96.00 168	835.00 171	290.00 164	804.00 169	97.00 164	383.00 166	688.00 175	156.00 159	179.00 163

lessismore_v0				569.20 182	667.25 199	644.68 198		96.45 170		428.86 174	1514.17 201	204.21 195	756.58 195	1061.60 194	197.79 172	306.34 184

EG-PatchMatch MVS		437.03 145	493.12 149	268.77 153	264.80 161	260.20 163	1491.80 182	98.00 171	723.20 168	238.80 159	722.40 165	63.10 158	382.00 164	629.00 168	207.00 173	164.10 161

door								99.00 172

IterMVS		615.05 157	691.66 160	385.23 164	516.40 176	454.80 175	1863.80 186	102.10 173	1142.20 185	364.10 170	1093.20 187	135.00 172	480.40 172	826.90 178	181.20 167	220.50 168
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
K. test v3		877.74 176	980.16 179	570.46 183	1316.85 222	813.15 207	2565.52 203	103.78 174	1509.49 201	548.33 187	1258.90 189	219.93 199	587.82 188	1102.37 202	196.30 171	310.42 185

SixPastTwentyTwo		773.62 163	869.37 169	486.35 176	603.45 180	547.15 189	2532.14 202	106.92 175	1434.95 192	428.08 173	1360.56 191	165.15 178	628.96 192	984.09 184	209.01 175	282.94 180

PatchmatchNet		492.52 150	551.22 152	316.40 158	400.20 169	357.90 168	1277.10 178	115.80 176	1034.60 183	315.90 166	874.00 172	155.10 174	402.20 168	629.50 169	158.80 161	189.10 165
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
DELS-MVS		514.57 152	587.73 155	295.12 156	343.03 163	328.09 166	1540.48 184	116.22 177	988.59 175	325.44 167	906.22 173	119.86 171	365.72 162	788.60 177	161.09 163	191.55 166
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
mvs_anonymous		774.90 164	882.28 170	452.77 166	636.50 190	537.20 181	2348.80 192	120.30 178	1504.30 194	474.40 176	1371.10 193	186.90 180	564.70 179	1078.90 195	219.30 176	256.40 170

casdiffmvs		774.90 164	882.28 170	452.77 166	636.50 190	537.20 181	2348.80 192	120.30 178	1504.30 194	474.40 176	1371.10 193	186.90 180	564.70 179	1078.90 195	219.30 176	256.40 170
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		774.90 164	882.28 170	452.77 166	636.50 190	537.20 181	2348.80 192	120.30 178	1504.30 194	474.40 176	1371.10 193	186.90 180	564.70 179	1078.90 195	219.30 176	256.40 170
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		774.90 164	882.28 170	452.77 166	636.50 190	537.20 181	2348.80 192	120.30 178	1504.30 194	474.40 176	1371.10 193	186.90 180	564.70 179	1078.90 195	219.30 176	256.40 170

baseline1		774.90 164	882.28 170	452.77 166	636.50 190	537.20 181	2348.80 192	120.30 178	1504.30 194	474.40 176	1371.10 193	186.90 180	564.70 179	1078.90 195	219.30 176	256.40 170

casdiffmvs_mvg		774.90 164	882.28 170	452.77 166	636.50 190	537.20 181	2348.80 192	120.30 178	1504.30 194	474.40 176	1371.10 193	186.90 180	564.70 179	1078.90 195	219.30 176	256.40 170
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		774.90 164	882.28 170	452.77 166	636.50 190	537.20 181	2348.80 192	120.30 178	1504.30 194	474.40 176	1371.10 193	186.90 180	564.70 179	1078.90 195	219.30 176	256.40 170

IterMVS-LS		758.94 161	856.56 166	466.10 174	606.60 181	546.80 188	2309.90 190	122.20 185	1402.80 191	463.50 175	1348.20 190	192.60 189	574.60 187	1028.60 193	234.60 185	276.90 179
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS	872.44 4	616.41 158	700.96 161	362.78 162	426.10 172	409.25 172	1822.69 185	124.42 186	1186.23 186	366.85 171	1079.42 185	190.60 188	451.78 171	930.72 182	181.59 168	227.30 169
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
PVSNet	1207.94 6	829.56 174	937.18 177	506.69 178	645.55 197	585.72 191	2477.98 200	130.52 187	1578.29 202	509.50 184	1460.01 200	194.90 190	637.19 193	1170.78 203	267.07 189	297.17 182

ACMH	993.80 5	967.92 179	1106.11 189	553.33 180	494.00 175	534.00 179	3581.00 207	136.00 188	1585.00 203	478.00 183	1871.00 206	90.00 161	839.00 198	1460.00 206	260.00 186	287.00 181
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++		1242.93 192	1411.08 195	738.48 197	712.71 201	712.68 201	4168.17 212	136.50 189	2276.40 213	613.28 197	2368.60 213	161.61 176	1130.38 216	1964.54 215	297.88 192	372.39 193

MVS_111021_LR		1136.45 190	1298.72 193	649.64 188	756.17 203	726.26 203	3785.94 208	138.15 190	2190.64 212	629.63 198	2064.39 209	165.45 179	874.83 200	1678.43 211	279.70 190	347.82 191

new-patchmatchnet		766.12 162	859.03 167	487.38 177	595.68 178	536.14 180	2346.27 191	142.51 191	1488.08 193	422.43 172	1361.32 192	163.65 177	628.60 191	1003.74 192	207.61 174	297.41 183

ACMMPR		1296.60 194	1480.82 197	743.96 198	899.25 207	763.47 205	4305.47 213	143.90 192	2530.94 216	683.99 199	2346.34 212	201.65 193	1098.25 214	1920.59 214	295.21 191	370.16 192

MVSTER		890.06 177	1005.91 186	542.52 179	736.13 202	653.90 199	2616.56 204	145.22 193	1692.10 205	555.69 191	1554.72 202	266.25 200	660.02 194	1219.66 204	266.84 188	313.64 186

ACMP	1246.57 7	1086.24 187	1235.17 191	639.45 187	596.53 179	639.91 197	3904.24 210	152.04 194	1851.54 207	566.58 192	1997.95 208	138.50 173	938.30 202	1605.46 208	303.70 195	340.14 188
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
PVSNet_0	1661.03 9	968.54 180	1066.82 188	673.70 193	706.94 200	695.69 200	2669.02 205	153.52 195	2108.17 211	605.54 193	1679.14 203	213.26 198	886.75 201	1236.76 205	229.01 184	438.67 198

ACMM	1311.08 8	1165.06 191	1332.72 194	662.07 191	584.90 177	715.99 202	4373.59 214	153.99 196	1880.27 208	709.02 202	2316.97 210	188.63 187	939.89 203	1484.30 207	302.78 194	330.34 187
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MG-MVS		1256.50 193	1432.00 196	730.00 196	610.00 182	760.00 204	4720.00 215	169.00 197	1920.00 209	723.00 204	2510.00 216	201.00 192	1050.00 213	1645.00 210	390.00 199	380.00 194

TSAR-MVS + GP.		1386.84 195	1622.84 199	678.81 194	952.13 209	840.17 209	5358.21 218	170.75 198	2650.47 217	713.54 203	2394.28 214	209.42 197	855.56 199	1854.36 213	302.42 193	340.71 189

CSCG		826.03 173	963.29 178	414.24 165	421.52 171	426.11 173	2230.35 189	179.52 199	1827.44 206	733.43 205	933.12 175	281.25 201	545.23 177	1800.35 212	262.64 187	271.38 178

Gipuma		689.75 160	767.00 163	458.00 173	613.00 188	549.00 190	1943.00 187	187.00 200	1230.00 187	518.00 185	1092.00 186	203.00 194	564.00 178	892.00 181	225.00 183	261.00 177
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
DeepC-MVS_fast	2190.19 12	1535.59 197	1886.82 201	481.89 175	847.73 204	830.16 208	7943.84 234	189.23 201	2398.83 214	691.73 201	2341.13 211	209.16 196	230.25 159	1999.25 216	360.46 197	385.25 195
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
test_0402		1110.00 189	1260.00 192	660.00 189	900.00 208	780.00 206	3300.00 206	210.00 202	2040.00 210	690.00 200	1950.00 207	300.00 204	810.00 197	1620.00 209	330.00 196	390.00 196

tpmvs		501.65 151	567.42 153	304.33 157	395.39 168	356.32 167	1512.04 183	216.53 203	994.15 176	350.16 169	804.16 171	119.38 170	380.98 163	555.14 165	159.87 162	175.69 162

OpenMVS_ROB	1936.51 10	1959.51 200	2224.88 204	1163.39 211	1253.91 219	1434.22 225	7065.71 224	272.76 204	2472.29 215	1647.54 249	3538.72 221	200.37 191	1496.48 220	2575.17 221	997.45 239	559.48 201

PMVS	863.65 3	957.08 178	1054.11 187	666.00 192	401.00 170	495.00 177	3790.00 209	279.00 205	1607.00 204	521.00 186	1745.00 204	90.00 161	1105.00 215	639.00 171	415.00 200	398.00 197
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
DPM-MVS		3268.00 220	3762.89 223	1783.33 230	1756.00 233	1806.00 245	12319.00 257	307.00 206	6319.00 248	1557.00 240	5763.00 241	302.00 205	2609.00 243	5061.00 245	482.00 201	935.00 231

OPM-MVS		3268.00 220	3762.89 223	1783.33 230	1756.00 233	1806.00 245	12319.00 257	307.00 206	6319.00 248	1557.00 240	5763.00 241	302.00 205	2609.00 243	5061.00 245	482.00 201	935.00 231
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
test_0728_SECOND				1451.45 219	1725.60 228	1598.35 231	9203.30 241	315.86 208					2023.43 230	3973.88 234	620.04 206	732.56 211

test0726					1725.60 228	1598.35 231	9203.30 241	315.86 208	5016.02 237	1363.85 229	4894.28 235	387.23 214

SD-MVS		2654.53 212	3055.56 217	1451.45 219	1725.60 228	1598.35 231	9203.30 241	315.86 208	5016.02 237	1363.85 229	4894.28 235	387.23 214	2023.43 230	3973.88 234	620.04 206	732.56 211
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
tpmrst		2557.50 210	2847.12 213	1688.66 226	1784.08 236	1778.25 244	7445.50 231	342.14 211	4471.54 232	1534.55 236	4382.10 230	530.10 226	2361.21 237	4142.81 237	991.22 238	926.51 229

DVP-MVS++		3981.10 230	4731.32 235	1730.42 228	2191.51 247	1949.98 249	16473.90 266	355.33 212	7172.90 259	1622.98 247	7879.79 257	434.33 217	2428.11 239	5762.12 248	689.04 211	813.18 217

DVP-MVS		3981.10 230	4731.32 235	1730.42 228	2191.51 247	1949.98 249	16473.90 266	355.33 212	7172.90 259	1622.98 247	7879.79 257	434.33 217	2428.11 239	5762.12 248	689.04 211	813.18 217
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
COLMAP_ROB	2144.59 11	1658.33 198	1869.33 200	1025.33 208	1030.00 217	1023.00 221	5311.00 217	359.00 214	3044.00 218	937.00 209	2892.00 217	332.00 208	1440.00 219	2312.00 218	607.00 203	613.00 204
Johannes L. SchÃ¶nberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
AdaColmap		2570.77 211	2948.61 214	1437.24 218	1873.64 237	1526.60 228	7819.77 232	373.97 215	4970.45 235	1479.29 234	4648.46 232	525.80 225	1904.97 228	4150.42 238	695.69 216	880.14 227

tmp_tt		371.08 143	412.78 145	246.00 152	231.00 159	197.00 160	1293.00 179	376.00 216	756.00 169	609.00 194	71.00 132	106.00 168	195.00 157	102.00 138	171.00 166	346.00 190

ZD-MVS					1584.00 225	1821.00 247		378.00 217	3721.00 223	1231.00 224	1833.00 205	321.00 207	1224.00 217	2103.00 217	692.00 214

MVS-HIRNet		2125.39 202	2452.68 205	1143.53 210	2938.33 265	1446.92 226	6083.19 219	391.74 218	3801.71 224	1202.10 223	3439.72 219	492.73 222	1304.35 218	3048.25 225	676.32 209	679.32 210

F-COLMAP		1878.17 199	2113.11 202	1173.33 212	1231.00 218	1174.00 222	6297.00 220	392.00 219	3356.00 221	1087.00 219	3082.00 218	361.00 212	1670.00 221	2523.00 220	689.00 210	676.00 209

OpenMVS	2352.88 13	2263.08 204	2530.89 207	1459.67 221	1767.00 235	1591.00 230	7932.00 233	399.00 220	3643.00 222	1176.00 222	3569.00 222	297.00 203	1927.00 229	3302.00 226	693.00 215	861.00 223

CHOSEN 280x420		2340.81 206	2643.03 209	1434.14 215	2025.55 244	1629.36 234	6542.40 221	412.49 221	4219.70 228	1547.02 237	4328.52 227	650.74 238	1798.26 224	3333.17 227	727.72 217	874.79 224

CHOSEN 1792x2688		2340.81 206	2643.03 209	1434.14 215	2025.55 244	1629.36 234	6542.40 221	412.49 221	4219.70 228	1547.02 237	4328.52 227	650.74 238	1798.26 224	3333.17 227	727.72 217	874.79 224

HyFIR lowres test		2340.81 206	2643.03 209	1434.14 215	2025.55 244	1629.36 234	6542.40 221	412.49 221	4219.70 228	1547.02 237	4328.52 227	650.74 238	1798.26 224	3333.17 227	727.72 217	874.79 224

gg-mvs-nofinetune		594.69 154	605.37 156	562.67 181	617.29 189	500.33 178	772.30 162	413.12 224	579.21 161	552.71 188	567.40 157	662.54 243	531.67 173	503.93 160	779.80 221	656.02 205

TSAR-MVS + MP.		3528.01 223	4065.89 230	1914.35 233	2349.10 250	2141.30 254	12362.70 259	417.60 225	6717.80 254	1759.40 251	6497.50 244	518.18 224	2629.38 246	5164.32 247	806.40 228	972.38 236
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
SteuartSystems-ACMMP		2891.50 217	3284.78 220	1711.67 227	1954.00 238	1655.00 237	10117.00 254	445.00 226	5102.00 240	1375.00 233	5126.00 239	351.00 211	2638.00 247	4402.00 241	691.00 213	842.00 221
Skip Steuart: Steuart Systems R&D Blog.
PCF-MVS	4335.85 20	2272.23 205	2597.03 208	1297.84 213	1701.20 227	1332.37 223	8105.11 235	451.45 227	4031.84 226	1099.10 220	3966.50 225	467.45 220	1734.05 223	2701.68 223	848.94 230	827.11 220
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
TAPA-MVS	6309.84 21	3374.90 222	3806.99 225	2078.63 239	2535.47 255	2499.25 263	8816.16 239	456.05 228	6255.60 247	1664.52 250	6704.88 246	629.95 236	2768.38 248	6343.93 259	856.35 231	968.25 235
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
LF4IMVS		2699.50 214	3049.67 216	1649.00 225	1755.00 232	1689.00 238	8330.00 236	464.00 229	4997.00 236	1528.00 235	4763.00 234	568.00 229	2296.00 236	4215.00 239	827.00 229	962.00 234

Vis-MVSNet		2877.42 216	3170.00 219	1999.67 237	1673.00 226	2042.00 253	8593.00 238	474.00 230	6452.00 250	1268.00 227	5125.00 238	339.00 209	3004.00 251	4222.00 240	384.00 198	953.00 233
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
PLC	2858.82 16	2192.92 203	2474.00 206	1349.67 214	1407.00 223	1356.00 224	7164.00 225	475.00 231	3970.00 225	1237.00 226	3765.00 224	451.00 219	1891.00 227	3006.00 224	791.00 226	802.00 214
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
3Dnovator	2482.06 14	2531.17 209	2839.56 212	1606.00 223	1732.00 231	1557.00 229	8375.00 237	483.00 232	4370.00 231	1371.00 232	4200.00 226	350.00 210	2207.00 234	3877.00 233	798.00 227	1054.00 244

FOURS1					2643.17 256	2465.14 258	13996.40 261	493.26 233	7619.38 262	2107.24 255

MSC_two_6792asdad				2237.56 240	2643.17 256	2465.14 258		493.26 233					3088.29 256	6075.14 255	1078.39 248	1159.26 246

No_MVS				2237.56 240	2643.17 256	2465.14 258		493.26 233					3088.29 256	6075.14 255	1078.39 248	1159.26 246

test_one_0601					2643.17 256	2465.14 258		493.26 233	7619.38 262	2107.24 255	7416.93 253	610.24 233

SED-MVS		4062.74 233	4671.13 234	2237.56 240	2643.17 256	2465.14 258	13996.40 261	493.26 233	7619.38 262	2107.24 255	7416.93 253	610.24 233	3088.29 256	6075.14 255	1078.39 248	1159.26 246

FPMVS		1407.00 196	1495.59 198	1141.23 209	648.01 198	893.85 211	4124.00 211	503.81 238	3219.04 219	742.72 206	2498.84 215	157.98 175	1727.83 222	832.93 179	732.98 220	802.00 214

GG-mvs-BLEND				596.01 184	611.29 185	600.33 192	790.30 163	513.12 239		552.71 188	567.40 157	662.54 243	531.67 173	503.93 160	779.80 221	656.02 205

CR-MVSNet		612.36 156	617.81 159	596.01 184	611.29 185	600.33 192	790.30 163	513.12 239	579.21 161	552.71 188	567.40 157	662.54 243	531.67 173	503.93 160	779.80 221	656.02 205

IU-MVS					2725.60 261	2598.35 264		515.86 241	7016.02 255	2363.85 259				5973.88 251	1620.04 260	1732.56 256

test_241102_TWO								515.86 241	7016.02 255	2363.85 259	6894.28 247	887.23 251	3023.43 252	5973.88 251	1620.04 260	1732.56 256

test_241102_ONE					2725.60 261	2598.35 264		515.86 241	7016.02 255	2363.85 259	6894.28 247	887.23 251	3023.43 252

MSP-MVS		4296.20 234	4911.12 238	2451.45 248	2725.60 261	2598.35 264	16203.30 265	515.86 241	7016.02 255	2363.85 259	6894.28 247	887.23 251	3023.43 252	5973.88 251	1620.04 260	1732.56 256
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
MVS_111021_HR		3742.80 228	4330.34 231	1980.20 235	2484.31 253	2259.52 256	14973.80 264	515.90 245	6500.13 251	1949.21 254	6146.89 243	535.66 227	2593.66 242	4880.76 244	986.37 237	1087.43 245

DeepPCF-MVS	3452.42 18	2670.71 213	3021.57 215	1618.12 224	2377.67 251	1751.39 243	8915.70 240	567.44 246	4569.74 233	1236.84 225	4615.63 231	513.23 223	2291.32 235	3515.48 230	882.39 232	811.66 216

DeepC-MVS	3917.13 19	3155.06 219	3601.83 222	1814.72 232	2515.52 254	1941.53 248	10432.50 255	589.42 247	4789.45 234	1298.65 228	7677.31 256	578.35 230	2589.53 241	3611.78 232	923.52 235	913.10 228
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
RE-MVS-def			610.10 157		610.10 183	610.10 195	610.10 159	610.10 248	610.10 165	610.10 195	610.10 162	610.10 231		610.10 166	610.10 204	610.10 202

SR-MVS		610.10 155	610.10 157	610.10 186	610.10 183	610.10 195	610.10 159	610.10 248	610.10 165	610.10 195	610.10 162	610.10 231	610.10 189	610.10 166	610.10 204	610.10 202

RPMNet		787.26 171	829.13 164	661.63 190	885.90 205	895.90 212	455.98 157	610.10 248	1297.17 188	1002.26 217	1001.67 183	655.98 241	611.10 190	667.90 172	885.21 233	477.90 199

3Dnovator+	3414.41 17	3146.67 218	3537.00 221	1975.67 234	2310.00 249	2005.00 252	10100.00 253	626.00 251	5753.00 241	1803.00 252	5179.00 240	487.00 221	2622.00 245	4550.00 242	1025.00 247	1300.00 251

EGC-MVSNET		2819.75 215	3096.89 218	1988.33 236	3105.00 266	2241.00 255	9480.00 245	640.00 252	4209.00 227	1583.00 242	4740.00 233	547.00 228	2797.00 249	2644.00 222	924.00 236	927.00 230

JIA-IIPM		804.30 172	835.64 165	710.26 195	885.90 205	895.90 212	455.98 157	668.73 253	1297.17 188	1002.26 217	1001.67 183	655.98 241	756.98 196	667.90 172	885.21 233	477.90 199

ITE_SJBPF				2014.00 238	1998.00 239	1992.00 251		701.00 254	5989.00 242	1812.00 253	3612.00 223	650.00 237	2852.00 250	4601.00 243	1195.00 253	1198.00 250

CLD-MVS		7338.25 237	8341.00 240	4330.00 253	4902.00 269	4991.00 271	23318.00 269	728.00 255	14437.00 276	4378.00 268	13379.00 271	824.00 249	5708.00 267	11429.00 276	1674.00 264	2291.00 264
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
MAR-MVS		3973.16 229	4387.92 232	2728.86 250	3345.27 267	3341.39 270	11403.90 256	798.76 256	6555.62 253	2569.29 264	6514.86 245	834.97 250	3237.43 260	5891.08 250	1577.54 259	1607.76 252
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
OMC-MVS		5022.26 236	5748.82 239	2842.58 252	4905.27 270	3101.27 268	14933.60 263	812.24 257	9278.40 266	2959.29 266	8800.17 263	1092.24 263	3806.30 262	7568.54 267	1389.60 258	1620.18 254

CMPMVS	2623.62 15	1983.08 201	2156.14 203	1463.89 222	1414.80 224	1517.00 227	5239.20 216	867.40 258	3310.30 220	1128.70 221	3489.90 220	366.75 213	2030.20 233	2427.60 219	1160.60 252	844.46 222
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
tpm2		3617.85 224	4007.23 226	2449.73 244	2012.71 240	1698.05 239	7351.19 227	869.29 259	6132.06 243	1588.28 243	8007.42 259	1281.09 265	3888.11 263	7472.04 263	1351.00 254	1763.02 260

tpm cat1		3617.85 224	4007.23 226	2449.73 244	2012.71 240	1698.05 239	7351.19 227	869.29 259	6132.06 243	1588.28 243	8007.42 259	1281.09 265	3888.11 263	7472.04 263	1351.00 254	1763.02 260

CostFormer		3617.85 224	4007.23 226	2449.73 244	2012.71 240	1698.05 239	7351.19 227	869.29 259	6132.06 243	1588.28 243	8007.42 259	1281.09 265	3888.11 263	7472.04 263	1351.00 254	1763.02 260

tpm		3617.85 224	4007.23 226	2449.73 244	2012.71 240	1698.05 239	7351.19 227	869.29 259	6132.06 243	1588.28 243	8007.42 259	1281.09 265	3888.11 263	7472.04 263	1351.00 254	1763.02 260

API-MVS		4380.83 235	4906.56 237	2803.67 251	3844.00 268	3116.00 269	13454.00 260	901.00 263	6511.00 252	2794.00 265	7365.00 252	754.00 247	3634.00 261	6622.00 260	1914.00 265	1661.00 255

ambc				999.00 201	999.00 210	999.00 214	999.00 168	999.00 264		999.00 210	999.00 176	999.00 256	999.00 206	999.00 185	999.00 240	999.00 237

OurMVSNet-221017-0		999.00 181	999.00 180	999.00 201	999.00 210	999.00 214	999.00 168	999.00 264	999.00 177	999.00 210	999.00 176	999.00 256	999.00 206	999.00 185	999.00 240	999.00 237

EPMVS		999.00 181	999.00 180	999.00 201	999.00 210	999.00 214	999.00 168	999.00 264	999.00 177	999.00 210	999.00 176	999.00 256	999.00 206	999.00 185	999.00 240	999.00 237

uanet_test		1000.00 183	1000.00 182	1000.00 204	1000.00 213	1000.00 217	1000.00 171	1000.00 267	1000.00 179	1000.00 213	1000.00 179	1000.00 259	1000.00 209	1000.00 188	1000.00 243	1000.00 240

sosnet		1000.00 183	1000.00 182	1000.00 204	1000.00 213	1000.00 217	1000.00 171	1000.00 267	1000.00 179	1000.00 213	1000.00 179	1000.00 259	1000.00 209	1000.00 188	1000.00 243	1000.00 240

USDC		1000.00 183	1000.00 182	1000.00 204	1000.00 213	1000.00 217	1000.00 171	1000.00 267	1000.00 179	1000.00 213	1000.00 179	1000.00 259	1000.00 209	1000.00 188	1000.00 243	1000.00 240

TinyColmap		1000.00 183	1000.00 182	1000.00 204	1000.00 213	1000.00 217	1000.00 171	1000.00 267	1000.00 179	1000.00 213	1000.00 179	1000.00 259	1000.00 209	1000.00 188	1000.00 243	1000.00 240

Patchmtry		1090.75 188	1198.88 190	766.38 199	1290.90 220	485.90 176	2423.98 199	1267.30 271	1297.17 188	923.90 207	923.40 174	1215.54 264	990.23 204	667.90 172	779.80 221	823.02 219

PatchT		856.34 175	860.99 168	842.38 200	1290.90 220	880.90 210	790.30 163	1267.30 271	579.21 161	923.90 207	567.40 157	662.54 243	990.23 204	887.56 180	779.80 221	656.02 205

LS3D		7684.71 238	8776.23 241	4410.16 254	5298.55 271	5631.53 272	34329.90 271	1504.57 273	11554.00 275	3896.41 267	15111.00 272	812.19 248	5985.63 268	3516.20 231	2963.23 267	1613.31 253

CNLPA		10738.67 247	11772.44 250	7637.33 255	9120.00 273	8206.00 273	22252.00 268	2010.00 274	24984.00 277	7458.00 270	22596.00 274	2940.00 270	10260.00 276	11100.00 275	3492.00 268	4446.00 266

GST-MVS		4000.00 232	4533.33 233	2400.00 243	2400.00 252	2400.00 257	7200.00 226	2400.00 275	7200.00 261	2400.00 263	7200.00 251	2400.00 269	2400.00 238	7200.00 261	2400.00 266	2400.00 265

MVE	10021.00 22	10550.67 246	10002.44 249	12195.33 263	6242.00 272	8768.00 274	30896.00 270	4451.00 276	10331.00 274	6247.00 269	18296.00 273	283.00 202	21484.00 277	7364.00 262	5912.00 269	6334.00 267
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
LTVRE_ROB	20565.47 23	23378.08 248	22805.00 251	25097.33 264	15500.00 281	19201.00 282	42712.00 272	6055.00 277	38388.00 278	16926.00 278	38534.00 275	7071.00 271	35653.00 278	29475.00 277	10584.00 277	20438.00 276
Andreas Kuhn, Heiko HirschmÃ¼ller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016
MSDG		32606.17 249	34443.44 252	27094.33 265	29249.00 282	25246.00 283	51144.00 273	6705.00 278	42886.00 279	22888.00 279	48534.00 276	13263.00 279	37507.00 279	79298.00 278	16024.00 278	18530.00 275

ZNCC-MVS		9999.00 239	9999.00 242	9999.00 256	9999.00 274	9999.00 275	9999.00 246	9999.00 279	9999.00 267	9999.00 271	9999.00 264	9999.00 272	9999.00 269	9999.00 268	9999.00 270	9999.00 268

patch_mono-2		10000.00 240	10000.00 243	10000.00 257	10000.00 275	10000.00 276	10000.00 247	10000.00 280	10000.00 268	10000.00 272	10000.00 265	10000.00 273	10000.00 270	10000.00 269	10000.00 271	10000.00 269

dcpmvs_2		10000.00 240	10000.00 243	10000.00 257	10000.00 275	10000.00 276	10000.00 247	10000.00 280	10000.00 268	10000.00 272	10000.00 265	10000.00 273	10000.00 270	10000.00 269	10000.00 271	10000.00 269

DCPMVS		10000.00 240	10000.00 243	10000.00 257	10000.00 275	10000.00 276	10000.00 247	10000.00 280	10000.00 268	10000.00 272	10000.00 265	10000.00 273	10000.00 270	10000.00 269	10000.00 271	10000.00 269

UA-Net		10000.00 240	10000.00 243	10000.00 257	10000.00 275	10000.00 276	10000.00 247	10000.00 280	10000.00 268	10000.00 272	10000.00 265	10000.00 273	10000.00 270	10000.00 269	10000.00 271	10000.00 269

uncertanet		10000.00 240	10000.00 243	10000.00 257	10000.00 275	10000.00 276	10000.00 247	10000.00 280	10000.00 268	10000.00 272	10000.00 265	10000.00 273	10000.00 270	10000.00 269	10000.00 271	10000.00 269

uanet		10000.00 240	10000.00 243	10000.00 257	10000.00 275	10000.00 276	10000.00 247	10000.00 280	10000.00 268	10000.00 272	10000.00 265	10000.00 273	10000.00 270	10000.00 269	10000.00 271	10000.00 269

114514_t		99999.00 250	99999.00 253	99999.00 266	99999.00 283	99999.00 284	99999.00 274	99999.00 286	99999.00 280	99999.00 280	99999.00 277	99999.00 280	99999.00 280	99999.00 279	99999.00 279	99999.00 277

PHI-MVS		99999.00 250	99999.00 253	99999.00 266	99999.00 283	99999.00 284	99999.00 274	99999.00 286	99999.00 280	99999.00 280	99999.00 277	99999.00 280	99999.00 280	99999.00 279	99999.00 279	99999.00 277

XVG-OURS-SEG-HR		999999.00 254	999999.00 255	999999.00 268	999999.00 285	999999.00 286	999999.00 276	999999.00 288	999999.00 282	999999.00 282	999999.00 279	999999.00 282	999999.00 282	999999.00 281	999999.00 281	999999.00 279

XVG-OURS		999999.00 254	999999.00 255	999999.00 268	999999.00 285	999999.00 286	999999.00 276	999999.00 288	999999.00 282	999999.00 282	999999.00 279	999999.00 282	999999.00 282	999999.00 281	999999.00 281	999999.00 279

XVG-ACMP-BASELINE		999999.00 254	999999.00 255	999999.00 268	999999.00 285	999999.00 286	999999.00 276	999999.00 288	999999.00 282	999999.00 282	999999.00 279	999999.00 282	999999.00 282	999999.00 281	999999.00 281	999999.00 279

dmvs_re		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

SDMVSNet		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

dmvs_testset		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

sd_testset		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

iter_conf_final		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

bld_raw_dy_0_64		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

test2506		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

test1111		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

ECVR-MVS		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

test_blank		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

tt0805		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

Anonymous20240521		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

cl22		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

miper_ehance_all_eth		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

miper_enhance_ethall		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

cl____		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

DIV-MVS_self_test		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

eth_miper_zixun_eth		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

ET-MVSNet_ETH3D		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

UniMVSNet_ETH3D		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

miper_lstm_enhance		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

D2MVS		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

test_yl		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

thisisatest0530		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

Anonymous20240529		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

Anonymous202405211		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

DCV-MVSNet		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

tttt0517		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

our_test_3		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

thisisatest0515		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

ppachtmachnet_test		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

SMA-MVS		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282
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
DPE-MVS		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view900		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

tfpnnormal		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

tfpn200view9		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

c3_l		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

IterMVS-SCA-FT		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

MTGPA								10000000.00 291

pmmvs6		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

pmmvs5		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

Anonymous20231211		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

pmmvs-eth3d		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

Anonymous20231206		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

MTAPA		833442.10 253	1111233.77 259	67.09 131	65.59 138	64.81 141	284.50 140	10000000.00 291	219.97 143	59.62 139	229.89 147	12.72 132	103.00 152	203.67 153	27.93 132	33.46 131

MTMP							10000000.00 279	10000000.00 291

SCA		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

Patchmatch-test		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

Patchmatch-RL test		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

canonicalmvs		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

anonymousdsp		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

FIs		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

FC-MVSNet-test		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

sosnet-low-res		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

AllTest		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

TestCases				10000000.00 271	10000000.00 288	10000000.00 289		10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

iter_conf05		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

RRT_MVS		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

HPM-MVS++		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

XVS		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

pm-mvs1		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

X-MVStestdata		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

APDe-MVS		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

APD-MVS_3200maxsize		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

pmmvs4		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

test-LLR		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

TESTMET0.1,1		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

test-mter		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

testgi		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

test20.03		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

thres600view7		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

MP-MVS		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

thres400		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

test123		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

thres200		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

test0.0.03 1		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

pmmvs3		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

EMVS		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

E-PMN		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

PGM-MVS		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

MCST-MVS		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

MVS_Test		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

PMMVS2		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

PM-MVS		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

HQP_MVS		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

plane_prior5								10000000.00 291					10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

mPP-MVS		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

mvsmamba		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

HPM-MVS_fast		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

HPM-MVS		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

LGP-MVS_train				10000000.00 271	10000000.00 288	10000000.00 289		10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

EPNet_dtu		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP3-MVS								10000000.00 291							10000000.00 284

CNVR-MVS		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

NCCC		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

CP-MVS		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

CPTT-MVS		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

HQP-MVS		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

IS-MVSNet		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

PAPM_NR		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

PAPR		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

Vis-MVSNet (Re-imp)		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

PatchMatch-RL		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

TDRefinement		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

EPP-MVSNet		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

PMMVS		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

PAPM		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

ACMMP		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282
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
ANet_high		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

wuyk23d		10000000.00 257	10000000.00 260	10000000.00 271	10000000.00 288	10000000.00 289	10000000.00 279	10000000.00 291	10000000.00 285	10000000.00 285	10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284	10000000.00 284	10000000.00 282

APD-MVS		1000000000.00 363	1000000000.00 366	1000000000.00 379	1000000000.00 404	1000000000.00 403	1000000000.00 390	1000000000.00 404	1000000000.00 397	1000000000.00 398	1000000000.00 395	1000000000.00 400	1000000000.00 398	1000000000.00 396	1000000000.00 396	1000000000.00 394
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
PC_three_1452									7619.38 262	2107.24 255	7416.93 253	610.24 233	3088.29 256	6075.14 255	1078.39 248	1159.26 246

eth-test2					1.42 74

eth-test					10000000.00 288

OPU-MVS				2451.45 248	2725.60 261	2598.35 264	9203.30 241				6894.28 247	887.23 251	3023.43 252	5973.88 251	1620.04 260	1732.56 256

test_0728_THIRD									5016.02 237	1363.85 229	4894.28 235	387.23 214	2023.43 230	3973.88 234	620.04 206	732.56 211

GSMVS																10000000.00 282

test_part2					10000000.00 288	10000000.00 289				10000000.00 285

sam_mvs1												10000000.00 285				10000000.00 282

sam_mvs												10000000.00 285

test_post1							10000000.00 279				10000000.00 282	10000000.00 285	10000000.00 285	10000000.00 284

test_post											10000000.00 282	10000000.00 285	10000000.00 285

patchmatchnet-post											10000000.00 282	10000000.00 285	10000000.00 285

gm-plane-assit					611.29 185	600.33 192			579.21 161		567.40 157		531.67 173	503.93 160

test9_res														0.00 1	0.00 1	0.00 1

agg_prior2														0.00 1	0.00 1	0.00 1

test_prior4						0.00 1	0.00 1

test_prior2							0.00 1		0.00 1	0.00 1	0.00 1	0.00 1		0.00 1	0.00 1

旧先验2							0.00 1		0.00 1	0.00 1			0.00 1	0.00 1

新几何2							0.00 1

原ACMM2							0.00 1

testdata2													0.00 1	0.00 1

segment_acmp												0.00 1

testdata1							0.00 1		0.00 1

plane_prior7					10000000.00 288	10000000.00 289

plane_prior6					10000000.00 288	10000000.00 289						10000000.00 285

plane_prior4											10000000.00 282

plane_prior3						10000000.00 289			10000000.00 285	10000000.00 285

plane_prior2							10000000.00 279		10000000.00 285

plane_prior1					10000000.00 288

plane_prior						1.00 68	2.00 96		2.00 97						2.00 95

HQP5-MVS						10000000.00 289

HQP-NCC					10000000.00 288		10000000.00 279		10000000.00 285	10000000.00 285

ACMP_Plane					10000000.00 288		10000000.00 279		10000000.00 285	10000000.00 285

BP-MVS														10000000.00 284

HQP4-MVS										10000000.00 285			10000000.00 285			10000000.00 282

HQP2-MVS												10000000.00 285

NP-MVS					10000000.00 288	10000000.00 289					10000000.00 282

MDTV_nov1_ep13_2view						9.99 118	9.99 116		9.99 117	9.99 116		9.99 118		9.99 114		9.99 117

ACMMP++_ref															10000000.00 284

ACMMP++															10000000.00 284

Test By Simon												990.00 255

High-resolution multi-view benchmark