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.

xxxxxxxxxxxxxcwj		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

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

ETH3D cwj APD-0.16		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

ETH3 D test6400		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	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

ETH3D-3000-0.1		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	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

agg_prior1		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	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

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#		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	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_prior3		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	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

1121		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	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

abl_6		0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	0.00 1	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

AUN-MVS		0.30 17	0.30 18	0.30 22	0.30 29	0.30 29	0.30 29	0.30 30	0.30 29	0.30 28	0.30 26	0.30 28	0.30 29	0.30 27	0.30 27	0.30 27

LCM-MVSNet		0.37 18	0.36 19	0.37 23	0.37 30	0.37 30	0.37 30	0.32 31	0.37 30	0.37 29	0.37 27	0.37 29	0.37 30	0.37 28	0.37 28	0.37 28

Fast-Effi-MVS+		0.41 31	0.40 20	0.41 36	0.41 43	0.41 43	0.41 43	0.35 32	0.41 43	0.41 42	0.41 40	0.41 42	0.41 43	0.41 41	0.41 41	0.41 41

v144192		0.40 19	0.40 20	0.40 24	0.40 31	0.40 31	0.40 31	0.40 33	0.40 31	0.40 30	0.40 28	0.40 30	0.40 31	0.40 29	0.40 29	0.40 29

v1921920		0.40 19	0.40 20	0.40 24	0.40 31	0.40 31	0.40 31	0.40 33	0.40 31	0.40 30	0.40 28	0.40 30	0.40 31	0.40 29	0.40 29	0.40 29

v1192		0.40 19	0.40 20	0.40 24	0.40 31	0.40 31	0.40 31	0.40 33	0.40 31	0.40 30	0.40 28	0.40 30	0.40 31	0.40 29	0.40 29	0.40 29

v1144		0.40 19	0.40 20	0.40 24	0.40 31	0.40 31	0.40 31	0.40 33	0.40 31	0.40 30	0.40 28	0.40 30	0.40 31	0.40 29	0.40 29	0.40 29

v148		0.40 19	0.40 20	0.40 24	0.40 31	0.40 31	0.40 31	0.40 33	0.40 31	0.40 30	0.40 28	0.40 30	0.40 31	0.40 29	0.40 29	0.40 29

v7n		0.40 19	0.40 20	0.40 24	0.40 31	0.40 31	0.40 31	0.40 33	0.40 31	0.40 30	0.40 28	0.40 30	0.40 31	0.40 29	0.40 29	0.40 29

v1240		0.40 19	0.40 20	0.40 24	0.40 31	0.40 31	0.40 31	0.40 33	0.40 31	0.40 30	0.40 28	0.40 30	0.40 31	0.40 29	0.40 29	0.40 29

v8		0.40 19	0.40 20	0.40 24	0.40 31	0.40 31	0.40 31	0.40 33	0.40 31	0.40 30	0.40 28	0.40 30	0.40 31	0.40 29	0.40 29	0.40 29

v10		0.40 19	0.40 20	0.40 24	0.40 31	0.40 31	0.40 31	0.40 33	0.40 31	0.40 30	0.40 28	0.40 30	0.40 31	0.40 29	0.40 29	0.40 29

v2v482		0.40 19	0.40 20	0.40 24	0.40 31	0.40 31	0.40 31	0.40 33	0.40 31	0.40 30	0.40 28	0.40 30	0.40 31	0.40 29	0.40 29	0.40 29

V42		0.40 19	0.40 20	0.40 24	0.40 31	0.40 31	0.40 31	0.40 33	0.40 31	0.40 30	0.40 28	0.40 30	0.40 31	0.40 29	0.40 29	0.40 29

GA-MVS		0.40 19	0.40 20	0.40 24	0.40 31	0.40 31	0.40 31	0.40 33	0.40 31	0.40 30	0.40 28	0.40 30	0.40 31	0.40 29	0.40 29	0.40 29

Fast-Effi-MVS+-dtu		0.44 32	0.44 33	0.44 37	0.44 44	0.44 44	0.44 44	0.44 45	0.44 44	0.44 43	0.44 41	0.44 43	0.44 44	0.44 42	0.44 42	0.44 42

Effi-MVS+		0.58 33	0.56 34	0.62 40	0.53 45	0.62 47	0.53 45	0.53 46	0.53 45	0.62 46	0.62 44	0.53 44	0.62 47	0.62 44	0.53 43	0.62 45

CL-MVSNet_2432*1600		0.60 35	0.60 35	0.60 39	0.60 46	0.60 46	0.60 47	0.60 47	0.60 46	0.60 45	0.60 43	0.60 45	0.60 46	0.60 43	0.60 45	0.60 44

Effi-MVS+-dtu		0.59 34	0.61 36	0.53 38	0.68 50	0.53 45	0.53 45	0.68 51	0.68 50	0.53 44	0.53 42	0.68 49	0.53 45	0.68 48	0.53 43	0.53 43

EIA-MVS		0.62 36	0.62 37	0.62 40	0.62 47	0.62 47	0.62 48	0.62 48	0.62 47	0.62 46	0.62 44	0.62 46	0.62 47	0.62 44	0.62 46	0.62 45

ETV-MVS		0.62 36	0.62 37	0.62 40	0.62 47	0.62 47	0.62 48	0.62 48	0.62 47	0.62 46	0.62 44	0.62 46	0.62 47	0.62 44	0.62 46	0.62 45

CS-MVS		0.62 36	0.62 37	0.62 40	0.62 47	0.62 47	0.62 48	0.62 48	0.62 47	0.62 46	0.62 44	0.62 46	0.62 47	0.62 44	0.62 46	0.62 45

mvs-test1		0.68 39	0.68 40	0.68 44	0.68 50	0.68 51	0.68 51	0.68 51	0.68 50	0.68 50	0.68 48	0.68 49	0.68 51	0.68 48	0.68 49	0.68 49

CDS-MVSNet		0.88 40	0.88 41	0.88 45	0.88 52	0.88 52	0.88 52	0.88 53	0.88 52	0.88 51	0.88 49	0.88 51	0.88 52	0.88 50	0.88 50	0.88 50
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS		0.88 40	0.88 41	0.88 45	0.88 52	0.88 52	0.88 52	0.88 53	0.88 52	0.88 51	0.88 49	0.88 51	0.88 52	0.88 50	0.88 50	0.88 50

LCM-MVSNet-Re		0.89 42	0.89 43	0.89 47	0.89 54	0.89 54	0.89 54	0.89 55	0.89 54	0.89 53	0.89 51	0.89 53	0.89 54	0.89 52	0.89 52	0.89 52

MDA-MVSNet-bldmvs		1.20 43	1.20 44	1.20 49	1.20 56	1.20 57	1.20 55	1.20 58	1.20 56	1.20 55	1.20 53	1.20 55	1.20 56	1.20 54	1.20 54	1.20 54

YYNet1		1.20 43	1.20 44	1.20 49	1.20 56	1.20 57	1.20 55	1.20 58	1.20 56	1.20 55	1.20 53	1.20 55	1.20 56	1.20 54	1.20 54	1.20 54

MDA-MVSNet_test_wron		1.20 43	1.20 44	1.20 49	1.20 56	1.20 57	1.20 55	1.20 58	1.20 56	1.20 55	1.20 53	1.20 55	1.20 56	1.20 54	1.20 54	1.20 54

EI-MVSNet-UG-set		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

EI-MVSNet-Vis-set		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

Regformer-3		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

Regformer-4		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

Regformer-1		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

Regformer-2		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

EI-MVSNet		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

Regformer		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

CVMVSNet		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

EU-MVSNet		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

PS-CasMVS		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

UniMVSNet_NR-MVSNet		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

PEN-MVS		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

TransMVSNet (Re)		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

DTE-MVSNet		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

DU-MVS		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

UniMVSNet (Re)		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

CP-MVSNet		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

WR-MVS_H		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

WR-MVS		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

NR-MVSNet		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

Baseline_NR-MVSNet		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

TranMVSNet+NR-MVSNet		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

MVSFormer		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

jason		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57
jason: jason.
lupinMVS		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

test_djsdf		1.42 46	1.42 47	1.42 52	1.42 59	1.42 60	1.42 58	1.42 61	1.42 59	1.42 58	1.42 56	1.42 58	1.42 59	1.42 57	1.42 57	1.42 57

alignmvs		2.00 73	2.00 74	2.00 79	2.00 86	2.00 87	2.00 85	2.00 90	2.00 86	2.00 85	2.00 83	2.00 85	2.00 86	2.00 84	2.00 84	2.00 84

nrg030		2.00 73	2.00 74	2.00 79	2.00 86	2.00 87	2.00 85	2.00 90	2.00 86	2.00 85	2.00 83	2.00 85	2.00 86	2.00 84	2.00 84	2.00 84

LFMVS		2.00 73	2.00 74	2.00 79	2.00 86	2.00 87	2.00 85	2.00 90	2.00 86	2.00 85	2.00 83	2.00 85	2.00 86	2.00 84	2.00 84	2.00 84

VDD-MVS		2.00 73	2.00 74	2.00 79	2.00 86	2.00 87	2.00 85	2.00 90	2.00 86	2.00 85	2.00 83	2.00 85	2.00 86	2.00 84	2.00 84	2.00 84

VDDNet		2.00 73	2.00 74	2.00 79	2.00 86	2.00 87	2.00 85	2.00 90	2.00 86	2.00 85	2.00 83	2.00 85	2.00 86	2.00 84	2.00 84	2.00 84

VPNet		2.00 73	2.00 74	2.00 79	2.00 86	2.00 87	2.00 85	2.00 90	2.00 86	2.00 85	2.00 83	2.00 85	2.00 86	2.00 84	2.00 84	2.00 84

VNet		2.00 73	2.00 74	2.00 79	2.00 86	2.00 87	2.00 85	2.00 90	2.00 86	2.00 85	2.00 83	2.00 85	2.00 86	2.00 84	2.00 84	2.00 84

VPA-MVSNet		2.00 73	2.00 74	2.00 79	2.00 86	2.00 87	2.00 85	2.00 90	2.00 86	2.00 85	2.00 83	2.00 85	2.00 86	2.00 84	2.00 84	2.00 84

cascas		2.00 73	2.00 74	2.00 79	2.00 86	2.00 87	2.00 85	2.00 90	2.00 86	2.00 85	2.00 83	2.00 85	2.00 86	2.00 84	2.00 84	2.00 84

UnsupCasMVSNet_eth		5.90 82	5.90 83	5.90 88	5.90 95	5.90 96	5.90 95	5.90 100	5.90 96	5.90 94	5.90 92	5.90 95	5.90 95	5.90 93	5.90 95	5.90 94

UnsupCasMVSNet_bld		5.90 82	5.90 83	5.90 88	5.90 95	5.90 96	5.90 95	5.90 100	5.90 96	5.90 94	5.90 92	5.90 95	5.90 95	5.90 93	5.90 95	5.90 94

WTY-MVS		5.90 82	5.90 83	5.90 88	5.90 95	5.90 96	5.90 95	5.90 100	5.90 96	5.90 94	5.90 92	5.90 95	5.90 95	5.90 93	5.90 95	5.90 94

HY-MVS	5.90 1	5.90 82	5.90 83	5.90 88	5.90 95	5.90 96	5.90 95	5.90 100	5.90 96	5.90 94	5.90 92	5.90 95	5.90 95	5.90 93	5.90 95	5.90 94

sss		5.90 82	5.90 83	5.90 88	5.90 95	5.90 96	5.90 95	5.90 100	5.90 96	5.90 94	5.90 92	5.90 95	5.90 95	5.90 93	5.90 95	5.90 94

Test_1112_low_res		5.90 82	5.90 83	5.90 88	5.90 95	5.90 96	5.90 95	5.90 100	5.90 96	5.90 94	5.90 92	5.90 95	5.90 95	5.90 93	5.90 95	5.90 94

1112_ss		5.90 82	5.90 83	5.90 88	5.90 95	5.90 96	5.90 95	5.90 100	5.90 96	5.90 94	5.90 92	5.90 95	5.90 95	5.90 93	5.90 95	5.90 94

ab-mvs-re		5.90 82	5.90 83	5.90 88	5.90 95	5.90 96	5.90 95	5.90 100	5.90 96	5.90 94	5.90 92	5.90 95	5.90 95	5.90 93	5.90 95	5.90 94

ab-mvs		5.90 82	5.90 83	5.90 88	5.90 95	5.90 96	5.90 95	5.90 100	5.90 96	5.90 94	5.90 92	5.90 95	5.90 95	5.90 93	5.90 95	5.90 94

CDPH-MVS		6.66 91	6.66 92	6.66 97	6.66 104	6.66 105	6.66 104	6.66 109	6.66 105	6.66 103	6.66 101	6.66 104	6.66 104	6.66 102	6.66 104	6.66 103

MDTV_nov1_ep13			9.99 93		9.99 105	9.99 107	9.99 105	9.99 111	9.99 106	9.99 105	9.99 102	9.99 105	9.99 106	9.99 103	9.99 105

xiu_mvs_v1_base_debu		10.28 92	10.28 94	10.28 99	10.28 106	10.28 109	10.28 107	10.28 112	10.28 108	10.28 107	10.28 103	10.28 107	10.28 107	10.28 105	10.28 106	10.28 105

xiu_mvs_v2_base		10.28 92	10.28 94	10.28 99	10.28 106	10.28 109	10.28 107	10.28 112	10.28 108	10.28 107	10.28 103	10.28 107	10.28 107	10.28 105	10.28 106	10.28 105

xiu_mvs_v1_base		10.28 92	10.28 94	10.28 99	10.28 106	10.28 109	10.28 107	10.28 112	10.28 108	10.28 107	10.28 103	10.28 107	10.28 107	10.28 105	10.28 106	10.28 105

xiu_mvs_v1_base_debi		10.28 92	10.28 94	10.28 99	10.28 106	10.28 109	10.28 107	10.28 112	10.28 108	10.28 107	10.28 103	10.28 107	10.28 107	10.28 105	10.28 106	10.28 105

cdsmvs_eth3d_5k		10.28 92	10.28 94	10.28 99	10.28 106	10.28 109	10.28 107	10.28 112	10.28 108	10.28 107	10.28 103	10.28 107	10.28 107	10.28 105	10.28 106	10.28 105

pcd_1.5k_mvsjas		10.28 92	10.28 94	10.28 99	10.28 106	10.28 109	10.28 107	10.28 112	10.28 108	10.28 107	10.28 103	10.28 107	10.28 107	10.28 105	10.28 106	10.28 105

PS-MVSNAJss		10.28 92	10.28 94	10.28 99	10.28 106	10.28 109	10.28 107	10.28 112	10.28 108	10.28 107	10.28 103	10.28 107	10.28 107	10.28 105	10.28 106	10.28 105

PS-MVSNAJ		10.28 92	10.28 94	10.28 99	10.28 106	10.28 109	10.28 107	10.28 112	10.28 108	10.28 107	10.28 103	10.28 107	10.28 107	10.28 105	10.28 106	10.28 105

jajsoiax		10.28 92	10.28 94	10.28 99	10.28 106	10.28 109	10.28 107	10.28 112	10.28 108	10.28 107	10.28 103	10.28 107	10.28 107	10.28 105	10.28 106	10.28 105

mvs_tets		10.28 92	10.28 94	10.28 99	10.28 106	10.28 109	10.28 107	10.28 112	10.28 108	10.28 107	10.28 103	10.28 107	10.28 107	10.28 105	10.28 106	10.28 105

SR-MVS-dyc-post		11.55 102	11.55 104	11.55 109	11.55 117	11.55 119	11.55 117	11.55 124	11.55 118	11.55 117	11.55 113	11.55 118	11.55 117	11.55 115	11.55 116	11.55 115

XXY-MVS		15.00 103	15.00 105	15.00 110	15.00 118	15.00 120	15.00 118	15.00 126	15.00 119	15.00 118	15.00 114	15.00 123	15.00 118	15.00 117	15.00 118	15.00 117

BH-w/o		40.00 104	40.00 106	40.00 112	40.00 119	40.00 121	40.00 120	40.00 143	40.00 120	40.00 120	40.00 115	40.00 141	40.00 120	40.00 118	40.00 134	40.00 129

BH-untuned		40.00 104	40.00 106	40.00 112	40.00 119	40.00 121	40.00 120	40.00 143	40.00 120	40.00 120	40.00 115	40.00 141	40.00 120	40.00 118	40.00 134	40.00 129

BH-RMVSNet		40.00 104	40.00 106	40.00 112	40.00 119	40.00 121	40.00 120	40.00 143	40.00 120	40.00 120	40.00 115	40.00 141	40.00 120	40.00 118	40.00 134	40.00 129

TR-MVS		40.00 104	40.00 106	40.00 112	40.00 119	40.00 121	40.00 120	40.00 143	40.00 120	40.00 120	40.00 115	40.00 141	40.00 120	40.00 118	40.00 134	40.00 129

GBi-Net		44.67 108	49.24 110	30.96 111	47.53 123	47.57 125	126.09 124	8.00 110	76.99 124	26.09 119	73.50 120	11.27 117	30.55 119	61.12 122	12.58 117	14.75 116

new_pmnet		88.14 110	98.62 111	56.70 116	98.14 132	56.07 126	246.79 126	15.37 127	148.06 125	50.77 124	143.13 121	23.35 124	62.65 124	93.26 123	68.71 141	51.38 140

N_pmnet		88.14 110	98.62 111	56.70 116	98.14 132	56.07 126	246.79 126	15.37 127	148.06 125	50.77 124	143.13 121	23.35 124	62.65 124	93.26 123	68.71 141	51.38 140

dp		87.20 109	113.80 113	7.42 98	10.50 116	8.88 106	298.82 132	2.70 99	510.35 148	7.79 104	172.93 123	3.37 94	9.16 105	14.00 116	3.71 94	4.23 93

CANet		110.62 112	124.04 114	70.34 120	82.03 128	74.27 132	325.54 133	25.25 129	207.16 128	69.28 130	194.38 124	27.53 126	95.79 134	147.76 127	37.43 123	40.97 133

CANet_DTU		110.62 112	124.04 114	70.34 120	82.03 128	74.27 132	325.54 133	25.25 129	207.16 128	69.28 130	194.38 124	27.53 126	95.79 134	147.76 127	37.43 123	40.97 133

MVS_0304		110.62 112	124.04 114	70.34 120	82.03 128	74.27 132	325.54 133	25.25 129	207.16 128	69.28 130	194.38 124	27.53 126	95.79 134	147.76 127	37.43 123	40.97 133

UGNet		110.62 112	124.04 114	70.34 120	82.03 128	74.27 132	325.54 133	25.25 129	207.16 128	69.28 130	194.38 124	27.53 126	95.79 134	147.76 127	37.43 123	40.97 133
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022
ACMMP_NAP		118.81 116	133.18 118	75.70 124	74.28 126	73.29 130	284.50 128	11.35 122	238.58 134	65.86 128	255.35 141	14.55 121	115.69 144	222.18 143	31.94 121	38.12 127

FMVSNet5		124.76 117	140.93 119	76.26 126	107.44 135	100.17 140	329.88 137	27.12 136	259.44 139	74.30 134	204.34 128	30.74 130	92.41 127	196.98 131	38.15 127	36.19 120

test1		124.76 117	140.93 119	76.26 126	107.44 135	100.17 140	329.88 137	27.12 136	259.44 139	74.30 134	204.34 128	30.74 130	92.41 127	196.98 131	38.15 127	36.19 120

FMVSNet3		124.76 117	140.93 119	76.26 126	107.44 135	100.17 140	329.88 137	27.12 136	259.44 139	74.30 134	204.34 128	30.74 130	92.41 127	196.98 131	38.15 127	36.19 120

FMVSNet2		124.76 117	140.93 119	76.26 126	107.44 135	100.17 140	329.88 137	27.12 136	259.44 139	74.30 134	204.34 128	30.74 130	92.41 127	196.98 131	38.15 127	36.19 120

FMVSNet1		124.76 117	140.93 119	76.26 126	107.44 135	100.17 140	329.88 137	27.12 136	259.44 139	74.30 134	204.34 128	30.74 130	92.41 127	196.98 131	38.15 127	36.19 120

MIMVSNet1		124.76 117	140.93 119	76.26 126	107.44 135	100.17 140	329.88 137	27.12 136	259.44 139	74.30 134	204.34 128	30.74 130	92.41 127	196.98 131	38.15 127	36.19 120

MIMVSNet		124.76 117	140.93 119	76.26 126	107.44 135	100.17 140	329.88 137	27.12 136	259.44 139	74.30 134	204.34 128	30.74 130	92.41 127	196.98 131	38.15 127	36.19 120

DSMNet-mixed		131.33 124	143.00 126	96.33 137	99.00 134	81.00 136	201.00 125	45.00 147	335.00 146	99.00 144	251.00 140	38.00 140	110.00 143	120.00 126	99.00 144	98.00 143

PVSNet_Blended_VisFu		136.90 125	155.40 127	81.40 133	111.00 142	96.20 137	407.00 144	25.90 133	251.60 136	85.10 141	240.50 137	37.00 137	99.90 138	199.80 138	40.70 138	48.10 137

PVSNet_BlendedMVS		136.90 125	155.40 127	81.40 133	111.00 142	96.20 137	407.00 144	25.90 133	251.60 136	85.10 141	240.50 137	37.00 137	99.90 138	199.80 138	40.70 138	48.10 137

PVSNet_Blended		136.90 125	155.40 127	81.40 133	111.00 142	96.20 137	407.00 144	25.90 133	251.60 136	85.10 141	240.50 137	37.00 137	99.90 138	199.80 138	40.70 138	48.10 137

test1172		216.26 128	257.16 130	93.57 136	310.10 149	111.10 147	31.10 119	45.10 148	192.73 127	176.39 145	512.31 144	66.33 147	78.35 126	891.20 168	89.18 143	91.27 142

DP-MVS		264.78 129	296.02 131	171.04 138	191.70 145	183.96 148	827.10 155	78.36 149	438.24 147	176.64 146	435.12 143	65.04 146	230.52 148	334.02 144	117.96 145	98.64 144

tmp_tt		371.08 130	412.78 132	246.00 140	231.00 146	197.00 149	1293.00 167	376.00 201	756.00 157	609.00 181	71.00 119	106.00 156	195.00 146	102.00 125	171.00 154	346.00 177

RPSCF		394.81 131	445.63 133	242.35 139	276.55 148	253.63 150	1207.27 165	90.69 154	715.56 155	241.57 148	684.87 152	111.96 157	320.02 149	548.38 151	133.81 146	153.39 146

ADS-MVSNet2		443.33 133	482.84 134	324.79 148	434.94 160	387.73 158	1110.57 163	87.69 152	887.02 161	282.92 149	779.29 154	98.57 154	422.76 157	502.40 145	162.19 152	163.87 147

ADS-MVSNet		443.33 133	482.84 134	324.79 148	434.94 160	387.73 158	1110.57 163	87.69 152	887.02 161	282.92 149	779.29 154	98.57 154	422.76 157	502.40 145	162.19 152	163.87 147

EG-PatchMatch MVS		437.03 132	493.12 136	268.77 141	264.80 147	260.20 151	1491.80 170	98.00 158	723.20 156	238.80 147	722.40 153	63.10 145	382.00 152	629.00 155	207.00 161	164.10 149

MVP-Stereo		473.58 135	533.67 137	293.33 142	376.00 153	318.00 152	1461.00 168	96.00 155	835.00 159	290.00 152	804.00 157	97.00 152	383.00 154	688.00 162	156.00 147	179.00 151
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch		473.58 135	533.67 137	293.33 142	376.00 153	318.00 152	1461.00 168	96.00 155	835.00 159	290.00 152	804.00 157	97.00 152	383.00 154	688.00 162	156.00 147	179.00 151

PatchmatchNet		492.52 137	551.22 139	316.40 146	400.20 156	357.90 156	1277.10 166	115.80 163	1034.60 171	315.90 154	874.00 160	155.10 162	402.20 156	629.50 156	158.80 149	189.10 153
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpmvs		501.65 138	567.42 140	304.33 145	395.39 155	356.32 155	1512.04 171	216.53 189	994.15 164	350.16 157	804.16 159	119.38 158	380.98 151	555.14 152	159.87 150	175.69 150

DP-MVS Recon		516.25 140	581.17 141	321.48 147	361.02 151	429.00 162	1995.36 176	78.48 150	796.20 158	283.32 151	796.02 156	96.78 151	382.98 153	636.72 157	186.66 158	152.46 145

DELS-MVS		514.57 139	587.73 142	295.12 144	343.03 150	328.09 154	1540.48 172	116.22 164	988.59 163	325.44 155	906.22 161	119.86 159	365.72 150	788.60 164	161.09 151	191.55 154
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
gg-mvs-nofinetune		594.69 141	605.37 143	562.67 168	617.29 176	500.33 166	772.30 151	413.12 209	579.21 149	552.71 175	567.40 145	662.54 226	531.67 161	503.93 147	779.80 207	656.02 192

RE-MVS-def			610.10 144		610.10 170	610.10 182	610.10 149	610.10 229	610.10 153	610.10 182	610.10 150	610.10 216		610.10 153	610.10 191	610.10 189

SR-MVS		610.10 142	610.10 144	610.10 173	610.10 170	610.10 182	610.10 149	610.10 229	610.10 153	610.10 182	610.10 150	610.10 216	610.10 176	610.10 153	610.10 191	610.10 189

CR-MVSNet		612.36 143	617.81 146	596.01 171	611.29 172	600.33 179	790.30 152	513.12 220	579.21 149	552.71 175	567.40 145	662.54 226	531.67 161	503.93 147	779.80 207	656.02 192

IterMVS		615.05 144	691.66 147	385.23 152	516.40 163	454.80 163	1863.80 174	102.10 160	1142.20 173	364.10 158	1093.20 175	135.00 160	480.40 160	826.90 165	181.20 155	220.50 156
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS	872.44 4	616.41 145	700.96 148	362.78 150	426.10 159	409.25 160	1822.69 173	124.42 172	1186.23 174	366.85 159	1079.42 173	190.60 175	451.78 159	930.72 170	181.59 156	227.30 157
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
ACMH+	729.97 2	661.38 146	754.00 149	383.51 151	368.96 152	376.38 157	2483.74 188	82.42 151	1089.25 172	333.39 156	1219.68 176	66.53 148	573.60 173	957.86 171	184.14 157	200.56 155

Gipuma		689.75 147	767.00 150	458.00 160	613.00 175	549.00 177	1943.00 175	187.00 186	1230.00 175	518.00 172	1092.00 174	203.00 181	564.00 166	892.00 169	225.00 170	261.00 164
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
RPMNet		787.26 157	829.13 151	661.63 177	885.90 191	895.90 199	455.98 147	610.10 229	1297.17 176	1002.26 204	1001.67 171	655.98 224	611.10 177	667.90 159	885.21 219	477.90 186

JIA-IIPM		804.30 158	835.64 152	710.26 182	885.90 191	895.90 199	455.98 147	668.73 233	1297.17 176	1002.26 204	1001.67 171	655.98 224	756.98 183	667.90 159	885.21 219	477.90 186

IterMVS-LS		758.94 148	856.56 153	466.10 161	606.60 168	546.80 175	2309.90 178	122.20 171	1402.80 179	463.50 163	1348.20 178	192.60 176	574.60 174	1028.60 181	234.60 172	276.90 166
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
new-patchmatchnet		766.12 149	859.03 154	487.38 164	595.68 165	536.14 168	2346.27 179	142.51 177	1488.08 181	422.43 160	1361.32 180	163.65 165	628.60 178	1003.74 180	207.61 162	297.41 170

PatchT		856.34 161	860.99 155	842.38 187	1290.90 206	880.90 197	790.30 152	1267.30 251	579.21 149	923.90 194	567.40 145	662.54 226	990.23 191	887.56 167	779.80 207	656.02 192

SixPastTwentyTwo		773.62 150	869.37 156	486.35 163	603.45 167	547.15 176	2532.14 189	106.92 162	1434.95 180	428.08 161	1360.56 179	165.15 166	628.96 179	984.09 172	209.01 163	282.94 167

mvs_anonymous		774.90 151	882.28 157	452.77 154	636.50 177	537.20 169	2348.80 180	120.30 165	1504.30 182	474.40 164	1371.10 181	186.90 168	564.70 167	1078.90 183	219.30 164	256.40 158

casdiffmvs		774.90 151	882.28 157	452.77 154	636.50 177	537.20 169	2348.80 180	120.30 165	1504.30 182	474.40 164	1371.10 181	186.90 168	564.70 167	1078.90 183	219.30 164	256.40 158

diffmvs		774.90 151	882.28 157	452.77 154	636.50 177	537.20 169	2348.80 180	120.30 165	1504.30 182	474.40 164	1371.10 181	186.90 168	564.70 167	1078.90 183	219.30 164	256.40 158

baseline2		774.90 151	882.28 157	452.77 154	636.50 177	537.20 169	2348.80 180	120.30 165	1504.30 182	474.40 164	1371.10 181	186.90 168	564.70 167	1078.90 183	219.30 164	256.40 158

baseline1		774.90 151	882.28 157	452.77 154	636.50 177	537.20 169	2348.80 180	120.30 165	1504.30 182	474.40 164	1371.10 181	186.90 168	564.70 167	1078.90 183	219.30 164	256.40 158

baseline		774.90 151	882.28 157	452.77 154	636.50 177	537.20 169	2348.80 180	120.30 165	1504.30 182	474.40 164	1371.10 181	186.90 168	564.70 167	1078.90 183	219.30 164	256.40 158

PVSNet	1207.94 6	829.56 160	937.18 163	506.69 165	645.55 183	585.72 178	2477.98 187	130.52 173	1578.29 189	509.50 171	1460.01 187	194.90 177	637.19 180	1170.78 190	267.07 176	297.17 169

CSCG		826.03 159	963.29 164	414.24 153	421.52 158	426.11 161	2230.35 177	179.52 185	1827.44 193	733.43 192	933.12 163	281.25 188	545.23 165	1800.35 199	262.64 174	271.38 165

K. test v3		877.74 162	980.16 165	570.46 170	1316.85 208	813.15 194	2565.52 190	103.78 161	1509.49 188	548.33 174	1258.90 177	219.93 186	587.82 175	1102.37 189	196.30 159	310.42 172

OurMVSNet-221017-0		999.00 167	999.00 166	999.00 188	999.00 196	999.00 201	999.00 156	999.00 244	999.00 165	999.00 197	999.00 164	999.00 239	999.00 193	999.00 173	999.00 225	999.00 222

EPMVS		999.00 167	999.00 166	999.00 188	999.00 196	999.00 201	999.00 156	999.00 244	999.00 165	999.00 197	999.00 164	999.00 239	999.00 193	999.00 173	999.00 225	999.00 222

uanet_test		1000.00 169	1000.00 168	1000.00 191	1000.00 199	1000.00 204	1000.00 159	1000.00 247	1000.00 167	1000.00 200	1000.00 167	1000.00 242	1000.00 196	1000.00 176	1000.00 228	1000.00 225

sosnet		1000.00 169	1000.00 168	1000.00 191	1000.00 199	1000.00 204	1000.00 159	1000.00 247	1000.00 167	1000.00 200	1000.00 167	1000.00 242	1000.00 196	1000.00 176	1000.00 228	1000.00 225

USDC		1000.00 169	1000.00 168	1000.00 191	1000.00 199	1000.00 204	1000.00 159	1000.00 247	1000.00 167	1000.00 200	1000.00 167	1000.00 242	1000.00 196	1000.00 176	1000.00 228	1000.00 225

TinyColmap		1000.00 169	1000.00 168	1000.00 191	1000.00 199	1000.00 204	1000.00 159	1000.00 247	1000.00 167	1000.00 200	1000.00 167	1000.00 242	1000.00 196	1000.00 176	1000.00 228	1000.00 225

MVSTER		890.06 163	1005.91 172	542.52 166	736.13 188	653.90 186	2616.56 191	145.22 179	1692.10 192	555.69 178	1554.72 189	266.25 187	660.02 181	1219.66 191	266.84 175	313.64 173

PMVS	863.65 3	957.08 164	1054.11 173	666.00 179	401.00 157	495.00 165	3790.00 196	279.00 191	1607.00 191	521.00 173	1745.00 191	90.00 149	1105.00 202	639.00 158	415.00 187	398.00 184
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
PVSNet_0	1661.03 9	968.54 166	1066.82 174	673.70 180	706.94 186	695.69 187	2669.02 192	153.52 181	2108.17 198	605.54 180	1679.14 190	213.26 185	886.75 188	1236.76 192	229.01 171	438.67 185

ACMH	993.80 5	967.92 165	1106.11 175	553.33 167	494.00 162	534.00 167	3581.00 194	136.00 174	1585.00 190	478.00 170	1871.00 193	90.00 149	839.00 185	1460.00 193	260.00 173	287.00 168
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
Patchmtry		1090.75 174	1198.88 176	766.38 186	1290.90 206	485.90 164	2423.98 186	1267.30 251	1297.17 176	923.90 194	923.40 162	1215.54 247	990.23 191	667.90 159	779.80 207	823.02 205

ACMP	1246.57 7	1086.24 173	1235.17 177	639.45 174	596.53 166	639.91 184	3904.24 197	152.04 180	1851.54 194	566.58 179	1997.95 195	138.50 161	938.30 189	1605.46 195	303.70 182	340.14 175
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
test_0402		1110.00 175	1260.00 178	660.00 176	900.00 194	780.00 193	3300.00 193	210.00 188	2040.00 197	690.00 187	1950.00 194	300.00 191	810.00 184	1620.00 196	330.00 183	390.00 183

MVS_111021_LR		1136.45 176	1298.72 179	649.64 175	756.17 189	726.26 190	3785.94 195	138.15 176	2190.64 199	629.63 185	2064.39 196	165.45 167	874.83 187	1678.43 198	279.70 177	347.82 178

ACMM	1311.08 8	1165.06 177	1332.72 180	662.07 178	584.90 164	715.99 189	4373.59 201	153.99 182	1880.27 195	709.02 189	2316.97 197	188.63 174	939.89 190	1484.30 194	302.78 181	330.34 174
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++		1242.93 178	1411.08 181	738.48 184	712.71 187	712.68 188	4168.17 199	136.50 175	2276.40 200	613.28 184	2368.60 200	161.61 164	1130.38 203	1964.54 202	297.88 179	372.39 180

MG-MVS		1256.50 179	1432.00 182	730.00 183	610.00 169	760.00 191	4720.00 202	169.00 183	1920.00 196	723.00 191	2510.00 203	201.00 179	1050.00 200	1645.00 197	390.00 186	380.00 181

ACMMPR		1296.60 180	1480.82 183	743.96 185	899.25 193	763.47 192	4305.47 200	143.90 178	2530.94 203	683.99 186	2346.34 199	201.65 180	1098.25 201	1920.59 201	295.21 178	370.16 179

FPMVS		1407.00 182	1495.59 184	1141.23 196	648.01 184	893.85 198	4124.00 198	503.81 219	3219.04 206	742.72 193	2498.84 202	157.98 163	1727.83 209	832.93 166	732.98 206	802.00 201

TSAR-MVS + GP.		1386.84 181	1622.84 185	678.81 181	952.13 195	840.17 196	5358.21 205	170.75 184	2650.47 204	713.54 190	2394.28 201	209.42 184	855.56 186	1854.36 200	302.42 180	340.71 176

COLMAP_ROB	2144.59 11	1658.33 184	1869.33 186	1025.33 195	1030.00 203	1023.00 208	5311.00 204	359.00 199	3044.00 205	937.00 196	2892.00 204	332.00 195	1440.00 206	2312.00 205	607.00 190	613.00 191
Johannes L. SchÃ¶nberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
DeepC-MVS_fast	2190.19 12	1535.59 183	1886.82 187	481.89 162	847.73 190	830.16 195	7943.84 221	189.23 187	2398.83 201	691.73 188	2341.13 198	209.16 183	230.25 147	1999.25 203	360.46 184	385.25 182
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
F-COLMAP		1878.17 185	2113.11 188	1173.33 199	1231.00 204	1174.00 209	6297.00 207	392.00 204	3356.00 208	1087.00 206	3082.00 205	361.00 199	1670.00 208	2523.00 207	689.00 197	676.00 196

CMPMVS	2623.62 15	1983.08 187	2156.14 189	1463.89 209	1414.80 210	1517.00 214	5239.20 203	867.40 238	3310.30 207	1128.70 208	3489.90 207	366.75 200	2030.20 220	2427.60 206	1160.60 234	844.46 208
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
OpenMVS_ROB	1936.51 10	1959.51 186	2224.88 190	1163.39 198	1253.91 205	1434.22 212	7065.71 211	272.76 190	2472.29 202	1647.54 234	3538.72 208	200.37 178	1496.48 207	2575.17 208	997.45 224	559.48 188

MVS-HIRNet		2125.39 188	2452.68 191	1143.53 197	2938.33 246	1446.92 213	6083.19 206	391.74 203	3801.71 211	1202.10 210	3439.72 206	492.73 208	1304.35 205	3048.25 211	676.32 196	679.32 197

PLC	2858.82 16	2192.92 189	2474.00 192	1349.67 201	1407.00 209	1356.00 211	7164.00 212	475.00 216	3970.00 212	1237.00 213	3765.00 211	451.00 205	1891.00 214	3006.00 210	791.00 212	802.00 201
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
OpenMVS	2352.88 13	2263.08 190	2530.89 193	1459.67 208	1767.00 221	1591.00 217	7932.00 220	399.00 205	3643.00 209	1176.00 209	3569.00 209	297.00 190	1927.00 216	3302.00 212	693.00 201	861.00 209

PCF-MVS	4335.85 20	2272.23 191	2597.03 194	1297.84 200	1701.20 213	1332.37 210	8105.11 222	451.45 212	4031.84 213	1099.10 207	3966.50 212	467.45 206	1734.05 210	2701.68 209	848.94 216	827.11 206
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CHOSEN 280x420		2340.81 192	2643.03 195	1434.14 202	2025.55 230	1629.36 221	6542.40 208	412.49 206	4219.70 214	1547.02 224	4328.52 214	650.74 221	1798.26 211	3333.17 213	727.72 203	874.79 210

CHOSEN 1792x2688		2340.81 192	2643.03 195	1434.14 202	2025.55 230	1629.36 221	6542.40 208	412.49 206	4219.70 214	1547.02 224	4328.52 214	650.74 221	1798.26 211	3333.17 213	727.72 203	874.79 210

HyFIR lowres test		2340.81 192	2643.03 195	1434.14 202	2025.55 230	1629.36 221	6542.40 208	412.49 206	4219.70 214	1547.02 224	4328.52 214	650.74 221	1798.26 211	3333.17 213	727.72 203	874.79 210

3Dnovator	2482.06 14	2531.17 195	2839.56 198	1606.00 210	1732.00 217	1557.00 216	8375.00 224	483.00 217	4370.00 217	1371.00 219	4200.00 213	350.00 197	2207.00 221	3877.00 219	798.00 213	1054.00 229

tpmrst		2557.50 196	2847.12 199	1688.66 213	1784.08 222	1778.25 231	7445.50 218	342.14 197	4471.54 218	1534.55 223	4382.10 217	530.10 212	2361.21 224	4142.81 223	991.22 223	926.51 215

AdaColmap		2570.77 197	2948.61 200	1437.24 205	1873.64 223	1526.60 215	7819.77 219	373.97 200	4970.45 221	1479.29 221	4648.46 219	525.80 211	1904.97 215	4150.42 224	695.69 202	880.14 213

DeepPCF-MVS	3452.42 18	2670.71 199	3021.57 201	1618.12 211	2377.67 236	1751.39 230	8915.70 227	567.44 227	4569.74 219	1236.84 212	4615.63 218	513.23 209	2291.32 222	3515.48 216	882.39 218	811.66 203

LF4IMVS		2699.50 200	3049.67 202	1649.00 212	1755.00 218	1689.00 225	8330.00 223	464.00 214	4997.00 222	1528.00 222	4763.00 220	568.00 214	2296.00 223	4215.00 225	827.00 215	962.00 219

SD-MVS		2654.53 198	3055.56 203	1451.45 206	1725.60 214	1598.35 218	9203.30 228	315.86 194	5016.02 223	1363.85 216	4894.28 221	387.23 201	2023.43 217	3973.88 220	620.04 193	732.56 198
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
Vis-MVSNet		2877.42 201	3170.00 204	1999.67 222	1673.00 212	2042.00 239	8593.00 225	474.00 215	6452.00 236	1268.00 214	5125.00 224	339.00 196	3004.00 236	4222.00 226	384.00 185	953.00 218
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
SteuartSystems-ACMMP		2891.50 202	3284.78 205	1711.67 214	1954.00 224	1655.00 224	10117.00 237	445.00 211	5102.00 226	1375.00 220	5126.00 225	351.00 198	2638.00 233	4402.00 227	691.00 199	842.00 207
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+	3414.41 17	3146.67 203	3537.00 206	1975.67 220	2310.00 234	2005.00 238	10100.00 236	626.00 232	5753.00 227	1803.00 237	5179.00 226	487.00 207	2622.00 231	4550.00 228	1025.00 232	1300.00 233

DeepC-MVS	3917.13 19	3155.06 204	3601.83 207	1814.72 218	2515.52 239	1941.53 235	10432.50 238	589.42 228	4789.45 220	1298.65 215	7677.31 240	578.35 215	2589.53 227	3611.78 218	923.52 221	913.10 214
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DPM-MVS		3268.00 205	3762.89 208	1783.33 216	1756.00 219	1806.00 232	12319.00 240	307.00 192	6319.00 234	1557.00 227	5763.00 227	302.00 192	2609.00 229	5061.00 231	482.00 188	935.00 216

OPM-MVS		3268.00 205	3762.89 208	1783.33 216	1756.00 219	1806.00 232	12319.00 240	307.00 192	6319.00 234	1557.00 227	5763.00 227	302.00 192	2609.00 229	5061.00 231	482.00 188	935.00 216

TAPA-MVS	6309.84 21	3374.90 207	3806.99 210	2078.63 224	2535.47 240	2499.25 244	8816.16 226	456.05 213	6255.60 233	1664.52 235	6704.88 232	629.95 219	2768.38 234	6343.93 241	856.35 217	968.25 220
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
tpm2		3617.85 209	4007.23 211	2449.73 227	2012.71 226	1698.05 226	7351.19 214	869.29 239	6132.06 229	1588.28 229	8007.42 242	1281.09 248	3888.11 245	7472.04 245	1351.00 236	1763.02 242

tpm cat1		3617.85 209	4007.23 211	2449.73 227	2012.71 226	1698.05 226	7351.19 214	869.29 239	6132.06 229	1588.28 229	8007.42 242	1281.09 248	3888.11 245	7472.04 245	1351.00 236	1763.02 242

CostFormer		3617.85 209	4007.23 211	2449.73 227	2012.71 226	1698.05 226	7351.19 214	869.29 239	6132.06 229	1588.28 229	8007.42 242	1281.09 248	3888.11 245	7472.04 245	1351.00 236	1763.02 242

tpm		3617.85 209	4007.23 211	2449.73 227	2012.71 226	1698.05 226	7351.19 214	869.29 239	6132.06 229	1588.28 229	8007.42 242	1281.09 248	3888.11 245	7472.04 245	1351.00 236	1763.02 242

TSAR-MVS + MP.		3528.01 208	4065.89 215	1914.35 219	2349.10 235	2141.30 240	12362.70 242	417.60 210	6717.80 240	1759.40 236	6497.50 230	518.18 210	2629.38 232	5164.32 233	806.40 214	972.38 221
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
MVS_111021_HR		3742.80 213	4330.34 216	1980.20 221	2484.31 238	2259.52 241	14973.80 246	515.90 226	6500.13 237	1949.21 239	6146.89 229	535.66 213	2593.66 228	4880.76 230	986.37 222	1087.43 230

MAR-MVS		3973.16 214	4387.92 217	2728.86 233	3345.27 247	3341.39 251	11403.90 239	798.76 236	6555.62 239	2569.29 246	6514.86 231	834.97 233	3237.43 242	5891.08 235	1577.54 241	1607.76 234
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
GST-MVS		4000.00 216	4533.33 218	2400.00 226	2400.00 237	2400.00 242	7200.00 213	2400.00 255	7200.00 246	2400.00 245	7200.00 237	2400.00 252	2400.00 225	7200.00 243	2400.00 248	2400.00 247

SED-MVS		4062.74 217	4671.13 219	2237.56 225	2643.17 241	2465.14 243	13996.40 244	493.26 218	7619.38 247	2107.24 240	7416.93 239	610.24 218	3088.29 241	6075.14 240	1078.39 233	1159.26 231

DVP-MVS		3981.10 215	4731.32 220	1730.42 215	2191.51 233	1949.98 236	16473.90 248	355.33 198	7172.90 245	1622.98 233	7879.79 241	434.33 204	2428.11 226	5762.12 234	689.04 198	813.18 204

API-MVS		4380.83 219	4906.56 221	2803.67 234	3844.00 248	3116.00 250	13454.00 243	901.00 243	6511.00 238	2794.00 247	7365.00 238	754.00 230	3634.00 243	6622.00 242	1914.00 247	1661.00 237

MSP-MVS		4296.20 218	4911.12 222	2451.45 231	2725.60 242	2598.35 245	16203.30 247	515.86 222	7016.02 241	2363.85 241	6894.28 233	887.23 234	3023.43 237	5973.88 236	1620.04 242	1732.56 238

OMC-MVS		5022.26 220	5748.82 223	2842.58 235	4905.27 250	3101.27 249	14933.60 245	812.24 237	9278.40 248	2959.29 248	8800.17 246	1092.24 246	3806.30 244	7568.54 249	1389.60 240	1620.18 236

CLD-MVS		7338.25 221	8341.00 224	4330.00 236	4902.00 249	4991.00 252	23318.00 250	728.00 235	14437.00 255	4378.00 250	13379.00 251	824.00 232	5708.00 249	11429.00 255	1674.00 246	2291.00 246
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D		7684.71 222	8776.23 225	4410.16 237	5298.55 251	5631.53 253	34329.90 252	1504.57 253	11554.00 254	3896.41 249	15111.00 252	812.19 231	5985.63 250	3516.20 217	2963.23 249	1613.31 235

ZNCC-MVS		9999.00 223	9999.00 226	9999.00 239	9999.00 254	9999.00 256	9999.00 232	9999.00 259	9999.00 249	9999.00 253	9999.00 247	9999.00 255	9999.00 251	9999.00 250	9999.00 252	9999.00 250

UA-Net		10000.00 224	10000.00 227	10000.00 240	10000.00 255	10000.00 257	10000.00 233	10000.00 260	10000.00 250	10000.00 254	10000.00 248	10000.00 256	10000.00 252	10000.00 251	10000.00 253	10000.00 251

uncertanet		10000.00 224	10000.00 227	10000.00 240	10000.00 255	10000.00 257	10000.00 233	10000.00 260	10000.00 250	10000.00 254	10000.00 248	10000.00 256	10000.00 252	10000.00 251	10000.00 253	10000.00 251

uanet		10000.00 224	10000.00 227	10000.00 240	10000.00 255	10000.00 257	10000.00 233	10000.00 260	10000.00 250	10000.00 254	10000.00 248	10000.00 256	10000.00 252	10000.00 251	10000.00 253	10000.00 251

MVE	10021.00 22	10550.67 227	10002.44 230	12195.33 243	6242.00 252	8768.00 255	30896.00 251	4451.00 256	10331.00 253	6247.00 251	18296.00 253	283.00 189	21484.00 256	7364.00 244	5912.00 251	6334.00 249
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA		10738.67 228	11772.44 231	7637.33 238	9120.00 253	8206.00 254	22252.00 249	2010.00 254	24984.00 256	7458.00 252	22596.00 254	2940.00 253	10260.00 255	11100.00 254	3492.00 250	4446.00 248

LTVRE_ROB	20565.47 23	23378.08 229	22805.00 232	25097.33 244	15500.00 258	19201.00 260	42712.00 253	6055.00 257	38388.00 257	16926.00 257	38534.00 255	7071.00 254	35653.00 257	29475.00 256	10584.00 256	20438.00 255
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		32606.17 230	34443.44 233	27094.33 245	29249.00 259	25246.00 261	51144.00 254	6705.00 258	42886.00 258	22888.00 258	48534.00 256	13263.00 259	37507.00 258	79298.00 257	16024.00 257	18530.00 254

114514_t		99999.00 231	99999.00 234	99999.00 246	99999.00 260	99999.00 262	99999.00 255	99999.00 263	99999.00 259	99999.00 259	99999.00 257	99999.00 260	99999.00 259	99999.00 258	99999.00 258	99999.00 256

PHI-MVS		99999.00 231	99999.00 234	99999.00 246	99999.00 260	99999.00 262	99999.00 255	99999.00 263	99999.00 259	99999.00 259	99999.00 257	99999.00 260	99999.00 259	99999.00 258	99999.00 258	99999.00 256

XVG-OURS-SEG-HR		999999.00 236	999999.00 236	999999.00 248	999999.00 262	999999.00 264	999999.00 257	999999.00 265	999999.00 261	999999.00 261	999999.00 259	999999.00 262	999999.00 261	999999.00 260	999999.00 260	999999.00 258

XVG-OURS		999999.00 236	999999.00 236	999999.00 248	999999.00 262	999999.00 264	999999.00 257	999999.00 265	999999.00 261	999999.00 261	999999.00 259	999999.00 262	999999.00 261	999999.00 260	999999.00 260	999999.00 258

XVG-ACMP-BASELINE		999999.00 236	999999.00 236	999999.00 248	999999.00 262	999999.00 264	999999.00 257	999999.00 265	999999.00 261	999999.00 261	999999.00 259	999999.00 262	999999.00 261	999999.00 260	999999.00 260	999999.00 258

MP-MVS-pluss		833433.63 233	1111219.60 239	75.70 124	74.28 126	73.29 130	284.50 128	11.35 122	238.58 134	65.86 128	255.35 141	14.55 121	115.69 144	10000000.00 263	31.94 121	38.12 127
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
zzz-MVS		833442.10 234	1111233.77 240	67.09 118	65.59 124	64.81 128	284.50 128	10000000.00 268	219.97 132	59.62 126	229.89 135	12.72 119	103.00 141	203.67 141	27.93 119	33.46 118

MTAPA		833442.10 234	1111233.77 240	67.09 118	65.59 124	64.81 128	284.50 128	10000000.00 268	219.97 132	59.62 126	229.89 135	12.72 119	103.00 141	203.67 141	27.93 119	33.46 118

cl-mvsnet2		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

miper_ehance_all_eth		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

miper_enhance_ethall		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

cl-mvsnet_		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

cl-mvsnet1		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

eth_miper_zixun_eth		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

testtj		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

ET-MVSNet_ETH3D		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

UniMVSNet_ETH3D		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

miper_lstm_enhance		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

D2MVS		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

test_yl		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

thisisatest0530		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

Anonymous20240529		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

Anonymous202405211		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

DCV-MVSNet		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

tttt0517		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

our_test_3		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

thisisatest0515		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

ppachtmachnet_test		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

SMA-MVS		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261
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		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

test_part1		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

thres100view900		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

tfpnnormal		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

tfpn200view9		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

cl_fuxian		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

IterMVS-SCA-FT		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

pmmvs6		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

pmmvs5		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

Anonymous20231211		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

pmmvs-eth3d		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

Anonymous20231206		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

SCA		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

Patchmatch-test		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

Patchmatch-RL test		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

canonicalmvs		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

anonymousdsp		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

FIs		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

FC-MVSNet-test		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

sosnet-low-res		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

AllTest		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

testing_2		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

RRT_MVS		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

HPM-MVS++		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

XVS		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

pm-mvs1		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

X-MVStestdata		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

APDe-MVS		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

APD-MVS_3200maxsize		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

pmmvs4		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

test-LLR		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

TESTMET0.1,1		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

test-mter		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

testgi		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

test20.03		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

thres600view7		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

MP-MVS		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

thres400		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

test123		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

thres200		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

test0.0.03 1		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

pmmvs3		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

EMVS		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

E-PMN		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

PGM-MVS		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

MCST-MVS		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

MVS_Test		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

PMMVS2		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

PM-MVS		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

HQP_MVS		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

mPP-MVS		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

DWT-MVSNet_test		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

HPM-MVS_fast		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

RRT_test8_iter05		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

HPM-MVS		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

EPNet_dtu		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

NCCC		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

CP-MVS		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

CPTT-MVS		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

HQP-MVS		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

IS-MVSNet		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

PAPM_NR		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

PAPR		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

Vis-MVSNet (Re-imp)		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

PatchMatch-RL		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

TDRefinement		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

EPP-MVSNet		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

PMMVS		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

PAPM		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

ACMMP		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261
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		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

wuyk23d		10000000.00 239	10000000.00 242	10000000.00 251	10000000.00 265	10000000.00 267	10000000.00 260	10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

APD-MVS		1000000000.00 336	1000000000.00 339	1000000000.00 350	1000000000.00 371	1000000000.00 372	1000000000.00 362	1000000000.00 373	1000000000.00 367	1000000000.00 368	1000000000.00 366	1000000000.00 371	1000000000.00 368	1000000000.00 366	1000000000.00 366	1000000000.00 364
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
ZD-MVS					1584.00 211	1821.00 234		378.00 202	3721.00 210	1231.00 211	1833.00 192	321.00 194	1224.00 204	2103.00 204	692.00 200

IU-MVS					2725.60 242	2598.35 245		515.86 222	7016.02 241	2363.85 241				5973.88 236	1620.04 242	1732.56 238

OPU-MVS				2451.45 231	2725.60 242	2598.35 245	9203.30 228				6894.28 233	887.23 234	3023.43 237	5973.88 236	1620.04 242	1732.56 238

test_241102_TWO								515.86 222	7016.02 241	2363.85 241	6894.28 233	887.23 234	3023.43 237	5973.88 236	1620.04 242	1732.56 238

test_241102_ONE					2725.60 242	2598.35 245		515.86 222	7016.02 241	2363.85 241	6894.28 233	887.23 234	3023.43 237

save fliter					0.00 1	0.00 1	0.00 1	0.00 1	0.00 1

test_0728_THIRD									5016.02 223	1363.85 216	4894.28 221	387.23 201	2023.43 217	3973.88 220	620.04 193	732.56 198

test_0728_SECOND				1451.45 206	1725.60 214	1598.35 218	9203.30 228	315.86 194					2023.43 217	3973.88 220	620.04 193	732.56 198

test0726					1725.60 214	1598.35 218	9203.30 228	315.86 194	5016.02 223	1363.85 216	4894.28 221	387.23 201

GSMVS																10000000.00 261

test_part2					10000000.00 265	10000000.00 267				10000000.00 264

sam_mvs1												10000000.00 265				10000000.00 261

sam_mvs												10000000.00 265

ambc				999.00 188	999.00 196	999.00 201	999.00 156	999.00 244		999.00 197	999.00 164	999.00 239	999.00 193	999.00 173	999.00 225	999.00 222

MTGPA								10000000.00 268

test_post1							10000000.00 260				10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263

test_post											10000000.00 262	10000000.00 265	10000000.00 264

patchmatchnet-post											10000000.00 262	10000000.00 265	10000000.00 264

GG-mvs-BLEND				596.01 171	611.29 172	600.33 179	790.30 152	513.12 220		552.71 175	567.40 145	662.54 226	531.67 161	503.93 147	779.80 207	656.02 192

MTMP							10000000.00 260	10000000.00 268

gm-plane-assit					611.29 172	600.33 179			579.21 149		567.40 145		531.67 161	503.93 147

test9_res														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

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_prior2														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

TestCases				10000000.00 251	10000000.00 265	10000000.00 267		10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

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

test_prior				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

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ACMM2							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

testdata2													0.00 1	0.00 1

segment_acmp												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

testdata1							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

plane_prior7					10000000.00 265	10000000.00 267

plane_prior6					10000000.00 265	10000000.00 267						10000000.00 265

plane_prior5								10000000.00 268					10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

plane_prior4											10000000.00 262

plane_prior3						10000000.00 267			10000000.00 264	10000000.00 264

plane_prior2							10000000.00 260		10000000.00 264

plane_prior1					10000000.00 265

plane_prior						1.00 55	2.00 85		2.00 86						2.00 84

n2								14.20 125

nn								1.42 61

door-mid								1.42 61

lessismore_v0				569.20 169	667.25 185	644.68 185		96.45 157		428.86 162	1514.17 188	204.21 182	756.58 182	1061.60 182	197.79 160	306.34 171

LGP-MVS_train				10000000.00 251	10000000.00 265	10000000.00 267		10000000.00 268	10000000.00 264	10000000.00 264	10000000.00 262	10000000.00 265	10000000.00 264	10000000.00 263	10000000.00 263	10000000.00 261

test11								1.00 56

door								99.00 159

HQP5-MVS						10000000.00 267

HQP-NCC					10000000.00 265		10000000.00 260		10000000.00 264	10000000.00 264

ACMP_Plane					10000000.00 265		10000000.00 260		10000000.00 264	10000000.00 264

BP-MVS														10000000.00 263

HQP4-MVS										10000000.00 264			10000000.00 264			10000000.00 261

HQP3-MVS								10000000.00 268							10000000.00 263

HQP2-MVS												10000000.00 265

NP-MVS					10000000.00 265	10000000.00 267					10000000.00 262

MDTV_nov1_ep13_2view						9.99 107	9.99 105		9.99 106	9.99 105		9.99 105		9.99 103		9.99 104

ACMMP++_ref															10000000.00 263

ACMMP++															10000000.00 263

Test By Simon												990.00 238

ITE_SJBPF				2014.00 223	1998.00 225	1992.00 237		701.00 234	5989.00 228	1812.00 238	3612.00 210	650.00 220	2852.00 235	4601.00 229	1195.00 235	1198.00 232

DeepMVS_CX				1.00 48	1.00 55	1.00 55		1.00 56	1.00 55	1.00 54	1.00 52	1.00 54	1.00 55	1.00 53	1.00 53	1.00 53

High-resolution multi-view benchmark