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

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

hse-mvs3		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

CL-MVSNet_2432*1600		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

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 20	0.36 21	0.37 25	0.37 32	0.37 32	0.37 32	0.32 33	0.37 32	0.37 31	0.37 29	0.37 31	0.37 32	0.37 30	0.37 30	0.37 30

v144192		0.40 21	0.40 22	0.40 26	0.40 33	0.40 33	0.40 33	0.40 35	0.40 33	0.40 32	0.40 30	0.40 32	0.40 33	0.40 31	0.40 31	0.40 31

v1921920		0.40 21	0.40 22	0.40 26	0.40 33	0.40 33	0.40 33	0.40 35	0.40 33	0.40 32	0.40 30	0.40 32	0.40 33	0.40 31	0.40 31	0.40 31

v1192		0.40 21	0.40 22	0.40 26	0.40 33	0.40 33	0.40 33	0.40 35	0.40 33	0.40 32	0.40 30	0.40 32	0.40 33	0.40 31	0.40 31	0.40 31

v1144		0.40 21	0.40 22	0.40 26	0.40 33	0.40 33	0.40 33	0.40 35	0.40 33	0.40 32	0.40 30	0.40 32	0.40 33	0.40 31	0.40 31	0.40 31

v148		0.40 21	0.40 22	0.40 26	0.40 33	0.40 33	0.40 33	0.40 35	0.40 33	0.40 32	0.40 30	0.40 32	0.40 33	0.40 31	0.40 31	0.40 31

v7n		0.40 21	0.40 22	0.40 26	0.40 33	0.40 33	0.40 33	0.40 35	0.40 33	0.40 32	0.40 30	0.40 32	0.40 33	0.40 31	0.40 31	0.40 31

v1240		0.40 21	0.40 22	0.40 26	0.40 33	0.40 33	0.40 33	0.40 35	0.40 33	0.40 32	0.40 30	0.40 32	0.40 33	0.40 31	0.40 31	0.40 31

v8		0.40 21	0.40 22	0.40 26	0.40 33	0.40 33	0.40 33	0.40 35	0.40 33	0.40 32	0.40 30	0.40 32	0.40 33	0.40 31	0.40 31	0.40 31

v10		0.40 21	0.40 22	0.40 26	0.40 33	0.40 33	0.40 33	0.40 35	0.40 33	0.40 32	0.40 30	0.40 32	0.40 33	0.40 31	0.40 31	0.40 31

v2v482		0.40 21	0.40 22	0.40 26	0.40 33	0.40 33	0.40 33	0.40 35	0.40 33	0.40 32	0.40 30	0.40 32	0.40 33	0.40 31	0.40 31	0.40 31

V42		0.40 21	0.40 22	0.40 26	0.40 33	0.40 33	0.40 33	0.40 35	0.40 33	0.40 32	0.40 30	0.40 32	0.40 33	0.40 31	0.40 31	0.40 31

GA-MVS		0.40 21	0.40 22	0.40 26	0.40 33	0.40 33	0.40 33	0.40 35	0.40 33	0.40 32	0.40 30	0.40 32	0.40 33	0.40 31	0.40 31	0.40 31

Fast-Effi-MVS+		0.41 33	0.40 22	0.41 38	0.41 45	0.41 45	0.41 45	0.35 34	0.41 45	0.41 44	0.41 42	0.41 44	0.41 45	0.41 43	0.41 43	0.41 43

Fast-Effi-MVS+-dtu		0.44 34	0.44 35	0.44 39	0.44 46	0.44 46	0.44 46	0.44 47	0.44 46	0.44 45	0.44 43	0.44 45	0.44 46	0.44 44	0.44 44	0.44 44

Effi-MVS+		0.58 35	0.56 36	0.62 42	0.53 47	0.62 49	0.53 47	0.53 48	0.53 47	0.62 48	0.62 46	0.53 46	0.62 49	0.62 46	0.53 45	0.62 47

Effi-MVS+-dtu		0.59 36	0.61 38	0.53 40	0.68 52	0.53 47	0.53 47	0.68 53	0.68 52	0.53 46	0.53 44	0.68 51	0.53 47	0.68 50	0.53 45	0.53 45

DIV-MVS_2432*1600		0.60 37	0.60 37	0.60 41	0.60 48	0.60 48	0.60 49	0.60 49	0.60 48	0.60 47	0.60 45	0.60 47	0.60 48	0.60 45	0.60 47	0.60 46

EIA-MVS		0.62 38	0.62 39	0.62 42	0.62 49	0.62 49	0.62 50	0.62 50	0.62 49	0.62 48	0.62 46	0.62 48	0.62 49	0.62 46	0.62 48	0.62 47

ETV-MVS		0.62 38	0.62 39	0.62 42	0.62 49	0.62 49	0.62 50	0.62 50	0.62 49	0.62 48	0.62 46	0.62 48	0.62 49	0.62 46	0.62 48	0.62 47

CS-MVS		0.62 38	0.62 39	0.62 42	0.62 49	0.62 49	0.62 50	0.62 50	0.62 49	0.62 48	0.62 46	0.62 48	0.62 49	0.62 46	0.62 48	0.62 47

mvs-test1		0.68 41	0.68 42	0.68 46	0.68 52	0.68 53	0.68 53	0.68 53	0.68 52	0.68 52	0.68 50	0.68 51	0.68 53	0.68 50	0.68 51	0.68 51

CDS-MVSNet		0.88 42	0.88 43	0.88 47	0.88 54	0.88 54	0.88 54	0.88 55	0.88 54	0.88 53	0.88 51	0.88 53	0.88 54	0.88 52	0.88 52	0.88 52
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS		0.88 42	0.88 43	0.88 47	0.88 54	0.88 54	0.88 54	0.88 55	0.88 54	0.88 53	0.88 51	0.88 53	0.88 54	0.88 52	0.88 52	0.88 52

LCM-MVSNet-Re		0.89 44	0.89 45	0.89 49	0.89 56	0.89 56	0.89 56	0.89 57	0.89 56	0.89 55	0.89 53	0.89 55	0.89 56	0.89 54	0.89 54	0.89 54

MDA-MVSNet-bldmvs		1.20 45	1.20 46	1.20 51	1.20 58	1.20 59	1.20 57	1.20 60	1.20 58	1.20 57	1.20 55	1.20 57	1.20 58	1.20 56	1.20 56	1.20 56

YYNet1		1.20 45	1.20 46	1.20 51	1.20 58	1.20 59	1.20 57	1.20 60	1.20 58	1.20 57	1.20 55	1.20 57	1.20 58	1.20 56	1.20 56	1.20 56

MDA-MVSNet_test_wron		1.20 45	1.20 46	1.20 51	1.20 58	1.20 59	1.20 57	1.20 60	1.20 58	1.20 57	1.20 55	1.20 57	1.20 58	1.20 56	1.20 56	1.20 56

KD-MVS_2432*1600		1.30 48	1.30 49	1.30 54	1.30 61	1.30 62	1.30 60	1.30 63	1.30 61	1.30 60	1.30 58	1.30 60	1.30 61	1.30 59	1.30 59	1.30 59

miper_refine_blended		1.30 48	1.30 49	1.30 54	1.30 61	1.30 62	1.30 60	1.30 63	1.30 61	1.30 60	1.30 58	1.30 60	1.30 61	1.30 59	1.30 59	1.30 59

EI-MVSNet-UG-set		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

EI-MVSNet-Vis-set		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

Regformer-3		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

Regformer-4		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

Regformer-1		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

Regformer-2		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

EI-MVSNet		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

Regformer		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

CVMVSNet		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

EU-MVSNet		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

PS-CasMVS		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

UniMVSNet_NR-MVSNet		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

PEN-MVS		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

TransMVSNet (Re)		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

DTE-MVSNet		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

DU-MVS		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

UniMVSNet (Re)		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

CP-MVSNet		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

WR-MVS_H		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

WR-MVS		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

NR-MVSNet		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

Baseline_NR-MVSNet		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

TranMVSNet+NR-MVSNet		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

MVSFormer		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

jason		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61
jason: jason.
lupinMVS		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

test_djsdf		1.42 50	1.42 51	1.42 56	1.42 63	1.42 64	1.42 62	1.42 65	1.42 63	1.42 62	1.42 60	1.42 62	1.42 63	1.42 61	1.42 61	1.42 61

alignmvs		2.00 77	2.00 78	2.00 83	2.00 90	2.00 91	2.00 89	2.00 94	2.00 90	2.00 89	2.00 87	2.00 89	2.00 90	2.00 88	2.00 88	2.00 88

nrg030		2.00 77	2.00 78	2.00 83	2.00 90	2.00 91	2.00 89	2.00 94	2.00 90	2.00 89	2.00 87	2.00 89	2.00 90	2.00 88	2.00 88	2.00 88

LFMVS		2.00 77	2.00 78	2.00 83	2.00 90	2.00 91	2.00 89	2.00 94	2.00 90	2.00 89	2.00 87	2.00 89	2.00 90	2.00 88	2.00 88	2.00 88

VDD-MVS		2.00 77	2.00 78	2.00 83	2.00 90	2.00 91	2.00 89	2.00 94	2.00 90	2.00 89	2.00 87	2.00 89	2.00 90	2.00 88	2.00 88	2.00 88

VDDNet		2.00 77	2.00 78	2.00 83	2.00 90	2.00 91	2.00 89	2.00 94	2.00 90	2.00 89	2.00 87	2.00 89	2.00 90	2.00 88	2.00 88	2.00 88

VPNet		2.00 77	2.00 78	2.00 83	2.00 90	2.00 91	2.00 89	2.00 94	2.00 90	2.00 89	2.00 87	2.00 89	2.00 90	2.00 88	2.00 88	2.00 88

VNet		2.00 77	2.00 78	2.00 83	2.00 90	2.00 91	2.00 89	2.00 94	2.00 90	2.00 89	2.00 87	2.00 89	2.00 90	2.00 88	2.00 88	2.00 88

VPA-MVSNet		2.00 77	2.00 78	2.00 83	2.00 90	2.00 91	2.00 89	2.00 94	2.00 90	2.00 89	2.00 87	2.00 89	2.00 90	2.00 88	2.00 88	2.00 88

cascas		2.00 77	2.00 78	2.00 83	2.00 90	2.00 91	2.00 89	2.00 94	2.00 90	2.00 89	2.00 87	2.00 89	2.00 90	2.00 88	2.00 88	2.00 88

UnsupCasMVSNet_eth		5.90 86	5.90 87	5.90 92	5.90 99	5.90 100	5.90 99	5.90 104	5.90 100	5.90 98	5.90 96	5.90 99	5.90 99	5.90 97	5.90 99	5.90 98

UnsupCasMVSNet_bld		5.90 86	5.90 87	5.90 92	5.90 99	5.90 100	5.90 99	5.90 104	5.90 100	5.90 98	5.90 96	5.90 99	5.90 99	5.90 97	5.90 99	5.90 98

WTY-MVS		5.90 86	5.90 87	5.90 92	5.90 99	5.90 100	5.90 99	5.90 104	5.90 100	5.90 98	5.90 96	5.90 99	5.90 99	5.90 97	5.90 99	5.90 98

HY-MVS	5.90 1	5.90 86	5.90 87	5.90 92	5.90 99	5.90 100	5.90 99	5.90 104	5.90 100	5.90 98	5.90 96	5.90 99	5.90 99	5.90 97	5.90 99	5.90 98

sss		5.90 86	5.90 87	5.90 92	5.90 99	5.90 100	5.90 99	5.90 104	5.90 100	5.90 98	5.90 96	5.90 99	5.90 99	5.90 97	5.90 99	5.90 98

Test_1112_low_res		5.90 86	5.90 87	5.90 92	5.90 99	5.90 100	5.90 99	5.90 104	5.90 100	5.90 98	5.90 96	5.90 99	5.90 99	5.90 97	5.90 99	5.90 98

1112_ss		5.90 86	5.90 87	5.90 92	5.90 99	5.90 100	5.90 99	5.90 104	5.90 100	5.90 98	5.90 96	5.90 99	5.90 99	5.90 97	5.90 99	5.90 98

ab-mvs-re		5.90 86	5.90 87	5.90 92	5.90 99	5.90 100	5.90 99	5.90 104	5.90 100	5.90 98	5.90 96	5.90 99	5.90 99	5.90 97	5.90 99	5.90 98

ab-mvs		5.90 86	5.90 87	5.90 92	5.90 99	5.90 100	5.90 99	5.90 104	5.90 100	5.90 98	5.90 96	5.90 99	5.90 99	5.90 97	5.90 99	5.90 98

CDPH-MVS		6.66 95	6.66 96	6.66 101	6.66 108	6.66 109	6.66 108	6.66 113	6.66 109	6.66 107	6.66 105	6.66 108	6.66 108	6.66 106	6.66 108	6.66 107

xiu_mvs_v1_base_debu		10.28 96	10.28 98	10.28 103	10.28 110	10.28 113	10.28 111	10.28 116	10.28 112	10.28 111	10.28 107	10.28 111	10.28 111	10.28 109	10.28 110	10.28 109

xiu_mvs_v2_base		10.28 96	10.28 98	10.28 103	10.28 110	10.28 113	10.28 111	10.28 116	10.28 112	10.28 111	10.28 107	10.28 111	10.28 111	10.28 109	10.28 110	10.28 109

xiu_mvs_v1_base		10.28 96	10.28 98	10.28 103	10.28 110	10.28 113	10.28 111	10.28 116	10.28 112	10.28 111	10.28 107	10.28 111	10.28 111	10.28 109	10.28 110	10.28 109

xiu_mvs_v1_base_debi		10.28 96	10.28 98	10.28 103	10.28 110	10.28 113	10.28 111	10.28 116	10.28 112	10.28 111	10.28 107	10.28 111	10.28 111	10.28 109	10.28 110	10.28 109

cdsmvs_eth3d_5k		10.28 96	10.28 98	10.28 103	10.28 110	10.28 113	10.28 111	10.28 116	10.28 112	10.28 111	10.28 107	10.28 111	10.28 111	10.28 109	10.28 110	10.28 109

pcd_1.5k_mvsjas		10.28 96	10.28 98	10.28 103	10.28 110	10.28 113	10.28 111	10.28 116	10.28 112	10.28 111	10.28 107	10.28 111	10.28 111	10.28 109	10.28 110	10.28 109

PS-MVSNAJss		10.28 96	10.28 98	10.28 103	10.28 110	10.28 113	10.28 111	10.28 116	10.28 112	10.28 111	10.28 107	10.28 111	10.28 111	10.28 109	10.28 110	10.28 109

PS-MVSNAJ		10.28 96	10.28 98	10.28 103	10.28 110	10.28 113	10.28 111	10.28 116	10.28 112	10.28 111	10.28 107	10.28 111	10.28 111	10.28 109	10.28 110	10.28 109

jajsoiax		10.28 96	10.28 98	10.28 103	10.28 110	10.28 113	10.28 111	10.28 116	10.28 112	10.28 111	10.28 107	10.28 111	10.28 111	10.28 109	10.28 110	10.28 109

mvs_tets		10.28 96	10.28 98	10.28 103	10.28 110	10.28 113	10.28 111	10.28 116	10.28 112	10.28 111	10.28 107	10.28 111	10.28 111	10.28 109	10.28 110	10.28 109

SR-MVS-dyc-post		11.55 106	11.55 108	11.55 113	11.55 121	11.55 123	11.55 121	11.55 128	11.55 122	11.55 121	11.55 117	11.55 122	11.55 121	11.55 119	11.55 120	11.55 119

XXY-MVS		15.00 107	15.00 109	15.00 114	15.00 122	15.00 124	15.00 122	15.00 130	15.00 123	15.00 122	15.00 118	15.00 127	15.00 122	15.00 121	15.00 122	15.00 121

BH-w/o		40.00 108	40.00 110	40.00 116	40.00 123	40.00 125	40.00 124	40.00 147	40.00 124	40.00 124	40.00 119	40.00 145	40.00 124	40.00 122	40.00 138	40.00 133

BH-untuned		40.00 108	40.00 110	40.00 116	40.00 123	40.00 125	40.00 124	40.00 147	40.00 124	40.00 124	40.00 119	40.00 145	40.00 124	40.00 122	40.00 138	40.00 133

BH-RMVSNet		40.00 108	40.00 110	40.00 116	40.00 123	40.00 125	40.00 124	40.00 147	40.00 124	40.00 124	40.00 119	40.00 145	40.00 124	40.00 122	40.00 138	40.00 133

TR-MVS		40.00 108	40.00 110	40.00 116	40.00 123	40.00 125	40.00 124	40.00 147	40.00 124	40.00 124	40.00 119	40.00 145	40.00 124	40.00 122	40.00 138	40.00 133

GBi-Net		44.67 112	49.24 114	30.96 115	47.53 127	47.57 129	126.09 128	8.00 114	76.99 128	26.09 123	73.50 124	11.27 121	30.55 123	61.12 126	12.58 121	14.75 120

dp		87.20 113	113.80 117	7.42 102	10.50 120	8.88 110	298.82 136	2.70 103	510.35 152	7.79 108	172.93 127	3.37 98	9.16 109	14.00 120	3.71 98	4.23 97

new_pmnet		88.14 114	98.62 115	56.70 120	98.14 136	56.07 130	246.79 130	15.37 131	148.06 129	50.77 128	143.13 125	23.35 128	62.65 128	93.26 127	68.71 145	51.38 144

N_pmnet		88.14 114	98.62 115	56.70 120	98.14 136	56.07 130	246.79 130	15.37 131	148.06 129	50.77 128	143.13 125	23.35 128	62.65 128	93.26 127	68.71 145	51.38 144

CANet		110.62 116	124.04 118	70.34 124	82.03 132	74.27 136	325.54 137	25.25 133	207.16 132	69.28 134	194.38 128	27.53 130	95.79 138	147.76 131	37.43 127	40.97 137

CANet_DTU		110.62 116	124.04 118	70.34 124	82.03 132	74.27 136	325.54 137	25.25 133	207.16 132	69.28 134	194.38 128	27.53 130	95.79 138	147.76 131	37.43 127	40.97 137

MVS_0304		110.62 116	124.04 118	70.34 124	82.03 132	74.27 136	325.54 137	25.25 133	207.16 132	69.28 134	194.38 128	27.53 130	95.79 138	147.76 131	37.43 127	40.97 137

UGNet		110.62 116	124.04 118	70.34 124	82.03 132	74.27 136	325.54 137	25.25 133	207.16 132	69.28 134	194.38 128	27.53 130	95.79 138	147.76 131	37.43 127	40.97 137
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		118.81 120	133.18 122	75.70 128	74.28 130	73.29 134	284.50 132	11.35 126	238.58 138	65.86 132	255.35 145	14.55 125	115.69 148	222.18 147	31.94 125	38.12 131

FMVSNet5		124.76 121	140.93 123	76.26 130	107.44 139	100.17 144	329.88 141	27.12 140	259.44 143	74.30 138	204.34 132	30.74 134	92.41 131	196.98 135	38.15 131	36.19 124

test1		124.76 121	140.93 123	76.26 130	107.44 139	100.17 144	329.88 141	27.12 140	259.44 143	74.30 138	204.34 132	30.74 134	92.41 131	196.98 135	38.15 131	36.19 124

FMVSNet3		124.76 121	140.93 123	76.26 130	107.44 139	100.17 144	329.88 141	27.12 140	259.44 143	74.30 138	204.34 132	30.74 134	92.41 131	196.98 135	38.15 131	36.19 124

FMVSNet2		124.76 121	140.93 123	76.26 130	107.44 139	100.17 144	329.88 141	27.12 140	259.44 143	74.30 138	204.34 132	30.74 134	92.41 131	196.98 135	38.15 131	36.19 124

FMVSNet1		124.76 121	140.93 123	76.26 130	107.44 139	100.17 144	329.88 141	27.12 140	259.44 143	74.30 138	204.34 132	30.74 134	92.41 131	196.98 135	38.15 131	36.19 124

MIMVSNet1		124.76 121	140.93 123	76.26 130	107.44 139	100.17 144	329.88 141	27.12 140	259.44 143	74.30 138	204.34 132	30.74 134	92.41 131	196.98 135	38.15 131	36.19 124

MIMVSNet		124.76 121	140.93 123	76.26 130	107.44 139	100.17 144	329.88 141	27.12 140	259.44 143	74.30 138	204.34 132	30.74 134	92.41 131	196.98 135	38.15 131	36.19 124

DSMNet-mixed		131.33 128	143.00 130	96.33 141	99.00 138	81.00 140	201.00 129	45.00 151	335.00 150	99.00 148	251.00 144	38.00 144	110.00 147	120.00 130	99.00 148	98.00 147

PVSNet_Blended_VisFu		136.90 129	155.40 131	81.40 137	111.00 146	96.20 141	407.00 148	25.90 137	251.60 140	85.10 145	240.50 141	37.00 141	99.90 142	199.80 142	40.70 142	48.10 141

PVSNet_BlendedMVS		136.90 129	155.40 131	81.40 137	111.00 146	96.20 141	407.00 148	25.90 137	251.60 140	85.10 145	240.50 141	37.00 141	99.90 142	199.80 142	40.70 142	48.10 141

PVSNet_Blended		136.90 129	155.40 131	81.40 137	111.00 146	96.20 141	407.00 148	25.90 137	251.60 140	85.10 145	240.50 141	37.00 141	99.90 142	199.80 142	40.70 142	48.10 141

test1172		216.26 132	257.16 134	93.57 140	310.10 153	111.10 151	31.10 123	45.10 152	192.73 131	176.39 149	512.31 148	66.33 151	78.35 130	891.20 172	89.18 147	91.27 146

DP-MVS		264.78 133	296.02 135	171.04 142	191.70 149	183.96 152	827.10 159	78.36 153	438.24 151	176.64 150	435.12 147	65.04 150	230.52 152	334.02 148	117.96 149	98.64 148

tmp_tt		371.08 134	412.78 136	246.00 144	231.00 150	197.00 153	1293.00 171	376.00 205	756.00 161	609.00 185	71.00 123	106.00 160	195.00 150	102.00 129	171.00 158	346.00 181

RPSCF		394.81 135	445.63 137	242.35 143	276.55 152	253.63 154	1207.27 169	90.69 158	715.56 159	241.57 152	684.87 156	111.96 161	320.02 153	548.38 155	133.81 150	153.39 150

EG-PatchMatch MVS		437.03 136	493.12 140	268.77 145	264.80 151	260.20 155	1491.80 174	98.00 162	723.20 160	238.80 151	722.40 157	63.10 149	382.00 156	629.00 159	207.00 165	164.10 153

ADS-MVSNet2		443.33 137	482.84 138	324.79 152	434.94 164	387.73 162	1110.57 167	87.69 156	887.02 165	282.92 153	779.29 158	98.57 158	422.76 161	502.40 149	162.19 156	163.87 151

ADS-MVSNet		443.33 137	482.84 138	324.79 152	434.94 164	387.73 162	1110.57 167	87.69 156	887.02 165	282.92 153	779.29 158	98.57 158	422.76 161	502.40 149	162.19 156	163.87 151

MVP-Stereo		473.58 139	533.67 141	293.33 146	376.00 157	318.00 156	1461.00 172	96.00 159	835.00 163	290.00 156	804.00 161	97.00 156	383.00 158	688.00 166	156.00 151	179.00 155
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch		473.58 139	533.67 141	293.33 146	376.00 157	318.00 156	1461.00 172	96.00 159	835.00 163	290.00 156	804.00 161	97.00 156	383.00 158	688.00 166	156.00 151	179.00 155

PatchmatchNet		492.52 141	551.22 143	316.40 150	400.20 160	357.90 160	1277.10 170	115.80 167	1034.60 175	315.90 158	874.00 164	155.10 166	402.20 160	629.50 160	158.80 153	189.10 157
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpmvs		501.65 142	567.42 144	304.33 149	395.39 159	356.32 159	1512.04 175	216.53 193	994.15 168	350.16 161	804.16 163	119.38 162	380.98 155	555.14 156	159.87 154	175.69 154

DELS-MVS		514.57 143	587.73 146	295.12 148	343.03 154	328.09 158	1540.48 176	116.22 168	988.59 167	325.44 159	906.22 165	119.86 163	365.72 154	788.60 168	161.09 155	191.55 158
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
DP-MVS Recon		516.25 144	581.17 145	321.48 151	361.02 155	429.00 166	1995.36 180	78.48 154	796.20 162	283.32 155	796.02 160	96.78 155	382.98 157	636.72 161	186.66 162	152.46 149

gg-mvs-nofinetune		594.69 145	605.37 147	562.67 172	617.29 180	500.33 170	772.30 155	413.12 213	579.21 153	552.71 179	567.40 149	662.54 230	531.67 165	503.93 151	779.80 211	656.02 196

SR-MVS		610.10 146	610.10 148	610.10 177	610.10 174	610.10 186	610.10 153	610.10 233	610.10 157	610.10 186	610.10 154	610.10 220	610.10 180	610.10 157	610.10 195	610.10 193

CR-MVSNet		612.36 147	617.81 150	596.01 175	611.29 176	600.33 183	790.30 156	513.12 224	579.21 153	552.71 179	567.40 149	662.54 230	531.67 165	503.93 151	779.80 211	656.02 196

IterMVS		615.05 148	691.66 151	385.23 156	516.40 167	454.80 167	1863.80 178	102.10 164	1142.20 177	364.10 162	1093.20 179	135.00 164	480.40 164	826.90 169	181.20 159	220.50 160
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS	872.44 4	616.41 149	700.96 152	362.78 154	426.10 163	409.25 164	1822.69 177	124.42 176	1186.23 178	366.85 163	1079.42 177	190.60 179	451.78 163	930.72 174	181.59 160	227.30 161
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	661.38 150	754.00 153	383.51 155	368.96 156	376.38 161	2483.74 192	82.42 155	1089.25 176	333.39 160	1219.68 180	66.53 152	573.60 177	957.86 175	184.14 161	200.56 159

Gipuma		689.75 151	767.00 154	458.00 164	613.00 179	549.00 181	1943.00 179	187.00 190	1230.00 179	518.00 176	1092.00 178	203.00 185	564.00 170	892.00 173	225.00 174	261.00 168
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
IterMVS-LS		758.94 152	856.56 157	466.10 165	606.60 172	546.80 179	2309.90 182	122.20 175	1402.80 183	463.50 167	1348.20 182	192.60 180	574.60 178	1028.60 185	234.60 176	276.90 170
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
new-patchmatchnet		766.12 153	859.03 158	487.38 168	595.68 169	536.14 172	2346.27 183	142.51 181	1488.08 185	422.43 164	1361.32 184	163.65 169	628.60 182	1003.74 184	207.61 166	297.41 174

SixPastTwentyTwo		773.62 154	869.37 160	486.35 167	603.45 171	547.15 180	2532.14 193	106.92 166	1434.95 184	428.08 165	1360.56 183	165.15 170	628.96 183	984.09 176	209.01 167	282.94 171

mvs_anonymous		774.90 155	882.28 161	452.77 158	636.50 181	537.20 173	2348.80 184	120.30 169	1504.30 186	474.40 168	1371.10 185	186.90 172	564.70 171	1078.90 187	219.30 168	256.40 162

casdiffmvs		774.90 155	882.28 161	452.77 158	636.50 181	537.20 173	2348.80 184	120.30 169	1504.30 186	474.40 168	1371.10 185	186.90 172	564.70 171	1078.90 187	219.30 168	256.40 162

diffmvs		774.90 155	882.28 161	452.77 158	636.50 181	537.20 173	2348.80 184	120.30 169	1504.30 186	474.40 168	1371.10 185	186.90 172	564.70 171	1078.90 187	219.30 168	256.40 162

baseline2		774.90 155	882.28 161	452.77 158	636.50 181	537.20 173	2348.80 184	120.30 169	1504.30 186	474.40 168	1371.10 185	186.90 172	564.70 171	1078.90 187	219.30 168	256.40 162

baseline1		774.90 155	882.28 161	452.77 158	636.50 181	537.20 173	2348.80 184	120.30 169	1504.30 186	474.40 168	1371.10 185	186.90 172	564.70 171	1078.90 187	219.30 168	256.40 162

baseline		774.90 155	882.28 161	452.77 158	636.50 181	537.20 173	2348.80 184	120.30 169	1504.30 186	474.40 168	1371.10 185	186.90 172	564.70 171	1078.90 187	219.30 168	256.40 162

RPMNet		787.26 161	829.13 155	661.63 181	885.90 195	895.90 203	455.98 151	610.10 233	1297.17 180	1002.26 208	1001.67 175	655.98 228	611.10 181	667.90 163	885.21 223	477.90 190

JIA-IIPM		804.30 162	835.64 156	710.26 186	885.90 195	895.90 203	455.98 151	668.73 237	1297.17 180	1002.26 208	1001.67 175	655.98 228	756.98 187	667.90 163	885.21 223	477.90 190

CSCG		826.03 163	963.29 168	414.24 157	421.52 162	426.11 165	2230.35 181	179.52 189	1827.44 197	733.43 196	933.12 167	281.25 192	545.23 169	1800.35 203	262.64 178	271.38 169

PVSNet	1207.94 6	829.56 164	937.18 167	506.69 169	645.55 187	585.72 182	2477.98 191	130.52 177	1578.29 193	509.50 175	1460.01 191	194.90 181	637.19 184	1170.78 194	267.07 180	297.17 173

PatchT		856.34 165	860.99 159	842.38 191	1290.90 210	880.90 201	790.30 156	1267.30 255	579.21 153	923.90 198	567.40 149	662.54 230	990.23 195	887.56 171	779.80 211	656.02 196

K. test v3		877.74 166	980.16 169	570.46 174	1316.85 212	813.15 198	2565.52 194	103.78 165	1509.49 192	548.33 178	1258.90 181	219.93 190	587.82 179	1102.37 193	196.30 163	310.42 176

MVSTER		890.06 167	1005.91 176	542.52 170	736.13 192	653.90 190	2616.56 195	145.22 183	1692.10 196	555.69 182	1554.72 193	266.25 191	660.02 185	1219.66 195	266.84 179	313.64 177

PMVS	863.65 3	957.08 168	1054.11 177	666.00 183	401.00 161	495.00 169	3790.00 200	279.00 195	1607.00 195	521.00 177	1745.00 195	90.00 153	1105.00 206	639.00 162	415.00 191	398.00 188
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
ACMH	993.80 5	967.92 169	1106.11 179	553.33 171	494.00 166	534.00 171	3581.00 198	136.00 178	1585.00 194	478.00 174	1871.00 197	90.00 153	839.00 189	1460.00 197	260.00 177	287.00 172
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet_0	1661.03 9	968.54 170	1066.82 178	673.70 184	706.94 190	695.69 191	2669.02 196	153.52 185	2108.17 202	605.54 184	1679.14 194	213.26 189	886.75 192	1236.76 196	229.01 175	438.67 189

OurMVSNet-221017-0		999.00 171	999.00 170	999.00 192	999.00 200	999.00 205	999.00 160	999.00 248	999.00 169	999.00 201	999.00 168	999.00 243	999.00 197	999.00 177	999.00 229	999.00 226

EPMVS		999.00 171	999.00 170	999.00 192	999.00 200	999.00 205	999.00 160	999.00 248	999.00 169	999.00 201	999.00 168	999.00 243	999.00 197	999.00 177	999.00 229	999.00 226

uanet_test		1000.00 173	1000.00 172	1000.00 195	1000.00 203	1000.00 208	1000.00 163	1000.00 251	1000.00 171	1000.00 204	1000.00 171	1000.00 246	1000.00 200	1000.00 180	1000.00 232	1000.00 229

sosnet		1000.00 173	1000.00 172	1000.00 195	1000.00 203	1000.00 208	1000.00 163	1000.00 251	1000.00 171	1000.00 204	1000.00 171	1000.00 246	1000.00 200	1000.00 180	1000.00 232	1000.00 229

USDC		1000.00 173	1000.00 172	1000.00 195	1000.00 203	1000.00 208	1000.00 163	1000.00 251	1000.00 171	1000.00 204	1000.00 171	1000.00 246	1000.00 200	1000.00 180	1000.00 232	1000.00 229

TinyColmap		1000.00 173	1000.00 172	1000.00 195	1000.00 203	1000.00 208	1000.00 163	1000.00 251	1000.00 171	1000.00 204	1000.00 171	1000.00 246	1000.00 200	1000.00 180	1000.00 232	1000.00 229

ACMP	1246.57 7	1086.24 177	1235.17 181	639.45 178	596.53 170	639.91 188	3904.24 201	152.04 184	1851.54 198	566.58 183	1997.95 199	138.50 165	938.30 193	1605.46 199	303.70 186	340.14 179
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Patchmtry		1090.75 178	1198.88 180	766.38 190	1290.90 210	485.90 168	2423.98 190	1267.30 255	1297.17 180	923.90 198	923.40 166	1215.54 251	990.23 195	667.90 163	779.80 211	823.02 209

test_0402		1110.00 179	1260.00 182	660.00 180	900.00 198	780.00 197	3300.00 197	210.00 192	2040.00 201	690.00 191	1950.00 198	300.00 195	810.00 188	1620.00 200	330.00 187	390.00 187

MVS_111021_LR		1136.45 180	1298.72 183	649.64 179	756.17 193	726.26 194	3785.94 199	138.15 180	2190.64 203	629.63 189	2064.39 200	165.45 171	874.83 191	1678.43 202	279.70 181	347.82 182

ACMM	1311.08 8	1165.06 181	1332.72 184	662.07 182	584.90 168	715.99 193	4373.59 205	153.99 186	1880.27 199	709.02 193	2316.97 201	188.63 178	939.89 194	1484.30 198	302.78 185	330.34 178
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++		1242.93 182	1411.08 185	738.48 188	712.71 191	712.68 192	4168.17 203	136.50 179	2276.40 204	613.28 188	2368.60 204	161.61 168	1130.38 207	1964.54 206	297.88 183	372.39 184

MG-MVS		1256.50 183	1432.00 186	730.00 187	610.00 173	760.00 195	4720.00 206	169.00 187	1920.00 200	723.00 195	2510.00 207	201.00 183	1050.00 204	1645.00 201	390.00 190	380.00 185

ACMMPR		1296.60 184	1480.82 187	743.96 189	899.25 197	763.47 196	4305.47 204	143.90 182	2530.94 207	683.99 190	2346.34 203	201.65 184	1098.25 205	1920.59 205	295.21 182	370.16 183

TSAR-MVS + GP.		1386.84 185	1622.84 189	678.81 185	952.13 199	840.17 200	5358.21 209	170.75 188	2650.47 208	713.54 194	2394.28 205	209.42 188	855.56 190	1854.36 204	302.42 184	340.71 180

FPMVS		1407.00 186	1495.59 188	1141.23 200	648.01 188	893.85 202	4124.00 202	503.81 223	3219.04 210	742.72 197	2498.84 206	157.98 167	1727.83 213	832.93 170	732.98 210	802.00 205

DeepC-MVS_fast	2190.19 12	1535.59 187	1886.82 191	481.89 166	847.73 194	830.16 199	7943.84 225	189.23 191	2398.83 205	691.73 192	2341.13 202	209.16 187	230.25 151	1999.25 207	360.46 188	385.25 186
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
COLMAP_ROB	2144.59 11	1658.33 188	1869.33 190	1025.33 199	1030.00 207	1023.00 212	5311.00 208	359.00 203	3044.00 209	937.00 200	2892.00 208	332.00 199	1440.00 210	2312.00 209	607.00 194	613.00 195
Johannes L. SchÃ¶nberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
F-COLMAP		1878.17 189	2113.11 192	1173.33 203	1231.00 208	1174.00 213	6297.00 211	392.00 208	3356.00 212	1087.00 210	3082.00 209	361.00 203	1670.00 212	2523.00 211	689.00 201	676.00 200

OpenMVS_ROB	1936.51 10	1959.51 190	2224.88 194	1163.39 202	1253.91 209	1434.22 216	7065.71 215	272.76 194	2472.29 206	1647.54 238	3538.72 212	200.37 182	1496.48 211	2575.17 212	997.45 228	559.48 192

CMPMVS	2623.62 15	1983.08 191	2156.14 193	1463.89 213	1414.80 214	1517.00 218	5239.20 207	867.40 242	3310.30 211	1128.70 212	3489.90 211	366.75 204	2030.20 224	2427.60 210	1160.60 238	844.46 212
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
MVS-HIRNet		2125.39 192	2452.68 195	1143.53 201	2938.33 250	1446.92 217	6083.19 210	391.74 207	3801.71 215	1202.10 214	3439.72 210	492.73 212	1304.35 209	3048.25 215	676.32 200	679.32 201

PLC	2858.82 16	2192.92 193	2474.00 196	1349.67 205	1407.00 213	1356.00 215	7164.00 216	475.00 220	3970.00 216	1237.00 217	3765.00 215	451.00 209	1891.00 218	3006.00 214	791.00 216	802.00 205
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
OpenMVS	2352.88 13	2263.08 194	2530.89 197	1459.67 212	1767.00 225	1591.00 221	7932.00 224	399.00 209	3643.00 213	1176.00 213	3569.00 213	297.00 194	1927.00 220	3302.00 216	693.00 205	861.00 213

PCF-MVS	4335.85 20	2272.23 195	2597.03 198	1297.84 204	1701.20 217	1332.37 214	8105.11 226	451.45 216	4031.84 217	1099.10 211	3966.50 216	467.45 210	1734.05 214	2701.68 213	848.94 220	827.11 210
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CHOSEN 280x420		2340.81 196	2643.03 199	1434.14 206	2025.55 234	1629.36 225	6542.40 212	412.49 210	4219.70 218	1547.02 228	4328.52 218	650.74 225	1798.26 215	3333.17 217	727.72 207	874.79 214

CHOSEN 1792x2688		2340.81 196	2643.03 199	1434.14 206	2025.55 234	1629.36 225	6542.40 212	412.49 210	4219.70 218	1547.02 228	4328.52 218	650.74 225	1798.26 215	3333.17 217	727.72 207	874.79 214

HyFIR lowres test		2340.81 196	2643.03 199	1434.14 206	2025.55 234	1629.36 225	6542.40 212	412.49 210	4219.70 218	1547.02 228	4328.52 218	650.74 225	1798.26 215	3333.17 217	727.72 207	874.79 214

3Dnovator	2482.06 14	2531.17 199	2839.56 202	1606.00 214	1732.00 221	1557.00 220	8375.00 228	483.00 221	4370.00 221	1371.00 223	4200.00 217	350.00 201	2207.00 225	3877.00 223	798.00 217	1054.00 233

tpmrst		2557.50 200	2847.12 203	1688.66 217	1784.08 226	1778.25 235	7445.50 222	342.14 201	4471.54 222	1534.55 227	4382.10 221	530.10 216	2361.21 228	4142.81 227	991.22 227	926.51 219

AdaColmap		2570.77 201	2948.61 204	1437.24 209	1873.64 227	1526.60 219	7819.77 223	373.97 204	4970.45 225	1479.29 225	4648.46 223	525.80 215	1904.97 219	4150.42 228	695.69 206	880.14 217

SD-MVS		2654.53 202	3055.56 207	1451.45 210	1725.60 218	1598.35 222	9203.30 232	315.86 198	5016.02 227	1363.85 220	4894.28 225	387.23 205	2023.43 221	3973.88 224	620.04 197	732.56 202
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
DeepPCF-MVS	3452.42 18	2670.71 203	3021.57 205	1618.12 215	2377.67 240	1751.39 234	8915.70 231	567.44 231	4569.74 223	1236.84 216	4615.63 222	513.23 213	2291.32 226	3515.48 220	882.39 222	811.66 207

LF4IMVS		2699.50 204	3049.67 206	1649.00 216	1755.00 222	1689.00 229	8330.00 227	464.00 218	4997.00 226	1528.00 226	4763.00 224	568.00 218	2296.00 227	4215.00 229	827.00 219	962.00 223

Vis-MVSNet		2877.42 205	3170.00 208	1999.67 226	1673.00 216	2042.00 243	8593.00 229	474.00 219	6452.00 240	1268.00 218	5125.00 228	339.00 200	3004.00 240	4222.00 230	384.00 189	953.00 222
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
SteuartSystems-ACMMP		2891.50 206	3284.78 209	1711.67 218	1954.00 228	1655.00 228	10117.00 241	445.00 215	5102.00 230	1375.00 224	5126.00 229	351.00 202	2638.00 237	4402.00 231	691.00 203	842.00 211
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+	3414.41 17	3146.67 207	3537.00 210	1975.67 224	2310.00 238	2005.00 242	10100.00 240	626.00 236	5753.00 231	1803.00 241	5179.00 230	487.00 211	2622.00 235	4550.00 232	1025.00 236	1300.00 237

DeepC-MVS	3917.13 19	3155.06 208	3601.83 211	1814.72 222	2515.52 243	1941.53 239	10432.50 242	589.42 232	4789.45 224	1298.65 219	7677.31 244	578.35 219	2589.53 231	3611.78 222	923.52 225	913.10 218
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DPM-MVS		3268.00 209	3762.89 212	1783.33 220	1756.00 223	1806.00 236	12319.00 244	307.00 196	6319.00 238	1557.00 231	5763.00 231	302.00 196	2609.00 233	5061.00 235	482.00 192	935.00 220

OPM-MVS		3268.00 209	3762.89 212	1783.33 220	1756.00 223	1806.00 236	12319.00 244	307.00 196	6319.00 238	1557.00 231	5763.00 231	302.00 196	2609.00 233	5061.00 235	482.00 192	935.00 220

TAPA-MVS	6309.84 21	3374.90 211	3806.99 214	2078.63 228	2535.47 244	2499.25 248	8816.16 230	456.05 217	6255.60 237	1664.52 239	6704.88 236	629.95 223	2768.38 238	6343.93 245	856.35 221	968.25 224
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.		3528.01 212	4065.89 219	1914.35 223	2349.10 239	2141.30 244	12362.70 246	417.60 214	6717.80 244	1759.40 240	6497.50 234	518.18 214	2629.38 236	5164.32 237	806.40 218	972.38 225
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
tpm2		3617.85 213	4007.23 215	2449.73 231	2012.71 230	1698.05 230	7351.19 218	869.29 243	6132.06 233	1588.28 233	8007.42 246	1281.09 252	3888.11 249	7472.04 249	1351.00 240	1763.02 246

tpm cat1		3617.85 213	4007.23 215	2449.73 231	2012.71 230	1698.05 230	7351.19 218	869.29 243	6132.06 233	1588.28 233	8007.42 246	1281.09 252	3888.11 249	7472.04 249	1351.00 240	1763.02 246

CostFormer		3617.85 213	4007.23 215	2449.73 231	2012.71 230	1698.05 230	7351.19 218	869.29 243	6132.06 233	1588.28 233	8007.42 246	1281.09 252	3888.11 249	7472.04 249	1351.00 240	1763.02 246

tpm		3617.85 213	4007.23 215	2449.73 231	2012.71 230	1698.05 230	7351.19 218	869.29 243	6132.06 233	1588.28 233	8007.42 246	1281.09 252	3888.11 249	7472.04 249	1351.00 240	1763.02 246

MVS_111021_HR		3742.80 217	4330.34 220	1980.20 225	2484.31 242	2259.52 245	14973.80 250	515.90 230	6500.13 241	1949.21 243	6146.89 233	535.66 217	2593.66 232	4880.76 234	986.37 226	1087.43 234

MAR-MVS		3973.16 218	4387.92 221	2728.86 237	3345.27 251	3341.39 255	11403.90 243	798.76 240	6555.62 243	2569.29 250	6514.86 235	834.97 237	3237.43 246	5891.08 239	1577.54 245	1607.76 238
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
DVP-MVS		3981.10 219	4731.32 224	1730.42 219	2191.51 237	1949.98 240	16473.90 252	355.33 202	7172.90 249	1622.98 237	7879.79 245	434.33 208	2428.11 230	5762.12 238	689.04 202	813.18 208
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
GST-MVS		4000.00 220	4533.33 222	2400.00 230	2400.00 241	2400.00 246	7200.00 217	2400.00 259	7200.00 250	2400.00 249	7200.00 241	2400.00 256	2400.00 229	7200.00 247	2400.00 252	2400.00 251

SED-MVS		4062.74 221	4671.13 223	2237.56 229	2643.17 245	2465.14 247	13996.40 248	493.26 222	7619.38 251	2107.24 244	7416.93 243	610.24 222	3088.29 245	6075.14 244	1078.39 237	1159.26 235

MSP-MVS		4296.20 222	4911.12 226	2451.45 235	2725.60 246	2598.35 249	16203.30 251	515.86 226	7016.02 245	2363.85 245	6894.28 237	887.23 238	3023.43 241	5973.88 240	1620.04 246	1732.56 242
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
API-MVS		4380.83 223	4906.56 225	2803.67 238	3844.00 252	3116.00 254	13454.00 247	901.00 247	6511.00 242	2794.00 251	7365.00 242	754.00 234	3634.00 247	6622.00 246	1914.00 251	1661.00 241

OMC-MVS		5022.26 224	5748.82 227	2842.58 239	4905.27 254	3101.27 253	14933.60 249	812.24 241	9278.40 252	2959.29 252	8800.17 250	1092.24 250	3806.30 248	7568.54 253	1389.60 244	1620.18 240

CLD-MVS		7338.25 225	8341.00 228	4330.00 240	4902.00 253	4991.00 256	23318.00 254	728.00 239	14437.00 259	4378.00 254	13379.00 255	824.00 236	5708.00 253	11429.00 259	1674.00 250	2291.00 250
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D		7684.71 226	8776.23 229	4410.16 241	5298.55 255	5631.53 257	34329.90 256	1504.57 257	11554.00 258	3896.41 253	15111.00 256	812.19 235	5985.63 254	3516.20 221	2963.23 253	1613.31 239

ZNCC-MVS		9999.00 227	9999.00 230	9999.00 243	9999.00 258	9999.00 260	9999.00 236	9999.00 263	9999.00 253	9999.00 257	9999.00 251	9999.00 259	9999.00 255	9999.00 254	9999.00 256	9999.00 254

UA-Net		10000.00 228	10000.00 231	10000.00 244	10000.00 259	10000.00 261	10000.00 237	10000.00 264	10000.00 254	10000.00 258	10000.00 252	10000.00 260	10000.00 256	10000.00 255	10000.00 257	10000.00 255

uncertanet		10000.00 228	10000.00 231	10000.00 244	10000.00 259	10000.00 261	10000.00 237	10000.00 264	10000.00 254	10000.00 258	10000.00 252	10000.00 260	10000.00 256	10000.00 255	10000.00 257	10000.00 255

uanet		10000.00 228	10000.00 231	10000.00 244	10000.00 259	10000.00 261	10000.00 237	10000.00 264	10000.00 254	10000.00 258	10000.00 252	10000.00 260	10000.00 256	10000.00 255	10000.00 257	10000.00 255

MVE	10021.00 22	10550.67 231	10002.44 234	12195.33 247	6242.00 256	8768.00 259	30896.00 255	4451.00 260	10331.00 257	6247.00 255	18296.00 257	283.00 193	21484.00 260	7364.00 248	5912.00 255	6334.00 253
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA		10738.67 232	11772.44 235	7637.33 242	9120.00 257	8206.00 258	22252.00 253	2010.00 258	24984.00 260	7458.00 256	22596.00 258	2940.00 257	10260.00 259	11100.00 258	3492.00 254	4446.00 252

LTVRE_ROB	20565.47 23	23378.08 233	22805.00 236	25097.33 248	15500.00 262	19201.00 264	42712.00 257	6055.00 261	38388.00 261	16926.00 261	38534.00 259	7071.00 258	35653.00 261	29475.00 260	10584.00 260	20438.00 259
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		32606.17 234	34443.44 237	27094.33 249	29249.00 263	25246.00 265	51144.00 258	6705.00 262	42886.00 262	22888.00 262	48534.00 260	13263.00 263	37507.00 262	79298.00 261	16024.00 261	18530.00 258

114514_t		99999.00 235	99999.00 238	99999.00 250	99999.00 264	99999.00 266	99999.00 259	99999.00 267	99999.00 263	99999.00 263	99999.00 261	99999.00 264	99999.00 263	99999.00 262	99999.00 262	99999.00 260

PHI-MVS		99999.00 235	99999.00 238	99999.00 250	99999.00 264	99999.00 266	99999.00 259	99999.00 267	99999.00 263	99999.00 263	99999.00 261	99999.00 264	99999.00 263	99999.00 262	99999.00 262	99999.00 260

MP-MVS-pluss		833433.63 237	1111219.60 243	75.70 128	74.28 130	73.29 134	284.50 132	11.35 126	238.58 138	65.86 132	255.35 145	14.55 125	115.69 148	10000000.00 267	31.94 125	38.12 131
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
zzz-MVS		833442.10 238	1111233.77 244	67.09 122	65.59 128	64.81 132	284.50 132	10000000.00 272	219.97 136	59.62 130	229.89 139	12.72 123	103.00 145	203.67 145	27.93 123	33.46 122

MTAPA		833442.10 238	1111233.77 244	67.09 122	65.59 128	64.81 132	284.50 132	10000000.00 272	219.97 136	59.62 130	229.89 139	12.72 123	103.00 145	203.67 145	27.93 123	33.46 122

XVG-OURS-SEG-HR		999999.00 240	999999.00 240	999999.00 252	999999.00 266	999999.00 268	999999.00 261	999999.00 269	999999.00 265	999999.00 265	999999.00 263	999999.00 266	999999.00 265	999999.00 264	999999.00 264	999999.00 262

XVG-OURS		999999.00 240	999999.00 240	999999.00 252	999999.00 266	999999.00 268	999999.00 261	999999.00 269	999999.00 265	999999.00 265	999999.00 263	999999.00 266	999999.00 265	999999.00 264	999999.00 264	999999.00 262

XVG-ACMP-BASELINE		999999.00 240	999999.00 240	999999.00 252	999999.00 266	999999.00 268	999999.00 261	999999.00 269	999999.00 265	999999.00 265	999999.00 263	999999.00 266	999999.00 265	999999.00 264	999999.00 264	999999.00 262

Anonymous20240521		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

cl-mvsnet2		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

miper_ehance_all_eth		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

miper_enhance_ethall		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

cl-mvsnet_		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

cl-mvsnet1		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

eth_miper_zixun_eth		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

testtj		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

ET-MVSNet_ETH3D		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

UniMVSNet_ETH3D		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

miper_lstm_enhance		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

D2MVS		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

test_yl		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

thisisatest0530		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

Anonymous20240529		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

Anonymous202405211		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

DCV-MVSNet		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

tttt0517		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

our_test_3		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

thisisatest0515		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

ppachtmachnet_test		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

SMA-MVS		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265
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		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
test_part1		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

thres100view900		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

tfpnnormal		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

tfpn200view9		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

cl_fuxian		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

IterMVS-SCA-FT		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

pmmvs6		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

pmmvs5		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

Anonymous20231211		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

pmmvs-eth3d		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

Anonymous20231206		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

SCA		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

Patchmatch-test		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

Patchmatch-RL test		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

canonicalmvs		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

anonymousdsp		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

FIs		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

FC-MVSNet-test		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

sosnet-low-res		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

AllTest		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

bset_n11_16_dypcd		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

RRT_MVS		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

HPM-MVS++		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

XVS		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

pm-mvs1		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

X-MVStestdata		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

APDe-MVS		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

APD-MVS_3200maxsize		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

pmmvs4		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

test-LLR		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

TESTMET0.1,1		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

test-mter		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

testgi		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

test20.03		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

thres600view7		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

MP-MVS		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

thres400		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

test123		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

thres200		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

test0.0.03 1		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

pmmvs3		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

EMVS		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

E-PMN		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

PGM-MVS		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

MCST-MVS		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

MVS_Test		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

PMMVS2		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

PM-MVS		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

HQP_MVS		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

mPP-MVS		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

DWT-MVSNet_test		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

HPM-MVS_fast		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

RRT_test8_iter05		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

HPM-MVS		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

EPNet_dtu		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

NCCC		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

CP-MVS		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

CPTT-MVS		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

HQP-MVS		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

IS-MVSNet		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

PAPM_NR		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

PAPR		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

Vis-MVSNet (Re-imp)		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

PatchMatch-RL		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

TDRefinement		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

EPP-MVSNet		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

PMMVS		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

PAPM		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

ACMMP		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265
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		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

wuyk23d		10000000.00 243	10000000.00 246	10000000.00 255	10000000.00 269	10000000.00 271	10000000.00 264	10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

APD-MVS		1000000000.00 341	1000000000.00 344	1000000000.00 355	1000000000.00 376	1000000000.00 377	1000000000.00 367	1000000000.00 378	1000000000.00 372	1000000000.00 373	1000000000.00 371	1000000000.00 376	1000000000.00 373	1000000000.00 371	1000000000.00 371	1000000000.00 369
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
ZD-MVS					1584.00 215	1821.00 238		378.00 206	3721.00 214	1231.00 215	1833.00 196	321.00 198	1224.00 208	2103.00 208	692.00 204

RE-MVS-def			610.10 148		610.10 174	610.10 186	610.10 153	610.10 233	610.10 157	610.10 186	610.10 154	610.10 220		610.10 157	610.10 195	610.10 193

IU-MVS					2725.60 246	2598.35 249		515.86 226	7016.02 245	2363.85 245				5973.88 240	1620.04 246	1732.56 242

OPU-MVS				2451.45 235	2725.60 246	2598.35 249	9203.30 232				6894.28 237	887.23 238	3023.43 241	5973.88 240	1620.04 246	1732.56 242

test_241102_TWO								515.86 226	7016.02 245	2363.85 245	6894.28 237	887.23 238	3023.43 241	5973.88 240	1620.04 246	1732.56 242

test_241102_ONE					2725.60 246	2598.35 249		515.86 226	7016.02 245	2363.85 245	6894.28 237	887.23 238	3023.43 241

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

test_0728_THIRD									5016.02 227	1363.85 220	4894.28 225	387.23 205	2023.43 221	3973.88 224	620.04 197	732.56 202

test_0728_SECOND				1451.45 210	1725.60 218	1598.35 222	9203.30 232	315.86 198					2023.43 221	3973.88 224	620.04 197	732.56 202

test0726					1725.60 218	1598.35 222	9203.30 232	315.86 198	5016.02 227	1363.85 220	4894.28 225	387.23 205

GSMVS																10000000.00 265

test_part2					10000000.00 269	10000000.00 271				10000000.00 268

sam_mvs1												10000000.00 269				10000000.00 265

sam_mvs												10000000.00 269

ambc				999.00 192	999.00 200	999.00 205	999.00 160	999.00 248		999.00 201	999.00 168	999.00 243	999.00 197	999.00 177	999.00 229	999.00 226

MTGPA								10000000.00 272

test_post1							10000000.00 264				10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267

test_post											10000000.00 266	10000000.00 269	10000000.00 268

patchmatchnet-post											10000000.00 266	10000000.00 269	10000000.00 268

GG-mvs-BLEND				596.01 175	611.29 176	600.33 183	790.30 156	513.12 224		552.71 179	567.40 149	662.54 230	531.67 165	503.93 151	779.80 211	656.02 196

MTMP							10000000.00 264	10000000.00 272

gm-plane-assit					611.29 176	600.33 183			579.21 153		567.40 149		531.67 165	503.93 151

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				10000000.00 255	10000000.00 269	10000000.00 271		10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

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					10000000.00 269	10000000.00 271

plane_prior6					10000000.00 269	10000000.00 271						10000000.00 269

plane_prior5								10000000.00 272					10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

plane_prior4											10000000.00 266

plane_prior3						10000000.00 271			10000000.00 268	10000000.00 268

plane_prior2							10000000.00 264		10000000.00 268

plane_prior1					10000000.00 269

plane_prior						1.00 57	2.00 89		2.00 90						2.00 88

n2								14.20 129

nn								1.42 65

door-mid								1.42 65

lessismore_v0				569.20 173	667.25 189	644.68 189		96.45 161		428.86 166	1514.17 192	204.21 186	756.58 186	1061.60 186	197.79 164	306.34 175

LGP-MVS_train				10000000.00 255	10000000.00 269	10000000.00 271		10000000.00 272	10000000.00 268	10000000.00 268	10000000.00 266	10000000.00 269	10000000.00 268	10000000.00 267	10000000.00 267	10000000.00 265

test11								1.00 58

door								99.00 163

HQP5-MVS						10000000.00 271

HQP-NCC					10000000.00 269		10000000.00 264		10000000.00 268	10000000.00 268

ACMP_Plane					10000000.00 269		10000000.00 264		10000000.00 268	10000000.00 268

BP-MVS														10000000.00 267

HQP4-MVS										10000000.00 268			10000000.00 268			10000000.00 265

HQP3-MVS								10000000.00 272							10000000.00 267

HQP2-MVS												10000000.00 269

NP-MVS					10000000.00 269	10000000.00 271					10000000.00 266

MDTV_nov1_ep13_2view						9.99 111	9.99 109		9.99 110	9.99 109		9.99 109		9.99 107		9.99 108

MDTV_nov1_ep13			9.99 97		9.99 109	9.99 111	9.99 109	9.99 115	9.99 110	9.99 109	9.99 106	9.99 109	9.99 110	9.99 107	9.99 109

ACMMP++_ref															10000000.00 267

ACMMP++															10000000.00 267

Test By Simon												990.00 242

ITE_SJBPF				2014.00 227	1998.00 229	1992.00 241		701.00 238	5989.00 232	1812.00 242	3612.00 214	650.00 224	2852.00 239	4601.00 233	1195.00 239	1198.00 236

DeepMVS_CX				1.00 50	1.00 57	1.00 57		1.00 58	1.00 57	1.00 56	1.00 54	1.00 56	1.00 57	1.00 55	1.00 55	1.00 55

High-resolution multi-view benchmark