High-resolution multi-view benchmark

This table lists the benchmark results for the high-res multi-view scenario. The following metrics are evaluated:

(*) 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 Infoallhigh-res
multi-view		indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort bysort bysort bysort bysort bysort by
FE-MVSNET10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_110.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_100.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt070.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt090.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt130.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewcassd2359sk110.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt110.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmacassd2359aftdt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmsd2359difaftdt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
diffmvs_AUTHOR0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-MVSNET0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_conf0.5_n_90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmambaseed2359dif0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmanbaseed2359cas0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_70.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_60.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_50.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_40.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_conf0.5_n_30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.1_n_20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_conf0.5_n_a0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_conf0.5_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.1_n_a0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_a0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MM0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmconf0.1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmconf0.01_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmconf_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmvis_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsm_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_cas_vis1_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis1_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
mvsany_test10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
APD_test10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis1_rt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis3_rt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
mvsany_test30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testf10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
APD_test20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_f0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
SF-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
9.140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MGCNet0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
TEST90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
train_agg0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
agg_prior0.00 10.00 10.00 10.00 10.00 1
HFP-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
region2R0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_prior20.00 10.00 10.00 10.00 10.00 10.00 10.00 1
旧先验20.00 10.00 10.00 10.00 10.00 1
新几何10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test2220.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testdata0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
13140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test120.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
QAPM0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
h-mvs330.30 630.30 640.30 680.30 750.30 750.30 750.30 760.30 750.30 740.30 720.30 740.30 750.30 730.30 730.30 73
hse-mvs20.30 630.30 640.30 680.30 750.30 750.30 750.30 760.30 750.30 740.30 720.30 740.30 750.30 730.30 730.30 73
CL-MVSNet_self_test0.30 630.30 640.30 680.30 750.30 750.30 750.30 760.30 750.30 740.30 720.30 740.30 750.30 730.30 730.30 73
AUN-MVS0.30 630.30 640.30 680.30 750.30 750.30 750.30 760.30 750.30 740.30 720.30 740.30 750.30 730.30 730.30 73
LCM-MVSNet0.37 670.36 680.37 720.37 790.37 790.37 790.32 800.37 790.37 780.37 760.37 780.37 790.37 770.37 770.37 77
v1441920.40 680.40 690.40 730.40 800.40 800.40 800.40 820.40 800.40 790.40 770.40 790.40 800.40 780.40 780.40 78
v19219200.40 680.40 690.40 730.40 800.40 800.40 800.40 820.40 800.40 790.40 770.40 790.40 800.40 780.40 780.40 78
v11920.40 680.40 690.40 730.40 800.40 800.40 800.40 820.40 800.40 790.40 770.40 790.40 800.40 780.40 780.40 78
v11440.40 680.40 690.40 730.40 800.40 800.40 800.40 820.40 800.40 790.40 770.40 790.40 800.40 780.40 780.40 78
v1480.40 680.40 690.40 730.40 800.40 800.40 800.40 820.40 800.40 790.40 770.40 790.40 800.40 780.40 780.40 78
v7n0.40 680.40 690.40 730.40 800.40 800.40 800.40 820.40 800.40 790.40 770.40 790.40 800.40 780.40 780.40 78
v12400.40 680.40 690.40 730.40 800.40 800.40 800.40 820.40 800.40 790.40 770.40 790.40 800.40 780.40 780.40 78
v80.40 680.40 690.40 730.40 800.40 800.40 800.40 820.40 800.40 790.40 770.40 790.40 800.40 780.40 780.40 78
v100.40 680.40 690.40 730.40 800.40 800.40 800.40 820.40 800.40 790.40 770.40 790.40 800.40 780.40 780.40 78
v2v4820.40 680.40 690.40 730.40 800.40 800.40 800.40 820.40 800.40 790.40 770.40 790.40 800.40 780.40 780.40 78
V420.40 680.40 690.40 730.40 800.40 800.40 800.40 820.40 800.40 790.40 770.40 790.40 800.40 780.40 780.40 78
GA-MVS0.40 680.40 690.40 730.40 800.40 800.40 800.40 820.40 800.40 790.40 770.40 790.40 800.40 780.40 780.40 78
Fast-Effi-MVS+0.41 800.40 690.41 850.41 920.41 920.41 920.35 810.41 920.41 910.41 890.41 910.41 920.41 900.41 900.41 90
Fast-Effi-MVS+-dtu0.44 810.44 820.44 860.44 930.44 930.44 930.44 940.44 930.44 920.44 900.44 920.44 930.44 910.44 910.44 91
Effi-MVS+-dtu0.59 830.61 850.53 870.68 1010.53 940.53 940.68 1020.68 1010.53 930.53 910.68 1000.53 940.68 990.53 920.53 92
KD-MVS_self_test0.60 840.60 840.60 880.60 950.60 950.60 960.60 960.60 950.60 940.60 920.60 940.60 950.60 920.60 940.60 93
EIA-MVS0.62 850.62 860.62 890.62 960.62 960.62 970.62 970.62 960.62 950.62 930.62 950.62 960.62 930.62 950.62 94
ETV-MVS0.62 850.62 860.62 890.62 960.62 960.62 970.62 970.62 960.62 950.62 930.62 950.62 960.62 930.62 950.62 94
CS-MVS0.62 850.62 860.62 890.62 960.62 960.62 970.62 970.62 960.62 950.62 930.62 950.62 960.62 930.62 950.62 94
SPE-MVS-test0.62 850.62 860.62 890.62 960.62 960.62 970.62 970.62 960.62 950.62 930.62 950.62 960.62 930.62 950.62 94
Effi-MVS+0.58 820.56 830.62 890.53 940.62 960.53 940.53 950.53 940.62 950.62 930.53 930.62 960.62 930.53 920.62 94
EC-MVSNet0.62 850.62 860.62 890.62 960.62 960.62 970.62 970.62 960.62 950.62 930.62 950.62 960.62 930.62 950.62 94
CDS-MVSNet0.88 900.88 910.88 950.88 1020.88 1020.88 1020.88 1030.88 1020.88 1010.88 990.88 1010.88 1020.88 1000.88 1000.88 100
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 900.88 910.88 950.88 1020.88 1020.88 1020.88 1030.88 1020.88 1010.88 990.88 1010.88 1020.88 1000.88 1000.88 100
LCM-MVSNet-Re0.89 920.89 930.89 970.89 1040.89 1040.89 1040.89 1050.89 1040.89 1030.89 1010.89 1030.89 1040.89 1020.89 1020.89 102
DeepMVS_CXcopyleft1.00 981.00 1051.00 1051.00 1061.00 1051.00 1041.00 1021.00 1041.00 1051.00 1031.00 1031.00 103
MDA-MVSNet-bldmvs1.20 931.20 941.20 991.20 1061.20 1071.20 1051.20 1081.20 1061.20 1051.20 1031.20 1051.20 1061.20 1041.20 1041.20 104
YYNet11.20 931.20 941.20 991.20 1061.20 1071.20 1051.20 1081.20 1061.20 1051.20 1031.20 1051.20 1061.20 1041.20 1041.20 104
MDA-MVSNet_test_wron1.20 931.20 941.20 991.20 1061.20 1071.20 1051.20 1081.20 1061.20 1051.20 1031.20 1051.20 1061.20 1041.20 1041.20 104
KD-MVS_2432*16001.30 961.30 971.30 1021.30 1091.30 1101.30 1081.30 1111.30 1091.30 1081.30 1061.30 1081.30 1091.30 1071.30 1071.30 107
miper_refine_blended1.30 961.30 971.30 1021.30 1091.30 1101.30 1081.30 1111.30 1091.30 1081.30 1061.30 1081.30 1091.30 1071.30 1071.30 107
EI-MVSNet-UG-set1.42 981.42 991.42 1041.42 1111.42 1121.42 1101.42 1131.42 1111.42 1101.42 1081.42 1101.42 1111.42 1091.42 1091.42 109
EI-MVSNet-Vis-set1.42 981.42 991.42 1041.42 1111.42 1121.42 1101.42 1131.42 1111.42 1101.42 1081.42 1101.42 1111.42 1091.42 1091.42 109
EI-MVSNet1.42 981.42 991.42 1041.42 1111.42 1121.42 1101.42 1131.42 1111.42 1101.42 1081.42 1101.42 1111.42 1091.42 1091.42 109
Regformer1.42 981.42 991.42 1041.42 1111.42 1121.42 1101.42 1131.42 1111.42 1101.42 1081.42 1101.42 1111.42 1091.42 1091.42 109
CVMVSNet1.42 981.42 991.42 1041.42 1111.42 1121.42 1101.42 1131.42 1111.42 1101.42 1081.42 1101.42 1111.42 1091.42 1091.42 109
EU-MVSNet1.42 981.42 991.42 1041.42 1111.42 1121.42 1101.42 1131.42 1111.42 1101.42 1081.42 1101.42 1111.42 1091.42 1091.42 109
PS-CasMVS1.42 981.42 991.42 1041.42 1111.42 1121.42 1101.42 1131.42 1111.42 1101.42 1081.42 1101.42 1111.42 1091.42 1091.42 109
UniMVSNet_NR-MVSNet1.42 981.42 991.42 1041.42 1111.42 1121.42 1101.42 1131.42 1111.42 1101.42 1081.42 1101.42 1111.42 1091.42 1091.42 109
PEN-MVS1.42 981.42 991.42 1041.42 1111.42 1121.42 1101.42 1131.42 1111.42 1101.42 1081.42 1101.42 1111.42 1091.42 1091.42 109
TransMVSNet (Re)1.42 981.42 991.42 1041.42 1111.42 1121.42 1101.42 1131.42 1111.42 1101.42 1081.42 1101.42 1111.42 1091.42 1091.42 109
DTE-MVSNet1.42 981.42 991.42 1041.42 1111.42 1121.42 1101.42 1131.42 1111.42 1101.42 1081.42 1101.42 1111.42 1091.42 1091.42 109
DU-MVS1.42 981.42 991.42 1041.42 1111.42 1121.42 1101.42 1131.42 1111.42 1101.42 1081.42 1101.42 1111.42 1091.42 1091.42 109
UniMVSNet (Re)1.42 981.42 991.42 1041.42 1111.42 1121.42 1101.42 1131.42 1111.42 1101.42 1081.42 1101.42 1111.42 1091.42 1091.42 109
CP-MVSNet1.42 981.42 991.42 1041.42 1111.42 1121.42 1101.42 1131.42 1111.42 1101.42 1081.42 1101.42 1111.42 1091.42 1091.42 109
WR-MVS_H1.42 981.42 991.42 1041.42 1111.42 1121.42 1101.42 1131.42 1111.42 1101.42 1081.42 1101.42 1111.42 1091.42 1091.42 109
WR-MVS1.42 981.42 991.42 1041.42 1111.42 1121.42 1101.42 1131.42 1111.42 1101.42 1081.42 1101.42 1111.42 1091.42 1091.42 109
NR-MVSNet1.42 981.42 991.42 1041.42 1111.42 1121.42 1101.42 1131.42 1111.42 1101.42 1081.42 1101.42 1111.42 1091.42 1091.42 109
Baseline_NR-MVSNet1.42 981.42 991.42 1041.42 1111.42 1121.42 1101.42 1131.42 1111.42 1101.42 1081.42 1101.42 1111.42 1091.42 1091.42 109
TranMVSNet+NR-MVSNet1.42 981.42 991.42 1041.42 1111.42 1121.42 1101.42 1131.42 1111.42 1101.42 1081.42 1101.42 1111.42 1091.42 1091.42 109
MVSFormer1.42 981.42 991.42 1041.42 1111.42 1121.42 1101.42 1131.42 1111.42 1101.42 1081.42 1101.42 1111.42 1091.42 1091.42 109
jason1.42 981.42 991.42 1041.42 1111.42 1121.42 1101.42 1131.42 1111.42 1101.42 1081.42 1101.42 1111.42 1091.42 1091.42 109
jason: jason.
lupinMVS1.42 981.42 991.42 1041.42 1111.42 1121.42 1101.42 1131.42 1111.42 1101.42 1081.42 1101.42 1111.42 1091.42 1091.42 109
test_djsdf1.42 981.42 991.42 1041.42 1111.42 1121.42 1101.42 1131.42 1111.42 1101.42 1081.42 1101.42 1111.42 1091.42 1091.42 109
reproduce_monomvs1.48 1211.48 1221.48 1271.48 1351.48 1351.48 1331.48 1381.48 1341.48 1331.48 1311.48 1331.48 1341.48 1321.48 1321.48 132
mmtdpeth1.48 1211.48 1221.48 1271.48 1351.48 1351.48 1331.48 1381.48 1341.48 1331.48 1311.48 1331.48 1341.48 1321.48 1321.48 132
reproduce_model1.48 1211.48 1221.48 1271.48 1351.48 1351.48 1331.48 1381.48 1341.48 1331.48 1311.48 1331.48 1341.48 1321.48 1321.48 132
reproduce-ours1.48 1211.48 1221.48 1271.48 1351.48 1351.48 1331.48 1381.48 1341.48 1331.48 1311.48 1331.48 1341.48 1321.48 1321.48 132
our_new_method1.48 1211.48 1221.48 1271.48 1351.48 1351.48 1331.48 1381.48 1341.48 1331.48 1311.48 1331.48 1341.48 1321.48 1321.48 132
mmdepth1.48 1211.48 1221.48 1271.48 1351.48 1351.48 1331.48 1381.48 1341.48 1331.48 1311.48 1331.48 1341.48 1321.48 1321.48 132
monomultidepth1.48 1211.48 1221.48 1271.48 1351.48 1351.48 1331.48 1381.48 1341.48 1331.48 1311.48 1331.48 1341.48 1321.48 1321.48 132
mvs5depth1.48 1211.48 1221.48 1271.48 1351.48 1351.48 1331.48 1381.48 1341.48 1331.48 1311.48 1331.48 1341.48 1321.48 1321.48 132
MVStest11.48 1211.48 1221.48 1271.48 1351.48 1351.48 1331.48 1381.48 1341.48 1331.48 1311.48 1331.48 1341.48 1321.48 1321.48 132
ttmdpeth1.48 1211.48 1221.48 1271.48 1351.48 1351.48 1331.48 1381.48 1341.48 1331.48 1311.48 1331.48 1341.48 1321.48 1321.48 132
alignmvs2.00 1312.00 1322.00 1372.00 1452.00 1452.00 1432.00 1482.00 1442.00 1432.00 1412.00 1432.00 1442.00 1422.00 1422.00 142
nrg0302.00 1312.00 1322.00 1372.00 1452.00 1452.00 1432.00 1482.00 1442.00 1432.00 1412.00 1432.00 1442.00 1422.00 1422.00 142
LFMVS2.00 1312.00 1322.00 1372.00 1452.00 1452.00 1432.00 1482.00 1442.00 1432.00 1412.00 1432.00 1442.00 1422.00 1422.00 142
VDD-MVS2.00 1312.00 1322.00 1372.00 1452.00 1452.00 1432.00 1482.00 1442.00 1432.00 1412.00 1432.00 1442.00 1422.00 1422.00 142
VDDNet2.00 1312.00 1322.00 1372.00 1452.00 1452.00 1432.00 1482.00 1442.00 1432.00 1412.00 1432.00 1442.00 1422.00 1422.00 142
VPNet2.00 1312.00 1322.00 1372.00 1452.00 1452.00 1432.00 1482.00 1442.00 1432.00 1412.00 1432.00 1442.00 1422.00 1422.00 142
VNet2.00 1312.00 1322.00 1372.00 1452.00 1452.00 1432.00 1482.00 1442.00 1432.00 1412.00 1432.00 1442.00 1422.00 1422.00 142
VPA-MVSNet2.00 1312.00 1322.00 1372.00 1452.00 1452.00 1432.00 1482.00 1442.00 1432.00 1412.00 1432.00 1442.00 1422.00 1422.00 142
cascas2.00 1312.00 1322.00 1372.00 1452.00 1452.00 1432.00 1482.00 1442.00 1432.00 1412.00 1432.00 1442.00 1422.00 1422.00 142
UnsupCasMVSNet_eth5.90 1405.90 1415.90 1465.90 1545.90 1545.90 1535.90 1605.90 1545.90 1525.90 1505.90 1545.90 1535.90 1515.90 1545.90 154
UnsupCasMVSNet_bld5.90 1405.90 1415.90 1465.90 1545.90 1545.90 1535.90 1605.90 1545.90 1525.90 1505.90 1545.90 1535.90 1515.90 1545.90 154
WTY-MVS5.90 1405.90 1415.90 1465.90 1545.90 1545.90 1535.90 1605.90 1545.90 1525.90 1505.90 1545.90 1535.90 1515.90 1545.90 154
HY-MVS5.90 15.90 1405.90 1415.90 1465.90 1545.90 1545.90 1535.90 1605.90 1545.90 1525.90 1505.90 1545.90 1535.90 1515.90 1545.90 154
sss5.90 1405.90 1415.90 1465.90 1545.90 1545.90 1535.90 1605.90 1545.90 1525.90 1505.90 1545.90 1535.90 1515.90 1545.90 154
Test_1112_low_res5.90 1405.90 1415.90 1465.90 1545.90 1545.90 1535.90 1605.90 1545.90 1525.90 1505.90 1545.90 1535.90 1515.90 1545.90 154
1112_ss5.90 1405.90 1415.90 1465.90 1545.90 1545.90 1535.90 1605.90 1545.90 1525.90 1505.90 1545.90 1535.90 1515.90 1545.90 154
ab-mvs-re5.90 1405.90 1415.90 1465.90 1545.90 1545.90 1535.90 1605.90 1545.90 1525.90 1505.90 1545.90 1535.90 1515.90 1545.90 154
ab-mvs5.90 1405.90 1415.90 1465.90 1545.90 1545.90 1535.90 1605.90 1545.90 1525.90 1505.90 1545.90 1535.90 1515.90 1545.90 154
CDPH-MVS6.66 1496.66 1506.66 1556.66 1636.66 1636.66 1626.66 1696.66 1636.66 1616.66 1596.66 1636.66 1626.66 1606.66 1636.66 163
dp87.20 169113.80 1737.42 15610.50 1758.88 164298.82 1902.70 157510.35 2097.79 162172.93 1833.37 1529.16 16314.00 1743.71 1524.23 152
MDTV_nov1_ep13_2view9.99 1659.99 1639.99 1649.99 1639.99 1659.99 1619.99 164
MDTV_nov1_ep139.99 1519.99 1649.99 1659.99 1639.99 1719.99 1649.99 1639.99 1609.99 1659.99 1649.99 1619.99 165
xiu_mvs_v1_base_debu10.28 15010.28 15210.28 15710.28 16510.28 16710.28 16510.28 17210.28 16610.28 16510.28 16110.28 16710.28 16510.28 16310.28 16610.28 165
xiu_mvs_v2_base10.28 15010.28 15210.28 15710.28 16510.28 16710.28 16510.28 17210.28 16610.28 16510.28 16110.28 16710.28 16510.28 16310.28 16610.28 165
xiu_mvs_v1_base10.28 15010.28 15210.28 15710.28 16510.28 16710.28 16510.28 17210.28 16610.28 16510.28 16110.28 16710.28 16510.28 16310.28 16610.28 165
xiu_mvs_v1_base_debi10.28 15010.28 15210.28 15710.28 16510.28 16710.28 16510.28 17210.28 16610.28 16510.28 16110.28 16710.28 16510.28 16310.28 16610.28 165
cdsmvs_eth3d_5k10.28 15010.28 15210.28 15710.28 16510.28 16710.28 16510.28 17210.28 16610.28 16510.28 16110.28 16710.28 16510.28 16310.28 16610.28 165
pcd_1.5k_mvsjas10.28 15010.28 15210.28 15710.28 16510.28 16710.28 16510.28 17210.28 16610.28 16510.28 16110.28 16710.28 16510.28 16310.28 16610.28 165
PS-MVSNAJss10.28 15010.28 15210.28 15710.28 16510.28 16710.28 16510.28 17210.28 16610.28 16510.28 16110.28 16710.28 16510.28 16310.28 16610.28 165
PS-MVSNAJ10.28 15010.28 15210.28 15710.28 16510.28 16710.28 16510.28 17210.28 16610.28 16510.28 16110.28 16710.28 16510.28 16310.28 16610.28 165
jajsoiax10.28 15010.28 15210.28 15710.28 16510.28 16710.28 16510.28 17210.28 16610.28 16510.28 16110.28 16710.28 16510.28 16310.28 16610.28 165
mvs_tets10.28 15010.28 15210.28 15710.28 16510.28 16710.28 16510.28 17210.28 16610.28 16510.28 16110.28 16710.28 16510.28 16310.28 16610.28 165
test_method18.29 16220.89 16410.50 16715.00 17713.00 17955.00 1823.00 15834.00 17911.50 17532.50 1735.00 15313.50 17627.00 1775.00 1535.00 153
SR-MVS-dyc-post11.55 16011.55 16211.55 16911.55 17611.55 17811.55 17511.55 18411.55 17611.55 17611.55 17111.55 17811.55 17511.55 17311.55 17611.55 175
GeoE19.41 16322.09 16511.37 16817.21 17911.30 17750.50 1814.30 15933.60 17811.70 17744.50 1787.30 16418.90 17822.60 1767.10 1643.90 151
XXY-MVS15.00 16115.00 16315.00 17015.00 17715.00 18015.00 17615.00 18615.00 17715.00 17815.00 17215.00 18215.00 17715.00 17515.00 17815.00 177
GBi-Net44.67 16849.24 17030.96 17147.53 18447.57 185126.09 1838.00 17076.99 18426.09 17973.50 18011.27 17730.55 17961.12 18212.58 17714.75 176
BH-w/o40.00 16440.00 16640.00 17240.00 18040.00 18140.00 17740.00 20540.00 18040.00 18040.00 17440.00 19940.00 18040.00 17840.00 19240.00 188
BH-untuned40.00 16440.00 16640.00 17240.00 18040.00 18140.00 17740.00 20540.00 18040.00 18040.00 17440.00 19940.00 18040.00 17840.00 19240.00 188
BH-RMVSNet40.00 16440.00 16640.00 17240.00 18040.00 18140.00 17740.00 20540.00 18040.00 18040.00 17440.00 19940.00 18040.00 17840.00 19240.00 188
TR-MVS40.00 16440.00 16640.00 17240.00 18040.00 18140.00 17740.00 20540.00 18040.00 18040.00 17440.00 19940.00 18040.00 17840.00 19240.00 188
new_pmnet88.14 17098.62 17156.70 17698.14 19156.07 186246.79 18515.37 187148.06 18550.77 184143.13 18123.35 18362.65 18493.26 18368.71 20251.38 198
N_pmnet88.14 17098.62 17156.70 17698.14 19156.07 186246.79 18515.37 187148.06 18550.77 184143.13 18123.35 18362.65 18493.26 18368.71 20251.38 198
MTAPA833442.10 3221111233.77 32867.09 17865.59 18564.81 188284.50 18710000000.00 360219.97 19059.62 186229.89 19412.72 179103.00 199203.67 20027.93 17933.46 178
MP-MVS-pluss833433.63 3211111219.60 32775.70 18274.28 18673.29 189284.50 18711.35 182238.58 19165.86 187255.35 19914.55 180115.69 20110000000.00 35431.94 18038.12 186
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMP_NAP118.81 175133.18 17775.70 18274.28 18673.29 189284.50 18711.35 182238.58 19165.86 187255.35 19914.55 180115.69 201222.18 20131.94 18038.12 186
CANet110.62 172124.04 17470.34 17982.03 18874.27 191325.54 19125.25 190207.16 18769.28 189194.38 18427.53 18595.79 193147.76 18737.43 18240.97 192
CANet_DTU110.62 172124.04 17470.34 17982.03 18874.27 191325.54 19125.25 190207.16 18769.28 189194.38 18427.53 18595.79 193147.76 18737.43 18240.97 192
UGNet110.62 172124.04 17470.34 17982.03 18874.27 191325.54 19125.25 190207.16 18769.28 189194.38 18427.53 18595.79 193147.76 18737.43 18240.97 192
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
FMVSNet5124.76 176140.93 17876.26 184107.44 194100.17 198329.88 19427.12 196259.44 19674.30 192204.34 18730.74 18892.41 186196.98 19038.15 18536.19 179
test1124.76 176140.93 17876.26 184107.44 194100.17 198329.88 19427.12 196259.44 19674.30 192204.34 18730.74 18892.41 186196.98 19038.15 18536.19 179
FMVSNet3124.76 176140.93 17876.26 184107.44 194100.17 198329.88 19427.12 196259.44 19674.30 192204.34 18730.74 18892.41 186196.98 19038.15 18536.19 179
FMVSNet2124.76 176140.93 17876.26 184107.44 194100.17 198329.88 19427.12 196259.44 19674.30 192204.34 18730.74 18892.41 186196.98 19038.15 18536.19 179
FMVSNet1124.76 176140.93 17876.26 184107.44 194100.17 198329.88 19427.12 196259.44 19674.30 192204.34 18730.74 18892.41 186196.98 19038.15 18536.19 179
MIMVSNet1124.76 176140.93 17876.26 184107.44 194100.17 198329.88 19427.12 196259.44 19674.30 192204.34 18730.74 18892.41 186196.98 19038.15 18536.19 179
MIMVSNet124.76 176140.93 17876.26 184107.44 194100.17 198329.88 19427.12 196259.44 19674.30 192204.34 18730.74 18892.41 186196.98 19038.15 18536.19 179
PVSNet_Blended_VisFu136.90 184155.40 18681.40 191111.00 20196.20 195407.00 20125.90 193251.60 19385.10 199240.50 19537.00 19599.90 196199.80 19740.70 19648.10 195
PVSNet_BlendedMVS136.90 184155.40 18681.40 191111.00 20196.20 195407.00 20125.90 193251.60 19385.10 199240.50 19537.00 19599.90 196199.80 19740.70 19648.10 195
PVSNet_Blended136.90 184155.40 18681.40 191111.00 20196.20 195407.00 20125.90 193251.60 19385.10 199240.50 19537.00 19599.90 196199.80 19740.70 19648.10 195
DSMNet-mixed131.33 183143.00 18596.33 19499.00 19381.00 194201.00 18445.00 210335.00 20399.00 202251.00 19838.00 198110.00 200120.00 18699.00 20898.00 204
BP-MVS1202.65 187232.15 189114.16 195183.40 205141.78 205655.87 20924.69 189372.56 204109.76 203356.89 20147.15 203139.51 203284.15 20354.86 19961.20 200
FE-MVS207.10 188234.26 190125.61 196180.34 204153.23 206635.64 20830.05 203378.38 205127.68 204377.08 20248.95 204154.43 204266.67 20263.56 20069.18 201
GDP-MVS219.79 189249.11 191131.85 197187.15 206155.97 207667.31 21030.57 204398.95 206131.26 205387.86 20358.83 206164.55 205315.00 20465.03 20175.04 202
FA-MVS(test-final)261.15 190293.29 192164.72 198236.23 209199.99 212800.05 21642.35 209475.87 208155.47 206470.67 20558.49 205205.24 207319.44 20581.03 20588.93 203
kuosan267.89 192301.05 194168.41 199244.05 210177.28 208667.98 21165.76 212533.41 210157.79 207492.01 206104.69 221226.72 208364.47 20879.31 204101.21 206
DP-MVS264.78 191296.02 193171.04 200191.70 207183.96 209827.10 21778.36 221438.24 207176.64 208435.12 20465.04 208230.52 210334.02 206117.96 21698.64 205
SSC-MVS320.23 194364.09 196188.66 201260.78 212193.84 210975.93 22573.11 217596.72 215185.29 209589.02 21274.47 210246.01 211427.42 21294.06 207126.12 209
WB-MVS316.44 193357.41 195193.51 202257.06 211213.32 215914.45 21949.03 211600.77 216186.42 210634.00 21875.03 211251.35 212411.39 20988.55 206115.87 208
UWE-MVS-28327.73 195369.67 197201.90 203281.09 218210.75 213832.98 21874.67 220680.98 223198.23 211613.42 215112.56 224259.80 213418.76 210114.35 210135.15 215
dongtai360.45 198401.64 200236.89 208303.10 219262.16 223963.12 22272.78 215622.82 219199.37 212708.06 221130.96 229310.90 218506.46 222108.11 209137.60 216
testing3418.10 206469.06 208265.23 216335.69 223290.63 2261240.88 24293.72 231717.99 225215.31 213811.97 234232.41 268358.74 224458.67 213114.88 211146.32 218
testing11348.86 197393.09 199216.15 204275.24 215239.53 216915.55 22072.35 214679.89 222215.75 214633.79 217118.08 226276.62 214509.56 223117.61 215132.30 211
testing91347.05 196389.92 198218.43 205275.92 216241.43 217923.71 22171.70 213667.65 221217.04 215629.00 216113.33 225281.39 215495.50 215115.45 212132.47 212
WB-MVSnew404.84 204458.00 206245.36 210374.70 229320.27 2311193.74 24072.90 216773.77 231238.30 216688.22 22090.05 214308.59 217532.76 226157.54 227107.21 207
EG-PatchMatch MVS437.03 209493.12 213268.77 217264.80 214260.20 2221491.80 24898.00 235723.20 227238.80 217722.40 22263.10 207382.00 230629.00 235207.00 242164.10 225
RPSCF394.81 203445.63 205242.35 209276.55 217253.63 2191207.27 24190.69 230715.56 224241.57 218684.87 219111.96 223320.02 220548.38 227133.81 218153.39 221
UWE-MVS387.98 201438.66 204235.93 206349.32 225257.61 2211081.50 23382.45 225637.74 220257.12 219738.54 223134.25 230308.00 216531.93 225135.11 219142.17 217
testing99408.82 205462.15 207248.86 212322.45 222269.42 2241118.93 23673.26 218719.36 226262.28 220772.10 225150.98 236327.08 221601.98 231137.99 220150.07 219
myMVS_eth3d28418.40 207473.07 209254.39 214261.18 213313.04 2271172.79 23974.16 219929.18 239264.68 221745.72 224139.03 234318.91 219549.18 228121.71 217131.21 210
Syy-MVS370.76 199415.60 202236.25 207310.54 220210.76 214965.13 22398.58 236746.06 228266.26 222788.85 22891.37 215364.76 226357.17 207116.42 213133.22 213
myMVS_eth3d390.90 202437.44 203251.28 213310.54 220255.86 220965.13 22398.58 236746.06 228266.26 222788.85 228154.95 237364.76 226490.19 214116.42 213133.22 213
ETVMVS443.50 212498.07 214279.78 218378.05 232321.57 2321163.68 23887.12 226897.50 238269.81 224822.83 235141.20 235334.53 223568.21 230154.21 222183.26 229
testing222430.52 208487.50 212259.56 215379.87 233282.69 2251138.34 23781.30 223880.86 235281.58 225834.27 236135.83 232333.22 222514.90 224140.56 221162.76 222
ADS-MVSNet2443.33 210482.84 210324.79 229434.94 242387.73 2401110.57 23487.69 227887.02 236282.92 226779.29 22698.57 219422.76 238502.40 216162.19 231163.87 223
ADS-MVSNet443.33 210482.84 210324.79 229434.94 242387.73 2401110.57 23487.69 227887.02 236282.92 226779.29 22698.57 219422.76 238502.40 216162.19 231163.87 223
DP-MVS Recon516.25 219581.17 220321.48 228361.02 226429.00 2441995.36 25678.48 222796.20 232283.32 228796.02 23096.78 216382.98 231636.72 237186.66 239152.46 220
MVP-Stereo473.58 213533.67 215293.33 220376.00 230318.00 2281461.00 24696.00 232835.00 233290.00 229804.00 23197.00 217383.00 232688.00 243156.00 224179.00 227
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 213533.67 215293.33 220376.00 230318.00 2281461.00 24696.00 232835.00 233290.00 229804.00 23197.00 217383.00 232688.00 243156.00 224179.00 227
WBMVS655.88 225770.84 230310.98 226391.79 236353.00 2362280.68 25899.17 2391776.79 272301.20 2311123.23 254187.34 254390.28 234620.39 234156.98 226189.66 232
testing3-2489.51 215555.88 218290.42 219362.21 227319.27 2301424.84 24588.81 229964.80 240309.62 232879.13 238174.38 244363.98 225643.82 239155.29 223188.01 230
PatchmatchNetpermissive492.52 216551.22 217316.40 227400.20 238357.90 2381277.10 243115.80 2431034.60 249315.90 233874.00 237155.10 238402.20 235629.50 236158.80 228189.10 231
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
SSC-MVS3.2667.82 227787.71 231308.16 224385.94 234327.65 2331718.51 251117.00 2451942.46 277317.12 2341488.73 268183.89 245404.82 236763.70 245172.02 234192.01 234
UBG667.82 227787.71 231308.16 224385.94 234327.65 2331718.51 251117.00 2451942.46 277317.12 2341488.73 268183.89 245404.82 236763.70 245172.02 234192.01 234
DELS-MVS514.57 218587.73 221295.12 222343.03 224328.09 2351540.48 250116.22 244988.59 241325.44 236906.22 239119.86 228365.72 228788.60 247161.09 230191.55 233
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
ACMH+729.97 2661.38 226754.00 228383.51 232368.96 228376.38 2392483.74 27082.42 2241089.25 250333.39 2371219.68 25566.53 209573.60 255957.86 253184.14 238200.56 236
tpmvs501.65 217567.42 219304.33 223395.39 237356.32 2371512.04 249216.53 272994.15 242350.16 238804.16 233119.38 227380.98 229555.14 229159.87 229175.69 226
IterMVS615.05 223691.66 226385.23 233516.40 245454.80 2451863.80 254102.10 2401142.20 251364.10 2391093.20 253135.00 231480.40 241826.90 248181.20 236220.50 237
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 224700.96 227362.78 231426.10 241409.25 2421822.69 253124.42 2551186.23 252366.85 2401079.42 251190.60 256451.78 240930.72 252181.59 237227.30 238
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
new-patchmatchnet766.12 231859.03 236487.38 246595.68 247536.14 2502346.27 260142.51 2601488.08 259422.43 2411361.32 259163.65 241628.60 2601003.74 262207.61 243297.41 252
SixPastTwentyTwo773.62 232869.37 238486.35 245603.45 249547.15 2592532.14 271106.92 2421434.95 258428.08 2421360.56 258165.15 242628.96 261984.09 254209.01 244282.94 249
lessismore_v0569.20 251667.25 268644.68 26896.45 234428.86 2431514.17 270204.21 263756.58 2641061.60 264197.79 241306.34 253
IterMVS-LS758.94 230856.56 235466.10 243606.60 250546.80 2582309.90 259122.20 2541402.80 257463.50 2441348.20 257192.60 257574.60 2561028.60 263234.60 254276.90 248
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
mvs_anonymous774.90 233882.28 239452.77 235636.50 259537.20 2512348.80 261120.30 2471504.30 260474.40 2451371.10 260186.90 247564.70 2481078.90 265219.30 245256.40 239
casdiffmvspermissive774.90 233882.28 239452.77 235636.50 259537.20 2512348.80 261120.30 2471504.30 260474.40 2451371.10 260186.90 247564.70 2481078.90 265219.30 245256.40 239
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
diffmvspermissive774.90 233882.28 239452.77 235636.50 259537.20 2512348.80 261120.30 2471504.30 260474.40 2451371.10 260186.90 247564.70 2481078.90 265219.30 245256.40 239
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
baseline2774.90 233882.28 239452.77 235636.50 259537.20 2512348.80 261120.30 2471504.30 260474.40 2451371.10 260186.90 247564.70 2481078.90 265219.30 245256.40 239
baseline1774.90 233882.28 239452.77 235636.50 259537.20 2512348.80 261120.30 2471504.30 260474.40 2451371.10 260186.90 247564.70 2481078.90 265219.30 245256.40 239
casdiffmvs_mvgpermissive774.90 233882.28 239452.77 235636.50 259537.20 2512348.80 261120.30 2471504.30 260474.40 2451371.10 260186.90 247564.70 2481078.90 265219.30 245256.40 239
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
baseline774.90 233882.28 239452.77 235636.50 259537.20 2512348.80 261120.30 2471504.30 260474.40 2451371.10 260186.90 247564.70 2481078.90 265219.30 245256.40 239
ACMH993.80 5967.92 2481106.11 258553.33 249494.00 244534.00 2493581.00 276136.00 2571585.00 269478.00 2521871.00 27590.00 212839.00 2671460.00 276260.00 255287.00 250
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet1207.94 6829.56 243937.18 246506.69 247645.55 266585.72 2612477.98 269130.52 2561578.29 268509.50 2531460.01 267194.90 258637.19 2621170.78 273267.07 258297.17 251
Gipumacopyleft689.75 229767.00 229458.00 242613.00 257549.00 2601943.00 255187.00 2691230.00 253518.00 2541092.00 252203.00 262564.00 247892.00 251225.00 252261.00 246
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft863.65 3957.08 2471054.11 256666.00 261401.00 239495.00 2473790.00 278279.00 2741607.00 270521.00 2551745.00 27390.00 2121105.00 284639.00 238415.00 269398.00 266
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
K. test v3877.74 245980.16 248570.46 2521316.85 291813.15 2772565.52 272103.78 2411509.49 267548.33 2561258.90 256219.93 267587.82 2571102.37 272196.30 240310.42 254
GG-mvs-BLEND596.01 253611.29 254600.33 262790.30 213513.12 308552.71 257567.40 207662.54 312531.67 242503.93 218779.80 290656.02 274
gg-mvs-nofinetune594.69 220605.37 222562.67 250617.29 258500.33 248772.30 212413.12 293579.21 211552.71 257567.40 207662.54 312531.67 242503.93 218779.80 290656.02 274
CR-MVSNet612.36 222617.81 225596.01 253611.29 254600.33 262790.30 213513.12 308579.21 211552.71 257567.40 207662.54 312531.67 242503.93 218779.80 290656.02 274
MVSTER890.06 2461005.91 255542.52 248736.13 271653.90 2692616.56 273145.22 2621692.10 271555.69 2601554.72 271266.25 269660.02 2631219.66 274266.84 257313.64 255
ACMP1246.57 71086.24 2561235.17 260639.45 256596.53 248639.91 2673904.24 279152.04 2631851.54 274566.58 2611997.95 277138.50 233938.30 2711605.46 278303.70 264340.14 257
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
PVSNet_01661.03 9968.54 2491066.82 257673.70 262706.94 269695.69 2702669.02 274153.52 2642108.17 280605.54 2621679.14 272213.26 266886.75 2701236.76 275229.01 253438.67 267
tmp_tt371.08 200412.78 201246.00 211231.00 208197.00 2111293.00 244376.00 285756.00 230609.00 26371.00 179106.00 222195.00 206102.00 185171.00 233346.00 259
RE-MVS-def610.10 223610.10 252610.10 265610.10 206610.10 317610.10 217610.10 264610.10 213610.10 300610.10 232610.10 273610.10 271
SR-MVS610.10 221610.10 223610.10 255610.10 252610.10 265610.10 206610.10 317610.10 217610.10 264610.10 213610.10 300610.10 258610.10 232610.10 273610.10 271
MSLP-MVS++1242.93 2611411.08 264738.48 266712.71 270712.68 2714168.17 281136.50 2582276.40 282613.28 2662368.60 282161.61 2401130.38 2851964.54 285297.88 261372.39 262
MVS_111021_LR1136.45 2591298.72 262649.64 257756.17 272726.26 2733785.94 277138.15 2592190.64 281629.63 2672064.39 278165.45 243874.83 2691678.43 281279.70 259347.82 260
ACMMPR1296.60 2631480.82 266743.96 267899.25 276763.47 2754305.47 282143.90 2612530.94 285683.99 2682346.34 281201.65 2611098.25 2831920.59 284295.21 260370.16 261
test_04021110.00 2581260.00 261660.00 258900.00 277780.00 2763300.00 275210.00 2712040.00 279690.00 2691950.00 276300.00 273810.00 2661620.00 279330.00 265390.00 265
DeepC-MVS_fast2190.19 121535.59 2661886.82 270481.89 244847.73 273830.16 2787943.84 303189.23 2702398.83 283691.73 2702341.13 280209.16 264230.25 2091999.25 286360.46 266385.25 264
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ACMM1311.08 81165.06 2601332.72 263662.07 260584.90 246715.99 2724373.59 283153.99 2651880.27 275709.02 2712316.97 279188.63 255939.89 2721484.30 277302.78 263330.34 256
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
TSAR-MVS + GP.1386.84 2641622.84 268678.81 263952.13 278840.17 2795358.21 287170.75 2672650.47 286713.54 2722394.28 283209.42 265855.56 2681854.36 283302.42 262340.71 258
MG-MVS1256.50 2621432.00 265730.00 265610.00 251760.00 2744720.00 284169.00 2661920.00 276723.00 2732510.00 285201.00 2601050.00 2821645.00 280390.00 268380.00 263
CSCG826.03 242963.29 247414.24 234421.52 240426.11 2432230.35 257179.52 2681827.44 273733.43 274933.12 241281.25 270545.23 2461800.35 282262.64 256271.38 247
FPMVS1407.00 2651495.59 2671141.23 278648.01 267893.85 2814124.00 280503.81 3073219.04 288742.72 2752498.84 284157.98 2391727.83 291832.93 249732.98 289802.00 283
Patchmtry1090.75 2571198.88 259766.38 2681290.90 289485.90 2462423.98 2681267.30 3401297.17 254923.90 276923.40 2401215.54 333990.23 273667.90 240779.80 290823.02 288
PatchT856.34 244860.99 237842.38 2691290.90 289880.90 280790.30 2131267.30 340579.21 211923.90 276567.40 207662.54 312990.23 273887.56 250779.80 290656.02 274
COLMAP_ROBcopyleft2144.59 111658.33 2671869.33 2691025.33 2771030.00 2861023.00 2915311.00 286359.00 2833044.00 287937.00 2782892.00 286332.00 2771440.00 2882312.00 288607.00 272613.00 273
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
ambc999.00 270999.00 279999.00 284999.00 226999.00 333999.00 279999.00 242999.00 325999.00 275999.00 255999.00 309999.00 306
OurMVSNet-221017-0999.00 250999.00 249999.00 270999.00 279999.00 284999.00 226999.00 333999.00 243999.00 279999.00 242999.00 325999.00 275999.00 255999.00 309999.00 306
EPMVS999.00 250999.00 249999.00 270999.00 279999.00 284999.00 226999.00 333999.00 243999.00 279999.00 242999.00 325999.00 275999.00 255999.00 309999.00 306
uanet_test1000.00 2521000.00 2511000.00 2731000.00 2821000.00 2871000.00 2291000.00 3361000.00 2451000.00 2821000.00 2451000.00 3281000.00 2781000.00 2581000.00 3121000.00 309
sosnet1000.00 2521000.00 2511000.00 2731000.00 2821000.00 2871000.00 2291000.00 3361000.00 2451000.00 2821000.00 2451000.00 3281000.00 2781000.00 2581000.00 3121000.00 309
USDC1000.00 2521000.00 2511000.00 2731000.00 2821000.00 2871000.00 2291000.00 3361000.00 2451000.00 2821000.00 2451000.00 3281000.00 2781000.00 2581000.00 3121000.00 309
TinyColmap1000.00 2521000.00 2511000.00 2731000.00 2821000.00 2871000.00 2291000.00 3361000.00 2451000.00 2821000.00 2451000.00 3281000.00 2781000.00 2581000.00 3121000.00 309
JIA-IIPM804.30 241835.64 234710.26 264885.90 274895.90 282455.98 204668.73 3221297.17 2541002.26 2861001.67 249655.98 310756.98 265667.90 240885.21 302477.90 268
RPMNet787.26 240829.13 233661.63 259885.90 274895.90 282455.98 204610.10 3171297.17 2541002.26 2861001.67 249655.98 310611.10 259667.90 240885.21 302477.90 268
F-COLMAP1878.17 2682113.11 2711173.33 2811231.00 2871174.00 2926297.00 289392.00 2883356.00 2901087.00 2883082.00 287361.00 2811670.00 2902523.00 290689.00 279676.00 278
PCF-MVS4335.85 202272.23 2742597.03 2771297.84 2821701.20 2961332.37 2938105.11 304451.45 2964031.84 2951099.10 2893966.50 294467.45 2891734.05 2922701.68 293848.94 299827.11 289
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CMPMVSbinary2623.62 151983.08 2702156.14 2721463.89 2911414.80 2931517.00 2975239.20 285867.40 3273310.30 2891128.70 2903489.90 289366.75 2822030.20 3022427.60 2891160.60 321844.46 291
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
OpenMVScopyleft2352.88 132263.08 2732530.89 2761459.67 2901767.00 3041591.00 3007932.00 302399.00 2893643.00 2911176.00 2913569.00 291297.00 2721927.00 2983302.00 296693.00 284861.00 292
MVS-HIRNet2125.39 2712452.68 2741143.53 2792938.33 3341446.92 2966083.19 288391.74 2873801.71 2931202.10 2923439.72 288492.73 2911304.35 2873048.25 295676.32 278679.32 279
ZD-MVS1584.00 2941821.00 317378.00 2863721.00 2921231.00 2931833.00 274321.00 2761224.00 2862103.00 287692.00 283
DeepPCF-MVS3452.42 182670.71 2823021.57 2841618.12 2932377.67 3201751.39 3138915.70 309567.44 3154569.74 3021236.84 2944615.63 300513.23 2922291.32 3043515.48 300882.39 301811.66 285
PLCcopyleft2858.82 162192.92 2722474.00 2751349.67 2831407.00 2921356.00 2947164.00 294475.00 3003970.00 2941237.00 2953765.00 293451.00 2881891.00 2963006.00 294791.00 295802.00 283
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
Vis-MVSNetpermissive2877.42 2853170.00 2881999.67 3061673.00 2952042.00 3238593.00 307474.00 2996452.00 3191268.00 2965125.00 307339.00 2783004.00 3204222.00 310384.00 267953.00 302
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
DeepC-MVS3917.13 193155.06 2883601.83 2911814.72 3012515.52 3231941.53 31810432.50 324589.42 3164789.45 3031298.65 2977677.31 325578.35 2992589.53 3103611.78 302923.52 304913.10 297
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
test_0728_THIRD5016.02 3061363.85 2984894.28 304387.23 2832023.43 2993973.88 304620.04 275732.56 280
test07261725.60 2971598.35 3019203.30 310315.86 2775016.02 3061363.85 2984894.28 304387.23 283
SD-MVS2654.53 2813055.56 2861451.45 2881725.60 2971598.35 3019203.30 310315.86 2775016.02 3061363.85 2984894.28 304387.23 2832023.43 2993973.88 304620.04 275732.56 280
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
3Dnovator2482.06 142531.17 2782839.56 2811606.00 2921732.00 3001557.00 2998375.00 306483.00 3014370.00 3001371.00 3014200.00 295350.00 2792207.00 3033877.00 303798.00 2961054.00 313
SteuartSystems-ACMMP2891.50 2863284.78 2891711.67 2961954.00 3071655.00 30710117.00 323445.00 2955102.00 3091375.00 3025126.00 308351.00 2802638.00 3164402.00 311691.00 282842.00 290
Skip Steuart: Steuart Systems R&D Blog.
AdaColmapbinary2570.77 2802948.61 2831437.24 2871873.64 3061526.60 2987819.77 301373.97 2844970.45 3041479.29 3034648.46 301525.80 2941904.97 2974150.42 308695.69 285880.14 296
LF4IMVS2699.50 2833049.67 2851649.00 2941755.00 3011689.00 3088330.00 305464.00 2984997.00 3051528.00 3044763.00 303568.00 2982296.00 3054215.00 309827.00 298962.00 303
tpmrst2557.50 2792847.12 2821688.66 2951784.08 3051778.25 3147445.50 300342.14 2804471.54 3011534.55 3054382.10 299530.10 2952361.21 3064142.81 307991.22 307926.51 298
CHOSEN 280x4202340.81 2752643.03 2781434.14 2842025.55 3131629.36 3046542.40 290412.49 2904219.70 2971547.02 3064328.52 296650.74 3071798.26 2933333.17 297727.72 286874.79 293
CHOSEN 1792x26882340.81 2752643.03 2781434.14 2842025.55 3131629.36 3046542.40 290412.49 2904219.70 2971547.02 3064328.52 296650.74 3071798.26 2933333.17 297727.72 286874.79 293
HyFIR lowres test2340.81 2752643.03 2781434.14 2842025.55 3131629.36 3046542.40 290412.49 2904219.70 2971547.02 3064328.52 296650.74 3071798.26 2933333.17 297727.72 286874.79 293
DPM-MVS3268.00 2893762.89 2921783.33 2991756.00 3021806.00 31512319.00 326307.00 2756319.00 3171557.00 3095763.00 310302.00 2742609.00 3125061.00 315482.00 270935.00 300
OPM-MVS3268.00 2893762.89 2921783.33 2991756.00 3021806.00 31512319.00 326307.00 2756319.00 3171557.00 3095763.00 310302.00 2742609.00 3125061.00 315482.00 270935.00 300
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
EGC-MVSNET2819.75 2843096.89 2871988.33 3053105.00 3352241.00 3259480.00 314640.00 3214209.00 2961583.00 3114740.00 302547.00 2972797.00 3182644.00 292924.00 305927.00 299
tpm23617.85 2934007.23 2952449.73 3132012.71 3091698.05 3097351.19 296869.29 3286132.06 3121588.28 3128007.42 3281281.09 3343888.11 3327472.04 3331351.00 3231763.02 329
tpm cat13617.85 2934007.23 2952449.73 3132012.71 3091698.05 3097351.19 296869.29 3286132.06 3121588.28 3128007.42 3281281.09 3343888.11 3327472.04 3331351.00 3231763.02 329
CostFormer3617.85 2934007.23 2952449.73 3132012.71 3091698.05 3097351.19 296869.29 3286132.06 3121588.28 3128007.42 3281281.09 3343888.11 3327472.04 3331351.00 3231763.02 329
tpm3617.85 2934007.23 2952449.73 3132012.71 3091698.05 3097351.19 296869.29 3286132.06 3121588.28 3128007.42 3281281.09 3343888.11 3327472.04 3331351.00 3231763.02 329
DVP-MVS++3981.10 2994731.32 3041730.42 2972191.51 3161949.98 31916473.90 335355.33 2817172.90 3281622.98 3167879.79 326434.33 2862428.11 3085762.12 318689.04 280813.18 286
DVP-MVScopyleft3981.10 2994731.32 3041730.42 2972191.51 3161949.98 31916473.90 335355.33 2817172.90 3281622.98 3167879.79 326434.33 2862428.11 3085762.12 318689.04 280813.18 286
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
OpenMVS_ROBcopyleft1936.51 101959.51 2692224.88 2731163.39 2801253.91 2881434.22 2957065.71 293272.76 2732472.29 2841647.54 3183538.72 290200.37 2591496.48 2892575.17 291997.45 308559.48 270
TAPA-MVS6309.84 213374.90 2913806.99 2942078.63 3082535.47 3242499.25 3338816.16 308456.05 2976255.60 3161664.52 3196704.88 315629.95 3052768.38 3176343.93 329856.35 300968.25 304
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.3528.01 2924065.89 2991914.35 3022349.10 3192141.30 32412362.70 328417.60 2946717.80 3231759.40 3206497.50 313518.18 2932629.38 3155164.32 317806.40 297972.38 305
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
3Dnovator+3414.41 173146.67 2873537.00 2901975.67 3032310.00 3182005.00 32210100.00 322626.00 3205753.00 3101803.00 3215179.00 309487.00 2902622.00 3144550.00 3121025.00 3161300.00 320
ITE_SJBPF2014.00 3071998.00 3081992.00 321701.00 3235989.00 3111812.00 3223612.00 292650.00 3062852.00 3194601.00 3131195.00 3221198.00 319
MVS_111021_HR3742.80 2974330.34 3001980.20 3042484.31 3222259.52 32614973.80 333515.90 3146500.13 3201949.21 3236146.89 312535.66 2962593.66 3114880.76 314986.37 3061087.43 314
FOURS12643.17 3252465.14 32813996.40 330493.26 3027619.38 3312107.24 324
PC_three_14527619.38 3312107.24 3247416.93 322610.24 3023088.29 3256075.14 3251078.39 3171159.26 315
test_one_06012643.17 3252465.14 328493.26 3027619.38 3312107.24 3247416.93 322610.24 302
SED-MVS4062.74 3024671.13 3032237.56 3092643.17 3252465.14 32813996.40 330493.26 3027619.38 3312107.24 3247416.93 322610.24 3023088.29 3256075.14 3251078.39 3171159.26 315
IU-MVS2725.60 3302598.35 334515.86 3107016.02 3242363.85 3285973.88 3211620.04 3291732.56 325
test_241102_TWO515.86 3107016.02 3242363.85 3286894.28 316887.23 3203023.43 3215973.88 3211620.04 3291732.56 325
test_241102_ONE2725.60 3302598.35 334515.86 3107016.02 3242363.85 3286894.28 316887.23 3203023.43 321
MSP-MVS4296.20 3034911.12 3072451.45 3172725.60 3302598.35 33416203.30 334515.86 3107016.02 3242363.85 3286894.28 316887.23 3203023.43 3215973.88 3211620.04 3291732.56 325
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
GST-MVS4000.00 3014533.33 3022400.00 3122400.00 3212400.00 3277200.00 2952400.00 3447200.00 3302400.00 3327200.00 3202400.00 3382400.00 3077200.00 3312400.00 3352400.00 334
MAR-MVS3973.16 2984387.92 3012728.86 3193345.27 3363341.39 34011403.90 325798.76 3256555.62 3222569.29 3336514.86 314834.97 3193237.43 3295891.08 3201577.54 3281607.76 321
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
API-MVS4380.83 3044906.56 3062803.67 3203844.00 3373116.00 33913454.00 329901.00 3326511.00 3212794.00 3347365.00 321754.00 3163634.00 3306622.00 3301914.00 3341661.00 324
OMC-MVS5022.26 3055748.82 3082842.58 3214905.27 3393101.27 33814933.60 332812.24 3269278.40 3352959.29 3358800.17 3321092.24 3323806.30 3317568.54 3371389.60 3271620.18 323
LS3D7684.71 3078776.23 3104410.16 3235298.55 3405631.53 34234329.90 3441504.57 34211554.00 3443896.41 33615111.00 341812.19 3175985.63 3373516.20 3012963.23 3361613.31 322
CLD-MVS7338.25 3068341.00 3094330.00 3224902.00 3384991.00 34123318.00 342728.00 32414437.00 3454378.00 33713379.00 340824.00 3185708.00 33611429.00 3461674.00 3332291.00 333
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
MVEpermissive10021.00 2210550.67 31510002.44 31812195.33 3326242.00 3418768.00 34430896.00 3434451.00 34510331.00 3436247.00 33818296.00 342283.00 27121484.00 3467364.00 3325912.00 3386334.00 336
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 31611772.44 3197637.33 3249120.00 3428206.00 34322252.00 3412010.00 34324984.00 3467458.00 33922596.00 3432940.00 33910260.00 34511100.00 3453492.00 3374446.00 335
ZNCC-MVS9999.00 3089999.00 3119999.00 3259999.00 3439999.00 3459999.00 3159999.00 3489999.00 3369999.00 3409999.00 3339999.00 3419999.00 3389999.00 3389999.00 3399999.00 337
patch_mono-210000.00 30910000.00 31210000.00 32610000.00 34410000.00 34610000.00 31610000.00 34910000.00 33710000.00 34110000.00 33410000.00 34210000.00 33910000.00 33910000.00 34010000.00 338
dcpmvs_210000.00 30910000.00 31210000.00 32610000.00 34410000.00 34610000.00 31610000.00 34910000.00 33710000.00 34110000.00 33410000.00 34210000.00 33910000.00 33910000.00 34010000.00 338
DCPMVS10000.00 30910000.00 31210000.00 32610000.00 34410000.00 34610000.00 31610000.00 34910000.00 33710000.00 34110000.00 33410000.00 34210000.00 33910000.00 33910000.00 34010000.00 338
UA-Net10000.00 30910000.00 31210000.00 32610000.00 34410000.00 34610000.00 31610000.00 34910000.00 33710000.00 34110000.00 33410000.00 34210000.00 33910000.00 33910000.00 34010000.00 338
uncertanet10000.00 30910000.00 31210000.00 32610000.00 34410000.00 34610000.00 31610000.00 34910000.00 33710000.00 34110000.00 33410000.00 34210000.00 33910000.00 33910000.00 34010000.00 338
uanet10000.00 30910000.00 31210000.00 32610000.00 34410000.00 34610000.00 31610000.00 34910000.00 33710000.00 34110000.00 33410000.00 34210000.00 33910000.00 33910000.00 34010000.00 338
LTVRE_ROB20565.47 2323378.08 31722805.00 32025097.33 33315500.00 35019201.00 35242712.00 3456055.00 34638388.00 34716926.00 34738534.00 3447071.00 34035653.00 34729475.00 34710584.00 34620438.00 345
Andreas Kuhn, Heiko Hirschmüller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016
MSDG32606.17 31834443.44 32127094.33 33429249.00 35125246.00 35351144.00 3466705.00 34742886.00 34822888.00 34848534.00 34513263.00 34837507.00 34879298.00 34816024.00 34718530.00 344
114514_t99999.00 31999999.00 32299999.00 33599999.00 35299999.00 35499999.00 34799999.00 35599999.00 34999999.00 34999999.00 34699999.00 34999999.00 34999999.00 34999999.00 34899999.00 346
PHI-MVS99999.00 31999999.00 32299999.00 33599999.00 35299999.00 35499999.00 34799999.00 35599999.00 34999999.00 34999999.00 34699999.00 34999999.00 34999999.00 34999999.00 34899999.00 346
XVG-OURS-SEG-HR999999.00 323999999.00 324999999.00 337999999.00 354999999.00 356999999.00 349999999.00 357999999.00 351999999.00 351999999.00 348999999.00 351999999.00 351999999.00 351999999.00 350999999.00 348
XVG-OURS999999.00 323999999.00 324999999.00 337999999.00 354999999.00 356999999.00 349999999.00 357999999.00 351999999.00 351999999.00 348999999.00 351999999.00 351999999.00 351999999.00 350999999.00 348
XVG-ACMP-BASELINE999999.00 323999999.00 324999999.00 337999999.00 354999999.00 356999999.00 349999999.00 357999999.00 351999999.00 351999999.00 348999999.00 351999999.00 351999999.00 351999999.00 350999999.00 348
MED-MVS test10000000.00 34010000000.00 35710000000.00 35921344.80 33710000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35310000000.00 351
MED-MVS9168445.40 3268891260.53 32910000000.00 34010000000.00 35710000000.00 35921344.80 33710000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
TestfortrainingZip a9168445.40 3268891260.53 32910000000.00 34010000000.00 35710000000.00 35921344.80 33710000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
mamba_040810000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
icg_test_0407_210000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
SSM_0407210000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
SSM_040710000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
IMVS_040710000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
IMVS_040410000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
SSM_040410000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
IMVS_040310000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
SD_040310000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
ME-MVS10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
NormalMVS10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
lecture10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
SymmetryMVS10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
Elysia10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
StellarMVS10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
KinetiMVS10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
LuminaMVS10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
VortexMVS10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
AstraMVS10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
guyue10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
sc_t110000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
tt0320-xc10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
tt032010000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
MVSMamba_PlusPlus10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
MGCFI-Net10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
sasdasda10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
dmvs_re10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
SDMVSNet10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
dmvs_testset10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
sd_testset10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
balanced_conf0310000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
MonoMVSNet10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
test250610000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
test111110000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
ECVR-MVScopyleft10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
test_blank10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
tt080510000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
Anonymous2024052110000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
cl2210000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
miper_ehance_all_eth10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
miper_enhance_ethall10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
cl____10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
DIV-MVS_self_test10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
eth_miper_zixun_eth10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
ET-MVSNet_ETH3D10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
UniMVSNet_ETH3D10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
miper_lstm_enhance10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
D2MVS10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
test_yl10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
thisisatest053010000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
Anonymous2024052910000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
Anonymous20240521110000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
DCV-MVSNet10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
tttt051710000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
our_test_310000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
thisisatest051510000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
ppachtmachnet_test10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
SMA-MVScopyleft10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
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-MVScopyleft10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
test_part210000000.00 35710000000.00 35910000000.00 354
thres100view90010000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
tfpnnormal10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
tfpn200view910000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
c3_l10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
IterMVS-SCA-FT10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
pmmvs610000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
pmmvs510000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
Anonymous2023121110000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
pmmvs-eth3d10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
Anonymous2023120610000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
SCA10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
Patchmatch-test10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
Patchmatch-RL test10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
canonicalmvs10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
anonymousdsp10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
FIs10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
FC-MVSNet-test10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
sosnet-low-res10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
AllTest10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
TestCases10000000.00 34010000000.00 35710000000.00 35910000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
RRT-MVS10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
mamv410000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
HPM-MVS++copyleft10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
XVS10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
pm-mvs110000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
X-MVStestdata10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
APDe-MVScopyleft10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
pmmvs410000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
test-LLR10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
TESTMET0.1,110000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
test-mter10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
testgi10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
test20.0310000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
thres600view710000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
MP-MVScopyleft10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
thres40010000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
test12310000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
thres20010000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
test0.0.03 110000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
pmmvs310000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
EMVS10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
E-PMN10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
PGM-MVS10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
MCST-MVS10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
MVS_Test10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
PMMVS210000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
PM-MVS10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
HQP_MVS10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
plane_prior310000000.00 35910000000.00 35410000000.00 354
mPP-MVS10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
mvsmamba10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
HPM-MVS_fast10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
HPM-MVScopyleft10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
LGP-MVS_train10000000.00 34010000000.00 35710000000.00 35910000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
EPNet_dtu10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP-NCC10000000.00 35710000000.00 35210000000.00 35410000000.00 354
ACMP_Plane10000000.00 35710000000.00 35210000000.00 35410000000.00 354
HQP4-MVS10000000.00 35410000000.00 35410000000.00 351
CNVR-MVS10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
NCCC10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
CP-MVS10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
CPTT-MVS10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
HQP-MVS10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
IS-MVSNet10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
PAPM_NR10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
PAPR10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
Vis-MVSNet (Re-imp)10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
PatchMatch-RL10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
TDRefinement10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
EPP-MVSNet10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
PMMVS10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
PAPM10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
ACMMPcopyleft10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
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_high10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
wuyk23d10000000.00 32810000000.00 33110000000.00 34010000000.00 35710000000.00 35910000000.00 35210000000.00 36010000000.00 35410000000.00 35410000000.00 35110000000.00 35410000000.00 35410000000.00 35410000000.00 35310000000.00 351
APD-MVScopyleft1000000000.00 4601000000000.00 4631000000000.00 4771000000000.00 5021000000000.00 5021000000000.00 4891000000000.00 5021000000000.00 4951000000000.00 4961000000000.00 4931000000000.00 4971000000000.00 4961000000000.00 4951000000000.00 4941000000000.00 492
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
TestfortrainingZip21344.80 337
WAC-MVS248.46 218422.23 211
MSC_two_6792asdad2237.56 3092643.17 3252465.14 328493.26 3023088.29 3256075.14 3251078.39 3171159.26 315
No_MVS2237.56 3092643.17 3252465.14 328493.26 3023088.29 3256075.14 3251078.39 3171159.26 315
eth-test21.42 111
eth-test10000000.00 357
OPU-MVS2451.45 3172725.60 3302598.35 3349203.30 3106894.28 316887.23 3203023.43 3215973.88 3211620.04 3291732.56 325
save fliter0.00 10.00 10.00 10.00 10.00 1
test_0728_SECOND1451.45 2881725.60 2971598.35 3019203.30 310315.86 2772023.43 2993973.88 304620.04 275732.56 280
GSMVS10000000.00 351
sam_mvs110000000.00 35410000000.00 351
sam_mvs10000000.00 354
MTGPAbinary10000000.00 360
test_post110000000.00 35210000000.00 35110000000.00 35410000000.00 35410000000.00 354
test_post10000000.00 35110000000.00 35410000000.00 354
patchmatchnet-post10000000.00 35110000000.00 35410000000.00 354
MTMP10000000.00 35210000000.00 360
gm-plane-assit611.29 254600.33 262579.21 211567.40 207531.67 242503.93 218
test9_res0.00 10.00 10.00 1
agg_prior20.00 10.00 10.00 1
test_prior40.00 10.00 1
test_prior0.00 10.00 10.00 10.00 10.00 10.00 1
新几何20.00 1
旧先验10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
无先验0.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM20.00 1
testdata20.00 10.00 1
segment_acmp0.00 1
testdata10.00 10.00 1
plane_prior710000000.00 35710000000.00 359
plane_prior610000000.00 35710000000.00 35910000000.00 354
plane_prior510000000.00 36010000000.00 35410000000.00 35410000000.00 35310000000.00 351
plane_prior410000000.00 351
plane_prior210000000.00 35210000000.00 354
plane_prior110000000.00 357
plane_prior1.00 1052.00 1432.00 1442.00 142
n214.20 185
nn1.42 113
door-mid1.42 113
test111.00 106
door99.00 238
HQP5-MVS10000000.00 359
BP-MVS10000000.00 354
HQP3-MVS10000000.00 36010000000.00 353
HQP2-MVS10000000.00 354
NP-MVS10000000.00 35710000000.00 35910000000.00 351
ACMMP++_ref10000000.00 353
ACMMP++10000000.00 353
Test By Simon990.00 324