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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
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
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
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
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
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
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-mvs330.30 620.30 630.30 670.30 740.30 740.30 740.30 750.30 740.30 730.30 710.30 730.30 740.30 720.30 720.30 72
hse-mvs20.30 620.30 630.30 670.30 740.30 740.30 740.30 750.30 740.30 730.30 710.30 730.30 740.30 720.30 720.30 72
CL-MVSNet_self_test0.30 620.30 630.30 670.30 740.30 740.30 740.30 750.30 740.30 730.30 710.30 730.30 740.30 720.30 720.30 72
AUN-MVS0.30 620.30 630.30 670.30 740.30 740.30 740.30 750.30 740.30 730.30 710.30 730.30 740.30 720.30 720.30 72
LCM-MVSNet0.37 660.36 670.37 710.37 780.37 780.37 780.32 790.37 780.37 770.37 750.37 770.37 780.37 760.37 760.37 76
v1441920.40 670.40 680.40 720.40 790.40 790.40 790.40 810.40 790.40 780.40 760.40 780.40 790.40 770.40 770.40 77
v19219200.40 670.40 680.40 720.40 790.40 790.40 790.40 810.40 790.40 780.40 760.40 780.40 790.40 770.40 770.40 77
v11920.40 670.40 680.40 720.40 790.40 790.40 790.40 810.40 790.40 780.40 760.40 780.40 790.40 770.40 770.40 77
v11440.40 670.40 680.40 720.40 790.40 790.40 790.40 810.40 790.40 780.40 760.40 780.40 790.40 770.40 770.40 77
v1480.40 670.40 680.40 720.40 790.40 790.40 790.40 810.40 790.40 780.40 760.40 780.40 790.40 770.40 770.40 77
v7n0.40 670.40 680.40 720.40 790.40 790.40 790.40 810.40 790.40 780.40 760.40 780.40 790.40 770.40 770.40 77
v12400.40 670.40 680.40 720.40 790.40 790.40 790.40 810.40 790.40 780.40 760.40 780.40 790.40 770.40 770.40 77
v80.40 670.40 680.40 720.40 790.40 790.40 790.40 810.40 790.40 780.40 760.40 780.40 790.40 770.40 770.40 77
v100.40 670.40 680.40 720.40 790.40 790.40 790.40 810.40 790.40 780.40 760.40 780.40 790.40 770.40 770.40 77
v2v4820.40 670.40 680.40 720.40 790.40 790.40 790.40 810.40 790.40 780.40 760.40 780.40 790.40 770.40 770.40 77
V420.40 670.40 680.40 720.40 790.40 790.40 790.40 810.40 790.40 780.40 760.40 780.40 790.40 770.40 770.40 77
GA-MVS0.40 670.40 680.40 720.40 790.40 790.40 790.40 810.40 790.40 780.40 760.40 780.40 790.40 770.40 770.40 77
Fast-Effi-MVS+0.41 790.40 680.41 840.41 910.41 910.41 910.35 800.41 910.41 900.41 880.41 900.41 910.41 890.41 890.41 89
Fast-Effi-MVS+-dtu0.44 800.44 810.44 850.44 920.44 920.44 920.44 930.44 920.44 910.44 890.44 910.44 920.44 900.44 900.44 90
Effi-MVS+0.58 810.56 820.62 880.53 930.62 950.53 930.53 940.53 930.62 940.62 920.53 920.62 950.62 920.53 910.62 93
Effi-MVS+-dtu0.59 820.61 840.53 860.68 1000.53 930.53 930.68 1010.68 1000.53 920.53 900.68 990.53 930.68 980.53 910.53 91
KD-MVS_self_test0.60 830.60 830.60 870.60 940.60 940.60 950.60 950.60 940.60 930.60 910.60 930.60 940.60 910.60 930.60 92
EIA-MVS0.62 840.62 850.62 880.62 950.62 950.62 960.62 960.62 950.62 940.62 920.62 940.62 950.62 920.62 940.62 93
ETV-MVS0.62 840.62 850.62 880.62 950.62 950.62 960.62 960.62 950.62 940.62 920.62 940.62 950.62 920.62 940.62 93
CS-MVS0.62 840.62 850.62 880.62 950.62 950.62 960.62 960.62 950.62 940.62 920.62 940.62 950.62 920.62 940.62 93
SPE-MVS-test0.62 840.62 850.62 880.62 950.62 950.62 960.62 960.62 950.62 940.62 920.62 940.62 950.62 920.62 940.62 93
EC-MVSNet0.62 840.62 850.62 880.62 950.62 950.62 960.62 960.62 950.62 940.62 920.62 940.62 950.62 920.62 940.62 93
CDS-MVSNet0.88 890.88 900.88 940.88 1010.88 1010.88 1010.88 1020.88 1010.88 1000.88 980.88 1000.88 1010.88 990.88 990.88 99
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 890.88 900.88 940.88 1010.88 1010.88 1010.88 1020.88 1010.88 1000.88 980.88 1000.88 1010.88 990.88 990.88 99
LCM-MVSNet-Re0.89 910.89 920.89 960.89 1030.89 1030.89 1030.89 1040.89 1030.89 1020.89 1000.89 1020.89 1030.89 1010.89 1010.89 101
MDA-MVSNet-bldmvs1.20 921.20 931.20 981.20 1051.20 1061.20 1041.20 1071.20 1051.20 1041.20 1021.20 1041.20 1051.20 1031.20 1031.20 103
YYNet11.20 921.20 931.20 981.20 1051.20 1061.20 1041.20 1071.20 1051.20 1041.20 1021.20 1041.20 1051.20 1031.20 1031.20 103
MDA-MVSNet_test_wron1.20 921.20 931.20 981.20 1051.20 1061.20 1041.20 1071.20 1051.20 1041.20 1021.20 1041.20 1051.20 1031.20 1031.20 103
KD-MVS_2432*16001.30 951.30 961.30 1011.30 1081.30 1091.30 1071.30 1101.30 1081.30 1071.30 1051.30 1071.30 1081.30 1061.30 1061.30 106
miper_refine_blended1.30 951.30 961.30 1011.30 1081.30 1091.30 1071.30 1101.30 1081.30 1071.30 1051.30 1071.30 1081.30 1061.30 1061.30 106
EI-MVSNet-UG-set1.42 971.42 981.42 1031.42 1101.42 1111.42 1091.42 1121.42 1101.42 1091.42 1071.42 1091.42 1101.42 1081.42 1081.42 108
EI-MVSNet-Vis-set1.42 971.42 981.42 1031.42 1101.42 1111.42 1091.42 1121.42 1101.42 1091.42 1071.42 1091.42 1101.42 1081.42 1081.42 108
EI-MVSNet1.42 971.42 981.42 1031.42 1101.42 1111.42 1091.42 1121.42 1101.42 1091.42 1071.42 1091.42 1101.42 1081.42 1081.42 108
Regformer1.42 971.42 981.42 1031.42 1101.42 1111.42 1091.42 1121.42 1101.42 1091.42 1071.42 1091.42 1101.42 1081.42 1081.42 108
CVMVSNet1.42 971.42 981.42 1031.42 1101.42 1111.42 1091.42 1121.42 1101.42 1091.42 1071.42 1091.42 1101.42 1081.42 1081.42 108
EU-MVSNet1.42 971.42 981.42 1031.42 1101.42 1111.42 1091.42 1121.42 1101.42 1091.42 1071.42 1091.42 1101.42 1081.42 1081.42 108
PS-CasMVS1.42 971.42 981.42 1031.42 1101.42 1111.42 1091.42 1121.42 1101.42 1091.42 1071.42 1091.42 1101.42 1081.42 1081.42 108
UniMVSNet_NR-MVSNet1.42 971.42 981.42 1031.42 1101.42 1111.42 1091.42 1121.42 1101.42 1091.42 1071.42 1091.42 1101.42 1081.42 1081.42 108
PEN-MVS1.42 971.42 981.42 1031.42 1101.42 1111.42 1091.42 1121.42 1101.42 1091.42 1071.42 1091.42 1101.42 1081.42 1081.42 108
TransMVSNet (Re)1.42 971.42 981.42 1031.42 1101.42 1111.42 1091.42 1121.42 1101.42 1091.42 1071.42 1091.42 1101.42 1081.42 1081.42 108
DTE-MVSNet1.42 971.42 981.42 1031.42 1101.42 1111.42 1091.42 1121.42 1101.42 1091.42 1071.42 1091.42 1101.42 1081.42 1081.42 108
DU-MVS1.42 971.42 981.42 1031.42 1101.42 1111.42 1091.42 1121.42 1101.42 1091.42 1071.42 1091.42 1101.42 1081.42 1081.42 108
UniMVSNet (Re)1.42 971.42 981.42 1031.42 1101.42 1111.42 1091.42 1121.42 1101.42 1091.42 1071.42 1091.42 1101.42 1081.42 1081.42 108
CP-MVSNet1.42 971.42 981.42 1031.42 1101.42 1111.42 1091.42 1121.42 1101.42 1091.42 1071.42 1091.42 1101.42 1081.42 1081.42 108
WR-MVS_H1.42 971.42 981.42 1031.42 1101.42 1111.42 1091.42 1121.42 1101.42 1091.42 1071.42 1091.42 1101.42 1081.42 1081.42 108
WR-MVS1.42 971.42 981.42 1031.42 1101.42 1111.42 1091.42 1121.42 1101.42 1091.42 1071.42 1091.42 1101.42 1081.42 1081.42 108
NR-MVSNet1.42 971.42 981.42 1031.42 1101.42 1111.42 1091.42 1121.42 1101.42 1091.42 1071.42 1091.42 1101.42 1081.42 1081.42 108
Baseline_NR-MVSNet1.42 971.42 981.42 1031.42 1101.42 1111.42 1091.42 1121.42 1101.42 1091.42 1071.42 1091.42 1101.42 1081.42 1081.42 108
TranMVSNet+NR-MVSNet1.42 971.42 981.42 1031.42 1101.42 1111.42 1091.42 1121.42 1101.42 1091.42 1071.42 1091.42 1101.42 1081.42 1081.42 108
MVSFormer1.42 971.42 981.42 1031.42 1101.42 1111.42 1091.42 1121.42 1101.42 1091.42 1071.42 1091.42 1101.42 1081.42 1081.42 108
jason1.42 971.42 981.42 1031.42 1101.42 1111.42 1091.42 1121.42 1101.42 1091.42 1071.42 1091.42 1101.42 1081.42 1081.42 108
jason: jason.
lupinMVS1.42 971.42 981.42 1031.42 1101.42 1111.42 1091.42 1121.42 1101.42 1091.42 1071.42 1091.42 1101.42 1081.42 1081.42 108
test_djsdf1.42 971.42 981.42 1031.42 1101.42 1111.42 1091.42 1121.42 1101.42 1091.42 1071.42 1091.42 1101.42 1081.42 1081.42 108
reproduce_monomvs1.48 1201.48 1211.48 1261.48 1341.48 1341.48 1321.48 1371.48 1331.48 1321.48 1301.48 1321.48 1331.48 1311.48 1311.48 131
mmtdpeth1.48 1201.48 1211.48 1261.48 1341.48 1341.48 1321.48 1371.48 1331.48 1321.48 1301.48 1321.48 1331.48 1311.48 1311.48 131
reproduce_model1.48 1201.48 1211.48 1261.48 1341.48 1341.48 1321.48 1371.48 1331.48 1321.48 1301.48 1321.48 1331.48 1311.48 1311.48 131
reproduce-ours1.48 1201.48 1211.48 1261.48 1341.48 1341.48 1321.48 1371.48 1331.48 1321.48 1301.48 1321.48 1331.48 1311.48 1311.48 131
our_new_method1.48 1201.48 1211.48 1261.48 1341.48 1341.48 1321.48 1371.48 1331.48 1321.48 1301.48 1321.48 1331.48 1311.48 1311.48 131
mmdepth1.48 1201.48 1211.48 1261.48 1341.48 1341.48 1321.48 1371.48 1331.48 1321.48 1301.48 1321.48 1331.48 1311.48 1311.48 131
monomultidepth1.48 1201.48 1211.48 1261.48 1341.48 1341.48 1321.48 1371.48 1331.48 1321.48 1301.48 1321.48 1331.48 1311.48 1311.48 131
mvs5depth1.48 1201.48 1211.48 1261.48 1341.48 1341.48 1321.48 1371.48 1331.48 1321.48 1301.48 1321.48 1331.48 1311.48 1311.48 131
MVStest11.48 1201.48 1211.48 1261.48 1341.48 1341.48 1321.48 1371.48 1331.48 1321.48 1301.48 1321.48 1331.48 1311.48 1311.48 131
ttmdpeth1.48 1201.48 1211.48 1261.48 1341.48 1341.48 1321.48 1371.48 1331.48 1321.48 1301.48 1321.48 1331.48 1311.48 1311.48 131
alignmvs2.00 1302.00 1312.00 1362.00 1442.00 1442.00 1422.00 1472.00 1432.00 1422.00 1402.00 1422.00 1432.00 1412.00 1412.00 141
nrg0302.00 1302.00 1312.00 1362.00 1442.00 1442.00 1422.00 1472.00 1432.00 1422.00 1402.00 1422.00 1432.00 1412.00 1412.00 141
LFMVS2.00 1302.00 1312.00 1362.00 1442.00 1442.00 1422.00 1472.00 1432.00 1422.00 1402.00 1422.00 1432.00 1412.00 1412.00 141
VDD-MVS2.00 1302.00 1312.00 1362.00 1442.00 1442.00 1422.00 1472.00 1432.00 1422.00 1402.00 1422.00 1432.00 1412.00 1412.00 141
VDDNet2.00 1302.00 1312.00 1362.00 1442.00 1442.00 1422.00 1472.00 1432.00 1422.00 1402.00 1422.00 1432.00 1412.00 1412.00 141
VPNet2.00 1302.00 1312.00 1362.00 1442.00 1442.00 1422.00 1472.00 1432.00 1422.00 1402.00 1422.00 1432.00 1412.00 1412.00 141
VNet2.00 1302.00 1312.00 1362.00 1442.00 1442.00 1422.00 1472.00 1432.00 1422.00 1402.00 1422.00 1432.00 1412.00 1412.00 141
VPA-MVSNet2.00 1302.00 1312.00 1362.00 1442.00 1442.00 1422.00 1472.00 1432.00 1422.00 1402.00 1422.00 1432.00 1412.00 1412.00 141
cascas2.00 1302.00 1312.00 1362.00 1442.00 1442.00 1422.00 1472.00 1432.00 1422.00 1402.00 1422.00 1432.00 1412.00 1412.00 141
UnsupCasMVSNet_eth5.90 1395.90 1405.90 1455.90 1535.90 1535.90 1525.90 1595.90 1535.90 1515.90 1495.90 1535.90 1525.90 1505.90 1535.90 153
UnsupCasMVSNet_bld5.90 1395.90 1405.90 1455.90 1535.90 1535.90 1525.90 1595.90 1535.90 1515.90 1495.90 1535.90 1525.90 1505.90 1535.90 153
WTY-MVS5.90 1395.90 1405.90 1455.90 1535.90 1535.90 1525.90 1595.90 1535.90 1515.90 1495.90 1535.90 1525.90 1505.90 1535.90 153
HY-MVS5.90 15.90 1395.90 1405.90 1455.90 1535.90 1535.90 1525.90 1595.90 1535.90 1515.90 1495.90 1535.90 1525.90 1505.90 1535.90 153
sss5.90 1395.90 1405.90 1455.90 1535.90 1535.90 1525.90 1595.90 1535.90 1515.90 1495.90 1535.90 1525.90 1505.90 1535.90 153
Test_1112_low_res5.90 1395.90 1405.90 1455.90 1535.90 1535.90 1525.90 1595.90 1535.90 1515.90 1495.90 1535.90 1525.90 1505.90 1535.90 153
1112_ss5.90 1395.90 1405.90 1455.90 1535.90 1535.90 1525.90 1595.90 1535.90 1515.90 1495.90 1535.90 1525.90 1505.90 1535.90 153
ab-mvs-re5.90 1395.90 1405.90 1455.90 1535.90 1535.90 1525.90 1595.90 1535.90 1515.90 1495.90 1535.90 1525.90 1505.90 1535.90 153
ab-mvs5.90 1395.90 1405.90 1455.90 1535.90 1535.90 1525.90 1595.90 1535.90 1515.90 1495.90 1535.90 1525.90 1505.90 1535.90 153
CDPH-MVS6.66 1486.66 1496.66 1546.66 1626.66 1626.66 1616.66 1686.66 1626.66 1606.66 1586.66 1626.66 1616.66 1596.66 1626.66 162
xiu_mvs_v1_base_debu10.28 14910.28 15110.28 15610.28 16410.28 16610.28 16410.28 17110.28 16510.28 16410.28 16010.28 16610.28 16410.28 16210.28 16510.28 164
xiu_mvs_v2_base10.28 14910.28 15110.28 15610.28 16410.28 16610.28 16410.28 17110.28 16510.28 16410.28 16010.28 16610.28 16410.28 16210.28 16510.28 164
xiu_mvs_v1_base10.28 14910.28 15110.28 15610.28 16410.28 16610.28 16410.28 17110.28 16510.28 16410.28 16010.28 16610.28 16410.28 16210.28 16510.28 164
xiu_mvs_v1_base_debi10.28 14910.28 15110.28 15610.28 16410.28 16610.28 16410.28 17110.28 16510.28 16410.28 16010.28 16610.28 16410.28 16210.28 16510.28 164
cdsmvs_eth3d_5k10.28 14910.28 15110.28 15610.28 16410.28 16610.28 16410.28 17110.28 16510.28 16410.28 16010.28 16610.28 16410.28 16210.28 16510.28 164
pcd_1.5k_mvsjas10.28 14910.28 15110.28 15610.28 16410.28 16610.28 16410.28 17110.28 16510.28 16410.28 16010.28 16610.28 16410.28 16210.28 16510.28 164
PS-MVSNAJss10.28 14910.28 15110.28 15610.28 16410.28 16610.28 16410.28 17110.28 16510.28 16410.28 16010.28 16610.28 16410.28 16210.28 16510.28 164
PS-MVSNAJ10.28 14910.28 15110.28 15610.28 16410.28 16610.28 16410.28 17110.28 16510.28 16410.28 16010.28 16610.28 16410.28 16210.28 16510.28 164
jajsoiax10.28 14910.28 15110.28 15610.28 16410.28 16610.28 16410.28 17110.28 16510.28 16410.28 16010.28 16610.28 16410.28 16210.28 16510.28 164
mvs_tets10.28 14910.28 15110.28 15610.28 16410.28 16610.28 16410.28 17110.28 16510.28 16410.28 16010.28 16610.28 16410.28 16210.28 16510.28 164
SR-MVS-dyc-post11.55 15911.55 16111.55 16811.55 17511.55 17711.55 17411.55 18311.55 17511.55 17511.55 17011.55 17711.55 17411.55 17211.55 17511.55 174
XXY-MVS15.00 16015.00 16215.00 16915.00 17615.00 17915.00 17515.00 18515.00 17615.00 17715.00 17115.00 18115.00 17615.00 17415.00 17715.00 176
test_method18.29 16120.89 16310.50 16615.00 17613.00 17855.00 1813.00 15734.00 17811.50 17432.50 1725.00 15213.50 17527.00 1765.00 1525.00 152
GeoE19.41 16222.09 16411.37 16717.21 17811.30 17650.50 1804.30 15833.60 17711.70 17644.50 1777.30 16318.90 17722.60 1757.10 1633.90 150
BH-w/o40.00 16340.00 16540.00 17140.00 17940.00 18040.00 17640.00 20440.00 17940.00 17940.00 17340.00 19840.00 17940.00 17740.00 19140.00 187
BH-untuned40.00 16340.00 16540.00 17140.00 17940.00 18040.00 17640.00 20440.00 17940.00 17940.00 17340.00 19840.00 17940.00 17740.00 19140.00 187
BH-RMVSNet40.00 16340.00 16540.00 17140.00 17940.00 18040.00 17640.00 20440.00 17940.00 17940.00 17340.00 19840.00 17940.00 17740.00 19140.00 187
TR-MVS40.00 16340.00 16540.00 17140.00 17940.00 18040.00 17640.00 20440.00 17940.00 17940.00 17340.00 19840.00 17940.00 17740.00 19140.00 187
GBi-Net44.67 16749.24 16930.96 17047.53 18347.57 184126.09 1828.00 16976.99 18326.09 17873.50 17911.27 17630.55 17861.12 18112.58 17614.75 175
dp87.20 168113.80 1727.42 15510.50 1748.88 163298.82 1892.70 156510.35 2087.79 161172.93 1823.37 1519.16 16214.00 1733.71 1514.23 151
new_pmnet88.14 16998.62 17056.70 17598.14 19056.07 185246.79 18415.37 186148.06 18450.77 183143.13 18023.35 18262.65 18393.26 18268.71 20151.38 197
N_pmnet88.14 16998.62 17056.70 17598.14 19056.07 185246.79 18415.37 186148.06 18450.77 183143.13 18023.35 18262.65 18393.26 18268.71 20151.38 197
CANet110.62 171124.04 17370.34 17882.03 18774.27 190325.54 19025.25 189207.16 18669.28 188194.38 18327.53 18495.79 192147.76 18637.43 18140.97 191
CANet_DTU110.62 171124.04 17370.34 17882.03 18774.27 190325.54 19025.25 189207.16 18669.28 188194.38 18327.53 18495.79 192147.76 18637.43 18140.97 191
UGNet110.62 171124.04 17370.34 17882.03 18774.27 190325.54 19025.25 189207.16 18669.28 188194.38 18327.53 18495.79 192147.76 18637.43 18140.97 191
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_NAP118.81 174133.18 17675.70 18174.28 18573.29 188284.50 18611.35 181238.58 19065.86 186255.35 19814.55 179115.69 200222.18 20031.94 17938.12 185
FMVSNet5124.76 175140.93 17776.26 183107.44 193100.17 197329.88 19327.12 195259.44 19574.30 191204.34 18630.74 18792.41 185196.98 18938.15 18436.19 178
test1124.76 175140.93 17776.26 183107.44 193100.17 197329.88 19327.12 195259.44 19574.30 191204.34 18630.74 18792.41 185196.98 18938.15 18436.19 178
FMVSNet3124.76 175140.93 17776.26 183107.44 193100.17 197329.88 19327.12 195259.44 19574.30 191204.34 18630.74 18792.41 185196.98 18938.15 18436.19 178
FMVSNet2124.76 175140.93 17776.26 183107.44 193100.17 197329.88 19327.12 195259.44 19574.30 191204.34 18630.74 18792.41 185196.98 18938.15 18436.19 178
FMVSNet1124.76 175140.93 17776.26 183107.44 193100.17 197329.88 19327.12 195259.44 19574.30 191204.34 18630.74 18792.41 185196.98 18938.15 18436.19 178
MIMVSNet1124.76 175140.93 17776.26 183107.44 193100.17 197329.88 19327.12 195259.44 19574.30 191204.34 18630.74 18792.41 185196.98 18938.15 18436.19 178
MIMVSNet124.76 175140.93 17776.26 183107.44 193100.17 197329.88 19327.12 195259.44 19574.30 191204.34 18630.74 18792.41 185196.98 18938.15 18436.19 178
DSMNet-mixed131.33 182143.00 18496.33 19399.00 19281.00 193201.00 18345.00 209335.00 20299.00 201251.00 19738.00 197110.00 199120.00 18599.00 20798.00 203
PVSNet_Blended_VisFu136.90 183155.40 18581.40 190111.00 20096.20 194407.00 20025.90 192251.60 19285.10 198240.50 19437.00 19499.90 195199.80 19640.70 19548.10 194
PVSNet_BlendedMVS136.90 183155.40 18581.40 190111.00 20096.20 194407.00 20025.90 192251.60 19285.10 198240.50 19437.00 19499.90 195199.80 19640.70 19548.10 194
PVSNet_Blended136.90 183155.40 18581.40 190111.00 20096.20 194407.00 20025.90 192251.60 19285.10 198240.50 19437.00 19499.90 195199.80 19640.70 19548.10 194
BP-MVS1202.65 186232.15 188114.16 194183.40 204141.78 204655.87 20824.69 188372.56 203109.76 202356.89 20047.15 202139.51 202284.15 20254.86 19861.20 199
FE-MVS207.10 187234.26 189125.61 195180.34 203153.23 205635.64 20730.05 202378.38 204127.68 203377.08 20148.95 203154.43 203266.67 20163.56 19969.18 200
GDP-MVS219.79 188249.11 190131.85 196187.15 205155.97 206667.31 20930.57 203398.95 205131.26 204387.86 20258.83 205164.55 204315.00 20365.03 20075.04 201
FA-MVS(test-final)261.15 189293.29 191164.72 197236.23 208199.99 211800.05 21542.35 208475.87 207155.47 205470.67 20458.49 204205.24 206319.44 20481.03 20488.93 202
DP-MVS264.78 190296.02 192171.04 199191.70 206183.96 208827.10 21678.36 220438.24 206176.64 207435.12 20365.04 207230.52 209334.02 205117.96 21598.64 204
kuosan267.89 191301.05 193168.41 198244.05 209177.28 207667.98 21065.76 211533.41 209157.79 206492.01 205104.69 220226.72 207364.47 20779.31 203101.21 205
WB-MVS316.44 192357.41 194193.51 201257.06 210213.32 214914.45 21849.03 210600.77 215186.42 209634.00 21775.03 210251.35 211411.39 20888.55 205115.87 207
SSC-MVS320.23 193364.09 195188.66 200260.78 211193.84 209975.93 22473.11 216596.72 214185.29 208589.02 21174.47 209246.01 210427.42 21194.06 206126.12 208
UWE-MVS-28327.73 194369.67 196201.90 202281.09 217210.75 212832.98 21774.67 219680.98 222198.23 210613.42 214112.56 223259.80 212418.76 209114.35 209135.15 214
testing91347.05 195389.92 197218.43 204275.92 215241.43 216923.71 22071.70 212667.65 220217.04 214629.00 215113.33 224281.39 214495.50 214115.45 211132.47 211
testing11348.86 196393.09 198216.15 203275.24 214239.53 215915.55 21972.35 213679.89 221215.75 213633.79 216118.08 225276.62 213509.56 222117.61 214132.30 210
dongtai360.45 197401.64 199236.89 207303.10 218262.16 222963.12 22172.78 214622.82 218199.37 211708.06 220130.96 228310.90 217506.46 221108.11 208137.60 215
Syy-MVS370.76 198415.60 201236.25 206310.54 219210.76 213965.13 22298.58 235746.06 227266.26 221788.85 22791.37 214364.76 225357.17 206116.42 212133.22 212
tmp_tt371.08 199412.78 200246.00 210231.00 207197.00 2101293.00 243376.00 284756.00 229609.00 26271.00 178106.00 221195.00 205102.00 184171.00 232346.00 258
UWE-MVS387.98 200438.66 203235.93 205349.32 224257.61 2201081.50 23282.45 224637.74 219257.12 218738.54 222134.25 229308.00 215531.93 224135.11 218142.17 216
myMVS_eth3d390.90 201437.44 202251.28 212310.54 219255.86 219965.13 22298.58 235746.06 227266.26 221788.85 227154.95 236364.76 225490.19 213116.42 212133.22 212
RPSCF394.81 202445.63 204242.35 208276.55 216253.63 2181207.27 24090.69 229715.56 223241.57 217684.87 218111.96 222320.02 219548.38 226133.81 217153.39 220
WB-MVSnew404.84 203458.00 205245.36 209374.70 228320.27 2301193.74 23972.90 215773.77 230238.30 215688.22 21990.05 213308.59 216532.76 225157.54 226107.21 206
testing99408.82 204462.15 206248.86 211322.45 221269.42 2231118.93 23573.26 217719.36 225262.28 219772.10 224150.98 235327.08 220601.98 230137.99 219150.07 218
testing3418.10 205469.06 207265.23 215335.69 222290.63 2251240.88 24193.72 230717.99 224215.31 212811.97 233232.41 267358.74 223458.67 212114.88 210146.32 217
myMVS_eth3d28418.40 206473.07 208254.39 213261.18 212313.04 2261172.79 23874.16 218929.18 238264.68 220745.72 223139.03 233318.91 218549.18 227121.71 216131.21 209
testing222430.52 207487.50 211259.56 214379.87 232282.69 2241138.34 23681.30 222880.86 234281.58 224834.27 235135.83 231333.22 221514.90 223140.56 220162.76 221
EG-PatchMatch MVS437.03 208493.12 212268.77 216264.80 213260.20 2211491.80 24798.00 234723.20 226238.80 216722.40 22163.10 206382.00 229629.00 234207.00 241164.10 224
ADS-MVSNet2443.33 209482.84 209324.79 228434.94 241387.73 2391110.57 23387.69 226887.02 235282.92 225779.29 22598.57 218422.76 237502.40 215162.19 230163.87 222
ADS-MVSNet443.33 209482.84 209324.79 228434.94 241387.73 2391110.57 23387.69 226887.02 235282.92 225779.29 22598.57 218422.76 237502.40 215162.19 230163.87 222
ETVMVS443.50 211498.07 213279.78 217378.05 231321.57 2311163.68 23787.12 225897.50 237269.81 223822.83 234141.20 234334.53 222568.21 229154.21 221183.26 228
MVP-Stereo473.58 212533.67 214293.33 219376.00 229318.00 2271461.00 24596.00 231835.00 232290.00 228804.00 23097.00 216383.00 231688.00 242156.00 223179.00 226
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 212533.67 214293.33 219376.00 229318.00 2271461.00 24596.00 231835.00 232290.00 228804.00 23097.00 216383.00 231688.00 242156.00 223179.00 226
testing3-2489.51 214555.88 217290.42 218362.21 226319.27 2291424.84 24488.81 228964.80 239309.62 231879.13 237174.38 243363.98 224643.82 238155.29 222188.01 229
PatchmatchNetpermissive492.52 215551.22 216316.40 226400.20 237357.90 2371277.10 242115.80 2421034.60 248315.90 232874.00 236155.10 237402.20 234629.50 235158.80 227189.10 230
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpmvs501.65 216567.42 218304.33 222395.39 236356.32 2361512.04 248216.53 271994.15 241350.16 237804.16 232119.38 226380.98 228555.14 228159.87 228175.69 225
DELS-MVS514.57 217587.73 220295.12 221343.03 223328.09 2341540.48 249116.22 243988.59 240325.44 235906.22 238119.86 227365.72 227788.60 246161.09 229191.55 232
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 Recon516.25 218581.17 219321.48 227361.02 225429.00 2431995.36 25578.48 221796.20 231283.32 227796.02 22996.78 215382.98 230636.72 236186.66 238152.46 219
gg-mvs-nofinetune594.69 219605.37 221562.67 249617.29 257500.33 247772.30 211413.12 292579.21 210552.71 256567.40 206662.54 311531.67 241503.93 217779.80 289656.02 273
SR-MVS610.10 220610.10 222610.10 254610.10 251610.10 264610.10 205610.10 316610.10 216610.10 263610.10 212610.10 299610.10 257610.10 231610.10 272610.10 270
CR-MVSNet612.36 221617.81 224596.01 252611.29 253600.33 261790.30 212513.12 307579.21 210552.71 256567.40 206662.54 311531.67 241503.93 217779.80 289656.02 273
IterMVS615.05 222691.66 225385.23 232516.40 244454.80 2441863.80 253102.10 2391142.20 250364.10 2381093.20 252135.00 230480.40 240826.90 247181.20 235220.50 236
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 223700.96 226362.78 230426.10 240409.25 2411822.69 252124.42 2541186.23 251366.85 2391079.42 250190.60 255451.78 239930.72 251181.59 236227.30 237
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
WBMVS655.88 224770.84 229310.98 225391.79 235353.00 2352280.68 25799.17 2381776.79 271301.20 2301123.23 253187.34 253390.28 233620.39 233156.98 225189.66 231
ACMH+729.97 2661.38 225754.00 227383.51 231368.96 227376.38 2382483.74 26982.42 2231089.25 249333.39 2361219.68 25466.53 208573.60 254957.86 252184.14 237200.56 235
SSC-MVS3.2667.82 226787.71 230308.16 223385.94 233327.65 2321718.51 250117.00 2441942.46 276317.12 2331488.73 267183.89 244404.82 235763.70 244172.02 233192.01 233
UBG667.82 226787.71 230308.16 223385.94 233327.65 2321718.51 250117.00 2441942.46 276317.12 2331488.73 267183.89 244404.82 235763.70 244172.02 233192.01 233
Gipumacopyleft689.75 228767.00 228458.00 241613.00 256549.00 2591943.00 254187.00 2681230.00 252518.00 2531092.00 251203.00 261564.00 246892.00 250225.00 251261.00 245
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
IterMVS-LS758.94 229856.56 234466.10 242606.60 249546.80 2572309.90 258122.20 2531402.80 256463.50 2431348.20 256192.60 256574.60 2551028.60 262234.60 253276.90 247
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
new-patchmatchnet766.12 230859.03 235487.38 245595.68 246536.14 2492346.27 259142.51 2591488.08 258422.43 2401361.32 258163.65 240628.60 2591003.74 261207.61 242297.41 251
SixPastTwentyTwo773.62 231869.37 237486.35 244603.45 248547.15 2582532.14 270106.92 2411434.95 257428.08 2411360.56 257165.15 241628.96 260984.09 253209.01 243282.94 248
mvs_anonymous774.90 232882.28 238452.77 234636.50 258537.20 2502348.80 260120.30 2461504.30 259474.40 2441371.10 259186.90 246564.70 2471078.90 264219.30 244256.40 238
casdiffmvspermissive774.90 232882.28 238452.77 234636.50 258537.20 2502348.80 260120.30 2461504.30 259474.40 2441371.10 259186.90 246564.70 2471078.90 264219.30 244256.40 238
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 232882.28 238452.77 234636.50 258537.20 2502348.80 260120.30 2461504.30 259474.40 2441371.10 259186.90 246564.70 2471078.90 264219.30 244256.40 238
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 232882.28 238452.77 234636.50 258537.20 2502348.80 260120.30 2461504.30 259474.40 2441371.10 259186.90 246564.70 2471078.90 264219.30 244256.40 238
baseline1774.90 232882.28 238452.77 234636.50 258537.20 2502348.80 260120.30 2461504.30 259474.40 2441371.10 259186.90 246564.70 2471078.90 264219.30 244256.40 238
casdiffmvs_mvgpermissive774.90 232882.28 238452.77 234636.50 258537.20 2502348.80 260120.30 2461504.30 259474.40 2441371.10 259186.90 246564.70 2471078.90 264219.30 244256.40 238
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 232882.28 238452.77 234636.50 258537.20 2502348.80 260120.30 2461504.30 259474.40 2441371.10 259186.90 246564.70 2471078.90 264219.30 244256.40 238
RPMNet787.26 239829.13 232661.63 258885.90 273895.90 281455.98 203610.10 3161297.17 2531002.26 2851001.67 248655.98 309611.10 258667.90 239885.21 301477.90 267
JIA-IIPM804.30 240835.64 233710.26 263885.90 273895.90 281455.98 203668.73 3211297.17 2531002.26 2851001.67 248655.98 309756.98 264667.90 239885.21 301477.90 267
CSCG826.03 241963.29 246414.24 233421.52 239426.11 2422230.35 256179.52 2671827.44 272733.43 273933.12 240281.25 269545.23 2451800.35 281262.64 255271.38 246
PVSNet1207.94 6829.56 242937.18 245506.69 246645.55 265585.72 2602477.98 268130.52 2551578.29 267509.50 2521460.01 266194.90 257637.19 2611170.78 272267.07 257297.17 250
PatchT856.34 243860.99 236842.38 2681290.90 288880.90 279790.30 2121267.30 339579.21 210923.90 275567.40 206662.54 311990.23 272887.56 249779.80 289656.02 273
K. test v3877.74 244980.16 247570.46 2511316.85 290813.15 2762565.52 271103.78 2401509.49 266548.33 2551258.90 255219.93 266587.82 2561102.37 271196.30 239310.42 253
MVSTER890.06 2451005.91 254542.52 247736.13 270653.90 2682616.56 272145.22 2611692.10 270555.69 2591554.72 270266.25 268660.02 2621219.66 273266.84 256313.64 254
PMVScopyleft863.65 3957.08 2461054.11 255666.00 260401.00 238495.00 2463790.00 277279.00 2731607.00 269521.00 2541745.00 27290.00 2111105.00 283639.00 237415.00 268398.00 265
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
ACMH993.80 5967.92 2471106.11 257553.33 248494.00 243534.00 2483581.00 275136.00 2561585.00 268478.00 2511871.00 27490.00 211839.00 2661460.00 275260.00 254287.00 249
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet_01661.03 9968.54 2481066.82 256673.70 261706.94 268695.69 2692669.02 273153.52 2632108.17 279605.54 2611679.14 271213.26 265886.75 2691236.76 274229.01 252438.67 266
OurMVSNet-221017-0999.00 249999.00 248999.00 269999.00 278999.00 283999.00 225999.00 332999.00 242999.00 278999.00 241999.00 324999.00 274999.00 254999.00 308999.00 305
EPMVS999.00 249999.00 248999.00 269999.00 278999.00 283999.00 225999.00 332999.00 242999.00 278999.00 241999.00 324999.00 274999.00 254999.00 308999.00 305
uanet_test1000.00 2511000.00 2501000.00 2721000.00 2811000.00 2861000.00 2281000.00 3351000.00 2441000.00 2811000.00 2441000.00 3271000.00 2771000.00 2571000.00 3111000.00 308
sosnet1000.00 2511000.00 2501000.00 2721000.00 2811000.00 2861000.00 2281000.00 3351000.00 2441000.00 2811000.00 2441000.00 3271000.00 2771000.00 2571000.00 3111000.00 308
USDC1000.00 2511000.00 2501000.00 2721000.00 2811000.00 2861000.00 2281000.00 3351000.00 2441000.00 2811000.00 2441000.00 3271000.00 2771000.00 2571000.00 3111000.00 308
TinyColmap1000.00 2511000.00 2501000.00 2721000.00 2811000.00 2861000.00 2281000.00 3351000.00 2441000.00 2811000.00 2441000.00 3271000.00 2771000.00 2571000.00 3111000.00 308
ACMP1246.57 71086.24 2551235.17 259639.45 255596.53 247639.91 2663904.24 278152.04 2621851.54 273566.58 2601997.95 276138.50 232938.30 2701605.46 277303.70 263340.14 256
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Patchmtry1090.75 2561198.88 258766.38 2671290.90 288485.90 2452423.98 2671267.30 3391297.17 253923.90 275923.40 2391215.54 332990.23 272667.90 239779.80 289823.02 287
test_04021110.00 2571260.00 260660.00 257900.00 276780.00 2753300.00 274210.00 2702040.00 278690.00 2681950.00 275300.00 272810.00 2651620.00 278330.00 264390.00 264
MVS_111021_LR1136.45 2581298.72 261649.64 256756.17 271726.26 2723785.94 276138.15 2582190.64 280629.63 2662064.39 277165.45 242874.83 2681678.43 280279.70 258347.82 259
ACMM1311.08 81165.06 2591332.72 262662.07 259584.90 245715.99 2714373.59 282153.99 2641880.27 274709.02 2702316.97 278188.63 254939.89 2711484.30 276302.78 262330.34 255
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++1242.93 2601411.08 263738.48 265712.71 269712.68 2704168.17 280136.50 2572276.40 281613.28 2652368.60 281161.61 2391130.38 2841964.54 284297.88 260372.39 261
MG-MVS1256.50 2611432.00 264730.00 264610.00 250760.00 2734720.00 283169.00 2651920.00 275723.00 2722510.00 284201.00 2591050.00 2811645.00 279390.00 267380.00 262
ACMMPR1296.60 2621480.82 265743.96 266899.25 275763.47 2744305.47 281143.90 2602530.94 284683.99 2672346.34 280201.65 2601098.25 2821920.59 283295.21 259370.16 260
TSAR-MVS + GP.1386.84 2631622.84 267678.81 262952.13 277840.17 2785358.21 286170.75 2662650.47 285713.54 2712394.28 282209.42 264855.56 2671854.36 282302.42 261340.71 257
FPMVS1407.00 2641495.59 2661141.23 277648.01 266893.85 2804124.00 279503.81 3063219.04 287742.72 2742498.84 283157.98 2381727.83 290832.93 248732.98 288802.00 282
DeepC-MVS_fast2190.19 121535.59 2651886.82 269481.89 243847.73 272830.16 2777943.84 302189.23 2692398.83 282691.73 2692341.13 279209.16 263230.25 2081999.25 285360.46 265385.25 263
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
COLMAP_ROBcopyleft2144.59 111658.33 2661869.33 2681025.33 2761030.00 2851023.00 2905311.00 285359.00 2823044.00 286937.00 2772892.00 285332.00 2761440.00 2872312.00 287607.00 271613.00 272
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
F-COLMAP1878.17 2672113.11 2701173.33 2801231.00 2861174.00 2916297.00 288392.00 2873356.00 2891087.00 2873082.00 286361.00 2801670.00 2892523.00 289689.00 278676.00 277
OpenMVS_ROBcopyleft1936.51 101959.51 2682224.88 2721163.39 2791253.91 2871434.22 2947065.71 292272.76 2722472.29 2831647.54 3173538.72 289200.37 2581496.48 2882575.17 290997.45 307559.48 269
CMPMVSbinary2623.62 151983.08 2692156.14 2711463.89 2901414.80 2921517.00 2965239.20 284867.40 3263310.30 2881128.70 2893489.90 288366.75 2812030.20 3012427.60 2881160.60 320844.46 290
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
MVS-HIRNet2125.39 2702452.68 2731143.53 2782938.33 3331446.92 2956083.19 287391.74 2863801.71 2921202.10 2913439.72 287492.73 2901304.35 2863048.25 294676.32 277679.32 278
PLCcopyleft2858.82 162192.92 2712474.00 2741349.67 2821407.00 2911356.00 2937164.00 293475.00 2993970.00 2931237.00 2943765.00 292451.00 2871891.00 2953006.00 293791.00 294802.00 282
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
OpenMVScopyleft2352.88 132263.08 2722530.89 2751459.67 2891767.00 3031591.00 2997932.00 301399.00 2883643.00 2901176.00 2903569.00 290297.00 2711927.00 2973302.00 295693.00 283861.00 291
PCF-MVS4335.85 202272.23 2732597.03 2761297.84 2811701.20 2951332.37 2928105.11 303451.45 2954031.84 2941099.10 2883966.50 293467.45 2881734.05 2912701.68 292848.94 298827.11 288
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CHOSEN 280x4202340.81 2742643.03 2771434.14 2832025.55 3121629.36 3036542.40 289412.49 2894219.70 2961547.02 3054328.52 295650.74 3061798.26 2923333.17 296727.72 285874.79 292
CHOSEN 1792x26882340.81 2742643.03 2771434.14 2832025.55 3121629.36 3036542.40 289412.49 2894219.70 2961547.02 3054328.52 295650.74 3061798.26 2923333.17 296727.72 285874.79 292
HyFIR lowres test2340.81 2742643.03 2771434.14 2832025.55 3121629.36 3036542.40 289412.49 2894219.70 2961547.02 3054328.52 295650.74 3061798.26 2923333.17 296727.72 285874.79 292
3Dnovator2482.06 142531.17 2772839.56 2801606.00 2911732.00 2991557.00 2988375.00 305483.00 3004370.00 2991371.00 3004200.00 294350.00 2782207.00 3023877.00 302798.00 2951054.00 312
tpmrst2557.50 2782847.12 2811688.66 2941784.08 3041778.25 3137445.50 299342.14 2794471.54 3001534.55 3044382.10 298530.10 2942361.21 3054142.81 306991.22 306926.51 297
AdaColmapbinary2570.77 2792948.61 2821437.24 2861873.64 3051526.60 2977819.77 300373.97 2834970.45 3031479.29 3024648.46 300525.80 2931904.97 2964150.42 307695.69 284880.14 295
SD-MVS2654.53 2803055.56 2851451.45 2871725.60 2961598.35 3009203.30 309315.86 2765016.02 3051363.85 2974894.28 303387.23 2822023.43 2983973.88 303620.04 274732.56 279
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-MVS3452.42 182670.71 2813021.57 2831618.12 2922377.67 3191751.39 3128915.70 308567.44 3144569.74 3011236.84 2934615.63 299513.23 2912291.32 3033515.48 299882.39 300811.66 284
LF4IMVS2699.50 2823049.67 2841649.00 2931755.00 3001689.00 3078330.00 304464.00 2974997.00 3041528.00 3034763.00 302568.00 2972296.00 3044215.00 308827.00 297962.00 302
EGC-MVSNET2819.75 2833096.89 2861988.33 3043105.00 3342241.00 3249480.00 313640.00 3204209.00 2951583.00 3104740.00 301547.00 2962797.00 3172644.00 291924.00 304927.00 298
Vis-MVSNetpermissive2877.42 2843170.00 2871999.67 3051673.00 2942042.00 3228593.00 306474.00 2986452.00 3181268.00 2955125.00 306339.00 2773004.00 3194222.00 309384.00 266953.00 301
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
SteuartSystems-ACMMP2891.50 2853284.78 2881711.67 2951954.00 3061655.00 30610117.00 322445.00 2945102.00 3081375.00 3015126.00 307351.00 2792638.00 3154402.00 310691.00 281842.00 289
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+3414.41 173146.67 2863537.00 2891975.67 3022310.00 3172005.00 32110100.00 321626.00 3195753.00 3091803.00 3205179.00 308487.00 2892622.00 3134550.00 3111025.00 3151300.00 319
DeepC-MVS3917.13 193155.06 2873601.83 2901814.72 3002515.52 3221941.53 31710432.50 323589.42 3154789.45 3021298.65 2967677.31 324578.35 2982589.53 3093611.78 301923.52 303913.10 296
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DPM-MVS3268.00 2883762.89 2911783.33 2981756.00 3011806.00 31412319.00 325307.00 2746319.00 3161557.00 3085763.00 309302.00 2732609.00 3115061.00 314482.00 269935.00 299
OPM-MVS3268.00 2883762.89 2911783.33 2981756.00 3011806.00 31412319.00 325307.00 2746319.00 3161557.00 3085763.00 309302.00 2732609.00 3115061.00 314482.00 269935.00 299
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
TAPA-MVS6309.84 213374.90 2903806.99 2932078.63 3072535.47 3232499.25 3328816.16 307456.05 2966255.60 3151664.52 3186704.88 314629.95 3042768.38 3166343.93 328856.35 299968.25 303
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.3528.01 2914065.89 2981914.35 3012349.10 3182141.30 32312362.70 327417.60 2936717.80 3221759.40 3196497.50 312518.18 2922629.38 3145164.32 316806.40 296972.38 304
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
tpm23617.85 2924007.23 2942449.73 3122012.71 3081698.05 3087351.19 295869.29 3276132.06 3111588.28 3118007.42 3271281.09 3333888.11 3317472.04 3321351.00 3221763.02 328
tpm cat13617.85 2924007.23 2942449.73 3122012.71 3081698.05 3087351.19 295869.29 3276132.06 3111588.28 3118007.42 3271281.09 3333888.11 3317472.04 3321351.00 3221763.02 328
CostFormer3617.85 2924007.23 2942449.73 3122012.71 3081698.05 3087351.19 295869.29 3276132.06 3111588.28 3118007.42 3271281.09 3333888.11 3317472.04 3321351.00 3221763.02 328
tpm3617.85 2924007.23 2942449.73 3122012.71 3081698.05 3087351.19 295869.29 3276132.06 3111588.28 3118007.42 3271281.09 3333888.11 3317472.04 3321351.00 3221763.02 328
MVS_111021_HR3742.80 2964330.34 2991980.20 3032484.31 3212259.52 32514973.80 332515.90 3136500.13 3191949.21 3226146.89 311535.66 2952593.66 3104880.76 313986.37 3051087.43 313
MAR-MVS3973.16 2974387.92 3002728.86 3183345.27 3353341.39 33911403.90 324798.76 3246555.62 3212569.29 3326514.86 313834.97 3183237.43 3285891.08 3191577.54 3271607.76 320
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 2984731.32 3031730.42 2962191.51 3151949.98 31816473.90 334355.33 2807172.90 3271622.98 3157879.79 325434.33 2852428.11 3075762.12 317689.04 279813.18 285
DVP-MVScopyleft3981.10 2984731.32 3031730.42 2962191.51 3151949.98 31816473.90 334355.33 2807172.90 3271622.98 3157879.79 325434.33 2852428.11 3075762.12 317689.04 279813.18 285
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-MVS4000.00 3004533.33 3012400.00 3112400.00 3202400.00 3267200.00 2942400.00 3437200.00 3292400.00 3317200.00 3192400.00 3372400.00 3067200.00 3302400.00 3342400.00 333
SED-MVS4062.74 3014671.13 3022237.56 3082643.17 3242465.14 32713996.40 329493.26 3017619.38 3302107.24 3237416.93 321610.24 3013088.29 3246075.14 3241078.39 3161159.26 314
MSP-MVS4296.20 3024911.12 3062451.45 3162725.60 3292598.35 33316203.30 333515.86 3097016.02 3232363.85 3276894.28 315887.23 3193023.43 3205973.88 3201620.04 3281732.56 324
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-MVS4380.83 3034906.56 3052803.67 3193844.00 3363116.00 33813454.00 328901.00 3316511.00 3202794.00 3337365.00 320754.00 3153634.00 3296622.00 3291914.00 3331661.00 323
OMC-MVS5022.26 3045748.82 3072842.58 3204905.27 3383101.27 33714933.60 331812.24 3259278.40 3342959.29 3348800.17 3311092.24 3313806.30 3307568.54 3361389.60 3261620.18 322
CLD-MVS7338.25 3058341.00 3084330.00 3214902.00 3374991.00 34023318.00 341728.00 32314437.00 3444378.00 33613379.00 339824.00 3175708.00 33511429.00 3451674.00 3322291.00 332
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D7684.71 3068776.23 3094410.16 3225298.55 3395631.53 34134329.90 3431504.57 34111554.00 3433896.41 33515111.00 340812.19 3165985.63 3363516.20 3002963.23 3351613.31 321
ZNCC-MVS9999.00 3079999.00 3109999.00 3249999.00 3429999.00 3449999.00 3149999.00 3479999.00 3359999.00 3399999.00 3329999.00 3409999.00 3379999.00 3379999.00 3389999.00 336
patch_mono-210000.00 30810000.00 31110000.00 32510000.00 34310000.00 34510000.00 31510000.00 34810000.00 33610000.00 34010000.00 33310000.00 34110000.00 33810000.00 33810000.00 33910000.00 337
dcpmvs_210000.00 30810000.00 31110000.00 32510000.00 34310000.00 34510000.00 31510000.00 34810000.00 33610000.00 34010000.00 33310000.00 34110000.00 33810000.00 33810000.00 33910000.00 337
DCPMVS10000.00 30810000.00 31110000.00 32510000.00 34310000.00 34510000.00 31510000.00 34810000.00 33610000.00 34010000.00 33310000.00 34110000.00 33810000.00 33810000.00 33910000.00 337
UA-Net10000.00 30810000.00 31110000.00 32510000.00 34310000.00 34510000.00 31510000.00 34810000.00 33610000.00 34010000.00 33310000.00 34110000.00 33810000.00 33810000.00 33910000.00 337
uncertanet10000.00 30810000.00 31110000.00 32510000.00 34310000.00 34510000.00 31510000.00 34810000.00 33610000.00 34010000.00 33310000.00 34110000.00 33810000.00 33810000.00 33910000.00 337
uanet10000.00 30810000.00 31110000.00 32510000.00 34310000.00 34510000.00 31510000.00 34810000.00 33610000.00 34010000.00 33310000.00 34110000.00 33810000.00 33810000.00 33910000.00 337
MVEpermissive10021.00 2210550.67 31410002.44 31712195.33 3316242.00 3408768.00 34330896.00 3424451.00 34410331.00 3426247.00 33718296.00 341283.00 27021484.00 3457364.00 3315912.00 3376334.00 335
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 31511772.44 3187637.33 3239120.00 3418206.00 34222252.00 3402010.00 34224984.00 3457458.00 33822596.00 3422940.00 33810260.00 34411100.00 3443492.00 3364446.00 334
LTVRE_ROB20565.47 2323378.08 31622805.00 31925097.33 33215500.00 34919201.00 35142712.00 3446055.00 34538388.00 34616926.00 34638534.00 3437071.00 33935653.00 34629475.00 34610584.00 34520438.00 344
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 31734443.44 32027094.33 33329249.00 35025246.00 35251144.00 3456705.00 34642886.00 34722888.00 34748534.00 34413263.00 34737507.00 34779298.00 34716024.00 34618530.00 343
114514_t99999.00 31899999.00 32199999.00 33499999.00 35199999.00 35399999.00 34699999.00 35499999.00 34899999.00 34899999.00 34599999.00 34899999.00 34899999.00 34899999.00 34799999.00 345
PHI-MVS99999.00 31899999.00 32199999.00 33499999.00 35199999.00 35399999.00 34699999.00 35499999.00 34899999.00 34899999.00 34599999.00 34899999.00 34899999.00 34899999.00 34799999.00 345
MP-MVS-pluss833433.63 3201111219.60 32675.70 18174.28 18573.29 188284.50 18611.35 181238.58 19065.86 186255.35 19814.55 179115.69 20010000000.00 35331.94 17938.12 185
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
MTAPA833442.10 3211111233.77 32767.09 17765.59 18464.81 187284.50 18610000000.00 359219.97 18959.62 185229.89 19312.72 178103.00 198203.67 19927.93 17833.46 177
XVG-OURS-SEG-HR999999.00 322999999.00 323999999.00 336999999.00 353999999.00 355999999.00 348999999.00 356999999.00 350999999.00 350999999.00 347999999.00 350999999.00 350999999.00 350999999.00 349999999.00 347
XVG-OURS999999.00 322999999.00 323999999.00 336999999.00 353999999.00 355999999.00 348999999.00 356999999.00 350999999.00 350999999.00 347999999.00 350999999.00 350999999.00 350999999.00 349999999.00 347
XVG-ACMP-BASELINE999999.00 322999999.00 323999999.00 336999999.00 353999999.00 355999999.00 348999999.00 356999999.00 350999999.00 350999999.00 347999999.00 350999999.00 350999999.00 350999999.00 349999999.00 347
MED-MVS9168445.40 3258891260.53 32810000000.00 33910000000.00 35610000000.00 35821344.80 33610000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
TestfortrainingZip a9168445.40 3258891260.53 32810000000.00 33910000000.00 35610000000.00 35821344.80 33610000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
mamba_040810000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
icg_test_0407_210000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
SSM_0407210000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
SSM_040710000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
IMVS_040710000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
IMVS_040410000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
SSM_040410000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
IMVS_040310000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
SD_040310000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
ME-MVS10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
NormalMVS10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
lecture10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
SymmetryMVS10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
Elysia10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
StellarMVS10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
KinetiMVS10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
LuminaMVS10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
VortexMVS10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
AstraMVS10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
guyue10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
sc_t110000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
tt0320-xc10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
tt032010000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
MVSMamba_PlusPlus10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
MGCFI-Net10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
sasdasda10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
dmvs_re10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
SDMVSNet10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
dmvs_testset10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
sd_testset10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
balanced_conf0310000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
MonoMVSNet10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
test250610000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
test111110000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
ECVR-MVScopyleft10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
test_blank10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
tt080510000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
Anonymous2024052110000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
cl2210000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
miper_ehance_all_eth10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
miper_enhance_ethall10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
cl____10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
DIV-MVS_self_test10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
eth_miper_zixun_eth10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
ET-MVSNet_ETH3D10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
UniMVSNet_ETH3D10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
miper_lstm_enhance10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
D2MVS10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
test_yl10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
thisisatest053010000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
Anonymous2024052910000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
Anonymous20240521110000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
DCV-MVSNet10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
tttt051710000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
our_test_310000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
thisisatest051510000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
ppachtmachnet_test10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
SMA-MVScopyleft10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
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 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
tfpnnormal10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
tfpn200view910000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
c3_l10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
IterMVS-SCA-FT10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
pmmvs610000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
pmmvs510000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
Anonymous2023121110000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
pmmvs-eth3d10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
Anonymous2023120610000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
SCA10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
Patchmatch-test10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
Patchmatch-RL test10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
canonicalmvs10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
anonymousdsp10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
FIs10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
FC-MVSNet-test10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
sosnet-low-res10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
AllTest10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
RRT-MVS10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
mamv410000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
HPM-MVS++copyleft10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
XVS10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
pm-mvs110000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
X-MVStestdata10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
APDe-MVScopyleft10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
pmmvs410000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
test-LLR10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
TESTMET0.1,110000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
test-mter10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
testgi10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
test20.0310000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
thres600view710000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
MP-MVScopyleft10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
thres40010000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
test12310000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
thres20010000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
test0.0.03 110000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
pmmvs310000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
EMVS10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
E-PMN10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
PGM-MVS10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
MCST-MVS10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
MVS_Test10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
PMMVS210000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
PM-MVS10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
HQP_MVS10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
mPP-MVS10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
mvsmamba10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
HPM-MVS_fast10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
HPM-MVScopyleft10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
EPNet_dtu10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
NCCC10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
CP-MVS10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
CPTT-MVS10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
HQP-MVS10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
IS-MVSNet10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
PAPM_NR10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
PAPR10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
Vis-MVSNet (Re-imp)10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
PatchMatch-RL10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
TDRefinement10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
EPP-MVSNet10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
PMMVS10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
PAPM10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
ACMMPcopyleft10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
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 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
wuyk23d10000000.00 32710000000.00 33010000000.00 33910000000.00 35610000000.00 35810000000.00 35110000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
APD-MVScopyleft1000000000.00 4591000000000.00 4621000000000.00 4761000000000.00 5011000000000.00 5011000000000.00 4881000000000.00 5011000000000.00 4941000000000.00 4951000000000.00 4921000000000.00 4961000000000.00 4951000000000.00 4941000000000.00 4931000000000.00 491
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
MED-MVS test10000000.00 33910000000.00 35610000000.00 35821344.80 33610000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35210000000.00 350
TestfortrainingZip21344.80 336
WAC-MVS248.46 217422.23 210
FOURS12643.17 3242465.14 32713996.40 329493.26 3017619.38 3302107.24 323
MSC_two_6792asdad2237.56 3082643.17 3242465.14 327493.26 3013088.29 3246075.14 3241078.39 3161159.26 314
PC_three_14527619.38 3302107.24 3237416.93 321610.24 3013088.29 3246075.14 3241078.39 3161159.26 314
No_MVS2237.56 3082643.17 3242465.14 327493.26 3013088.29 3246075.14 3241078.39 3161159.26 314
test_one_06012643.17 3242465.14 327493.26 3017619.38 3302107.24 3237416.93 321610.24 301
eth-test21.42 110
eth-test10000000.00 356
ZD-MVS1584.00 2931821.00 316378.00 2853721.00 2911231.00 2921833.00 273321.00 2751224.00 2852103.00 286692.00 282
RE-MVS-def610.10 222610.10 251610.10 264610.10 205610.10 316610.10 216610.10 263610.10 212610.10 299610.10 231610.10 272610.10 270
IU-MVS2725.60 3292598.35 333515.86 3097016.02 3232363.85 3275973.88 3201620.04 3281732.56 324
OPU-MVS2451.45 3162725.60 3292598.35 3339203.30 3096894.28 315887.23 3193023.43 3205973.88 3201620.04 3281732.56 324
test_241102_TWO515.86 3097016.02 3232363.85 3276894.28 315887.23 3193023.43 3205973.88 3201620.04 3281732.56 324
test_241102_ONE2725.60 3292598.35 333515.86 3097016.02 3232363.85 3276894.28 315887.23 3193023.43 320
9.140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
save fliter0.00 10.00 10.00 10.00 10.00 1
test_0728_THIRD5016.02 3051363.85 2974894.28 303387.23 2822023.43 2983973.88 303620.04 274732.56 279
test_0728_SECOND1451.45 2871725.60 2961598.35 3009203.30 309315.86 2762023.43 2983973.88 303620.04 274732.56 279
test07261725.60 2961598.35 3009203.30 309315.86 2765016.02 3051363.85 2974894.28 303387.23 282
GSMVS10000000.00 350
test_part210000000.00 35610000000.00 35810000000.00 353
sam_mvs110000000.00 35310000000.00 350
sam_mvs10000000.00 353
ambc999.00 269999.00 278999.00 283999.00 225999.00 332999.00 278999.00 241999.00 324999.00 274999.00 254999.00 308999.00 305
MTGPAbinary10000000.00 359
test_post110000000.00 35110000000.00 35010000000.00 35310000000.00 35310000000.00 353
test_post10000000.00 35010000000.00 35310000000.00 353
patchmatchnet-post10000000.00 35010000000.00 35310000000.00 353
GG-mvs-BLEND596.01 252611.29 253600.33 261790.30 212513.12 307552.71 256567.40 206662.54 311531.67 241503.93 217779.80 289656.02 273
MTMP10000000.00 35110000000.00 359
gm-plane-assit611.29 253600.33 261579.21 210567.40 206531.67 241503.93 217
test9_res0.00 10.00 10.00 1
TEST90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
agg_prior20.00 10.00 10.00 1
agg_prior0.00 10.00 10.00 10.00 10.00 1
TestCases10000000.00 33910000000.00 35610000000.00 35810000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
test_prior40.00 10.00 1
test_prior20.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_prior0.00 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20.00 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
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
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
testdata20.00 10.00 1
segment_acmp0.00 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
testdata10.00 10.00 1
test120.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
plane_prior710000000.00 35610000000.00 358
plane_prior610000000.00 35610000000.00 35810000000.00 353
plane_prior510000000.00 35910000000.00 35310000000.00 35310000000.00 35210000000.00 350
plane_prior410000000.00 350
plane_prior310000000.00 35810000000.00 35310000000.00 353
plane_prior210000000.00 35110000000.00 353
plane_prior110000000.00 356
plane_prior1.00 1042.00 1422.00 1432.00 141
n214.20 184
nn1.42 112
door-mid1.42 112
lessismore_v0569.20 250667.25 267644.68 26796.45 233428.86 2421514.17 269204.21 262756.58 2631061.60 263197.79 240306.34 252
LGP-MVS_train10000000.00 33910000000.00 35610000000.00 35810000000.00 35910000000.00 35310000000.00 35310000000.00 35010000000.00 35310000000.00 35310000000.00 35310000000.00 35210000000.00 350
test111.00 105
door99.00 237
HQP5-MVS10000000.00 358
HQP-NCC10000000.00 35610000000.00 35110000000.00 35310000000.00 353
ACMP_Plane10000000.00 35610000000.00 35110000000.00 35310000000.00 353
BP-MVS10000000.00 353
HQP4-MVS10000000.00 35310000000.00 35310000000.00 350
HQP3-MVS10000000.00 35910000000.00 352
HQP2-MVS10000000.00 353
NP-MVS10000000.00 35610000000.00 35810000000.00 350
MDTV_nov1_ep13_2view9.99 1649.99 1629.99 1639.99 1629.99 1649.99 1609.99 163
MDTV_nov1_ep139.99 1509.99 1639.99 1649.99 1629.99 1709.99 1639.99 1629.99 1599.99 1649.99 1639.99 1609.99 164
ACMMP++_ref10000000.00 352
ACMMP++10000000.00 352
Test By Simon990.00 323
ITE_SJBPF2014.00 3061998.00 3071992.00 320701.00 3225989.00 3101812.00 3213612.00 291650.00 3052852.00 3184601.00 3121195.00 3211198.00 318
DeepMVS_CXcopyleft1.00 971.00 1041.00 1041.00 1051.00 1041.00 1031.00 1011.00 1031.00 1041.00 1021.00 1021.00 102