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_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
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
MVS_03040.00 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-mvs330.30 580.30 590.30 630.30 700.30 700.30 700.30 710.30 700.30 690.30 670.30 690.30 700.30 680.30 680.30 68
hse-mvs20.30 580.30 590.30 630.30 700.30 700.30 700.30 710.30 700.30 690.30 670.30 690.30 700.30 680.30 680.30 68
CL-MVSNet_self_test0.30 580.30 590.30 630.30 700.30 700.30 700.30 710.30 700.30 690.30 670.30 690.30 700.30 680.30 680.30 68
AUN-MVS0.30 580.30 590.30 630.30 700.30 700.30 700.30 710.30 700.30 690.30 670.30 690.30 700.30 680.30 680.30 68
LCM-MVSNet0.37 620.36 630.37 670.37 740.37 740.37 740.32 750.37 740.37 730.37 710.37 730.37 740.37 720.37 720.37 72
v1441920.40 630.40 640.40 680.40 750.40 750.40 750.40 770.40 750.40 740.40 720.40 740.40 750.40 730.40 730.40 73
v19219200.40 630.40 640.40 680.40 750.40 750.40 750.40 770.40 750.40 740.40 720.40 740.40 750.40 730.40 730.40 73
v11920.40 630.40 640.40 680.40 750.40 750.40 750.40 770.40 750.40 740.40 720.40 740.40 750.40 730.40 730.40 73
v11440.40 630.40 640.40 680.40 750.40 750.40 750.40 770.40 750.40 740.40 720.40 740.40 750.40 730.40 730.40 73
v1480.40 630.40 640.40 680.40 750.40 750.40 750.40 770.40 750.40 740.40 720.40 740.40 750.40 730.40 730.40 73
v7n0.40 630.40 640.40 680.40 750.40 750.40 750.40 770.40 750.40 740.40 720.40 740.40 750.40 730.40 730.40 73
v12400.40 630.40 640.40 680.40 750.40 750.40 750.40 770.40 750.40 740.40 720.40 740.40 750.40 730.40 730.40 73
v80.40 630.40 640.40 680.40 750.40 750.40 750.40 770.40 750.40 740.40 720.40 740.40 750.40 730.40 730.40 73
v100.40 630.40 640.40 680.40 750.40 750.40 750.40 770.40 750.40 740.40 720.40 740.40 750.40 730.40 730.40 73
v2v4820.40 630.40 640.40 680.40 750.40 750.40 750.40 770.40 750.40 740.40 720.40 740.40 750.40 730.40 730.40 73
V420.40 630.40 640.40 680.40 750.40 750.40 750.40 770.40 750.40 740.40 720.40 740.40 750.40 730.40 730.40 73
GA-MVS0.40 630.40 640.40 680.40 750.40 750.40 750.40 770.40 750.40 740.40 720.40 740.40 750.40 730.40 730.40 73
Fast-Effi-MVS+0.41 750.40 640.41 800.41 870.41 870.41 870.35 760.41 870.41 860.41 840.41 860.41 870.41 850.41 850.41 85
Fast-Effi-MVS+-dtu0.44 760.44 770.44 810.44 880.44 880.44 880.44 890.44 880.44 870.44 850.44 870.44 880.44 860.44 860.44 86
Effi-MVS+0.58 770.56 780.62 840.53 890.62 910.53 890.53 900.53 890.62 900.62 880.53 880.62 910.62 880.53 870.62 89
Effi-MVS+-dtu0.59 780.61 800.53 820.68 960.53 890.53 890.68 970.68 960.53 880.53 860.68 950.53 890.68 940.53 870.53 87
KD-MVS_self_test0.60 790.60 790.60 830.60 900.60 900.60 910.60 910.60 900.60 890.60 870.60 890.60 900.60 870.60 890.60 88
EIA-MVS0.62 800.62 810.62 840.62 910.62 910.62 920.62 920.62 910.62 900.62 880.62 900.62 910.62 880.62 900.62 89
ETV-MVS0.62 800.62 810.62 840.62 910.62 910.62 920.62 920.62 910.62 900.62 880.62 900.62 910.62 880.62 900.62 89
CS-MVS0.62 800.62 810.62 840.62 910.62 910.62 920.62 920.62 910.62 900.62 880.62 900.62 910.62 880.62 900.62 89
SPE-MVS-test0.62 800.62 810.62 840.62 910.62 910.62 920.62 920.62 910.62 900.62 880.62 900.62 910.62 880.62 900.62 89
EC-MVSNet0.62 800.62 810.62 840.62 910.62 910.62 920.62 920.62 910.62 900.62 880.62 900.62 910.62 880.62 900.62 89
CDS-MVSNet0.88 850.88 860.88 900.88 970.88 970.88 970.88 980.88 970.88 960.88 940.88 960.88 970.88 950.88 950.88 95
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 850.88 860.88 900.88 970.88 970.88 970.88 980.88 970.88 960.88 940.88 960.88 970.88 950.88 950.88 95
LCM-MVSNet-Re0.89 870.89 880.89 920.89 990.89 990.89 990.89 1000.89 990.89 980.89 960.89 980.89 990.89 970.89 970.89 97
MDA-MVSNet-bldmvs1.20 881.20 891.20 941.20 1011.20 1021.20 1001.20 1031.20 1011.20 1001.20 981.20 1001.20 1011.20 991.20 991.20 99
YYNet11.20 881.20 891.20 941.20 1011.20 1021.20 1001.20 1031.20 1011.20 1001.20 981.20 1001.20 1011.20 991.20 991.20 99
MDA-MVSNet_test_wron1.20 881.20 891.20 941.20 1011.20 1021.20 1001.20 1031.20 1011.20 1001.20 981.20 1001.20 1011.20 991.20 991.20 99
KD-MVS_2432*16001.30 911.30 921.30 971.30 1041.30 1051.30 1031.30 1061.30 1041.30 1031.30 1011.30 1031.30 1041.30 1021.30 1021.30 102
miper_refine_blended1.30 911.30 921.30 971.30 1041.30 1051.30 1031.30 1061.30 1041.30 1031.30 1011.30 1031.30 1041.30 1021.30 1021.30 102
EI-MVSNet-UG-set1.42 931.42 941.42 991.42 1061.42 1071.42 1051.42 1081.42 1061.42 1051.42 1031.42 1051.42 1061.42 1041.42 1041.42 104
EI-MVSNet-Vis-set1.42 931.42 941.42 991.42 1061.42 1071.42 1051.42 1081.42 1061.42 1051.42 1031.42 1051.42 1061.42 1041.42 1041.42 104
EI-MVSNet1.42 931.42 941.42 991.42 1061.42 1071.42 1051.42 1081.42 1061.42 1051.42 1031.42 1051.42 1061.42 1041.42 1041.42 104
Regformer1.42 931.42 941.42 991.42 1061.42 1071.42 1051.42 1081.42 1061.42 1051.42 1031.42 1051.42 1061.42 1041.42 1041.42 104
CVMVSNet1.42 931.42 941.42 991.42 1061.42 1071.42 1051.42 1081.42 1061.42 1051.42 1031.42 1051.42 1061.42 1041.42 1041.42 104
EU-MVSNet1.42 931.42 941.42 991.42 1061.42 1071.42 1051.42 1081.42 1061.42 1051.42 1031.42 1051.42 1061.42 1041.42 1041.42 104
PS-CasMVS1.42 931.42 941.42 991.42 1061.42 1071.42 1051.42 1081.42 1061.42 1051.42 1031.42 1051.42 1061.42 1041.42 1041.42 104
UniMVSNet_NR-MVSNet1.42 931.42 941.42 991.42 1061.42 1071.42 1051.42 1081.42 1061.42 1051.42 1031.42 1051.42 1061.42 1041.42 1041.42 104
PEN-MVS1.42 931.42 941.42 991.42 1061.42 1071.42 1051.42 1081.42 1061.42 1051.42 1031.42 1051.42 1061.42 1041.42 1041.42 104
TransMVSNet (Re)1.42 931.42 941.42 991.42 1061.42 1071.42 1051.42 1081.42 1061.42 1051.42 1031.42 1051.42 1061.42 1041.42 1041.42 104
DTE-MVSNet1.42 931.42 941.42 991.42 1061.42 1071.42 1051.42 1081.42 1061.42 1051.42 1031.42 1051.42 1061.42 1041.42 1041.42 104
DU-MVS1.42 931.42 941.42 991.42 1061.42 1071.42 1051.42 1081.42 1061.42 1051.42 1031.42 1051.42 1061.42 1041.42 1041.42 104
UniMVSNet (Re)1.42 931.42 941.42 991.42 1061.42 1071.42 1051.42 1081.42 1061.42 1051.42 1031.42 1051.42 1061.42 1041.42 1041.42 104
CP-MVSNet1.42 931.42 941.42 991.42 1061.42 1071.42 1051.42 1081.42 1061.42 1051.42 1031.42 1051.42 1061.42 1041.42 1041.42 104
WR-MVS_H1.42 931.42 941.42 991.42 1061.42 1071.42 1051.42 1081.42 1061.42 1051.42 1031.42 1051.42 1061.42 1041.42 1041.42 104
WR-MVS1.42 931.42 941.42 991.42 1061.42 1071.42 1051.42 1081.42 1061.42 1051.42 1031.42 1051.42 1061.42 1041.42 1041.42 104
NR-MVSNet1.42 931.42 941.42 991.42 1061.42 1071.42 1051.42 1081.42 1061.42 1051.42 1031.42 1051.42 1061.42 1041.42 1041.42 104
Baseline_NR-MVSNet1.42 931.42 941.42 991.42 1061.42 1071.42 1051.42 1081.42 1061.42 1051.42 1031.42 1051.42 1061.42 1041.42 1041.42 104
TranMVSNet+NR-MVSNet1.42 931.42 941.42 991.42 1061.42 1071.42 1051.42 1081.42 1061.42 1051.42 1031.42 1051.42 1061.42 1041.42 1041.42 104
MVSFormer1.42 931.42 941.42 991.42 1061.42 1071.42 1051.42 1081.42 1061.42 1051.42 1031.42 1051.42 1061.42 1041.42 1041.42 104
jason1.42 931.42 941.42 991.42 1061.42 1071.42 1051.42 1081.42 1061.42 1051.42 1031.42 1051.42 1061.42 1041.42 1041.42 104
jason: jason.
lupinMVS1.42 931.42 941.42 991.42 1061.42 1071.42 1051.42 1081.42 1061.42 1051.42 1031.42 1051.42 1061.42 1041.42 1041.42 104
test_djsdf1.42 931.42 941.42 991.42 1061.42 1071.42 1051.42 1081.42 1061.42 1051.42 1031.42 1051.42 1061.42 1041.42 1041.42 104
reproduce_monomvs1.48 1161.48 1171.48 1221.48 1301.48 1301.48 1281.48 1331.48 1291.48 1281.48 1261.48 1281.48 1291.48 1271.48 1271.48 127
mmtdpeth1.48 1161.48 1171.48 1221.48 1301.48 1301.48 1281.48 1331.48 1291.48 1281.48 1261.48 1281.48 1291.48 1271.48 1271.48 127
reproduce_model1.48 1161.48 1171.48 1221.48 1301.48 1301.48 1281.48 1331.48 1291.48 1281.48 1261.48 1281.48 1291.48 1271.48 1271.48 127
reproduce-ours1.48 1161.48 1171.48 1221.48 1301.48 1301.48 1281.48 1331.48 1291.48 1281.48 1261.48 1281.48 1291.48 1271.48 1271.48 127
our_new_method1.48 1161.48 1171.48 1221.48 1301.48 1301.48 1281.48 1331.48 1291.48 1281.48 1261.48 1281.48 1291.48 1271.48 1271.48 127
mmdepth1.48 1161.48 1171.48 1221.48 1301.48 1301.48 1281.48 1331.48 1291.48 1281.48 1261.48 1281.48 1291.48 1271.48 1271.48 127
monomultidepth1.48 1161.48 1171.48 1221.48 1301.48 1301.48 1281.48 1331.48 1291.48 1281.48 1261.48 1281.48 1291.48 1271.48 1271.48 127
mvs5depth1.48 1161.48 1171.48 1221.48 1301.48 1301.48 1281.48 1331.48 1291.48 1281.48 1261.48 1281.48 1291.48 1271.48 1271.48 127
MVStest11.48 1161.48 1171.48 1221.48 1301.48 1301.48 1281.48 1331.48 1291.48 1281.48 1261.48 1281.48 1291.48 1271.48 1271.48 127
ttmdpeth1.48 1161.48 1171.48 1221.48 1301.48 1301.48 1281.48 1331.48 1291.48 1281.48 1261.48 1281.48 1291.48 1271.48 1271.48 127
alignmvs2.00 1262.00 1272.00 1322.00 1402.00 1402.00 1382.00 1432.00 1392.00 1382.00 1362.00 1382.00 1392.00 1372.00 1372.00 137
nrg0302.00 1262.00 1272.00 1322.00 1402.00 1402.00 1382.00 1432.00 1392.00 1382.00 1362.00 1382.00 1392.00 1372.00 1372.00 137
LFMVS2.00 1262.00 1272.00 1322.00 1402.00 1402.00 1382.00 1432.00 1392.00 1382.00 1362.00 1382.00 1392.00 1372.00 1372.00 137
VDD-MVS2.00 1262.00 1272.00 1322.00 1402.00 1402.00 1382.00 1432.00 1392.00 1382.00 1362.00 1382.00 1392.00 1372.00 1372.00 137
VDDNet2.00 1262.00 1272.00 1322.00 1402.00 1402.00 1382.00 1432.00 1392.00 1382.00 1362.00 1382.00 1392.00 1372.00 1372.00 137
VPNet2.00 1262.00 1272.00 1322.00 1402.00 1402.00 1382.00 1432.00 1392.00 1382.00 1362.00 1382.00 1392.00 1372.00 1372.00 137
VNet2.00 1262.00 1272.00 1322.00 1402.00 1402.00 1382.00 1432.00 1392.00 1382.00 1362.00 1382.00 1392.00 1372.00 1372.00 137
VPA-MVSNet2.00 1262.00 1272.00 1322.00 1402.00 1402.00 1382.00 1432.00 1392.00 1382.00 1362.00 1382.00 1392.00 1372.00 1372.00 137
cascas2.00 1262.00 1272.00 1322.00 1402.00 1402.00 1382.00 1432.00 1392.00 1382.00 1362.00 1382.00 1392.00 1372.00 1372.00 137
UnsupCasMVSNet_eth5.90 1355.90 1365.90 1415.90 1495.90 1495.90 1485.90 1555.90 1495.90 1475.90 1455.90 1495.90 1485.90 1465.90 1495.90 149
UnsupCasMVSNet_bld5.90 1355.90 1365.90 1415.90 1495.90 1495.90 1485.90 1555.90 1495.90 1475.90 1455.90 1495.90 1485.90 1465.90 1495.90 149
WTY-MVS5.90 1355.90 1365.90 1415.90 1495.90 1495.90 1485.90 1555.90 1495.90 1475.90 1455.90 1495.90 1485.90 1465.90 1495.90 149
HY-MVS5.90 15.90 1355.90 1365.90 1415.90 1495.90 1495.90 1485.90 1555.90 1495.90 1475.90 1455.90 1495.90 1485.90 1465.90 1495.90 149
sss5.90 1355.90 1365.90 1415.90 1495.90 1495.90 1485.90 1555.90 1495.90 1475.90 1455.90 1495.90 1485.90 1465.90 1495.90 149
Test_1112_low_res5.90 1355.90 1365.90 1415.90 1495.90 1495.90 1485.90 1555.90 1495.90 1475.90 1455.90 1495.90 1485.90 1465.90 1495.90 149
1112_ss5.90 1355.90 1365.90 1415.90 1495.90 1495.90 1485.90 1555.90 1495.90 1475.90 1455.90 1495.90 1485.90 1465.90 1495.90 149
ab-mvs-re5.90 1355.90 1365.90 1415.90 1495.90 1495.90 1485.90 1555.90 1495.90 1475.90 1455.90 1495.90 1485.90 1465.90 1495.90 149
ab-mvs5.90 1355.90 1365.90 1415.90 1495.90 1495.90 1485.90 1555.90 1495.90 1475.90 1455.90 1495.90 1485.90 1465.90 1495.90 149
CDPH-MVS6.66 1446.66 1456.66 1506.66 1586.66 1586.66 1576.66 1646.66 1586.66 1566.66 1546.66 1586.66 1576.66 1556.66 1586.66 158
xiu_mvs_v1_base_debu10.28 14510.28 14710.28 15210.28 16010.28 16210.28 16010.28 16710.28 16110.28 16010.28 15610.28 16210.28 16010.28 15810.28 16110.28 160
xiu_mvs_v2_base10.28 14510.28 14710.28 15210.28 16010.28 16210.28 16010.28 16710.28 16110.28 16010.28 15610.28 16210.28 16010.28 15810.28 16110.28 160
xiu_mvs_v1_base10.28 14510.28 14710.28 15210.28 16010.28 16210.28 16010.28 16710.28 16110.28 16010.28 15610.28 16210.28 16010.28 15810.28 16110.28 160
xiu_mvs_v1_base_debi10.28 14510.28 14710.28 15210.28 16010.28 16210.28 16010.28 16710.28 16110.28 16010.28 15610.28 16210.28 16010.28 15810.28 16110.28 160
cdsmvs_eth3d_5k10.28 14510.28 14710.28 15210.28 16010.28 16210.28 16010.28 16710.28 16110.28 16010.28 15610.28 16210.28 16010.28 15810.28 16110.28 160
pcd_1.5k_mvsjas10.28 14510.28 14710.28 15210.28 16010.28 16210.28 16010.28 16710.28 16110.28 16010.28 15610.28 16210.28 16010.28 15810.28 16110.28 160
PS-MVSNAJss10.28 14510.28 14710.28 15210.28 16010.28 16210.28 16010.28 16710.28 16110.28 16010.28 15610.28 16210.28 16010.28 15810.28 16110.28 160
PS-MVSNAJ10.28 14510.28 14710.28 15210.28 16010.28 16210.28 16010.28 16710.28 16110.28 16010.28 15610.28 16210.28 16010.28 15810.28 16110.28 160
jajsoiax10.28 14510.28 14710.28 15210.28 16010.28 16210.28 16010.28 16710.28 16110.28 16010.28 15610.28 16210.28 16010.28 15810.28 16110.28 160
mvs_tets10.28 14510.28 14710.28 15210.28 16010.28 16210.28 16010.28 16710.28 16110.28 16010.28 15610.28 16210.28 16010.28 15810.28 16110.28 160
SR-MVS-dyc-post11.55 15511.55 15711.55 16411.55 17111.55 17311.55 17011.55 17911.55 17111.55 17111.55 16611.55 17311.55 17011.55 16811.55 17111.55 170
XXY-MVS15.00 15615.00 15815.00 16515.00 17215.00 17515.00 17115.00 18115.00 17215.00 17315.00 16715.00 17715.00 17215.00 17015.00 17315.00 172
test_method18.29 15720.89 15910.50 16215.00 17213.00 17455.00 1773.00 15334.00 17411.50 17032.50 1685.00 14813.50 17127.00 1725.00 1485.00 148
GeoE19.41 15822.09 16011.37 16317.21 17411.30 17250.50 1764.30 15433.60 17311.70 17244.50 1737.30 15918.90 17322.60 1717.10 1593.90 146
BH-w/o40.00 15940.00 16140.00 16740.00 17540.00 17640.00 17240.00 20040.00 17540.00 17540.00 16940.00 19440.00 17540.00 17340.00 18740.00 183
BH-untuned40.00 15940.00 16140.00 16740.00 17540.00 17640.00 17240.00 20040.00 17540.00 17540.00 16940.00 19440.00 17540.00 17340.00 18740.00 183
BH-RMVSNet40.00 15940.00 16140.00 16740.00 17540.00 17640.00 17240.00 20040.00 17540.00 17540.00 16940.00 19440.00 17540.00 17340.00 18740.00 183
TR-MVS40.00 15940.00 16140.00 16740.00 17540.00 17640.00 17240.00 20040.00 17540.00 17540.00 16940.00 19440.00 17540.00 17340.00 18740.00 183
GBi-Net44.67 16349.24 16530.96 16647.53 17947.57 180126.09 1788.00 16576.99 17926.09 17473.50 17511.27 17230.55 17461.12 17712.58 17214.75 171
dp87.20 164113.80 1687.42 15110.50 1708.88 159298.82 1852.70 152510.35 2047.79 157172.93 1783.37 1479.16 15814.00 1693.71 1474.23 147
new_pmnet88.14 16598.62 16656.70 17198.14 18656.07 181246.79 18015.37 182148.06 18050.77 179143.13 17623.35 17862.65 17993.26 17868.71 19751.38 193
N_pmnet88.14 16598.62 16656.70 17198.14 18656.07 181246.79 18015.37 182148.06 18050.77 179143.13 17623.35 17862.65 17993.26 17868.71 19751.38 193
CANet110.62 167124.04 16970.34 17482.03 18374.27 186325.54 18625.25 185207.16 18269.28 184194.38 17927.53 18095.79 188147.76 18237.43 17740.97 187
CANet_DTU110.62 167124.04 16970.34 17482.03 18374.27 186325.54 18625.25 185207.16 18269.28 184194.38 17927.53 18095.79 188147.76 18237.43 17740.97 187
UGNet110.62 167124.04 16970.34 17482.03 18374.27 186325.54 18625.25 185207.16 18269.28 184194.38 17927.53 18095.79 188147.76 18237.43 17740.97 187
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 170133.18 17275.70 17774.28 18173.29 184284.50 18211.35 177238.58 18665.86 182255.35 19414.55 175115.69 196222.18 19631.94 17538.12 181
FMVSNet5124.76 171140.93 17376.26 179107.44 189100.17 193329.88 18927.12 191259.44 19174.30 187204.34 18230.74 18392.41 181196.98 18538.15 18036.19 174
test1124.76 171140.93 17376.26 179107.44 189100.17 193329.88 18927.12 191259.44 19174.30 187204.34 18230.74 18392.41 181196.98 18538.15 18036.19 174
FMVSNet3124.76 171140.93 17376.26 179107.44 189100.17 193329.88 18927.12 191259.44 19174.30 187204.34 18230.74 18392.41 181196.98 18538.15 18036.19 174
FMVSNet2124.76 171140.93 17376.26 179107.44 189100.17 193329.88 18927.12 191259.44 19174.30 187204.34 18230.74 18392.41 181196.98 18538.15 18036.19 174
FMVSNet1124.76 171140.93 17376.26 179107.44 189100.17 193329.88 18927.12 191259.44 19174.30 187204.34 18230.74 18392.41 181196.98 18538.15 18036.19 174
MIMVSNet1124.76 171140.93 17376.26 179107.44 189100.17 193329.88 18927.12 191259.44 19174.30 187204.34 18230.74 18392.41 181196.98 18538.15 18036.19 174
MIMVSNet124.76 171140.93 17376.26 179107.44 189100.17 193329.88 18927.12 191259.44 19174.30 187204.34 18230.74 18392.41 181196.98 18538.15 18036.19 174
DSMNet-mixed131.33 178143.00 18096.33 18999.00 18881.00 189201.00 17945.00 205335.00 19899.00 197251.00 19338.00 193110.00 195120.00 18199.00 20398.00 199
PVSNet_Blended_VisFu136.90 179155.40 18181.40 186111.00 19696.20 190407.00 19625.90 188251.60 18885.10 194240.50 19037.00 19099.90 191199.80 19240.70 19148.10 190
PVSNet_BlendedMVS136.90 179155.40 18181.40 186111.00 19696.20 190407.00 19625.90 188251.60 18885.10 194240.50 19037.00 19099.90 191199.80 19240.70 19148.10 190
PVSNet_Blended136.90 179155.40 18181.40 186111.00 19696.20 190407.00 19625.90 188251.60 18885.10 194240.50 19037.00 19099.90 191199.80 19240.70 19148.10 190
BP-MVS1202.65 182232.15 184114.16 190183.40 200141.78 200655.87 20424.69 184372.56 199109.76 198356.89 19647.15 198139.51 198284.15 19854.86 19461.20 195
FE-MVS207.10 183234.26 185125.61 191180.34 199153.23 201635.64 20330.05 198378.38 200127.68 199377.08 19748.95 199154.43 199266.67 19763.56 19569.18 196
GDP-MVS219.79 184249.11 186131.85 192187.15 201155.97 202667.31 20530.57 199398.95 201131.26 200387.86 19858.83 201164.55 200315.00 19965.03 19675.04 197
FA-MVS(test-final)261.15 185293.29 187164.72 193236.23 204199.99 207800.05 21142.35 204475.87 203155.47 201470.67 20058.49 200205.24 202319.44 20081.03 20088.93 198
DP-MVS264.78 186296.02 188171.04 195191.70 202183.96 204827.10 21278.36 216438.24 202176.64 203435.12 19965.04 203230.52 205334.02 201117.96 21198.64 200
kuosan267.89 187301.05 189168.41 194244.05 205177.28 203667.98 20665.76 207533.41 205157.79 202492.01 201104.69 216226.72 203364.47 20379.31 199101.21 201
WB-MVS316.44 188357.41 190193.51 197257.06 206213.32 210914.45 21449.03 206600.77 211186.42 205634.00 21375.03 206251.35 207411.39 20488.55 201115.87 203
SSC-MVS320.23 189364.09 191188.66 196260.78 207193.84 205975.93 22073.11 212596.72 210185.29 204589.02 20774.47 205246.01 206427.42 20794.06 202126.12 204
UWE-MVS-28327.73 190369.67 192201.90 198281.09 213210.75 208832.98 21374.67 215680.98 218198.23 206613.42 210112.56 219259.80 208418.76 205114.35 205135.15 210
testing91347.05 191389.92 193218.43 200275.92 211241.43 212923.71 21671.70 208667.65 216217.04 210629.00 211113.33 220281.39 210495.50 210115.45 207132.47 207
testing11348.86 192393.09 194216.15 199275.24 210239.53 211915.55 21572.35 209679.89 217215.75 209633.79 212118.08 221276.62 209509.56 218117.61 210132.30 206
dongtai360.45 193401.64 195236.89 203303.10 214262.16 218963.12 21772.78 210622.82 214199.37 207708.06 216130.96 224310.90 213506.46 217108.11 204137.60 211
Syy-MVS370.76 194415.60 197236.25 202310.54 215210.76 209965.13 21898.58 231746.06 223266.26 217788.85 22391.37 210364.76 221357.17 202116.42 208133.22 208
tmp_tt371.08 195412.78 196246.00 206231.00 203197.00 2061293.00 239376.00 280756.00 225609.00 25871.00 174106.00 217195.00 201102.00 180171.00 228346.00 254
UWE-MVS387.98 196438.66 199235.93 201349.32 220257.61 2161081.50 22882.45 220637.74 215257.12 214738.54 218134.25 225308.00 211531.93 220135.11 214142.17 212
myMVS_eth3d390.90 197437.44 198251.28 208310.54 215255.86 215965.13 21898.58 231746.06 223266.26 217788.85 223154.95 232364.76 221490.19 209116.42 208133.22 208
RPSCF394.81 198445.63 200242.35 204276.55 212253.63 2141207.27 23690.69 225715.56 219241.57 213684.87 214111.96 218320.02 215548.38 222133.81 213153.39 216
WB-MVSnew404.84 199458.00 201245.36 205374.70 224320.27 2261193.74 23572.90 211773.77 226238.30 211688.22 21590.05 209308.59 212532.76 221157.54 222107.21 202
testing99408.82 200462.15 202248.86 207322.45 217269.42 2191118.93 23173.26 213719.36 221262.28 215772.10 220150.98 231327.08 216601.98 226137.99 215150.07 214
testing3418.10 201469.06 203265.23 211335.69 218290.63 2211240.88 23793.72 226717.99 220215.31 208811.97 229232.41 263358.74 219458.67 208114.88 206146.32 213
myMVS_eth3d28418.40 202473.07 204254.39 209261.18 208313.04 2221172.79 23474.16 214929.18 234264.68 216745.72 219139.03 229318.91 214549.18 223121.71 212131.21 205
testing222430.52 203487.50 207259.56 210379.87 228282.69 2201138.34 23281.30 218880.86 230281.58 220834.27 231135.83 227333.22 217514.90 219140.56 216162.76 217
EG-PatchMatch MVS437.03 204493.12 208268.77 212264.80 209260.20 2171491.80 24398.00 230723.20 222238.80 212722.40 21763.10 202382.00 225629.00 230207.00 237164.10 220
ADS-MVSNet2443.33 205482.84 205324.79 224434.94 237387.73 2351110.57 22987.69 222887.02 231282.92 221779.29 22198.57 214422.76 233502.40 211162.19 226163.87 218
ADS-MVSNet443.33 205482.84 205324.79 224434.94 237387.73 2351110.57 22987.69 222887.02 231282.92 221779.29 22198.57 214422.76 233502.40 211162.19 226163.87 218
ETVMVS443.50 207498.07 209279.78 213378.05 227321.57 2271163.68 23387.12 221897.50 233269.81 219822.83 230141.20 230334.53 218568.21 225154.21 217183.26 224
MVP-Stereo473.58 208533.67 210293.33 215376.00 225318.00 2231461.00 24196.00 227835.00 228290.00 224804.00 22697.00 212383.00 227688.00 238156.00 219179.00 222
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 208533.67 210293.33 215376.00 225318.00 2231461.00 24196.00 227835.00 228290.00 224804.00 22697.00 212383.00 227688.00 238156.00 219179.00 222
testing3-2489.51 210555.88 213290.42 214362.21 222319.27 2251424.84 24088.81 224964.80 235309.62 227879.13 233174.38 239363.98 220643.82 234155.29 218188.01 225
PatchmatchNetpermissive492.52 211551.22 212316.40 222400.20 233357.90 2331277.10 238115.80 2381034.60 244315.90 228874.00 232155.10 233402.20 230629.50 231158.80 223189.10 226
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpmvs501.65 212567.42 214304.33 218395.39 232356.32 2321512.04 244216.53 267994.15 237350.16 233804.16 228119.38 222380.98 224555.14 224159.87 224175.69 221
DELS-MVS514.57 213587.73 216295.12 217343.03 219328.09 2301540.48 245116.22 239988.59 236325.44 231906.22 234119.86 223365.72 223788.60 242161.09 225191.55 228
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 214581.17 215321.48 223361.02 221429.00 2391995.36 25178.48 217796.20 227283.32 223796.02 22596.78 211382.98 226636.72 232186.66 234152.46 215
gg-mvs-nofinetune594.69 215605.37 217562.67 245617.29 253500.33 243772.30 207413.12 288579.21 206552.71 252567.40 202662.54 307531.67 237503.93 213779.80 285656.02 269
SR-MVS610.10 216610.10 218610.10 250610.10 247610.10 260610.10 201610.10 312610.10 212610.10 259610.10 208610.10 295610.10 253610.10 227610.10 268610.10 266
CR-MVSNet612.36 217617.81 220596.01 248611.29 249600.33 257790.30 208513.12 303579.21 206552.71 252567.40 202662.54 307531.67 237503.93 213779.80 285656.02 269
IterMVS615.05 218691.66 221385.23 228516.40 240454.80 2401863.80 249102.10 2351142.20 246364.10 2341093.20 248135.00 226480.40 236826.90 243181.20 231220.50 232
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 219700.96 222362.78 226426.10 236409.25 2371822.69 248124.42 2501186.23 247366.85 2351079.42 246190.60 251451.78 235930.72 247181.59 232227.30 233
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 220770.84 225310.98 221391.79 231353.00 2312280.68 25399.17 2341776.79 267301.20 2261123.23 249187.34 249390.28 229620.39 229156.98 221189.66 227
ACMH+729.97 2661.38 221754.00 223383.51 227368.96 223376.38 2342483.74 26582.42 2191089.25 245333.39 2321219.68 25066.53 204573.60 250957.86 248184.14 233200.56 231
SSC-MVS3.2667.82 222787.71 226308.16 219385.94 229327.65 2281718.51 246117.00 2401942.46 272317.12 2291488.73 263183.89 240404.82 231763.70 240172.02 229192.01 229
UBG667.82 222787.71 226308.16 219385.94 229327.65 2281718.51 246117.00 2401942.46 272317.12 2291488.73 263183.89 240404.82 231763.70 240172.02 229192.01 229
Gipumacopyleft689.75 224767.00 224458.00 237613.00 252549.00 2551943.00 250187.00 2641230.00 248518.00 2491092.00 247203.00 257564.00 242892.00 246225.00 247261.00 241
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
IterMVS-LS758.94 225856.56 230466.10 238606.60 245546.80 2532309.90 254122.20 2491402.80 252463.50 2391348.20 252192.60 252574.60 2511028.60 258234.60 249276.90 243
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
new-patchmatchnet766.12 226859.03 231487.38 241595.68 242536.14 2452346.27 255142.51 2551488.08 254422.43 2361361.32 254163.65 236628.60 2551003.74 257207.61 238297.41 247
SixPastTwentyTwo773.62 227869.37 233486.35 240603.45 244547.15 2542532.14 266106.92 2371434.95 253428.08 2371360.56 253165.15 237628.96 256984.09 249209.01 239282.94 244
mvs_anonymous774.90 228882.28 234452.77 230636.50 254537.20 2462348.80 256120.30 2421504.30 255474.40 2401371.10 255186.90 242564.70 2431078.90 260219.30 240256.40 234
casdiffmvspermissive774.90 228882.28 234452.77 230636.50 254537.20 2462348.80 256120.30 2421504.30 255474.40 2401371.10 255186.90 242564.70 2431078.90 260219.30 240256.40 234
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 228882.28 234452.77 230636.50 254537.20 2462348.80 256120.30 2421504.30 255474.40 2401371.10 255186.90 242564.70 2431078.90 260219.30 240256.40 234
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 228882.28 234452.77 230636.50 254537.20 2462348.80 256120.30 2421504.30 255474.40 2401371.10 255186.90 242564.70 2431078.90 260219.30 240256.40 234
baseline1774.90 228882.28 234452.77 230636.50 254537.20 2462348.80 256120.30 2421504.30 255474.40 2401371.10 255186.90 242564.70 2431078.90 260219.30 240256.40 234
casdiffmvs_mvgpermissive774.90 228882.28 234452.77 230636.50 254537.20 2462348.80 256120.30 2421504.30 255474.40 2401371.10 255186.90 242564.70 2431078.90 260219.30 240256.40 234
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 228882.28 234452.77 230636.50 254537.20 2462348.80 256120.30 2421504.30 255474.40 2401371.10 255186.90 242564.70 2431078.90 260219.30 240256.40 234
RPMNet787.26 235829.13 228661.63 254885.90 269895.90 277455.98 199610.10 3121297.17 2491002.26 2811001.67 244655.98 305611.10 254667.90 235885.21 297477.90 263
JIA-IIPM804.30 236835.64 229710.26 259885.90 269895.90 277455.98 199668.73 3171297.17 2491002.26 2811001.67 244655.98 305756.98 260667.90 235885.21 297477.90 263
CSCG826.03 237963.29 242414.24 229421.52 235426.11 2382230.35 252179.52 2631827.44 268733.43 269933.12 236281.25 265545.23 2411800.35 277262.64 251271.38 242
PVSNet1207.94 6829.56 238937.18 241506.69 242645.55 261585.72 2562477.98 264130.52 2511578.29 263509.50 2481460.01 262194.90 253637.19 2571170.78 268267.07 253297.17 246
PatchT856.34 239860.99 232842.38 2641290.90 284880.90 275790.30 2081267.30 335579.21 206923.90 271567.40 202662.54 307990.23 268887.56 245779.80 285656.02 269
K. test v3877.74 240980.16 243570.46 2471316.85 286813.15 2722565.52 267103.78 2361509.49 262548.33 2511258.90 251219.93 262587.82 2521102.37 267196.30 235310.42 249
MVSTER890.06 2411005.91 250542.52 243736.13 266653.90 2642616.56 268145.22 2571692.10 266555.69 2551554.72 266266.25 264660.02 2581219.66 269266.84 252313.64 250
PMVScopyleft863.65 3957.08 2421054.11 251666.00 256401.00 234495.00 2423790.00 273279.00 2691607.00 265521.00 2501745.00 26890.00 2071105.00 279639.00 233415.00 264398.00 261
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
ACMH993.80 5967.92 2431106.11 253553.33 244494.00 239534.00 2443581.00 271136.00 2521585.00 264478.00 2471871.00 27090.00 207839.00 2621460.00 271260.00 250287.00 245
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet_01661.03 9968.54 2441066.82 252673.70 257706.94 264695.69 2652669.02 269153.52 2592108.17 275605.54 2571679.14 267213.26 261886.75 2651236.76 270229.01 248438.67 262
OurMVSNet-221017-0999.00 245999.00 244999.00 265999.00 274999.00 279999.00 221999.00 328999.00 238999.00 274999.00 237999.00 320999.00 270999.00 250999.00 304999.00 301
EPMVS999.00 245999.00 244999.00 265999.00 274999.00 279999.00 221999.00 328999.00 238999.00 274999.00 237999.00 320999.00 270999.00 250999.00 304999.00 301
uanet_test1000.00 2471000.00 2461000.00 2681000.00 2771000.00 2821000.00 2241000.00 3311000.00 2401000.00 2771000.00 2401000.00 3231000.00 2731000.00 2531000.00 3071000.00 304
sosnet1000.00 2471000.00 2461000.00 2681000.00 2771000.00 2821000.00 2241000.00 3311000.00 2401000.00 2771000.00 2401000.00 3231000.00 2731000.00 2531000.00 3071000.00 304
USDC1000.00 2471000.00 2461000.00 2681000.00 2771000.00 2821000.00 2241000.00 3311000.00 2401000.00 2771000.00 2401000.00 3231000.00 2731000.00 2531000.00 3071000.00 304
TinyColmap1000.00 2471000.00 2461000.00 2681000.00 2771000.00 2821000.00 2241000.00 3311000.00 2401000.00 2771000.00 2401000.00 3231000.00 2731000.00 2531000.00 3071000.00 304
ACMP1246.57 71086.24 2511235.17 255639.45 251596.53 243639.91 2623904.24 274152.04 2581851.54 269566.58 2561997.95 272138.50 228938.30 2661605.46 273303.70 259340.14 252
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Patchmtry1090.75 2521198.88 254766.38 2631290.90 284485.90 2412423.98 2631267.30 3351297.17 249923.90 271923.40 2351215.54 328990.23 268667.90 235779.80 285823.02 283
test_04021110.00 2531260.00 256660.00 253900.00 272780.00 2713300.00 270210.00 2662040.00 274690.00 2641950.00 271300.00 268810.00 2611620.00 274330.00 260390.00 260
MVS_111021_LR1136.45 2541298.72 257649.64 252756.17 267726.26 2683785.94 272138.15 2542190.64 276629.63 2622064.39 273165.45 238874.83 2641678.43 276279.70 254347.82 255
ACMM1311.08 81165.06 2551332.72 258662.07 255584.90 241715.99 2674373.59 278153.99 2601880.27 270709.02 2662316.97 274188.63 250939.89 2671484.30 272302.78 258330.34 251
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++1242.93 2561411.08 259738.48 261712.71 265712.68 2664168.17 276136.50 2532276.40 277613.28 2612368.60 277161.61 2351130.38 2801964.54 280297.88 256372.39 257
MG-MVS1256.50 2571432.00 260730.00 260610.00 246760.00 2694720.00 279169.00 2611920.00 271723.00 2682510.00 280201.00 2551050.00 2771645.00 275390.00 263380.00 258
ACMMPR1296.60 2581480.82 261743.96 262899.25 271763.47 2704305.47 277143.90 2562530.94 280683.99 2632346.34 276201.65 2561098.25 2781920.59 279295.21 255370.16 256
TSAR-MVS + GP.1386.84 2591622.84 263678.81 258952.13 273840.17 2745358.21 282170.75 2622650.47 281713.54 2672394.28 278209.42 260855.56 2631854.36 278302.42 257340.71 253
FPMVS1407.00 2601495.59 2621141.23 273648.01 262893.85 2764124.00 275503.81 3023219.04 283742.72 2702498.84 279157.98 2341727.83 286832.93 244732.98 284802.00 278
DeepC-MVS_fast2190.19 121535.59 2611886.82 265481.89 239847.73 268830.16 2737943.84 298189.23 2652398.83 278691.73 2652341.13 275209.16 259230.25 2041999.25 281360.46 261385.25 259
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 2621869.33 2641025.33 2721030.00 2811023.00 2865311.00 281359.00 2783044.00 282937.00 2732892.00 281332.00 2721440.00 2832312.00 283607.00 267613.00 268
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
F-COLMAP1878.17 2632113.11 2661173.33 2761231.00 2821174.00 2876297.00 284392.00 2833356.00 2851087.00 2833082.00 282361.00 2761670.00 2852523.00 285689.00 274676.00 273
OpenMVS_ROBcopyleft1936.51 101959.51 2642224.88 2681163.39 2751253.91 2831434.22 2907065.71 288272.76 2682472.29 2791647.54 3133538.72 285200.37 2541496.48 2842575.17 286997.45 303559.48 265
CMPMVSbinary2623.62 151983.08 2652156.14 2671463.89 2861414.80 2881517.00 2925239.20 280867.40 3223310.30 2841128.70 2853489.90 284366.75 2772030.20 2972427.60 2841160.60 316844.46 286
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
MVS-HIRNet2125.39 2662452.68 2691143.53 2742938.33 3291446.92 2916083.19 283391.74 2823801.71 2881202.10 2873439.72 283492.73 2861304.35 2823048.25 290676.32 273679.32 274
PLCcopyleft2858.82 162192.92 2672474.00 2701349.67 2781407.00 2871356.00 2897164.00 289475.00 2953970.00 2891237.00 2903765.00 288451.00 2831891.00 2913006.00 289791.00 290802.00 278
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
OpenMVScopyleft2352.88 132263.08 2682530.89 2711459.67 2851767.00 2991591.00 2957932.00 297399.00 2843643.00 2861176.00 2863569.00 286297.00 2671927.00 2933302.00 291693.00 279861.00 287
PCF-MVS4335.85 202272.23 2692597.03 2721297.84 2771701.20 2911332.37 2888105.11 299451.45 2914031.84 2901099.10 2843966.50 289467.45 2841734.05 2872701.68 288848.94 294827.11 284
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CHOSEN 280x4202340.81 2702643.03 2731434.14 2792025.55 3081629.36 2996542.40 285412.49 2854219.70 2921547.02 3014328.52 291650.74 3021798.26 2883333.17 292727.72 281874.79 288
CHOSEN 1792x26882340.81 2702643.03 2731434.14 2792025.55 3081629.36 2996542.40 285412.49 2854219.70 2921547.02 3014328.52 291650.74 3021798.26 2883333.17 292727.72 281874.79 288
HyFIR lowres test2340.81 2702643.03 2731434.14 2792025.55 3081629.36 2996542.40 285412.49 2854219.70 2921547.02 3014328.52 291650.74 3021798.26 2883333.17 292727.72 281874.79 288
3Dnovator2482.06 142531.17 2732839.56 2761606.00 2871732.00 2951557.00 2948375.00 301483.00 2964370.00 2951371.00 2964200.00 290350.00 2742207.00 2983877.00 298798.00 2911054.00 308
tpmrst2557.50 2742847.12 2771688.66 2901784.08 3001778.25 3097445.50 295342.14 2754471.54 2961534.55 3004382.10 294530.10 2902361.21 3014142.81 302991.22 302926.51 293
AdaColmapbinary2570.77 2752948.61 2781437.24 2821873.64 3011526.60 2937819.77 296373.97 2794970.45 2991479.29 2984648.46 296525.80 2891904.97 2924150.42 303695.69 280880.14 291
SD-MVS2654.53 2763055.56 2811451.45 2831725.60 2921598.35 2969203.30 305315.86 2725016.02 3011363.85 2934894.28 299387.23 2782023.43 2943973.88 299620.04 270732.56 275
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 2773021.57 2791618.12 2882377.67 3151751.39 3088915.70 304567.44 3104569.74 2971236.84 2894615.63 295513.23 2872291.32 2993515.48 295882.39 296811.66 280
LF4IMVS2699.50 2783049.67 2801649.00 2891755.00 2961689.00 3038330.00 300464.00 2934997.00 3001528.00 2994763.00 298568.00 2932296.00 3004215.00 304827.00 293962.00 298
EGC-MVSNET2819.75 2793096.89 2821988.33 3003105.00 3302241.00 3209480.00 309640.00 3164209.00 2911583.00 3064740.00 297547.00 2922797.00 3132644.00 287924.00 300927.00 294
Vis-MVSNetpermissive2877.42 2803170.00 2831999.67 3011673.00 2902042.00 3188593.00 302474.00 2946452.00 3141268.00 2915125.00 302339.00 2733004.00 3154222.00 305384.00 262953.00 297
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
SteuartSystems-ACMMP2891.50 2813284.78 2841711.67 2911954.00 3021655.00 30210117.00 318445.00 2905102.00 3041375.00 2975126.00 303351.00 2752638.00 3114402.00 306691.00 277842.00 285
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+3414.41 173146.67 2823537.00 2851975.67 2982310.00 3132005.00 31710100.00 317626.00 3155753.00 3051803.00 3165179.00 304487.00 2852622.00 3094550.00 3071025.00 3111300.00 315
DeepC-MVS3917.13 193155.06 2833601.83 2861814.72 2962515.52 3181941.53 31310432.50 319589.42 3114789.45 2981298.65 2927677.31 320578.35 2942589.53 3053611.78 297923.52 299913.10 292
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 2843762.89 2871783.33 2941756.00 2971806.00 31012319.00 321307.00 2706319.00 3121557.00 3045763.00 305302.00 2692609.00 3075061.00 310482.00 265935.00 295
OPM-MVS3268.00 2843762.89 2871783.33 2941756.00 2971806.00 31012319.00 321307.00 2706319.00 3121557.00 3045763.00 305302.00 2692609.00 3075061.00 310482.00 265935.00 295
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
TAPA-MVS6309.84 213374.90 2863806.99 2892078.63 3032535.47 3192499.25 3288816.16 303456.05 2926255.60 3111664.52 3146704.88 310629.95 3002768.38 3126343.93 324856.35 295968.25 299
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.3528.01 2874065.89 2941914.35 2972349.10 3142141.30 31912362.70 323417.60 2896717.80 3181759.40 3156497.50 308518.18 2882629.38 3105164.32 312806.40 292972.38 300
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
tpm23617.85 2884007.23 2902449.73 3082012.71 3041698.05 3047351.19 291869.29 3236132.06 3071588.28 3078007.42 3231281.09 3293888.11 3277472.04 3281351.00 3181763.02 324
tpm cat13617.85 2884007.23 2902449.73 3082012.71 3041698.05 3047351.19 291869.29 3236132.06 3071588.28 3078007.42 3231281.09 3293888.11 3277472.04 3281351.00 3181763.02 324
CostFormer3617.85 2884007.23 2902449.73 3082012.71 3041698.05 3047351.19 291869.29 3236132.06 3071588.28 3078007.42 3231281.09 3293888.11 3277472.04 3281351.00 3181763.02 324
tpm3617.85 2884007.23 2902449.73 3082012.71 3041698.05 3047351.19 291869.29 3236132.06 3071588.28 3078007.42 3231281.09 3293888.11 3277472.04 3281351.00 3181763.02 324
MVS_111021_HR3742.80 2924330.34 2951980.20 2992484.31 3172259.52 32114973.80 328515.90 3096500.13 3151949.21 3186146.89 307535.66 2912593.66 3064880.76 309986.37 3011087.43 309
MAR-MVS3973.16 2934387.92 2962728.86 3143345.27 3313341.39 33511403.90 320798.76 3206555.62 3172569.29 3286514.86 309834.97 3143237.43 3245891.08 3151577.54 3231607.76 316
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 2944731.32 2991730.42 2922191.51 3111949.98 31416473.90 330355.33 2767172.90 3231622.98 3117879.79 321434.33 2812428.11 3035762.12 313689.04 275813.18 281
DVP-MVScopyleft3981.10 2944731.32 2991730.42 2922191.51 3111949.98 31416473.90 330355.33 2767172.90 3231622.98 3117879.79 321434.33 2812428.11 3035762.12 313689.04 275813.18 281
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 2964533.33 2972400.00 3072400.00 3162400.00 3227200.00 2902400.00 3397200.00 3252400.00 3277200.00 3152400.00 3332400.00 3027200.00 3262400.00 3302400.00 329
SED-MVS4062.74 2974671.13 2982237.56 3042643.17 3202465.14 32313996.40 325493.26 2977619.38 3262107.24 3197416.93 317610.24 2973088.29 3206075.14 3201078.39 3121159.26 310
MSP-MVS4296.20 2984911.12 3022451.45 3122725.60 3252598.35 32916203.30 329515.86 3057016.02 3192363.85 3236894.28 311887.23 3153023.43 3165973.88 3161620.04 3241732.56 320
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 2994906.56 3012803.67 3153844.00 3323116.00 33413454.00 324901.00 3276511.00 3162794.00 3297365.00 316754.00 3113634.00 3256622.00 3251914.00 3291661.00 319
OMC-MVS5022.26 3005748.82 3032842.58 3164905.27 3343101.27 33314933.60 327812.24 3219278.40 3302959.29 3308800.17 3271092.24 3273806.30 3267568.54 3321389.60 3221620.18 318
CLD-MVS7338.25 3018341.00 3044330.00 3174902.00 3334991.00 33623318.00 333728.00 31914437.00 3404378.00 33213379.00 335824.00 3135708.00 33111429.00 3411674.00 3282291.00 328
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D7684.71 3028776.23 3054410.16 3185298.55 3355631.53 33734329.90 3351504.57 33711554.00 3393896.41 33115111.00 336812.19 3125985.63 3323516.20 2962963.23 3311613.31 317
ZNCC-MVS9999.00 3039999.00 3069999.00 3209999.00 3389999.00 3409999.00 3109999.00 3439999.00 3319999.00 3359999.00 3289999.00 3369999.00 3339999.00 3339999.00 3349999.00 332
patch_mono-210000.00 30410000.00 30710000.00 32110000.00 33910000.00 34110000.00 31110000.00 34410000.00 33210000.00 33610000.00 32910000.00 33710000.00 33410000.00 33410000.00 33510000.00 333
dcpmvs_210000.00 30410000.00 30710000.00 32110000.00 33910000.00 34110000.00 31110000.00 34410000.00 33210000.00 33610000.00 32910000.00 33710000.00 33410000.00 33410000.00 33510000.00 333
DCPMVS10000.00 30410000.00 30710000.00 32110000.00 33910000.00 34110000.00 31110000.00 34410000.00 33210000.00 33610000.00 32910000.00 33710000.00 33410000.00 33410000.00 33510000.00 333
UA-Net10000.00 30410000.00 30710000.00 32110000.00 33910000.00 34110000.00 31110000.00 34410000.00 33210000.00 33610000.00 32910000.00 33710000.00 33410000.00 33410000.00 33510000.00 333
uncertanet10000.00 30410000.00 30710000.00 32110000.00 33910000.00 34110000.00 31110000.00 34410000.00 33210000.00 33610000.00 32910000.00 33710000.00 33410000.00 33410000.00 33510000.00 333
uanet10000.00 30410000.00 30710000.00 32110000.00 33910000.00 34110000.00 31110000.00 34410000.00 33210000.00 33610000.00 32910000.00 33710000.00 33410000.00 33410000.00 33510000.00 333
MVEpermissive10021.00 2210550.67 31010002.44 31312195.33 3276242.00 3368768.00 33930896.00 3344451.00 34010331.00 3386247.00 33318296.00 337283.00 26621484.00 3417364.00 3275912.00 3336334.00 331
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 31111772.44 3147637.33 3199120.00 3378206.00 33822252.00 3322010.00 33824984.00 3417458.00 33422596.00 3382940.00 33410260.00 34011100.00 3403492.00 3324446.00 330
LTVRE_ROB20565.47 2323378.08 31222805.00 31525097.33 32815500.00 34519201.00 34742712.00 3366055.00 34138388.00 34216926.00 34238534.00 3397071.00 33535653.00 34229475.00 34210584.00 34120438.00 340
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 31334443.44 31627094.33 32929249.00 34625246.00 34851144.00 3376705.00 34242886.00 34322888.00 34348534.00 34013263.00 34337507.00 34379298.00 34316024.00 34218530.00 339
114514_t99999.00 31499999.00 31799999.00 33099999.00 34799999.00 34999999.00 33899999.00 35099999.00 34499999.00 34499999.00 34199999.00 34499999.00 34499999.00 34499999.00 34399999.00 341
PHI-MVS99999.00 31499999.00 31799999.00 33099999.00 34799999.00 34999999.00 33899999.00 35099999.00 34499999.00 34499999.00 34199999.00 34499999.00 34499999.00 34499999.00 34399999.00 341
MP-MVS-pluss833433.63 3161111219.60 32275.70 17774.28 18173.29 184284.50 18211.35 177238.58 18665.86 182255.35 19414.55 175115.69 19610000000.00 34931.94 17538.12 181
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
MTAPA833442.10 3171111233.77 32367.09 17365.59 18064.81 183284.50 18210000000.00 355219.97 18559.62 181229.89 18912.72 174103.00 194203.67 19527.93 17433.46 173
XVG-OURS-SEG-HR999999.00 318999999.00 319999999.00 332999999.00 349999999.00 351999999.00 340999999.00 352999999.00 346999999.00 346999999.00 343999999.00 346999999.00 346999999.00 346999999.00 345999999.00 343
XVG-OURS999999.00 318999999.00 319999999.00 332999999.00 349999999.00 351999999.00 340999999.00 352999999.00 346999999.00 346999999.00 343999999.00 346999999.00 346999999.00 346999999.00 345999999.00 343
XVG-ACMP-BASELINE999999.00 318999999.00 319999999.00 332999999.00 349999999.00 351999999.00 340999999.00 352999999.00 346999999.00 346999999.00 343999999.00 346999999.00 346999999.00 346999999.00 345999999.00 343
mamba_040810000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
icg_test_0407_210000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
SSM_0407210000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
SSM_040710000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
IMVS_040710000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
IMVS_040410000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
SSM_040410000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
IMVS_040310000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
SD_040310000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
NormalMVS10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
lecture10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
SymmetryMVS10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
Elysia10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
StellarMVS10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
KinetiMVS10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
LuminaMVS10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
VortexMVS10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
AstraMVS10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
guyue10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
sc_t110000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
tt0320-xc10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
tt032010000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
MVSMamba_PlusPlus10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
MGCFI-Net10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
sasdasda10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
dmvs_re10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
SDMVSNet10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
dmvs_testset10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
sd_testset10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
balanced_conf0310000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
MonoMVSNet10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
test250610000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
test111110000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
ECVR-MVScopyleft10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
test_blank10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
tt080510000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
Anonymous2024052110000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
cl2210000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
miper_ehance_all_eth10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
miper_enhance_ethall10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
cl____10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
DIV-MVS_self_test10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
eth_miper_zixun_eth10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
ET-MVSNet_ETH3D10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
UniMVSNet_ETH3D10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
miper_lstm_enhance10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
D2MVS10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
test_yl10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
thisisatest053010000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
Anonymous2024052910000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
Anonymous20240521110000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
DCV-MVSNet10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
tttt051710000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
our_test_310000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
thisisatest051510000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
ppachtmachnet_test10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
SMA-MVScopyleft10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
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 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
tfpnnormal10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
tfpn200view910000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
c3_l10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
IterMVS-SCA-FT10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
pmmvs610000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
pmmvs510000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
Anonymous2023121110000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
pmmvs-eth3d10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
Anonymous2023120610000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
SCA10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
Patchmatch-test10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
Patchmatch-RL test10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
canonicalmvs10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
anonymousdsp10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
FIs10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
FC-MVSNet-test10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
sosnet-low-res10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
AllTest10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
RRT-MVS10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
mamv410000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
HPM-MVS++copyleft10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
XVS10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
pm-mvs110000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
X-MVStestdata10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
APDe-MVScopyleft10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
pmmvs410000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
test-LLR10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
TESTMET0.1,110000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
test-mter10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
testgi10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
test20.0310000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
thres600view710000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
MP-MVScopyleft10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
thres40010000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
test12310000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
thres20010000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
test0.0.03 110000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
pmmvs310000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
EMVS10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
E-PMN10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
PGM-MVS10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
MCST-MVS10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
MVS_Test10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
PMMVS210000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
PM-MVS10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
HQP_MVS10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
mPP-MVS10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
mvsmamba10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
HPM-MVS_fast10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
HPM-MVScopyleft10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
EPNet_dtu10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
NCCC10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
CP-MVS10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
CPTT-MVS10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
HQP-MVS10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
IS-MVSNet10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
PAPM_NR10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
PAPR10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
Vis-MVSNet (Re-imp)10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
PatchMatch-RL10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
TDRefinement10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
EPP-MVSNet10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
PMMVS10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
PAPM10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
ACMMPcopyleft10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
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 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
wuyk23d10000000.00 32110000000.00 32410000000.00 33510000000.00 35210000000.00 35410000000.00 34310000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
APD-MVScopyleft1000000000.00 4521000000000.00 4551000000000.00 4681000000000.00 4931000000000.00 4931000000000.00 4791000000000.00 4931000000000.00 4861000000000.00 4871000000000.00 4841000000000.00 4891000000000.00 4871000000000.00 4861000000000.00 4851000000000.00 483
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
WAC-MVS248.46 213422.23 206
FOURS12643.17 3202465.14 32313996.40 325493.26 2977619.38 3262107.24 319
MSC_two_6792asdad2237.56 3042643.17 3202465.14 323493.26 2973088.29 3206075.14 3201078.39 3121159.26 310
PC_three_14527619.38 3262107.24 3197416.93 317610.24 2973088.29 3206075.14 3201078.39 3121159.26 310
No_MVS2237.56 3042643.17 3202465.14 323493.26 2973088.29 3206075.14 3201078.39 3121159.26 310
test_one_06012643.17 3202465.14 323493.26 2977619.38 3262107.24 3197416.93 317610.24 297
eth-test21.42 106
eth-test10000000.00 352
ZD-MVS1584.00 2891821.00 312378.00 2813721.00 2871231.00 2881833.00 269321.00 2711224.00 2812103.00 282692.00 278
RE-MVS-def610.10 218610.10 247610.10 260610.10 201610.10 312610.10 212610.10 259610.10 208610.10 295610.10 227610.10 268610.10 266
IU-MVS2725.60 3252598.35 329515.86 3057016.02 3192363.85 3235973.88 3161620.04 3241732.56 320
OPU-MVS2451.45 3122725.60 3252598.35 3299203.30 3056894.28 311887.23 3153023.43 3165973.88 3161620.04 3241732.56 320
test_241102_TWO515.86 3057016.02 3192363.85 3236894.28 311887.23 3153023.43 3165973.88 3161620.04 3241732.56 320
test_241102_ONE2725.60 3252598.35 329515.86 3057016.02 3192363.85 3236894.28 311887.23 3153023.43 316
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 3011363.85 2934894.28 299387.23 2782023.43 2943973.88 299620.04 270732.56 275
test_0728_SECOND1451.45 2831725.60 2921598.35 2969203.30 305315.86 2722023.43 2943973.88 299620.04 270732.56 275
test07261725.60 2921598.35 2969203.30 305315.86 2725016.02 3011363.85 2934894.28 299387.23 278
GSMVS10000000.00 346
test_part210000000.00 35210000000.00 35410000000.00 349
sam_mvs110000000.00 34910000000.00 346
sam_mvs10000000.00 349
ambc999.00 265999.00 274999.00 279999.00 221999.00 328999.00 274999.00 237999.00 320999.00 270999.00 250999.00 304999.00 301
MTGPAbinary10000000.00 355
test_post110000000.00 34310000000.00 34610000000.00 34910000000.00 34910000000.00 349
test_post10000000.00 34610000000.00 34910000000.00 349
patchmatchnet-post10000000.00 34610000000.00 34910000000.00 349
GG-mvs-BLEND596.01 248611.29 249600.33 257790.30 208513.12 303552.71 252567.40 202662.54 307531.67 237503.93 213779.80 285656.02 269
MTMP10000000.00 34310000000.00 355
gm-plane-assit611.29 249600.33 257579.21 206567.40 202531.67 237503.93 213
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 33510000000.00 35210000000.00 35410000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
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 35210000000.00 354
plane_prior610000000.00 35210000000.00 35410000000.00 349
plane_prior510000000.00 35510000000.00 34910000000.00 34910000000.00 34810000000.00 346
plane_prior410000000.00 346
plane_prior310000000.00 35410000000.00 34910000000.00 349
plane_prior210000000.00 34310000000.00 349
plane_prior110000000.00 352
plane_prior1.00 1002.00 1382.00 1392.00 137
n214.20 180
nn1.42 108
door-mid1.42 108
lessismore_v0569.20 246667.25 263644.68 26396.45 229428.86 2381514.17 265204.21 258756.58 2591061.60 259197.79 236306.34 248
LGP-MVS_train10000000.00 33510000000.00 35210000000.00 35410000000.00 35510000000.00 34910000000.00 34910000000.00 34610000000.00 34910000000.00 34910000000.00 34910000000.00 34810000000.00 346
test111.00 101
door99.00 233
HQP5-MVS10000000.00 354
HQP-NCC10000000.00 35210000000.00 34310000000.00 34910000000.00 349
ACMP_Plane10000000.00 35210000000.00 34310000000.00 34910000000.00 349
BP-MVS10000000.00 349
HQP4-MVS10000000.00 34910000000.00 34910000000.00 346
HQP3-MVS10000000.00 35510000000.00 348
HQP2-MVS10000000.00 349
NP-MVS10000000.00 35210000000.00 35410000000.00 346
MDTV_nov1_ep13_2view9.99 1609.99 1589.99 1599.99 1589.99 1609.99 1569.99 159
MDTV_nov1_ep139.99 1469.99 1599.99 1609.99 1589.99 1669.99 1599.99 1589.99 1559.99 1609.99 1599.99 1569.99 160
ACMMP++_ref10000000.00 348
ACMMP++10000000.00 348
Test By Simon990.00 319
ITE_SJBPF2014.00 3021998.00 3031992.00 316701.00 3185989.00 3061812.00 3173612.00 287650.00 3012852.00 3144601.00 3081195.00 3171198.00 314
DeepMVS_CXcopyleft1.00 931.00 1001.00 1001.00 1011.00 1001.00 991.00 971.00 991.00 1001.00 981.00 981.00 98