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

(*) For exact definitions, detailing how potentially incomplete ground truth is taken into account, see our paper.

The datasets are grouped into different categories, and result averages are computed for a category and method if results of the method are available for all datasets within the category. Note that the category "all" includes both the high-res multi-view and the low-res many-view scenarios.

Methods with suffix _ROB may participate in the Robust Vision Challenge.

Click a dataset result cell to show a visualization of the reconstruction. For training datasets, ground truth and accuracy / completeness visualizations are also available. The visualizations may not work with mobile browsers.




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort bysort bysort bysort bysort bysort by
SMA-MVS99.71 3299.62 4499.98 1699.99 4599.95 19100.00 199.42 12197.61 123100.00 1100.00 199.55 24100.00 1100.00 1100.00 1100.00 1
test_part2100.00 199.99 1100.00 1
ESAPD99.76 1599.69 18100.00 1100.00 199.99 1100.00 199.42 12198.23 64100.00 1100.00 199.53 26100.00 1100.00 1100.00 1100.00 1
CHOSEN 280x42099.85 399.87 199.80 9599.99 4599.97 899.97 20099.98 1398.96 21100.00 1100.00 199.96 399.42 207100.00 1100.00 1100.00 1
CANet_DTU99.02 11998.90 12099.41 14099.88 9798.71 166100.00 199.29 21198.84 30100.00 1100.00 194.02 200100.00 198.08 20099.96 10099.52 201
HSP-MVS99.81 999.77 899.94 59100.00 199.86 67100.00 199.42 12198.87 29100.00 1100.00 199.65 1899.96 114100.00 1100.00 1100.00 1
TSAR-MVS + MP.99.82 799.77 899.99 5100.00 199.96 10100.00 199.43 11599.05 12100.00 1100.00 199.45 4399.99 82100.00 1100.00 1100.00 1
xiu_mvs_v1_base_debu99.35 7699.21 8099.79 9999.67 13699.71 9699.78 24499.36 18298.13 71100.00 1100.00 197.00 148100.00 199.83 8699.07 12599.66 195
ACMMP_Plus99.67 4699.57 5199.97 2499.98 7299.92 36100.00 199.42 12197.83 98100.00 1100.00 198.89 99100.00 199.98 59100.00 1100.00 1
xiu_mvs_v2_base99.51 6399.41 6199.82 8999.70 13199.73 8899.92 21799.40 15598.15 69100.00 1100.00 198.50 115100.00 199.85 8399.13 12399.74 186
xiu_mvs_v1_base99.35 7699.21 8099.79 9999.67 13699.71 9699.78 24499.36 18298.13 71100.00 1100.00 197.00 148100.00 199.83 8699.07 12599.66 195
xiu_mvs_v1_base_debi99.35 7699.21 8099.79 9999.67 13699.71 9699.78 24499.36 18298.13 71100.00 1100.00 197.00 148100.00 199.83 8699.07 12599.66 195
TEST9100.00 199.95 19100.00 199.42 12197.65 119100.00 1100.00 199.53 2699.97 99
train_agg99.71 3299.63 3999.97 24100.00 199.95 19100.00 199.42 12197.70 109100.00 1100.00 199.51 3199.97 99100.00 1100.00 1100.00 1
test_8100.00 199.91 39100.00 199.42 12197.70 109100.00 1100.00 199.51 3199.98 95
agg_prior399.71 3299.63 3999.97 24100.00 199.95 19100.00 199.42 12197.71 108100.00 1100.00 199.51 3199.97 99100.00 1100.00 1100.00 1
agg_prior199.71 3299.63 3999.95 47100.00 199.88 59100.00 199.42 12197.72 106100.00 1100.00 199.51 3199.97 99100.00 1100.00 1100.00 1
agg_prior100.00 199.88 5999.42 121100.00 199.97 99
canonicalmvs99.03 11598.73 13299.94 5999.75 12899.95 19100.00 199.30 20797.64 121100.00 1100.00 195.22 18599.97 9999.76 9796.90 21099.91 128
alignmvs99.38 7499.21 8099.91 6999.73 12999.92 36100.00 199.51 8097.61 123100.00 1100.00 199.06 8199.93 13399.83 8697.12 20699.90 136
HFP-MVS99.74 2399.67 2799.96 36100.00 199.89 49100.00 199.76 4697.95 89100.00 1100.00 199.31 55100.00 199.99 45100.00 1100.00 1
region2R99.72 2999.64 3599.97 24100.00 199.90 45100.00 199.74 5397.86 97100.00 1100.00 199.19 73100.00 199.99 45100.00 1100.00 1
PS-MVSNAJ99.64 5099.57 5199.85 8599.78 12299.81 7899.95 20999.42 12198.38 55100.00 1100.00 198.75 106100.00 199.88 7999.99 8899.74 186
#test#99.75 1899.68 2299.96 36100.00 199.89 49100.00 199.76 4698.07 77100.00 1100.00 199.31 55100.00 199.99 45100.00 1100.00 1
EI-MVSNet-UG-set99.69 4099.63 3999.87 8199.99 4599.64 10599.95 20999.44 10698.35 59100.00 1100.00 198.98 8899.97 9999.98 59100.00 1100.00 1
Regformer-399.73 2699.65 3199.96 36100.00 199.89 49100.00 199.44 10698.40 52100.00 1100.00 199.03 8699.97 9999.99 45100.00 1100.00 1
Regformer-499.73 2699.65 3199.95 47100.00 199.89 49100.00 199.44 10698.40 52100.00 1100.00 199.03 8699.97 9999.99 45100.00 1100.00 1
Regformer-199.75 1899.68 2299.98 16100.00 199.94 28100.00 199.44 10698.43 49100.00 1100.00 199.23 6999.99 8299.99 45100.00 1100.00 1
Regformer-299.75 1899.68 2299.97 24100.00 199.94 28100.00 199.44 10698.42 51100.00 1100.00 199.22 7099.99 8299.99 45100.00 1100.00 1
XVS99.79 1299.73 1499.98 16100.00 199.94 28100.00 199.75 5098.67 40100.00 1100.00 199.16 76100.00 1100.00 1100.00 1100.00 1
test_prior399.81 999.78 699.90 72100.00 199.75 85100.00 199.73 5598.82 33100.00 1100.00 199.47 4099.97 99100.00 1100.00 1100.00 1
test_prior2100.00 198.82 33100.00 1100.00 199.47 40100.00 1100.00 1
X-MVStestdata97.04 20496.06 23399.98 16100.00 199.94 28100.00 199.75 5098.67 40100.00 166.97 35999.16 76100.00 1100.00 1100.00 1100.00 1
旧先验2100.00 198.11 75100.00 1100.00 199.67 107
新几何199.99 5100.00 199.96 1099.81 4297.89 93100.00 1100.00 199.20 72100.00 197.91 207100.00 1100.00 1
原ACMM199.93 62100.00 199.80 8099.66 7198.18 66100.00 1100.00 199.43 45100.00 199.50 127100.00 1100.00 1
test22299.99 4599.90 45100.00 199.69 7097.66 112100.00 1100.00 199.30 61100.00 1100.00 1
testdata99.66 11699.99 4598.97 15899.73 5597.96 88100.00 1100.00 199.42 46100.00 199.28 144100.00 1100.00 1
112199.63 5299.51 5699.99 599.99 4599.96 1099.24 30699.74 5397.89 93100.00 1100.00 199.39 49100.00 199.33 140100.00 1100.00 1
LFMVS97.42 18896.62 20699.81 9299.80 11499.50 11199.16 32199.56 7494.48 248100.00 1100.00 179.35 332100.00 199.89 7897.37 20499.94 116
SD-MVS99.81 999.75 1299.99 599.99 4599.96 10100.00 199.42 12199.01 18100.00 1100.00 199.33 51100.00 1100.00 1100.00 1100.00 1
MSLP-MVS++99.89 199.85 299.99 5100.00 199.96 10100.00 199.95 1599.11 6100.00 1100.00 199.60 19100.00 1100.00 1100.00 1100.00 1
APDe-MVS99.84 699.78 699.99 5100.00 199.98 6100.00 199.44 10699.06 10100.00 1100.00 199.56 2399.99 82100.00 1100.00 1100.00 1
APD-MVS_3200maxsize99.65 4899.55 5599.97 2499.99 4599.91 39100.00 199.48 8297.54 130100.00 1100.00 198.97 8999.99 8299.98 59100.00 1100.00 1
VNet99.04 11498.75 13199.90 7299.81 10099.75 8599.50 28899.47 8398.36 58100.00 199.99 14094.66 194100.00 199.90 7697.09 20799.96 107
ACMMPR99.74 2399.67 2799.96 36100.00 199.89 49100.00 199.76 4697.95 89100.00 1100.00 199.29 62100.00 199.99 45100.00 1100.00 1
PGM-MVS99.69 4099.61 4599.95 4799.99 4599.85 70100.00 199.58 7397.69 111100.00 1100.00 199.44 44100.00 199.79 91100.00 1100.00 1
MCST-MVS99.85 399.80 4100.00 1100.00 199.99 1100.00 199.73 5599.19 5100.00 1100.00 199.31 55100.00 1100.00 1100.00 1100.00 1
CDPH-MVS99.73 2699.64 3599.99 5100.00 199.97 8100.00 199.42 12198.02 80100.00 1100.00 199.32 5499.99 82100.00 1100.00 1100.00 1
test1299.95 4799.99 4599.89 4999.42 121100.00 199.24 6899.97 99100.00 1100.00 1
TSAR-MVS + GP.99.61 5599.69 1899.35 14699.99 4598.06 212100.00 199.36 18299.83 2100.00 1100.00 198.95 9299.99 82100.00 199.11 124100.00 1
abl_699.53 6199.40 6299.92 68100.00 199.76 83100.00 199.42 12197.21 149100.00 1100.00 198.12 121100.00 199.82 90100.00 1100.00 1
mPP-MVS99.69 4099.60 4699.97 24100.00 199.91 39100.00 199.42 12197.91 92100.00 1100.00 199.04 83100.00 1100.00 1100.00 1100.00 1
HPM-MVS_fast99.60 5899.49 5999.91 6999.99 4599.78 82100.00 199.42 12197.09 157100.00 1100.00 198.95 9299.96 11499.98 59100.00 1100.00 1
HPM-MVScopyleft99.59 5999.50 5799.89 75100.00 199.70 100100.00 199.42 12197.46 133100.00 1100.00 198.60 11199.96 11499.99 45100.00 1100.00 1
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
EPNet99.62 5399.69 1899.42 13999.99 4598.37 181100.00 199.89 3898.83 31100.00 1100.00 198.97 89100.00 199.90 7699.61 11999.89 141
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
APD-MVScopyleft99.68 4399.58 4999.97 2499.99 4599.96 10100.00 199.42 12197.53 131100.00 1100.00 199.27 6699.97 99100.00 1100.00 1100.00 1
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
CNVR-MVS99.85 399.80 4100.00 1100.00 199.99 1100.00 199.77 4599.07 8100.00 1100.00 199.39 49100.00 1100.00 1100.00 1100.00 1
NCCC99.86 299.82 3100.00 1100.00 199.99 1100.00 199.71 6399.07 8100.00 1100.00 199.59 21100.00 1100.00 1100.00 1100.00 1
114514_t99.39 7399.25 7599.81 9299.97 7699.48 118100.00 199.42 12195.53 222100.00 1100.00 198.37 11899.95 12099.97 64100.00 1100.00 1
CP-MVS99.67 4699.58 4999.95 47100.00 199.84 71100.00 199.42 12197.77 103100.00 1100.00 199.07 80100.00 1100.00 1100.00 1100.00 1
SteuartSystems-ACMMP99.78 1399.71 1699.98 1699.76 12699.95 19100.00 199.42 12198.69 38100.00 1100.00 199.52 2999.99 82100.00 1100.00 1100.00 1
Skip Steuart: Steuart Systems R&D Blog.
PVSNet_BlendedMVS98.71 14298.62 14298.98 17099.98 7299.60 107100.00 1100.00 197.23 146100.00 199.03 27396.57 16299.99 82100.00 194.75 23897.35 308
PVSNet_Blended99.48 6899.36 6899.83 8899.98 7299.60 107100.00 1100.00 197.79 102100.00 1100.00 196.57 16299.99 82100.00 199.88 10899.90 136
MVS_111021_LR99.70 3799.65 3199.88 8099.96 8199.70 100100.00 199.97 1498.96 21100.00 1100.00 197.93 12599.95 12099.99 45100.00 1100.00 1
PAPM_NR99.74 2399.66 3099.99 5100.00 199.96 10100.00 199.47 8397.87 96100.00 1100.00 199.60 19100.00 1100.00 1100.00 1100.00 1
PAPR99.76 1599.68 2299.99 5100.00 199.96 10100.00 199.47 8398.16 67100.00 1100.00 199.51 31100.00 1100.00 1100.00 1100.00 1
MVS_111021_HR99.71 3299.63 3999.93 6299.95 8299.83 72100.00 1100.00 198.89 26100.00 1100.00 197.85 12699.95 120100.00 1100.00 1100.00 1
API-MVS99.72 2999.70 1799.79 9999.97 7699.37 12699.96 20399.94 1898.48 47100.00 1100.00 198.92 96100.00 1100.00 1100.00 1100.00 1
PHI-MVS99.50 6499.39 6499.82 89100.00 199.45 120100.00 199.94 1896.38 199100.00 1100.00 198.18 120100.00 1100.00 1100.00 1100.00 1
PVSNet94.91 1899.30 8899.25 7599.44 136100.00 198.32 187100.00 199.86 3998.04 79100.00 1100.00 196.10 170100.00 199.55 11999.73 115100.00 1
DeepPCF-MVS98.03 498.54 15399.72 1594.98 30699.99 4584.94 332100.00 199.42 12199.98 1100.00 1100.00 198.11 122100.00 1100.00 1100.00 1100.00 1
DeepC-MVS_fast98.92 199.75 1899.67 2799.99 599.99 4599.96 1099.73 25999.52 7699.06 10100.00 1100.00 198.80 104100.00 199.95 71100.00 1100.00 1
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
MG-MVS99.75 1899.68 2299.97 24100.00 199.91 3999.98 19399.47 8399.09 7100.00 1100.00 198.59 112100.00 199.95 71100.00 1100.00 1
MAR-MVS99.49 6699.36 6899.89 7599.97 7699.66 10399.74 25599.95 1597.89 93100.00 1100.00 196.71 160100.00 1100.00 1100.00 1100.00 1
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
EI-MVSNet-Vis-set99.70 3799.64 3599.87 81100.00 199.64 10599.98 19399.44 10698.35 5999.99 76100.00 199.04 8399.96 11499.98 59100.00 1100.00 1
MP-MVScopyleft99.61 5599.49 5999.98 1699.99 4599.94 28100.00 199.42 12197.82 10099.99 76100.00 198.20 119100.00 199.99 45100.00 1100.00 1
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
MDTV_nov1_ep1398.94 11199.53 16698.36 18299.39 29599.46 9596.54 18999.99 7699.63 22998.92 9699.86 14398.30 18898.71 133
DP-MVS Recon99.76 1599.69 1899.98 16100.00 199.95 19100.00 199.52 7697.99 8299.99 76100.00 199.72 15100.00 199.96 66100.00 1100.00 1
PAPM99.78 1399.76 1099.85 8599.01 21699.95 19100.00 199.75 5099.37 399.99 76100.00 199.76 1499.60 174100.00 1100.00 1100.00 1
VDDNet96.39 23895.55 25598.90 17599.27 19997.45 23599.15 32299.92 3691.28 30299.98 81100.00 173.55 341100.00 199.85 8396.98 20899.24 205
tpmrst98.98 12598.93 11299.14 16199.61 14997.74 22999.52 28699.36 18296.05 20799.98 8199.64 22599.04 8399.86 14398.94 15798.19 16299.82 169
CPTT-MVS99.49 6699.38 6699.85 85100.00 199.54 109100.00 199.42 12197.58 12899.98 81100.00 197.43 136100.00 199.99 45100.00 1100.00 1
sss99.45 7099.34 7299.80 9599.76 12699.50 111100.00 199.91 3797.72 10699.98 8199.94 17698.45 116100.00 199.53 12598.75 13299.89 141
Effi-MVS+98.58 14998.24 16099.61 11899.60 15199.26 13397.85 34399.10 27396.22 20499.97 8599.89 18293.75 20299.77 15899.43 12998.34 15299.81 171
MVSFormer98.94 12998.82 12499.28 15299.45 18199.49 114100.00 199.13 26595.46 22999.97 85100.00 196.76 15898.59 26998.63 174100.00 199.74 186
lupinMVS99.29 8999.16 8699.69 11499.45 18199.49 114100.00 199.15 25697.45 13499.97 85100.00 196.76 15899.76 15999.67 107100.00 199.81 171
tfpn100099.47 6999.34 7299.87 8199.89 9699.80 80100.00 199.72 6197.83 9899.96 8899.98 14199.94 499.82 15298.87 16197.87 176100.00 1
tfpn_ndepth99.52 6299.39 6499.89 7599.90 9499.83 72100.00 199.72 6197.95 8999.96 8899.98 14199.94 499.85 14799.17 14997.91 173100.00 1
GG-mvs-BLEND99.59 12499.54 16399.49 11499.17 32099.52 7699.96 8899.68 217100.00 199.33 21399.71 10199.99 8899.96 107
gg-mvs-nofinetune96.95 20996.10 23199.50 13499.41 18599.36 12799.07 32999.52 7683.69 33799.96 8883.60 354100.00 199.20 21699.68 10599.99 8899.96 107
HPM-MVS++copyleft99.82 799.76 1099.99 599.99 4599.98 6100.00 199.83 4098.88 2799.96 88100.00 199.21 71100.00 1100.00 1100.00 199.99 89
ADS-MVSNet298.28 16698.51 15097.62 24699.51 17495.03 27899.24 30699.41 15395.52 22499.96 8899.70 21097.57 13297.94 30697.11 22898.54 13599.88 153
ADS-MVSNet98.70 14498.51 15099.28 15299.51 17498.39 17899.24 30699.44 10695.52 22499.96 8899.70 21097.57 13299.58 17897.11 22898.54 13599.88 153
MVS_Test98.93 13098.65 13999.77 10999.62 14799.50 11199.99 17699.19 24795.52 22499.96 8899.86 18696.54 16499.98 9598.65 17298.48 13999.82 169
DWT-MVSNet_test99.22 10099.22 7999.22 15799.56 16297.98 21699.89 22399.39 16997.20 15099.96 88100.00 199.52 2999.82 15299.11 15398.34 15299.87 160
PatchFormer-LS_test99.14 10699.12 9599.19 15899.54 16397.86 22699.66 27499.40 15596.94 16799.96 88100.00 199.29 6299.84 14898.96 15698.29 15599.88 153
EPNet_dtu98.53 15498.23 16299.43 13899.92 9199.01 15499.96 20399.47 8398.80 3599.96 8899.96 16098.56 11399.30 21487.78 32399.68 116100.00 1
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CostFormer98.84 13598.77 12999.04 16599.41 18597.58 23499.67 27299.35 19094.66 24299.96 8899.36 24999.28 6599.74 16199.41 13597.81 18399.81 171
CR-MVSNet98.02 17497.71 18198.93 17299.31 19698.86 16199.13 32399.00 30296.53 19099.96 8898.98 27996.94 15598.10 29791.18 30098.40 14599.84 163
JIA-IIPM97.09 20096.34 21799.36 14598.88 23198.59 17199.81 23999.43 11584.81 33499.96 8890.34 34698.55 11499.52 19697.00 23098.28 15799.98 91
PatchT95.90 26194.95 27498.75 18399.03 21498.39 17899.08 32799.32 20085.52 33099.96 8894.99 33997.94 12498.05 30480.20 33698.47 14199.81 171
tpm98.24 16898.22 16398.32 20399.13 20395.79 27099.53 28599.12 27195.20 23299.96 8899.36 24997.58 13199.28 21597.41 22296.67 21199.88 153
RPMNet95.10 27593.82 27898.93 17299.31 19698.86 16199.13 32399.38 17379.82 34299.96 8895.13 33795.69 17998.10 29777.54 34298.40 14599.84 163
MDTV_nov1_ep13_2view99.24 13799.56 28296.31 20299.96 8898.86 10098.92 15899.89 141
PMMVS99.12 10798.97 10599.58 12899.57 16098.98 156100.00 199.30 20797.14 15299.96 88100.00 196.53 16599.82 15299.70 10398.49 13899.94 116
PatchmatchNetpermissive99.03 11598.96 10699.26 15499.49 17998.33 18499.38 29699.45 9796.64 18399.96 8899.58 23599.49 3799.50 19997.63 21399.00 12899.93 125
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
PLCcopyleft98.56 299.70 3799.74 1399.58 128100.00 198.79 163100.00 199.54 7598.58 4599.96 88100.00 199.59 21100.00 1100.00 1100.00 199.94 116
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
zzz-MVS99.68 4399.59 4799.97 2499.99 4599.91 39100.00 199.42 12198.32 6199.94 109100.00 198.65 109100.00 199.96 66100.00 1100.00 1
MTAPA99.68 4399.59 4799.97 2499.99 4599.91 39100.00 199.42 12198.32 6199.94 109100.00 198.65 109100.00 199.96 66100.00 1100.00 1
tpm298.64 14698.58 14698.81 18199.42 18497.12 25099.69 26999.37 17693.63 27499.94 10999.67 21898.96 9199.47 20298.62 17697.95 17199.83 166
dp98.72 14198.61 14399.03 16699.53 16697.39 23899.45 29099.39 16995.62 21999.94 10999.52 24198.83 10199.82 15296.77 24098.42 14499.89 141
Vis-MVSNetpermissive98.52 15598.25 15999.34 14799.68 13598.55 17399.68 27199.41 15397.34 14299.94 109100.00 190.38 25799.70 16699.03 15598.84 13099.76 181
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
mvs-test198.89 13398.99 10498.60 18899.77 12495.96 266100.00 198.94 30497.61 12399.93 11499.92 17995.89 17199.93 13399.36 13799.50 12099.90 136
EPMVS99.25 9599.13 9399.60 12199.60 15199.20 14099.60 279100.00 196.93 16899.92 11599.36 24999.05 8299.71 16598.77 16698.94 12999.90 136
Effi-MVS+-dtu98.51 15798.86 12297.47 25399.77 12494.21 301100.00 198.94 30497.61 12399.91 11698.75 29395.89 17199.51 19899.36 13799.48 12198.68 208
tpmp4_e2398.71 14298.66 13698.84 17899.60 15196.98 25599.83 23299.35 19094.29 25299.90 11799.50 24399.17 7599.73 16298.22 19098.13 16499.81 171
F-COLMAP99.64 5099.64 3599.67 11599.99 4599.07 146100.00 199.44 10698.30 6399.90 117100.00 199.18 7499.99 8299.91 75100.00 199.94 116
AdaColmapbinary99.44 7199.26 7499.95 47100.00 199.86 6799.70 26599.99 1098.53 4699.90 117100.00 195.34 182100.00 199.92 74100.00 1100.00 1
PatchMatch-RL99.02 11998.78 12899.74 11099.99 4599.29 130100.00 1100.00 198.38 5599.89 12099.81 19793.14 21199.99 8297.85 20899.98 9599.95 112
CNLPA99.72 2999.65 3199.91 6999.97 7699.72 95100.00 199.47 8398.43 4999.88 121100.00 199.14 78100.00 199.97 64100.00 1100.00 1
OMC-MVS99.27 9199.38 6698.96 17199.95 8297.06 253100.00 199.40 15598.83 3199.88 121100.00 197.01 14399.86 14399.47 12899.84 11199.97 96
WTY-MVS99.54 6099.40 6299.95 4799.81 10099.93 33100.00 1100.00 197.98 8499.84 123100.00 198.94 9499.98 9599.86 8198.21 16099.94 116
HY-MVS96.53 999.50 6499.35 7099.96 3699.81 10099.93 3399.64 276100.00 197.97 8699.84 12399.85 18898.94 9499.99 8299.86 8198.23 15999.95 112
tfpn11199.24 9899.00 10199.95 4799.81 10099.87 62100.00 199.94 1897.13 15399.83 12599.96 16097.01 143100.00 199.54 12297.77 18699.97 96
conf200view1199.25 9599.01 9999.95 4799.81 10099.87 62100.00 199.94 1897.13 15399.83 12599.96 16097.01 143100.00 199.59 11397.85 17899.97 96
thres100view90099.25 9599.01 9999.95 4799.81 10099.87 62100.00 199.94 1897.13 15399.83 12599.96 16097.01 143100.00 199.59 11397.85 17899.98 91
tfpn200view999.26 9399.03 9799.96 3699.81 10099.89 49100.00 199.94 1897.23 14699.83 12599.96 16097.04 139100.00 199.59 11397.85 17899.98 91
UA-Net99.06 11298.83 12399.74 11099.52 17199.40 12399.08 32799.45 9797.64 12199.83 125100.00 195.80 17499.94 13198.35 18599.80 11499.88 153
thres600view799.24 9899.00 10199.95 4799.81 10099.87 62100.00 199.94 1897.13 15399.83 12599.96 16097.01 143100.00 199.54 12297.77 18699.97 96
thres40099.26 9399.03 9799.95 4799.81 10099.89 49100.00 199.94 1897.23 14699.83 12599.96 16097.04 139100.00 199.59 11397.85 17899.97 96
thres20099.27 9199.04 9699.96 3699.81 10099.90 45100.00 199.94 1897.31 14599.83 12599.96 16097.04 139100.00 199.62 11297.88 17599.98 91
jason99.11 10898.96 10699.59 12499.17 20299.31 129100.00 199.13 26597.38 13899.83 125100.00 195.54 18199.72 16499.57 11899.97 9899.74 186
jason: jason.
RPSCF97.37 18998.24 16094.76 30899.80 11484.57 33399.99 17699.05 29694.95 23699.82 134100.00 194.03 199100.00 198.15 19398.38 15099.70 191
LS3D99.31 8799.13 9399.87 8199.99 4599.71 9699.55 28399.46 9597.32 14399.82 134100.00 196.85 15799.97 9999.14 150100.00 199.92 127
MVS_030498.98 12598.66 13699.94 5999.95 8299.86 67100.00 199.29 21198.38 5599.81 136100.00 190.60 252100.00 1100.00 199.91 10599.95 112
UGNet98.41 16198.11 16599.31 15099.54 16398.55 17399.18 315100.00 198.64 4399.79 13799.04 26887.61 287100.00 199.30 14399.89 10799.40 204
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
CANet99.40 7299.24 7799.89 7599.99 4599.76 83100.00 199.73 5598.40 5299.78 138100.00 195.28 18399.96 114100.00 199.99 8899.96 107
MP-MVS-pluss99.61 5599.50 5799.97 2499.98 7299.92 36100.00 199.42 12197.53 13199.77 139100.00 198.77 105100.00 199.99 45100.00 199.99 89
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
VDD-MVS96.58 22895.99 23698.34 20199.52 17195.33 27299.18 31599.38 17396.64 18399.77 139100.00 172.51 343100.00 1100.00 196.94 20999.70 191
Patchmatch-test198.23 16997.91 17499.17 15999.41 18598.25 19599.99 17699.45 9796.91 16999.76 14199.69 21289.65 26799.37 21097.55 21698.79 13199.89 141
ACMMPcopyleft99.65 4899.57 5199.89 7599.99 4599.66 10399.75 25499.73 5598.16 6799.75 142100.00 198.90 98100.00 199.96 6699.88 108100.00 1
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
DELS-MVS99.62 5399.56 5499.82 8999.92 9199.45 120100.00 199.78 4498.92 2599.73 143100.00 197.70 129100.00 199.93 73100.00 1100.00 1
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
tpm cat198.05 17297.76 17798.92 17499.50 17797.10 25299.77 24899.30 20790.20 30999.72 14498.71 29597.71 12899.86 14396.75 24298.20 16199.81 171
cascas98.43 15998.07 16899.50 13499.65 14099.02 151100.00 199.22 24094.21 25699.72 14499.98 14192.03 22299.93 13399.68 10598.12 16599.54 200
conf0.0199.32 8099.16 8699.80 9599.79 11699.73 88100.00 199.71 6397.66 11299.71 146100.00 199.78 699.70 16698.15 19397.67 19599.97 96
conf0.00299.32 8099.16 8699.80 9599.79 11699.73 88100.00 199.71 6397.66 11299.71 146100.00 199.78 699.70 16698.15 19397.67 19599.97 96
thresconf0.0299.32 8099.16 8699.79 9999.79 11699.73 88100.00 199.71 6397.66 11299.71 146100.00 199.78 699.70 16698.15 19397.67 19599.94 116
tfpn_n40099.32 8099.16 8699.79 9999.79 11699.73 88100.00 199.71 6397.66 11299.71 146100.00 199.78 699.70 16698.15 19397.67 19599.94 116
tfpnconf99.32 8099.16 8699.79 9999.79 11699.73 88100.00 199.71 6397.66 11299.71 146100.00 199.78 699.70 16698.15 19397.67 19599.94 116
tfpnview1199.32 8099.16 8699.79 9999.79 11699.73 88100.00 199.71 6397.66 11299.71 146100.00 199.78 699.70 16698.15 19397.67 19599.94 116
diffmvs98.52 15598.11 16599.73 11299.59 15499.47 119100.00 199.19 24793.68 27199.70 15299.75 20395.07 18799.84 14897.57 21598.48 13999.89 141
tpmvs98.59 14898.38 15599.23 15699.69 13297.90 22199.31 30199.47 8394.52 24699.68 15399.28 25497.64 13099.89 13997.71 21198.17 16399.89 141
EPP-MVSNet99.10 10999.00 10199.40 14199.51 17498.68 16899.92 21799.43 11595.47 22899.65 154100.00 199.51 3199.76 15999.53 12598.00 16999.75 182
PVSNet_Blended_VisFu99.33 7999.18 8599.78 10799.82 9999.49 114100.00 199.95 1597.36 13999.63 155100.00 196.45 16699.95 12099.79 9199.65 11899.89 141
testmvs80.17 31981.95 32074.80 34058.54 36059.58 358100.00 187.14 36076.09 34399.61 156100.00 167.06 34674.19 35998.84 16250.30 35090.64 346
view60099.18 10298.93 11299.93 6299.81 10099.83 72100.00 199.94 1896.96 16399.54 15799.96 16096.99 151100.00 199.43 12997.75 18899.97 96
view80099.18 10298.93 11299.93 6299.81 10099.83 72100.00 199.94 1896.96 16399.54 15799.96 16096.99 151100.00 199.43 12997.75 18899.97 96
conf0.05thres100099.18 10298.93 11299.93 6299.81 10099.83 72100.00 199.94 1896.96 16399.54 15799.96 16096.99 151100.00 199.43 12997.75 18899.97 96
tfpn99.18 10298.93 11299.93 6299.81 10099.83 72100.00 199.94 1896.96 16399.54 15799.96 16096.99 151100.00 199.43 12997.75 18899.97 96
TAPA-MVS96.40 1097.64 18297.37 18798.45 19399.94 8695.70 271100.00 199.40 15597.65 11999.53 161100.00 199.31 5599.66 17380.48 335100.00 1100.00 1
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
Fast-Effi-MVS+-dtu98.38 16398.56 14797.82 24299.58 15894.44 298100.00 199.16 25596.75 17399.51 16299.63 22995.03 18999.60 17497.71 21199.67 11799.42 203
IS-MVSNet99.08 11098.91 11799.59 12499.65 14099.38 12499.78 24499.24 23396.70 17899.51 162100.00 198.44 11799.52 19698.47 18198.39 14799.88 153
TESTMET0.1,199.08 11098.96 10699.44 13699.63 14599.38 124100.00 199.45 9795.53 22299.48 164100.00 199.71 1699.02 22396.84 23599.99 8899.91 128
MIMVSNet97.06 20396.73 20298.05 23199.38 19396.64 26298.47 33999.35 19093.41 27999.48 16498.53 30389.66 26697.70 31094.16 27798.11 16699.80 178
Vis-MVSNet (Re-imp)98.99 12398.89 12199.29 15199.64 14498.89 16099.98 19399.31 20596.74 17499.48 164100.00 198.11 12299.10 21998.39 18398.34 15299.89 141
Fast-Effi-MVS+98.40 16298.02 17199.55 13199.63 14599.06 148100.00 199.15 25695.07 23399.42 16799.95 17293.26 20999.73 16297.44 22098.24 15899.87 160
test-LLR99.03 11598.91 11799.40 14199.40 18999.28 131100.00 199.45 9796.70 17899.42 16799.12 25899.31 5599.01 22496.82 23699.99 8899.91 128
test-mter98.96 12798.82 12499.40 14199.40 18999.28 131100.00 199.45 9795.44 23199.42 16799.12 25899.70 1799.01 22496.82 23699.99 8899.91 128
CSCG99.28 9099.35 7099.05 16499.99 4597.15 249100.00 199.47 8397.44 13599.42 167100.00 197.83 127100.00 199.99 45100.00 1100.00 1
MSDG98.90 13298.63 14199.70 11399.92 9199.25 135100.00 199.37 17695.71 21699.40 171100.00 196.58 16199.95 12096.80 23899.94 10399.91 128
DeepC-MVS97.84 599.00 12198.80 12799.60 12199.93 8899.03 150100.00 199.40 15598.61 4499.33 172100.00 192.23 21999.95 12099.74 9999.96 10099.83 166
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
CDS-MVSNet98.96 12798.95 11099.01 16799.48 18098.36 18299.93 21599.37 17696.79 17299.31 17399.83 19199.77 1398.91 23198.07 20197.98 17099.77 179
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
HyFIR lowres test99.32 8099.24 7799.58 12899.95 8299.26 133100.00 199.99 1096.72 17799.29 17499.91 18099.49 3799.47 20299.74 9998.08 167100.00 1
IB-MVS96.24 1297.54 18796.95 19499.33 14899.67 13698.10 209100.00 199.47 8397.42 13799.26 17599.69 21298.83 10199.89 13999.43 12978.77 334100.00 1
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
XVG-OURS98.30 16498.36 15798.13 22399.58 15895.91 269100.00 199.36 18298.69 3899.23 176100.00 191.20 24199.92 13699.34 13997.82 18298.56 212
XVG-OURS-SEG-HR98.27 16798.31 15898.14 22099.59 15495.92 268100.00 199.36 18298.48 4799.21 177100.00 189.27 27299.94 13199.76 9799.17 12298.56 212
HQP-NCC99.07 208100.00 199.04 1399.17 178
ACMP_Plane99.07 208100.00 199.04 1399.17 178
HQP4-MVS99.17 17899.57 17997.77 216
HQP-MVS97.73 17997.85 17597.39 25599.07 20894.82 282100.00 199.40 15599.04 1399.17 17899.97 15188.61 27999.57 17999.79 9195.58 21397.77 216
TR-MVS98.14 17097.74 17899.33 14899.59 15498.28 18999.27 30399.21 24496.42 19699.15 18299.94 17688.87 27799.79 15798.88 16098.29 15599.93 125
TAMVS98.76 13998.73 13298.86 17799.44 18397.69 23099.57 28199.34 19596.57 18799.12 18399.81 19798.83 10199.16 21797.97 20697.91 17399.73 190
AllTest98.55 15298.40 15498.99 16899.93 8897.35 241100.00 199.40 15597.08 15999.09 18499.98 14193.37 20699.95 12096.94 23199.84 11199.68 193
TestCases98.99 16899.93 8897.35 24199.40 15597.08 15999.09 18499.98 14193.37 20699.95 12096.94 23199.84 11199.68 193
HQP_MVS97.71 18197.82 17697.37 25699.00 22094.80 285100.00 199.40 15599.00 1999.08 18699.97 15188.58 28199.55 18899.79 9195.57 21797.76 218
plane_prior394.79 28899.03 1699.08 186
CVMVSNet98.56 15198.47 15298.82 17999.11 20497.67 23199.74 25599.47 8397.57 12999.06 188100.00 195.72 17898.97 22898.21 19197.33 20599.83 166
ab-mvs98.42 16098.02 17199.61 11899.71 13099.00 15599.10 32599.64 7296.70 17899.04 18999.81 19790.64 25199.98 9599.64 11097.93 17299.84 163
CLD-MVS97.64 18297.74 17897.36 25799.01 21694.76 290100.00 199.34 19599.30 499.00 19099.97 15187.49 28899.57 17999.96 6695.58 21397.75 222
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
GA-MVS97.72 18097.27 18999.06 16299.24 20197.93 220100.00 199.24 23395.80 21598.99 19199.64 22589.77 26599.36 21195.12 26297.62 20299.89 141
BH-RMVSNet98.46 15898.08 16799.59 12499.61 14999.19 141100.00 199.28 21997.06 16198.95 192100.00 188.99 27599.82 15298.83 164100.00 199.77 179
OPM-MVS97.21 19497.18 19297.32 25898.08 27394.66 292100.00 199.28 21998.65 4298.92 19399.98 14186.03 30199.56 18398.28 18995.41 21997.72 261
mvs_anonymous98.80 13898.60 14499.38 14499.57 16099.24 137100.00 199.21 24495.87 21098.92 19399.82 19496.39 16799.03 22299.13 15198.50 13799.88 153
VPA-MVSNet97.03 20596.43 21498.82 17998.64 23999.32 12899.38 29699.47 8396.73 17698.91 19598.94 28487.00 29399.40 20899.23 14689.59 29597.76 218
MVS99.22 10098.96 10699.98 1699.00 22099.95 1999.24 30699.94 1898.14 7098.88 196100.00 195.63 180100.00 199.85 83100.00 1100.00 1
VPNet96.41 23595.76 24798.33 20298.61 24098.30 18899.48 28999.45 9796.98 16298.87 19799.88 18381.57 32298.93 22999.22 14887.82 31197.76 218
LPG-MVS_test97.31 19197.32 18897.28 26098.85 23594.60 295100.00 199.37 17697.35 14098.85 19899.98 14186.66 29599.56 18399.55 11995.26 22497.70 269
LGP-MVS_train97.28 26098.85 23594.60 29599.37 17697.35 14098.85 19899.98 14186.66 29599.56 18399.55 11995.26 22497.70 269
Test_1112_low_res98.83 13698.60 14499.51 13299.69 13298.75 16499.99 17699.14 26096.81 17198.84 20099.06 26297.45 13499.89 13998.66 17097.75 18899.89 141
1112_ss98.91 13198.71 13499.51 13299.69 13298.75 16499.99 17699.15 25696.82 17098.84 200100.00 197.45 13499.89 13998.66 17097.75 18899.89 141
BH-w/o98.82 13798.81 12698.88 17699.62 14796.71 260100.00 199.28 21997.09 15798.81 202100.00 194.91 19299.96 11499.54 122100.00 199.96 107
131499.38 7499.19 8499.96 3698.88 23199.89 4999.24 30699.93 3298.88 2798.79 203100.00 197.02 142100.00 1100.00 1100.00 1100.00 1
v796.64 22496.14 22898.13 22398.18 26097.97 21799.99 17699.09 27693.62 27598.76 20499.30 25291.13 24498.70 25994.37 27290.80 27797.74 246
v14419296.40 23795.81 24398.17 21897.89 28898.11 20899.99 17699.06 29493.39 28098.75 20599.09 26090.43 25698.66 26393.10 28890.55 28197.75 222
V4296.65 22396.16 22698.11 22698.17 26298.23 19699.99 17699.09 27693.97 25898.74 20699.05 26591.09 24798.82 24395.46 25689.90 29297.27 311
v1neww96.77 21296.27 22098.26 20998.16 26398.23 196100.00 199.09 27693.94 26198.73 20799.05 26591.65 22798.82 24395.75 24890.04 28597.74 246
v7new96.77 21296.27 22098.26 20998.16 26398.23 196100.00 199.09 27693.94 26198.73 20799.05 26591.65 22798.82 24395.75 24890.04 28597.74 246
v696.77 21296.26 22298.29 20598.10 26998.27 191100.00 199.09 27693.95 26098.73 20799.06 26291.51 23498.86 24095.83 24690.04 28597.74 246
v196.66 22196.12 22998.30 20498.09 27098.33 184100.00 199.09 27693.69 27098.68 21099.04 26891.42 23898.83 24295.05 26389.99 28997.75 222
QAPM98.99 12398.66 13699.96 3699.01 21699.87 6299.88 22699.93 3297.99 8298.68 210100.00 193.17 210100.00 199.32 142100.00 1100.00 1
EI-MVSNet97.98 17597.93 17398.16 21999.11 20497.84 22799.74 25599.29 21194.39 25098.65 212100.00 197.21 13798.88 23797.62 21495.31 22297.75 222
MVSTER98.58 14998.52 14998.77 18299.65 14099.68 102100.00 199.29 21195.63 21898.65 21299.80 20099.78 698.88 23798.59 17795.31 22297.73 256
v124095.96 25995.25 26698.07 22797.91 28797.87 22599.96 20399.07 28693.24 28598.64 21498.96 28388.98 27698.61 26589.58 31590.92 27597.75 222
v114496.51 23095.97 23898.13 22397.98 28498.04 21499.99 17699.08 28493.51 27898.62 21598.98 27990.98 25098.62 26493.79 28290.79 27897.74 246
v192192096.16 25195.50 25698.14 22097.88 28997.96 21899.99 17699.07 28693.33 28298.60 21699.24 25589.37 27198.71 25891.28 29990.74 27997.75 222
v114196.66 22196.12 22998.26 20998.05 27798.28 189100.00 199.09 27693.71 26598.59 21799.04 26891.57 23198.73 25495.05 26390.00 28897.75 222
divwei89l23v2f11296.68 22096.15 22798.25 21398.03 28098.27 191100.00 199.09 27693.79 26498.59 21799.04 26891.54 23398.73 25495.29 26189.99 28997.75 222
v2v48296.70 21996.18 22498.27 20798.04 27998.39 178100.00 199.13 26594.19 25798.58 21999.08 26190.48 25598.67 26295.69 25190.44 28297.75 222
pmmvs497.17 19696.80 19998.27 20797.68 29398.64 170100.00 199.18 25194.22 25598.55 22099.71 20793.67 20398.47 27995.66 25292.57 25897.71 268
v119296.18 24895.49 25898.26 20998.01 28198.15 20699.99 17699.08 28493.36 28198.54 22198.97 28289.47 27098.89 23491.15 30190.82 27697.75 222
GBi-Net96.07 25595.80 24496.89 27699.53 16694.87 27999.18 31599.27 22693.71 26598.53 22298.81 29084.23 31098.07 30095.31 25893.60 24797.72 261
test196.07 25595.80 24496.89 27699.53 16694.87 27999.18 31599.27 22693.71 26598.53 22298.81 29084.23 31098.07 30095.31 25893.60 24797.72 261
FMVSNet397.30 19296.95 19498.37 19899.65 14099.25 13599.71 26399.28 21994.23 25498.53 22298.91 28693.30 20898.11 29495.31 25893.60 24797.73 256
XVG-ACMP-BASELINE96.60 22796.52 20996.84 28498.41 24793.29 30999.99 17699.32 20097.76 10598.51 22599.29 25381.95 32099.54 19198.40 18295.03 23597.68 276
3Dnovator95.63 1499.06 11298.76 13099.96 3698.86 23499.90 4599.98 19399.93 3298.95 2498.49 226100.00 192.91 213100.00 199.71 101100.00 1100.00 1
test_djsdf97.55 18697.38 18698.07 22797.50 30497.99 215100.00 199.13 26595.46 22998.47 22799.85 18892.01 22498.59 26998.63 17495.36 22097.62 293
ACMM97.17 697.37 18997.40 18597.29 25999.01 21694.64 294100.00 199.25 23098.07 7798.44 22899.98 14187.38 28999.55 18899.25 14595.19 22997.69 274
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
BH-untuned98.64 14698.65 13998.60 18899.59 15496.17 265100.00 199.28 21996.67 18298.41 229100.00 194.52 19599.83 15099.41 135100.00 199.81 171
DP-MVS98.86 13498.54 14899.81 9299.97 7699.45 12099.52 28699.40 15594.35 25198.36 230100.00 196.13 16999.97 9999.12 152100.00 1100.00 1
ITE_SJBPF96.84 28498.96 22693.49 30698.12 32898.12 7498.35 23199.97 15184.45 30799.56 18395.63 25395.25 22697.49 301
DSMNet-mixed95.18 27495.21 26795.08 30396.03 32190.21 32499.65 27593.64 35492.91 28998.34 23297.40 31690.05 26295.51 33591.02 30297.86 17799.51 202
IterMVS-LS97.56 18597.44 18397.92 24099.38 19397.90 22199.89 22399.10 27394.41 24998.32 23399.54 24097.21 13798.11 29497.50 21991.62 26897.75 222
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
3Dnovator+95.58 1599.03 11598.71 13499.96 3698.99 22399.89 49100.00 199.51 8098.96 2198.32 233100.00 192.78 214100.00 199.87 80100.00 1100.00 1
v896.35 24095.73 24998.21 21698.11 26898.23 19699.94 21399.07 28692.66 29198.29 23599.00 27891.46 23698.77 25094.17 27588.83 30497.62 293
CHOSEN 1792x268899.00 12198.91 11799.25 15599.90 9497.79 228100.00 199.99 1098.79 3698.28 236100.00 193.63 20499.95 12099.66 10999.95 102100.00 1
nrg03097.64 18297.27 18998.75 18398.34 24999.53 110100.00 199.22 24096.21 20598.27 23799.95 17294.40 19698.98 22799.23 14689.78 29497.75 222
MVS-HIRNet94.12 28092.73 28998.29 20599.33 19595.95 26799.38 29699.19 24774.54 34498.26 23886.34 35086.07 29999.06 22191.60 29899.87 11099.85 162
Patchmatch-test97.83 17897.42 18499.06 16299.08 20797.66 23298.66 33699.21 24493.65 27398.25 23999.58 23599.47 4099.57 17990.25 31198.59 13499.95 112
UniMVSNet (Re)97.29 19396.85 19898.59 19098.49 24599.13 144100.00 199.42 12196.52 19198.24 24098.90 28794.93 19198.89 23497.54 21887.61 31297.75 222
v5295.88 26595.35 26497.48 25297.66 29497.38 24099.88 22699.07 28692.19 29398.09 24199.02 27590.06 26198.72 25693.58 28488.61 30696.34 321
V495.89 26395.36 26397.49 25197.65 29597.40 23799.88 22699.07 28692.19 29398.08 24299.01 27690.20 25898.72 25693.57 28588.63 30596.34 321
PCF-MVS98.23 398.69 14598.37 15699.62 11799.78 12299.02 15199.23 31299.06 29496.43 19498.08 242100.00 194.72 19399.95 12098.16 19299.91 10599.90 136
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
v1096.14 25395.50 25698.07 22798.19 25997.96 21899.83 23299.07 28692.10 29598.07 24498.94 28491.07 24898.61 26592.41 29589.82 29397.63 291
PS-MVSNAJss98.03 17398.06 16997.94 23797.63 29697.33 24499.89 22399.23 23796.27 20398.03 24599.59 23498.75 10698.78 24798.52 17994.61 24297.70 269
FMVSNet296.22 24695.60 25498.06 23099.53 16698.33 18499.45 29099.27 22693.71 26598.03 24598.84 28984.23 31098.10 29793.97 28093.40 25097.73 256
OpenMVScopyleft95.20 1798.76 13998.41 15399.78 10798.89 23099.81 7899.99 17699.76 4698.02 8098.02 247100.00 191.44 237100.00 199.63 11199.97 9899.55 199
v14896.29 24395.84 24297.63 24497.74 29196.53 263100.00 199.07 28693.52 27798.01 24899.42 24891.22 24098.60 26796.37 24487.22 31497.75 222
testpf97.02 20696.87 19797.44 25499.50 17795.18 27595.70 34899.33 19791.35 30198.00 24999.22 25696.29 16898.49 27894.42 27198.07 16898.67 209
LF4IMVS96.19 24796.18 22496.23 29898.26 25592.09 318100.00 197.89 33697.82 10097.94 25099.87 18482.71 31799.38 20997.41 22293.71 24697.20 312
Patchmtry96.81 21196.37 21598.14 22099.31 19698.55 17398.91 33299.00 30290.45 30697.92 25198.98 27996.94 15598.12 29294.27 27491.53 26997.75 222
v7n96.06 25795.42 26297.99 23597.58 30197.35 24199.86 22999.11 27292.81 29097.91 25299.49 24490.99 24998.92 23092.51 29288.49 30797.70 269
FIs97.95 17697.73 18098.62 18798.53 24499.24 137100.00 199.43 11596.74 17497.87 25399.82 19495.27 18498.89 23498.78 16593.07 25397.74 246
anonymousdsp97.16 19796.88 19698.00 23397.08 31598.06 21299.81 23999.15 25694.58 24497.84 25499.62 23190.49 25498.60 26797.98 20395.32 22197.33 310
UniMVSNet_NR-MVSNet97.16 19796.80 19998.22 21498.38 24898.41 176100.00 199.45 9796.14 20697.76 25599.64 22595.05 18898.50 27697.98 20386.84 31597.75 222
DU-MVS96.93 21096.49 21098.22 21498.31 25198.41 176100.00 199.37 17696.41 19797.76 25599.65 22192.14 22098.50 27697.98 20386.84 31597.75 222
WR-MVS97.09 20096.64 20498.46 19298.43 24699.09 14599.97 20099.33 19795.62 21997.76 25599.67 21891.17 24298.56 27398.49 18089.28 29897.74 246
COLMAP_ROBcopyleft97.10 798.29 16598.17 16498.65 18699.94 8697.39 23899.30 30299.40 15595.64 21797.75 258100.00 192.69 21699.95 12098.89 15999.92 10498.62 211
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
OurMVSNet-221017-096.14 25395.98 23796.62 29197.49 30693.44 30799.92 21798.16 32695.86 21297.65 25999.95 17285.71 30498.78 24794.93 26694.18 24597.64 290
Baseline_NR-MVSNet96.16 25195.70 25097.56 24998.28 25496.79 259100.00 197.86 33791.93 29797.63 26099.47 24692.14 22098.35 28497.13 22786.83 31797.54 300
XXY-MVS97.14 19996.63 20598.67 18598.65 23898.92 15999.54 28499.29 21195.57 22197.63 26099.83 19187.79 28699.35 21298.39 18392.95 25597.75 222
FC-MVSNet-test97.84 17797.63 18298.45 19398.30 25399.05 149100.00 199.43 11596.63 18597.61 26299.82 19495.19 18698.57 27298.64 17393.05 25497.73 256
IterMVS96.76 21696.46 21397.63 24499.41 18596.89 25699.99 17699.13 26594.74 24097.59 26399.66 22089.63 26998.28 28695.71 25092.31 26197.72 261
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
semantic-postprocess97.62 24699.40 18996.83 25899.14 26094.65 24397.55 26499.72 20589.64 26898.31 28595.62 25492.05 26497.73 256
PVSNet_093.57 1996.41 23595.74 24898.41 19599.84 9895.22 274100.00 1100.00 198.08 7697.55 26499.78 20184.40 308100.00 1100.00 181.99 326100.00 1
ACMP97.00 897.19 19597.16 19397.27 26298.97 22594.58 297100.00 199.32 20097.97 8697.45 26699.98 14185.79 30399.56 18399.70 10395.24 22797.67 280
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
FMVSNet595.32 27395.43 26194.99 30599.39 19292.99 31299.25 30599.24 23390.45 30697.44 26798.45 30595.78 17594.39 33787.02 32491.88 26697.59 297
mvs_tets97.00 20796.69 20397.94 23797.41 31297.27 24599.60 27999.18 25196.51 19297.35 26899.69 21286.53 29798.91 23198.84 16295.09 23497.65 287
jajsoiax97.07 20296.79 20197.89 24197.28 31397.12 25099.95 20999.19 24796.55 18897.31 26999.69 21287.35 29198.91 23198.70 16995.12 23397.66 282
TranMVSNet+NR-MVSNet96.45 23496.01 23597.79 24398.00 28397.62 233100.00 199.35 19095.98 20897.31 26999.64 22590.09 26098.00 30596.89 23486.80 31897.75 222
FMVSNet194.45 27793.63 28196.89 27698.87 23394.87 27999.18 31599.27 22690.95 30597.31 26998.81 29072.89 34298.07 30092.61 29092.81 25697.72 261
LP95.89 26395.35 26497.51 25098.92 22895.15 27698.66 33699.39 16989.43 32097.22 27299.03 27394.37 19797.74 30983.71 33097.44 20399.63 198
CP-MVSNet96.73 21796.25 22398.18 21798.21 25898.67 16999.77 24899.32 20095.06 23497.20 27399.65 22190.10 25998.19 28798.06 20288.90 30297.66 282
v74895.47 27194.95 27497.04 26697.46 30994.76 29099.93 21599.10 27391.95 29697.11 27499.18 25789.94 26498.68 26094.01 27985.88 32197.67 280
pmmvs595.94 26095.61 25396.95 27297.42 31094.66 292100.00 198.08 33093.60 27697.05 27599.43 24787.02 29298.46 28095.76 24792.12 26397.72 261
WR-MVS_H96.73 21796.32 21997.95 23698.26 25597.88 22399.72 26199.43 11595.06 23496.99 27698.68 29693.02 21298.53 27497.43 22188.33 30897.43 304
USDC95.90 26195.70 25096.50 29398.60 24192.56 316100.00 198.30 32297.77 10396.92 27799.94 17681.25 32699.45 20493.54 28694.96 23797.49 301
DeepMVS_CXcopyleft89.98 32198.90 22971.46 34799.18 25197.61 12396.92 27799.83 19186.07 29999.83 15096.02 24597.65 20198.65 210
test0.0.03 198.12 17198.03 17098.39 19699.11 20498.07 211100.00 199.93 3296.70 17896.91 27999.95 17299.31 5598.19 28791.93 29698.44 14298.91 206
MS-PatchMatch95.66 26895.87 24195.05 30497.80 29089.25 32698.88 33399.30 20796.35 20096.86 28099.01 27681.35 32599.43 20593.30 28799.98 9596.46 319
EU-MVSNet96.63 22596.53 20896.94 27397.59 30096.87 25799.76 25199.47 8396.35 20096.85 28199.78 20192.57 21796.27 32895.33 25791.08 27497.68 276
PS-CasMVS96.34 24195.78 24698.03 23298.18 26098.27 19199.71 26399.32 20094.75 23896.82 28299.65 22186.98 29498.15 28997.74 21088.85 30397.66 282
PEN-MVS96.01 25895.48 26097.58 24897.74 29197.26 24699.90 22099.29 21194.55 24596.79 28399.55 23887.38 28997.84 30796.92 23387.24 31397.65 287
our_test_396.51 23096.35 21696.98 27197.61 29895.05 27799.98 19399.01 30194.68 24196.77 28499.06 26295.87 17398.14 29091.81 29792.37 26097.75 222
ppachtmachnet_test96.17 25095.89 24097.02 26897.61 29895.24 27399.99 17699.24 23393.31 28396.71 28599.62 23194.34 19898.07 30089.87 31392.30 26297.75 222
tfpnnormal96.36 23995.69 25298.37 19898.55 24298.71 16699.69 26999.45 9793.16 28796.69 28699.71 20788.44 28398.99 22694.17 27591.38 27197.41 305
ACMH96.25 1196.77 21296.62 20697.21 26398.96 22694.43 29999.64 27699.33 19797.43 13696.55 28799.97 15183.52 31499.54 19199.07 15495.13 23297.66 282
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
LTVRE_ROB95.29 1696.32 24296.10 23196.99 27098.55 24293.88 30399.45 29099.28 21994.50 24796.46 28899.52 24184.86 30699.48 20197.26 22595.03 23597.59 297
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
DTE-MVSNet95.52 26994.99 27397.08 26597.49 30696.45 264100.00 199.25 23093.82 26396.17 28999.57 23787.81 28597.18 31294.57 26886.26 32097.62 293
Anonymous2024052196.99 20896.48 21198.53 19198.07 27499.07 14699.76 25199.23 23794.26 25396.16 29098.68 29694.96 19098.87 23996.76 24190.41 28497.66 282
TinyColmap95.50 27095.12 27096.64 29098.69 23793.00 31199.40 29497.75 33896.40 19896.14 29199.87 18479.47 33199.50 19993.62 28394.72 24097.40 306
testgi96.18 24895.93 23996.93 27498.98 22494.20 302100.00 199.07 28697.16 15196.06 29299.86 18684.08 31397.79 30890.38 30897.80 18498.81 207
SixPastTwentyTwo95.71 26795.49 25896.38 29597.42 31093.01 31099.84 23198.23 32394.75 23895.98 29399.97 15185.35 30598.43 28194.71 26793.17 25297.69 274
pm-mvs195.76 26695.01 27298.00 23398.23 25797.45 23599.24 30699.04 29993.13 28895.93 29499.72 20586.28 29898.84 24195.62 25487.92 31097.72 261
ACMH+96.20 1396.49 23396.33 21897.00 26999.06 21293.80 30499.81 23999.31 20597.32 14395.89 29599.97 15182.62 31899.54 19198.34 18694.63 24197.65 287
N_pmnet91.88 30393.37 28487.40 32697.24 31466.33 35199.90 22091.05 35689.77 31595.65 29698.58 30290.05 26298.11 29485.39 32792.72 25797.75 222
new_pmnet94.11 28193.47 28396.04 30096.60 31892.82 31399.97 20098.91 30790.21 30895.26 29798.05 31385.89 30298.14 29084.28 32992.01 26597.16 313
MVP-Stereo96.51 23096.48 21196.60 29295.65 32594.25 30098.84 33498.16 32695.85 21495.23 29899.04 26892.54 21899.13 21892.98 28999.98 9596.43 320
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
pmmvs693.64 28292.87 28795.94 30197.47 30891.41 32398.92 33199.02 30087.84 32795.01 29999.61 23377.24 33798.77 25094.33 27386.41 31997.63 291
test12379.44 32179.23 32380.05 33680.03 35171.72 345100.00 177.93 36362.52 34894.81 30099.69 21278.21 33574.53 35892.57 29127.33 35893.90 339
test_040294.35 27893.70 28096.32 29697.92 28693.60 30599.61 27898.85 30988.19 32694.68 30199.48 24580.01 33098.58 27189.39 31895.15 23196.77 316
TransMVSNet (Re)94.78 27693.72 27997.93 23998.34 24997.88 22399.23 31297.98 33491.60 29994.55 30299.71 20787.89 28498.36 28389.30 32084.92 32297.56 299
Anonymous2023120693.45 28793.17 28594.30 31195.00 32989.69 32599.98 19398.43 32193.30 28494.50 30398.59 30190.52 25395.73 33377.46 34390.73 28097.48 303
NR-MVSNet96.63 22596.04 23498.38 19798.31 25198.98 15699.22 31499.35 19095.87 21094.43 30499.65 22192.73 21598.40 28296.78 23988.05 30997.75 222
MIMVSNet191.96 30091.20 30194.23 31394.94 33091.69 32199.34 29999.22 24088.23 32494.18 30598.45 30575.52 34093.41 34179.37 33891.49 27097.60 296
test235692.55 29893.94 27688.39 32493.49 33278.42 338100.00 199.40 15591.64 29893.93 30698.74 29491.11 24588.67 34779.37 33897.79 18598.08 214
testus91.61 30692.92 28687.70 32593.91 33174.98 342100.00 198.19 32592.59 29293.90 30798.68 29681.43 32390.77 34579.82 33797.71 19497.34 309
TDRefinement91.93 30190.48 30696.27 29781.60 34992.65 31599.10 32597.61 34193.96 25993.77 30899.85 18880.03 32999.53 19597.82 20970.59 34696.63 318
pmmvs390.62 30989.36 31094.40 31090.53 33891.49 322100.00 196.73 34784.21 33693.65 30996.65 31882.56 31994.83 33682.28 33277.62 33896.89 315
UnsupCasMVSNet_eth94.25 27993.89 27795.34 30297.63 29692.13 31799.73 25999.36 18294.88 23792.78 31098.63 30082.72 31696.53 31894.57 26884.73 32397.36 307
test20.0393.11 29492.85 28893.88 31695.19 32891.83 319100.00 198.87 30893.68 27192.76 31198.88 28889.20 27392.71 34277.88 34189.19 29997.09 314
LCM-MVSNet-Re96.52 22997.21 19194.44 30999.27 19985.80 33199.85 23096.61 34995.98 20892.75 31298.48 30493.97 20197.55 31199.58 11798.43 14399.98 91
K. test v395.46 27295.14 26996.40 29497.53 30393.40 30899.99 17699.23 23795.49 22792.70 31399.73 20484.26 30998.12 29293.94 28193.38 25197.68 276
lessismore_v096.05 29997.55 30291.80 32099.22 24091.87 31499.91 18083.50 31598.68 26092.48 29390.42 28397.68 276
Patchmatch-RL test93.49 28593.63 28193.05 31791.78 33483.41 33498.21 34196.95 34591.58 30091.05 31597.64 31599.40 4895.83 33294.11 27881.95 32799.91 128
ambc88.45 32286.84 34470.76 34897.79 34598.02 33390.91 31695.14 33638.69 35698.51 27594.97 26584.23 32496.09 325
PM-MVS88.39 31387.41 31591.31 31991.73 33582.02 33699.79 24396.62 34891.06 30490.71 31795.73 32448.60 35395.96 33090.56 30581.91 32895.97 326
OpenMVS_ROBcopyleft88.34 2091.89 30291.12 30294.19 31495.55 32687.63 32999.26 30498.03 33186.61 32990.65 31896.82 31770.14 34598.78 24786.54 32696.50 21296.15 323
DI_MVS_plusplus_test96.28 24495.16 26899.61 11896.01 32299.18 142100.00 199.29 21196.49 19389.08 31998.42 30880.06 32799.90 13798.74 16898.39 14799.75 182
v1793.53 28492.42 29196.88 28098.09 27098.16 20499.83 23298.74 31189.95 31289.05 32095.65 32591.99 22596.54 31590.31 30978.15 33795.95 327
EG-PatchMatch MVS92.94 29592.49 29094.29 31295.87 32487.07 33099.07 32998.11 32993.19 28688.98 32198.66 29970.89 34499.08 22092.43 29495.21 22896.72 317
test_normal96.24 24595.12 27099.60 12196.00 32399.16 143100.00 199.29 21196.43 19488.96 32298.40 30980.06 32799.90 13798.53 17898.39 14799.75 182
v1893.55 28392.42 29196.91 27598.12 26698.26 19499.83 23298.74 31189.99 31188.94 32395.64 32692.02 22396.54 31590.27 31078.26 33595.94 329
v1693.48 28692.34 29396.89 27698.13 26598.19 20299.82 23798.74 31189.94 31388.90 32495.62 32791.65 22796.54 31590.03 31278.22 33695.95 327
v1193.14 29391.93 30096.77 28998.01 28198.17 20399.72 26198.74 31189.39 32188.81 32595.49 33091.15 24396.29 32686.78 32579.25 33295.86 336
v1593.28 28892.08 29496.87 28198.07 27498.22 20099.82 23798.74 31189.83 31488.74 32695.44 33191.55 23296.47 31989.70 31476.87 33995.93 330
V1493.24 28992.04 29596.87 28198.07 27498.20 20199.80 24298.74 31189.76 31688.64 32795.53 32891.47 23596.47 31989.49 31676.84 34095.92 331
V993.20 29091.99 29796.85 28398.05 27798.16 20499.77 24898.73 31789.67 31788.64 32795.44 33191.34 23996.47 31989.46 31776.79 34195.92 331
v1393.18 29191.97 29896.81 28698.12 26698.12 20799.74 25598.73 31789.47 31988.52 32995.40 33591.72 22696.41 32289.23 32276.77 34295.92 331
v1293.18 29191.97 29896.80 28798.09 27098.10 20999.76 25198.73 31789.61 31888.45 33095.41 33491.63 23096.39 32489.32 31976.76 34395.91 334
pmmvs-eth3d91.73 30490.67 30594.92 30791.63 33692.71 31499.90 22098.54 32091.19 30388.08 33195.50 32979.31 33396.13 32990.55 30681.32 32995.91 334
new-patchmatchnet90.30 31089.46 30992.84 31890.77 33788.55 32899.83 23298.80 31090.07 31087.86 33295.00 33878.77 33494.30 33884.86 32879.15 33395.68 338
UnsupCasMVSNet_bld89.50 31188.00 31493.99 31595.30 32788.86 32798.52 33899.28 21985.50 33387.80 33394.11 34061.63 34796.96 31390.63 30479.26 33196.15 323
Anonymous2023121184.35 31882.41 31990.15 32089.14 33978.88 33798.71 33598.22 32470.20 34686.88 33495.44 33147.11 35595.72 33481.14 33374.88 34495.84 337
test123567888.02 31488.73 31285.90 33087.57 34371.70 346100.00 197.42 34287.52 32886.19 33596.39 32081.60 32187.93 34870.72 34691.18 27398.08 214
Gipumacopyleft84.73 31783.50 31888.40 32397.50 30482.21 33588.87 35199.05 29665.81 34785.71 33690.49 34553.70 34996.31 32578.64 34091.74 26786.67 350
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
CMPMVSbinary66.12 2290.65 30892.04 29586.46 32896.18 32066.87 35098.03 34299.38 17383.38 33885.49 33799.55 23877.59 33698.80 24694.44 27094.31 24493.72 341
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
test1235686.30 31587.15 31683.77 33484.24 34672.00 34499.94 21396.80 34684.63 33585.16 33896.51 31977.02 33886.31 35170.06 34789.93 29193.00 343
PMMVS279.15 32277.28 32484.76 33382.34 34872.66 34399.70 26595.11 35371.68 34584.78 33990.87 34432.05 35889.99 34675.53 34463.45 34791.64 344
111188.62 31289.13 31187.08 32787.71 34177.22 33999.96 20397.71 33985.51 33183.47 34096.26 32295.76 17690.96 34366.63 34989.17 30093.07 342
.test124585.18 31684.81 31786.28 32987.71 34177.22 33999.96 20397.71 33985.51 33183.47 34096.26 32295.76 17690.96 34366.63 34950.30 35090.64 346
Test492.63 29690.45 30799.17 15992.81 33399.02 15199.98 19399.13 26596.60 18682.04 34296.27 32151.35 35198.75 25397.55 21698.36 15199.75 182
LCM-MVSNet79.01 32376.93 32585.27 33278.28 35268.01 34996.57 34698.03 33155.10 35282.03 34393.27 34231.99 35993.95 33982.72 33174.37 34593.84 340
testmv79.83 32079.77 32179.99 33778.22 35363.55 35499.67 27295.51 35280.89 34076.24 34492.90 34352.16 35086.10 35262.45 35279.90 33090.33 348
testing_290.79 30788.26 31398.35 20089.11 34098.56 17299.70 26599.14 26093.70 26973.80 34594.06 34155.19 34898.76 25297.17 22692.50 25997.74 246
FPMVS77.92 32479.45 32273.34 34276.87 35446.81 36198.24 34099.05 29659.89 35173.55 34698.34 31136.81 35786.55 34980.96 33491.35 27286.65 351
E-PMN70.72 32770.06 32872.69 34483.92 34765.48 35399.95 20992.72 35549.88 35572.30 34786.26 35147.17 35477.43 35653.83 35644.49 35275.17 358
EMVS69.88 32969.09 32972.24 34584.70 34565.82 35299.96 20387.08 36149.82 35671.51 34884.74 35249.30 35275.32 35750.97 35743.71 35375.59 357
YYNet192.44 29990.92 30497.03 26796.20 31997.06 25399.99 17699.14 26088.21 32567.93 34998.43 30788.63 27896.28 32790.64 30389.08 30197.74 246
MDA-MVSNet_test_wron92.61 29791.09 30397.19 26496.71 31797.26 246100.00 199.14 26088.61 32367.90 35098.32 31289.03 27496.57 31490.47 30789.59 29597.74 246
tmp_tt75.80 32574.26 32680.43 33552.91 36253.67 36087.42 35397.98 33461.80 34967.04 351100.00 176.43 33996.40 32396.47 24328.26 35791.23 345
MDA-MVSNet-bldmvs91.65 30589.94 30896.79 28896.72 31696.70 26199.42 29398.94 30488.89 32266.97 35298.37 31081.43 32395.91 33189.24 32189.46 29797.75 222
no-one74.65 32671.03 32785.51 33180.99 35075.42 34199.70 26597.15 34381.02 33966.48 35380.55 35729.10 36093.65 34073.74 34530.53 35687.47 349
MVEpermissive68.59 2167.22 33064.68 33274.84 33974.67 35762.32 35695.84 34790.87 35750.98 35458.72 35481.05 35512.20 36678.95 35561.06 35456.75 34983.24 354
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
PNet_i23d69.93 32867.61 33076.86 33875.89 35562.08 35797.85 34388.23 35861.04 35055.65 35584.10 35319.35 36283.21 35366.45 35159.98 34885.29 353
ANet_high66.05 33163.44 33373.88 34161.14 35963.45 35595.68 34987.18 35979.93 34147.35 35680.68 35622.35 36172.33 36061.24 35335.42 35585.88 352
wuykxyi23d62.75 33359.23 33473.34 34261.53 35859.39 35993.28 35086.17 36253.70 35346.89 35777.89 35812.35 36379.96 35460.86 35540.35 35480.68 356
PMVScopyleft60.66 2365.98 33265.05 33168.75 34655.06 36138.40 36288.19 35296.98 34448.30 35744.82 35888.52 34812.22 36586.49 35067.58 34883.79 32581.35 355
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
wuyk23d28.28 33529.73 33723.92 34875.89 35532.61 36366.50 35412.88 36416.09 35814.59 35916.59 36012.35 36332.36 36139.36 35813.36 3596.79 359
cdsmvs_eth3d_5k24.41 33632.55 3360.00 3490.00 3630.00 3640.00 35599.39 1690.00 3590.00 360100.00 193.55 2050.00 3620.00 3590.00 3600.00 360
pcd_1.5k_mvsjas8.24 33810.99 3390.00 3490.00 3630.00 3640.00 3550.00 3650.00 3590.00 3600.14 36198.75 1060.00 3620.00 3590.00 3600.00 360
pcd1.5k->3k40.07 33442.58 33532.57 34797.97 2850.00 3640.00 35599.25 2300.00 3590.00 3600.14 36191.10 2460.00 3620.00 35994.75 23897.70 269
sosnet-low-res0.01 3390.02 3400.00 3490.00 3630.00 3640.00 3550.00 3650.00 3590.00 3600.14 3610.00 3670.00 3620.00 3590.00 3600.00 360
sosnet0.01 3390.02 3400.00 3490.00 3630.00 3640.00 3550.00 3650.00 3590.00 3600.14 3610.00 3670.00 3620.00 3590.00 3600.00 360
uncertanet0.01 3390.02 3400.00 3490.00 3630.00 3640.00 3550.00 3650.00 3590.00 3600.14 3610.00 3670.00 3620.00 3590.00 3600.00 360
Regformer0.01 3390.02 3400.00 3490.00 3630.00 3640.00 3550.00 3650.00 3590.00 3600.14 3610.00 3670.00 3620.00 3590.00 3600.00 360
ab-mvs-re8.33 33711.11 3380.00 3490.00 3630.00 3640.00 3550.00 3650.00 3590.00 360100.00 10.00 3670.00 3620.00 3590.00 3600.00 360
uanet0.01 3390.02 3400.00 3490.00 3630.00 3640.00 3550.00 3650.00 3590.00 3600.14 3610.00 3670.00 3620.00 3590.00 3600.00 360
GSMVS99.91 128
test_part3100.00 198.23 64100.00 1100.00 1100.00 1
test_part199.42 12199.53 26100.00 1100.00 1
sam_mvs199.29 6299.91 128
sam_mvs99.33 51
MTGPAbinary99.42 121
test_post199.32 30088.24 34999.33 5199.59 17698.31 187
test_post89.05 34799.49 3799.59 176
patchmatchnet-post97.79 31499.41 4799.54 191
MTMP99.18 251
gm-plane-assit99.52 17197.26 24695.86 212100.00 199.43 20598.76 167
test9_res100.00 1100.00 1100.00 1
agg_prior2100.00 1100.00 1100.00 1
test_prior499.93 33100.00 1
test_prior99.90 72100.00 199.75 8599.73 5599.97 99100.00 1
新几何2100.00 1
旧先验199.99 4599.88 5999.82 41100.00 199.27 66100.00 1100.00 1
无先验100.00 199.80 4397.98 84100.00 199.33 140100.00 1
原ACMM2100.00 1
testdata2100.00 197.36 224
segment_acmp99.55 24
testdata1100.00 198.77 37
plane_prior799.00 22094.78 289
plane_prior699.06 21294.80 28588.58 281
plane_prior599.40 15599.55 18899.79 9195.57 21797.76 218
plane_prior499.97 151
plane_prior2100.00 199.00 19
plane_prior199.02 215
plane_prior94.80 285100.00 199.03 1695.58 213
n20.00 365
nn0.00 365
door-mid96.32 350
test1199.42 121
door96.13 351
HQP5-MVS94.82 282
BP-MVS99.79 91
HQP3-MVS99.40 15595.58 213
HQP2-MVS88.61 279
NP-MVS99.07 20894.81 28499.97 151
ACMMP++_ref94.58 243
ACMMP++95.17 230
Test By Simon99.10 79