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 bysorted bysort bysort bysort bysort bysort bysort bysort by
Regformer-286.63 4186.53 4086.95 4689.33 11671.24 5988.43 11192.05 7882.50 186.88 2790.09 11374.45 2295.61 5584.38 3590.63 8494.01 37
UA-Net85.08 6384.96 6185.45 7092.07 6868.07 12289.78 7590.86 12182.48 284.60 5393.20 5269.35 6895.22 7171.39 14690.88 8293.07 81
Regformer-186.41 4586.33 4186.64 5389.33 11670.93 6588.43 11191.39 10782.14 386.65 2990.09 11374.39 2595.01 8183.97 4290.63 8493.97 39
CANet86.45 4286.10 4787.51 3590.09 9670.94 6489.70 7892.59 6181.78 481.32 9591.43 8670.34 5897.23 684.26 3793.36 5994.37 22
Regformer-485.68 5385.45 5286.35 5788.95 13369.67 8588.29 12191.29 10981.73 585.36 3790.01 11572.62 3995.35 6983.28 4787.57 11894.03 35
NCCC88.06 1388.01 1788.24 794.41 1873.62 891.22 4492.83 5181.50 685.79 3593.47 4873.02 3797.00 1184.90 2794.94 3694.10 31
EPNet83.72 7282.92 7986.14 6384.22 23069.48 8991.05 4685.27 23681.30 776.83 15991.65 7766.09 9695.56 5776.00 10893.85 5793.38 68
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
Regformer-385.23 5985.07 5985.70 6888.95 13369.01 9788.29 12189.91 14880.95 885.01 4190.01 11572.45 4094.19 11082.50 5687.57 11893.90 43
CNVR-MVS88.93 789.13 788.33 494.77 773.82 690.51 5493.00 4180.90 988.06 2094.06 3776.43 996.84 1388.48 895.99 1194.34 24
3Dnovator+77.84 485.48 5484.47 6788.51 391.08 7973.49 1493.18 793.78 1780.79 1076.66 16493.37 4960.40 17196.75 1877.20 9693.73 5895.29 2
TranMVSNet+NR-MVSNet80.84 11680.31 11482.42 17187.85 16862.33 22287.74 13791.33 10880.55 1177.99 13889.86 11765.23 10592.62 17467.05 18675.24 27092.30 104
MSP-MVS89.51 289.91 388.30 694.28 2273.46 1592.90 1294.11 780.27 1291.35 794.16 3378.35 696.77 1689.59 194.22 5594.67 13
HPM-MVS++copyleft89.02 689.15 688.63 195.01 576.03 192.38 2292.85 5080.26 1387.78 2294.27 2875.89 1296.81 1587.45 1396.44 393.05 82
UniMVSNet_NR-MVSNet81.88 9881.54 9782.92 15588.46 15163.46 20487.13 15092.37 6880.19 1478.38 12889.14 13671.66 4893.05 16370.05 15776.46 24692.25 106
SteuartSystems-ACMMP88.72 888.86 888.32 592.14 6772.96 2393.73 393.67 1880.19 1488.10 1994.80 1173.76 3197.11 787.51 1295.82 1694.90 6
Skip Steuart: Steuart Systems R&D Blog.
EI-MVSNet-Vis-set84.19 6883.81 6985.31 7288.18 15867.85 12587.66 13889.73 15380.05 1682.95 7489.59 12570.74 5594.82 9080.66 7084.72 15393.28 73
ETV-MVS84.90 6684.67 6585.59 6989.39 11468.66 11188.74 10492.64 6079.97 1784.10 6185.71 22669.32 6995.38 6580.82 6791.37 7692.72 90
EI-MVSNet-UG-set83.81 7083.38 7285.09 8087.87 16767.53 12987.44 14489.66 15479.74 1882.23 8489.41 13470.24 6094.74 9379.95 7483.92 16192.99 86
zzz-MVS87.53 2287.41 2587.90 1894.18 2774.25 290.23 6392.02 7979.45 1985.88 3294.80 1168.07 7696.21 3586.69 1895.34 2893.23 74
MTAPA87.23 3187.00 3287.90 1894.18 2774.25 286.58 16992.02 7979.45 1985.88 3294.80 1168.07 7696.21 3586.69 1895.34 2893.23 74
XVS87.18 3286.91 3588.00 1294.42 1673.33 1792.78 1392.99 4379.14 2183.67 6894.17 3267.45 8396.60 2683.06 4994.50 4794.07 33
X-MVStestdata80.37 13377.83 16688.00 1294.42 1673.33 1792.78 1392.99 4379.14 2183.67 6812.47 34467.45 8396.60 2683.06 4994.50 4794.07 33
HQP_MVS83.64 7383.14 7485.14 7890.08 9768.71 10791.25 4292.44 6479.12 2378.92 11991.00 9860.42 16995.38 6578.71 8186.32 13991.33 129
plane_prior291.25 4279.12 23
IS-MVSNet83.15 8182.81 8084.18 10989.94 10063.30 20891.59 3588.46 19279.04 2579.49 11292.16 6865.10 10694.28 10367.71 17691.86 7194.95 5
DU-MVS81.12 11280.52 11082.90 15687.80 17063.46 20487.02 15491.87 9079.01 2678.38 12889.07 13865.02 10793.05 16370.05 15776.46 24692.20 108
NR-MVSNet80.23 13579.38 13282.78 16587.80 17063.34 20786.31 17591.09 11679.01 2672.17 23389.07 13867.20 8692.81 17366.08 19375.65 25892.20 108
DELS-MVS85.41 5785.30 5685.77 6788.49 14967.93 12485.52 19993.44 2678.70 2883.63 7089.03 14074.57 2195.71 5480.26 7394.04 5693.66 53
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
WR-MVS79.49 14879.22 13780.27 21588.79 14158.35 26185.06 20488.61 19078.56 2977.65 14388.34 15763.81 11590.66 23264.98 20377.22 23491.80 120
plane_prior368.60 11278.44 3078.92 119
UniMVSNet (Re)81.60 10481.11 10283.09 14688.38 15464.41 18587.60 13993.02 4078.42 3178.56 12488.16 16269.78 6493.26 15169.58 16376.49 24591.60 121
test_0728_THIRD78.38 3292.12 495.78 481.46 297.40 289.42 296.57 294.67 13
SD-MVS88.06 1388.50 1286.71 5292.60 6372.71 2791.81 3493.19 3477.87 3390.32 994.00 3874.83 2093.78 13087.63 1194.27 5493.65 58
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
casdiffmvs85.11 6285.14 5885.01 8287.20 18965.77 15987.75 13692.83 5177.84 3484.36 5892.38 6672.15 4393.93 12381.27 6390.48 8695.33 1
CP-MVSNet78.22 17778.34 15477.84 25587.83 16954.54 30687.94 13291.17 11377.65 3573.48 21888.49 15362.24 13988.43 26662.19 22274.07 27890.55 154
plane_prior68.71 10790.38 6077.62 3686.16 142
baseline84.93 6484.98 6084.80 9187.30 18765.39 16687.30 14792.88 4877.62 3684.04 6392.26 6771.81 4593.96 11781.31 6290.30 8895.03 4
VDD-MVS83.01 8582.36 8684.96 8491.02 8166.40 14788.91 9588.11 19577.57 3884.39 5793.29 5152.19 22693.91 12477.05 9888.70 10794.57 18
MP-MVScopyleft87.71 1987.64 2187.93 1794.36 2173.88 492.71 1792.65 5977.57 3883.84 6594.40 2672.24 4296.28 3385.65 2295.30 3293.62 60
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
PEN-MVS77.73 19177.69 17377.84 25587.07 19253.91 31087.91 13491.18 11277.56 4073.14 22288.82 14461.23 15589.17 25359.95 24172.37 29090.43 158
OPM-MVS83.50 7582.95 7885.14 7888.79 14170.95 6389.13 9191.52 10177.55 4180.96 10291.75 7560.71 16394.50 9979.67 7786.51 13789.97 182
DeepPCF-MVS80.84 188.10 1188.56 1186.73 5192.24 6569.03 9589.57 8093.39 2977.53 4289.79 1094.12 3578.98 596.58 2885.66 2195.72 2194.58 16
PS-CasMVS78.01 18678.09 15977.77 25787.71 17454.39 30888.02 12891.22 11077.50 4373.26 22088.64 14860.73 16288.41 26761.88 22673.88 28290.53 155
MSLP-MVS++85.43 5685.76 5184.45 9991.93 7070.24 7390.71 5092.86 4977.46 4484.22 5992.81 6467.16 8792.94 16780.36 7194.35 5290.16 166
DVP-MVS89.60 190.35 187.33 4095.27 271.25 5793.49 592.73 5577.33 4592.12 495.78 480.98 397.40 289.08 496.41 493.33 71
test072695.27 271.25 5793.60 494.11 777.33 4592.81 195.79 380.98 3
3Dnovator76.31 583.38 7982.31 8786.59 5587.94 16672.94 2690.64 5192.14 7677.21 4775.47 18792.83 6258.56 17894.72 9473.24 13292.71 6592.13 111
WR-MVS_H78.51 17278.49 14978.56 24588.02 16456.38 29388.43 11192.67 5777.14 4873.89 21687.55 17566.25 9489.24 25258.92 25173.55 28590.06 176
DeepC-MVS79.81 287.08 3586.88 3687.69 3091.16 7872.32 4290.31 6193.94 1477.12 4982.82 7894.23 3172.13 4497.09 884.83 3095.37 2793.65 58
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
FC-MVSNet-test81.52 10582.02 9180.03 21888.42 15355.97 29887.95 13193.42 2877.10 5077.38 14890.98 10069.96 6291.79 20268.46 17284.50 15592.33 102
DTE-MVSNet76.99 20376.80 18977.54 26286.24 20253.06 31487.52 14190.66 12477.08 5172.50 22888.67 14760.48 16889.52 24757.33 26770.74 30190.05 177
LFMVS81.82 10081.23 10083.57 12891.89 7163.43 20689.84 7181.85 27977.04 5283.21 7193.10 5452.26 22593.43 14771.98 14189.95 9593.85 45
UGNet80.83 11879.59 12784.54 9688.04 16368.09 12189.42 8188.16 19476.95 5376.22 17489.46 13049.30 26393.94 12068.48 17190.31 8791.60 121
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
FIs82.07 9582.42 8381.04 20188.80 14058.34 26288.26 12393.49 2476.93 5478.47 12791.04 9569.92 6392.34 18569.87 16084.97 15092.44 100
GST-MVS87.42 2687.26 2787.89 2194.12 2972.97 2292.39 2193.43 2776.89 5584.68 5093.99 3970.67 5696.82 1484.18 4095.01 3493.90 43
mPP-MVS86.67 4086.32 4287.72 2694.41 1873.55 1092.74 1592.22 7276.87 5682.81 7994.25 3066.44 9296.24 3482.88 5394.28 5393.38 68
ZNCC-MVS87.94 1787.85 1888.20 894.39 2073.33 1793.03 1093.81 1676.81 5785.24 3994.32 2771.76 4696.93 1285.53 2395.79 1794.32 25
VPNet78.69 16878.66 14578.76 24288.31 15655.72 30084.45 22186.63 22276.79 5878.26 13190.55 10559.30 17489.70 24566.63 18877.05 23690.88 141
HFP-MVS87.58 2187.47 2387.94 1494.58 1073.54 1293.04 893.24 3176.78 5984.91 4494.44 2270.78 5396.61 2484.53 3394.89 3893.66 53
ACMMPR87.44 2487.23 2988.08 1094.64 873.59 993.04 893.20 3376.78 5984.66 5194.52 1768.81 7496.65 2184.53 3394.90 3794.00 38
ACMMPcopyleft85.89 5085.39 5387.38 3993.59 3972.63 3192.74 1593.18 3576.78 5980.73 10493.82 4264.33 11096.29 3282.67 5590.69 8393.23 74
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
region2R87.42 2687.20 3088.09 994.63 973.55 1093.03 1093.12 3676.73 6284.45 5494.52 1769.09 7196.70 1984.37 3694.83 4194.03 35
canonicalmvs85.91 4985.87 5086.04 6589.84 10269.44 9390.45 5993.00 4176.70 6388.01 2191.23 8873.28 3393.91 12481.50 6188.80 10594.77 11
CP-MVS87.11 3386.92 3487.68 3194.20 2673.86 593.98 192.82 5476.62 6483.68 6794.46 2167.93 7895.95 4784.20 3994.39 5093.23 74
DeepC-MVS_fast79.65 386.91 3686.62 3987.76 2393.52 4072.37 4091.26 4193.04 3776.62 6484.22 5993.36 5071.44 4996.76 1780.82 6795.33 3094.16 29
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
CS-MVS84.76 6784.61 6685.22 7789.66 10466.43 14690.23 6393.56 2176.52 6682.59 8285.93 22070.41 5795.80 5079.93 7692.68 6693.42 67
TSAR-MVS + GP.85.71 5285.33 5486.84 4891.34 7672.50 3489.07 9287.28 21576.41 6785.80 3490.22 11174.15 3095.37 6881.82 5991.88 7092.65 95
HQP-NCC89.33 11689.17 8676.41 6777.23 153
ACMP_Plane89.33 11689.17 8676.41 6777.23 153
HQP-MVS82.61 8982.02 9184.37 10189.33 11666.98 13989.17 8692.19 7476.41 6777.23 15390.23 11060.17 17295.11 7577.47 9385.99 14491.03 136
CANet_DTU80.61 12679.87 12082.83 15985.60 21063.17 21387.36 14588.65 18876.37 7175.88 18188.44 15553.51 21693.07 16273.30 13089.74 9792.25 106
VNet82.21 9282.41 8481.62 18490.82 8560.93 23884.47 21889.78 15076.36 7284.07 6291.88 7464.71 10990.26 23570.68 15188.89 10393.66 53
Vis-MVSNetpermissive83.46 7682.80 8185.43 7190.25 9368.74 10590.30 6290.13 14276.33 7380.87 10392.89 6061.00 16094.20 10972.45 13990.97 8093.35 70
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
ACMMP_NAP88.05 1588.08 1687.94 1493.70 3573.05 2090.86 4793.59 2076.27 7488.14 1895.09 1071.06 5196.67 2087.67 1096.37 694.09 32
alignmvs85.48 5485.32 5585.96 6689.51 11069.47 9089.74 7692.47 6376.17 7587.73 2391.46 8570.32 5993.78 13081.51 6088.95 10294.63 15
MVS_111021_HR85.14 6184.75 6486.32 6091.65 7372.70 2885.98 18490.33 13676.11 7682.08 8591.61 8071.36 5094.17 11281.02 6492.58 6792.08 112
HPM-MVScopyleft87.11 3386.98 3387.50 3693.88 3272.16 4392.19 2893.33 3076.07 7783.81 6693.95 4069.77 6596.01 4485.15 2594.66 4394.32 25
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
DPE-MVS89.48 389.98 288.01 1194.80 672.69 2991.59 3594.10 975.90 7892.29 295.66 681.67 197.38 487.44 1496.34 793.95 40
CLD-MVS82.31 9181.65 9684.29 10688.47 15067.73 12885.81 19092.35 6975.78 7978.33 13086.58 20764.01 11394.35 10176.05 10787.48 12390.79 143
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
xxxxxxxxxxxxxcwj88.46 988.74 987.64 3292.78 5571.95 4792.40 1894.74 275.71 8089.16 1195.10 875.65 1496.19 3787.07 1596.01 994.79 8
xxxxxxxxxxxx88.46 988.74 987.64 3292.78 5571.95 4792.40 1894.74 275.71 8089.16 1195.10 875.65 1496.19 3787.07 1596.01 994.79 8
testdata184.14 22875.71 80
APDe-MVS89.15 489.63 487.73 2494.49 1471.69 5393.83 293.96 1375.70 8391.06 896.03 176.84 897.03 989.09 395.65 2494.47 20
VPA-MVSNet80.60 12780.55 10980.76 20688.07 16260.80 24186.86 15991.58 10075.67 8480.24 10789.45 13263.34 11790.25 23670.51 15379.22 22091.23 132
PGM-MVS86.68 3986.27 4387.90 1894.22 2573.38 1690.22 6593.04 3775.53 8583.86 6494.42 2567.87 8096.64 2282.70 5494.57 4693.66 53
Effi-MVS+83.62 7483.08 7585.24 7588.38 15467.45 13088.89 9689.15 17075.50 8682.27 8388.28 15969.61 6694.45 10077.81 9087.84 11693.84 47
test_prior386.73 3786.86 3786.33 5892.61 6169.59 8688.85 9892.97 4675.41 8784.91 4493.54 4374.28 2795.48 5983.31 4495.86 1493.91 41
test_prior288.85 9875.41 8784.91 4493.54 4374.28 2783.31 4495.86 14
LPG-MVS_test82.08 9481.27 9984.50 9789.23 12468.76 10390.22 6591.94 8675.37 8976.64 16591.51 8254.29 20994.91 8478.44 8383.78 16289.83 187
LGP-MVS_train84.50 9789.23 12468.76 10391.94 8675.37 8976.64 16591.51 8254.29 20994.91 8478.44 8383.78 16289.83 187
#test#87.33 2987.13 3187.94 1494.58 1073.54 1292.34 2493.24 3175.23 9184.91 4494.44 2270.78 5396.61 2483.75 4394.89 3893.66 53
MG-MVS83.41 7783.45 7183.28 13692.74 5862.28 22488.17 12689.50 15875.22 9281.49 9492.74 6566.75 8895.11 7572.85 13591.58 7392.45 99
LCM-MVSNet-Re77.05 20276.94 18677.36 26387.20 18951.60 31880.06 27380.46 29275.20 9367.69 27586.72 19662.48 13388.98 25763.44 21189.25 10191.51 124
MP-MVS-pluss87.67 2087.72 2087.54 3493.64 3872.04 4689.80 7493.50 2375.17 9486.34 3095.29 770.86 5296.00 4588.78 696.04 894.58 16
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
Effi-MVS+-dtu80.03 13978.57 14884.42 10085.13 21868.74 10588.77 10188.10 19674.99 9574.97 20683.49 26257.27 18993.36 14873.53 12580.88 19791.18 133
mvs-test180.88 11479.40 13185.29 7385.13 21869.75 8489.28 8388.10 19674.99 9576.44 17086.72 19657.27 18994.26 10873.53 12583.18 17391.87 116
OMC-MVS82.69 8781.97 9384.85 8888.75 14367.42 13187.98 12990.87 12074.92 9779.72 11091.65 7762.19 14093.96 11775.26 11486.42 13893.16 79
nrg03083.88 6983.53 7084.96 8486.77 19769.28 9490.46 5892.67 5774.79 9882.95 7491.33 8772.70 3893.09 16180.79 6979.28 21992.50 98
SMA-MVS89.08 589.23 588.61 294.25 2373.73 792.40 1893.63 1974.77 9992.29 295.97 274.28 2797.24 588.58 796.91 194.87 7
testtj87.78 1887.78 1987.77 2294.55 1272.47 3692.23 2793.49 2474.75 10088.33 1794.43 2473.27 3497.02 1084.18 4094.84 4093.82 48
MVS_111021_LR82.61 8982.11 8884.11 11088.82 13871.58 5485.15 20286.16 22974.69 10180.47 10691.04 9562.29 13790.55 23380.33 7290.08 9390.20 165
EIA-MVS83.31 8082.80 8184.82 8989.59 10665.59 16188.21 12492.68 5674.66 10278.96 11786.42 21269.06 7295.26 7075.54 11390.09 9293.62 60
TSAR-MVS + MP.88.02 1688.11 1587.72 2693.68 3772.13 4491.41 4092.35 6974.62 10388.90 1393.85 4175.75 1396.00 4587.80 994.63 4495.04 3
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
SR-MVS86.73 3786.67 3886.91 4794.11 3072.11 4592.37 2392.56 6274.50 10486.84 2894.65 1567.31 8595.77 5284.80 3192.85 6392.84 89
ETH3D-3000-0.188.09 1288.29 1387.50 3692.76 5771.89 5191.43 3994.70 474.47 10588.86 1494.61 1675.23 1795.84 4986.62 2095.92 1394.78 10
ACMP74.13 681.51 10780.57 10884.36 10289.42 11268.69 11089.97 7091.50 10574.46 10675.04 20590.41 10753.82 21494.54 9677.56 9282.91 17689.86 186
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
EPP-MVSNet83.40 7883.02 7784.57 9590.13 9564.47 18492.32 2590.73 12374.45 10779.35 11491.10 9269.05 7395.12 7472.78 13687.22 12694.13 30
save fliter93.80 3372.35 4190.47 5791.17 11374.31 108
MVS_Test83.15 8183.06 7683.41 13386.86 19363.21 21086.11 18292.00 8274.31 10882.87 7689.44 13370.03 6193.21 15277.39 9588.50 11293.81 49
UniMVSNet_ETH3D79.10 15978.24 15781.70 18386.85 19460.24 24887.28 14888.79 18374.25 11076.84 15890.53 10649.48 26091.56 20867.98 17482.15 18593.29 72
IterMVS-LS80.06 13879.38 13282.11 17585.89 20563.20 21186.79 16289.34 16174.19 11175.45 19086.72 19666.62 8992.39 18272.58 13776.86 23990.75 145
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
EI-MVSNet80.52 13079.98 11882.12 17484.28 22863.19 21286.41 17288.95 18074.18 11278.69 12187.54 17666.62 8992.43 18072.57 13880.57 20390.74 146
Vis-MVSNet (Re-imp)78.36 17578.45 15078.07 25388.64 14551.78 31786.70 16679.63 30074.14 11375.11 20290.83 10161.29 15489.75 24358.10 26091.60 7292.69 93
v879.97 14179.02 14082.80 16284.09 23264.50 18387.96 13090.29 13974.13 11475.24 19986.81 19362.88 12893.89 12674.39 11875.40 26590.00 178
CSCG86.41 4586.19 4587.07 4592.91 5172.48 3590.81 4893.56 2173.95 11583.16 7391.07 9475.94 1195.19 7279.94 7594.38 5193.55 63
thres100view90076.50 21075.55 20679.33 23289.52 10956.99 28285.83 18983.23 26373.94 11676.32 17287.12 18851.89 23491.95 19748.33 30383.75 16489.07 203
9.1488.26 1492.84 5491.52 3894.75 173.93 11788.57 1694.67 1475.57 1695.79 5186.77 1795.76 20
HPM-MVS_fast85.35 5884.95 6286.57 5693.69 3670.58 7192.15 3091.62 9873.89 11882.67 8194.09 3662.60 13095.54 5880.93 6592.93 6193.57 62
PAPM_NR83.02 8482.41 8484.82 8992.47 6466.37 14887.93 13391.80 9273.82 11977.32 15090.66 10367.90 7994.90 8670.37 15489.48 9993.19 78
thres600view776.50 21075.44 20779.68 22589.40 11357.16 27985.53 19783.23 26373.79 12076.26 17387.09 18951.89 23491.89 20048.05 30883.72 16790.00 178
v7n78.97 16377.58 17583.14 14483.45 24365.51 16288.32 11991.21 11173.69 12172.41 23086.32 21557.93 18193.81 12869.18 16675.65 25890.11 170
v2v48280.23 13579.29 13583.05 14983.62 24064.14 18987.04 15389.97 14573.61 12278.18 13487.22 18461.10 15893.82 12776.11 10676.78 24391.18 133
Baseline_NR-MVSNet78.15 18178.33 15577.61 26085.79 20656.21 29686.78 16385.76 23373.60 12377.93 13987.57 17465.02 10788.99 25667.14 18575.33 26787.63 243
BH-RMVSNet79.61 14578.44 15183.14 14489.38 11565.93 15484.95 20787.15 21673.56 12478.19 13389.79 11956.67 19593.36 14859.53 24586.74 13390.13 168
APD-MVS_3200maxsize85.97 4885.88 4986.22 6192.69 5969.53 8891.93 3292.99 4373.54 12585.94 3194.51 2065.80 10195.61 5583.04 5192.51 6893.53 65
abl_685.23 5984.95 6286.07 6492.23 6670.48 7290.80 4992.08 7773.51 12685.26 3894.16 3362.75 12995.92 4882.46 5791.30 7891.81 119
tfpn200view976.42 21375.37 21179.55 23189.13 12857.65 27485.17 20083.60 25473.41 12776.45 16786.39 21352.12 22791.95 19748.33 30383.75 16489.07 203
thres40076.50 21075.37 21179.86 22189.13 12857.65 27485.17 20083.60 25473.41 12776.45 16786.39 21352.12 22791.95 19748.33 30383.75 16490.00 178
v14878.72 16777.80 16781.47 18882.73 26561.96 22886.30 17688.08 19873.26 12976.18 17685.47 23362.46 13492.36 18471.92 14273.82 28390.09 172
v1079.74 14478.67 14482.97 15484.06 23364.95 17587.88 13590.62 12573.11 13075.11 20286.56 20861.46 14994.05 11673.68 12375.55 26089.90 184
MCST-MVS87.37 2887.25 2887.73 2494.53 1372.46 3789.82 7293.82 1573.07 13184.86 4992.89 6076.22 1096.33 3184.89 2995.13 3394.40 21
baseline176.98 20476.75 19377.66 25888.13 15955.66 30285.12 20381.89 27773.04 13276.79 16088.90 14162.43 13587.78 27463.30 21371.18 29989.55 197
APD-MVScopyleft87.44 2487.52 2287.19 4294.24 2472.39 3991.86 3392.83 5173.01 13388.58 1594.52 1773.36 3296.49 2984.26 3795.01 3492.70 91
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
diffmvs82.10 9381.88 9482.76 16783.00 25663.78 19683.68 23589.76 15172.94 13482.02 8689.85 11865.96 10090.79 22982.38 5887.30 12593.71 52
K. test v371.19 26268.51 26979.21 23583.04 25557.78 27384.35 22576.91 31472.90 13562.99 30982.86 26839.27 31491.09 22461.65 22952.66 33388.75 222
Fast-Effi-MVS+-dtu78.02 18576.49 19782.62 16983.16 25266.96 14186.94 15687.45 21372.45 13671.49 24184.17 25154.79 20591.58 20767.61 17780.31 20789.30 201
PHI-MVS86.43 4386.17 4687.24 4190.88 8470.96 6292.27 2694.07 1172.45 13685.22 4091.90 7369.47 6796.42 3083.28 4795.94 1294.35 23
thres20075.55 22574.47 22178.82 24187.78 17357.85 27183.07 24783.51 25772.44 13875.84 18284.42 24852.08 22991.75 20347.41 31083.64 16886.86 262
test_yl81.17 11080.47 11183.24 13989.13 12863.62 19786.21 17889.95 14672.43 13981.78 9189.61 12357.50 18693.58 13870.75 14986.90 13092.52 96
DCV-MVSNet81.17 11080.47 11183.24 13989.13 12863.62 19786.21 17889.95 14672.43 13981.78 9189.61 12357.50 18693.58 13870.75 14986.90 13092.52 96
BH-untuned79.47 14978.60 14682.05 17689.19 12665.91 15586.07 18388.52 19172.18 14175.42 19187.69 17161.15 15793.54 14260.38 23886.83 13286.70 266
TransMVSNet (Re)75.39 22974.56 21977.86 25485.50 21257.10 28186.78 16386.09 23172.17 14271.53 24087.34 17963.01 12789.31 25156.84 27061.83 32187.17 255
GA-MVS76.87 20675.17 21481.97 17982.75 26462.58 21981.44 26486.35 22772.16 14374.74 20982.89 26746.20 28192.02 19568.85 17081.09 19591.30 131
test_normal67.47 28663.56 29679.18 23772.78 33455.71 30140.72 34290.78 12272.12 14448.43 33465.82 32932.32 33092.25 18772.25 14076.85 24089.59 196
v114480.03 13979.03 13983.01 15183.78 23864.51 18187.11 15290.57 12771.96 14578.08 13786.20 21761.41 15093.94 12074.93 11577.23 23390.60 151
ETH3D cwj APD-0.1687.31 3087.27 2687.44 3891.60 7472.45 3890.02 6894.37 571.76 14687.28 2594.27 2875.18 1896.08 4185.16 2495.77 1893.80 51
PS-MVSNAJss82.07 9581.31 9884.34 10486.51 20067.27 13589.27 8491.51 10271.75 14779.37 11390.22 11163.15 12394.27 10477.69 9182.36 18491.49 126
EPNet_dtu75.46 22674.86 21577.23 26782.57 26954.60 30586.89 15883.09 26671.64 14866.25 29185.86 22355.99 19788.04 27154.92 27686.55 13689.05 208
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
GBi-Net78.40 17377.40 17781.40 19087.60 17763.01 21488.39 11589.28 16371.63 14975.34 19487.28 18054.80 20291.11 21962.72 21679.57 21390.09 172
test178.40 17377.40 17781.40 19087.60 17763.01 21488.39 11589.28 16371.63 14975.34 19487.28 18054.80 20291.11 21962.72 21679.57 21390.09 172
FMVSNet278.20 17977.21 18081.20 19687.60 17762.89 21887.47 14389.02 17571.63 14975.29 19887.28 18054.80 20291.10 22262.38 22079.38 21789.61 194
V4279.38 15478.24 15782.83 15981.10 29265.50 16385.55 19589.82 14971.57 15278.21 13286.12 21860.66 16593.18 15675.64 11075.46 26389.81 189
API-MVS81.99 9781.23 10084.26 10790.94 8270.18 7991.10 4589.32 16271.51 15378.66 12388.28 15965.26 10495.10 7864.74 20591.23 7987.51 246
tttt051779.40 15277.91 16383.90 12388.10 16163.84 19488.37 11884.05 24971.45 15476.78 16189.12 13749.93 25794.89 8770.18 15683.18 17392.96 87
pm-mvs177.25 20176.68 19578.93 23984.22 23058.62 26086.41 17288.36 19371.37 15573.31 21988.01 16761.22 15689.15 25464.24 20773.01 28789.03 209
FMVSNet377.88 18976.85 18880.97 20286.84 19562.36 22186.52 17188.77 18471.13 15675.34 19486.66 20354.07 21291.10 22262.72 21679.57 21389.45 198
VDDNet81.52 10580.67 10784.05 11490.44 9064.13 19089.73 7785.91 23271.11 15783.18 7293.48 4650.54 24993.49 14473.40 12988.25 11494.54 19
XVG-OURS80.41 13179.23 13683.97 12085.64 20969.02 9683.03 24890.39 13171.09 15877.63 14491.49 8454.62 20891.35 21475.71 10983.47 16991.54 123
SixPastTwentyTwo73.37 24471.26 25379.70 22485.08 22057.89 27085.57 19183.56 25671.03 15965.66 29385.88 22242.10 30392.57 17659.11 24963.34 32088.65 225
v119279.59 14678.43 15283.07 14883.55 24264.52 18086.93 15790.58 12670.83 16077.78 14185.90 22159.15 17593.94 12073.96 12277.19 23590.76 144
ETH3 D test640087.50 2387.44 2487.70 2993.71 3471.75 5290.62 5294.05 1270.80 16187.59 2493.51 4577.57 796.63 2383.31 4495.77 1894.72 12
Fast-Effi-MVS+80.81 11979.92 11983.47 12988.85 13564.51 18185.53 19789.39 16070.79 16278.49 12685.06 24267.54 8293.58 13867.03 18786.58 13592.32 103
PS-MVSNAJ81.69 10181.02 10483.70 12589.51 11068.21 12084.28 22690.09 14370.79 16281.26 9985.62 23063.15 12394.29 10275.62 11188.87 10488.59 226
LTVRE_ROB69.57 1376.25 21674.54 22081.41 18988.60 14664.38 18679.24 28189.12 17370.76 16469.79 26287.86 16849.09 26593.20 15456.21 27380.16 20886.65 267
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
xiu_mvs_v2_base81.69 10181.05 10383.60 12689.15 12768.03 12384.46 22090.02 14470.67 16581.30 9886.53 21063.17 12294.19 11075.60 11288.54 11088.57 227
XVG-OURS-SEG-HR80.81 11979.76 12383.96 12185.60 21068.78 10283.54 24190.50 12970.66 16676.71 16391.66 7660.69 16491.26 21676.94 9981.58 19191.83 117
Anonymous20240521178.25 17677.01 18381.99 17891.03 8060.67 24284.77 21083.90 25170.65 16780.00 10891.20 9041.08 30891.43 21265.21 19985.26 14893.85 45
DP-MVS Recon83.11 8382.09 8986.15 6294.44 1570.92 6688.79 10092.20 7370.53 16879.17 11591.03 9764.12 11296.03 4268.39 17390.14 9191.50 125
FMVSNet177.44 19776.12 20281.40 19086.81 19663.01 21488.39 11589.28 16370.49 16974.39 21287.28 18049.06 26691.11 21960.91 23578.52 22290.09 172
ab-mvs79.51 14778.97 14181.14 19888.46 15160.91 23983.84 23389.24 16770.36 17079.03 11688.87 14363.23 12190.21 23765.12 20082.57 18292.28 105
tfpnnormal74.39 23473.16 23578.08 25286.10 20458.05 26584.65 21587.53 21070.32 17171.22 24385.63 22954.97 20189.86 24143.03 32475.02 27186.32 270
ACMM73.20 880.78 12479.84 12183.58 12789.31 12168.37 11589.99 6991.60 9970.28 17277.25 15189.66 12153.37 21793.53 14374.24 12082.85 17788.85 218
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
ACMH+68.96 1476.01 21974.01 22582.03 17788.60 14665.31 16988.86 9787.55 20970.25 17367.75 27487.47 17841.27 30693.19 15558.37 25775.94 25487.60 244
IB-MVS68.01 1575.85 22173.36 23283.31 13584.76 22266.03 15183.38 24285.06 23870.21 17469.40 26481.05 28545.76 28594.66 9565.10 20175.49 26189.25 202
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
thisisatest053079.40 15277.76 17084.31 10587.69 17665.10 17487.36 14584.26 24770.04 17577.42 14788.26 16149.94 25594.79 9270.20 15584.70 15493.03 83
v14419279.47 14978.37 15382.78 16583.35 24463.96 19286.96 15590.36 13569.99 17677.50 14585.67 22860.66 16593.77 13274.27 11976.58 24490.62 149
cl_fuxian78.75 16677.91 16381.26 19482.89 26161.56 23384.09 23189.13 17269.97 17775.56 18584.29 25066.36 9392.09 19373.47 12875.48 26290.12 169
v192192079.22 15678.03 16082.80 16283.30 24663.94 19386.80 16190.33 13669.91 17877.48 14685.53 23158.44 17993.75 13473.60 12476.85 24090.71 147
ACMH67.68 1675.89 22073.93 22681.77 18288.71 14466.61 14488.62 10789.01 17669.81 17966.78 28686.70 20141.95 30591.51 21155.64 27478.14 22787.17 255
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
DPM-MVS84.93 6484.29 6886.84 4890.20 9473.04 2187.12 15193.04 3769.80 18082.85 7791.22 8973.06 3696.02 4376.72 10394.63 4491.46 128
MAR-MVS81.84 9980.70 10685.27 7491.32 7771.53 5589.82 7290.92 11869.77 18178.50 12586.21 21662.36 13694.52 9865.36 19892.05 6989.77 190
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
XVG-ACMP-BASELINE76.11 21874.27 22481.62 18483.20 24964.67 17983.60 23989.75 15269.75 18271.85 23687.09 18932.78 32992.11 19269.99 15980.43 20688.09 235
BH-w/o78.21 17877.33 17980.84 20488.81 13965.13 17384.87 20887.85 20569.75 18274.52 21184.74 24661.34 15293.11 16058.24 25985.84 14684.27 295
v124078.99 16277.78 16882.64 16883.21 24863.54 20186.62 16890.30 13869.74 18477.33 14985.68 22757.04 19393.76 13373.13 13376.92 23790.62 149
DI_MVS_plusplus_test79.89 14278.58 14783.85 12482.89 26165.32 16886.12 18189.55 15669.64 18570.55 24685.82 22557.24 19193.81 12876.85 10088.55 10992.41 101
ET-MVSNet_ETH3D78.63 16976.63 19684.64 9486.73 19869.47 9085.01 20584.61 24269.54 18666.51 28986.59 20550.16 25291.75 20376.26 10584.24 15992.69 93
eth_miper_zixun_eth77.92 18876.69 19481.61 18683.00 25661.98 22783.15 24489.20 16969.52 18774.86 20884.35 24961.76 14492.56 17771.50 14572.89 28890.28 163
PVSNet_Blended_VisFu82.62 8881.83 9584.96 8490.80 8669.76 8388.74 10491.70 9769.39 18878.96 11788.46 15465.47 10394.87 8974.42 11788.57 10890.24 164
mvs_tets79.13 15877.77 16983.22 14184.70 22366.37 14889.17 8690.19 14069.38 18975.40 19289.46 13044.17 29293.15 15776.78 10280.70 20190.14 167
PVSNet_BlendedMVS80.60 12780.02 11782.36 17388.85 13565.40 16486.16 18092.00 8269.34 19078.11 13586.09 21966.02 9894.27 10471.52 14382.06 18687.39 248
AdaColmapbinary80.58 12979.42 13084.06 11393.09 4968.91 10089.36 8288.97 17969.27 19175.70 18489.69 12057.20 19295.77 5263.06 21588.41 11387.50 247
ITE_SJBPF78.22 25081.77 28060.57 24383.30 26169.25 19267.54 27687.20 18536.33 32487.28 27854.34 27874.62 27586.80 263
cl-mvsnet_77.72 19276.76 19180.58 20882.49 27160.48 24583.09 24587.87 20369.22 19374.38 21385.22 23862.10 14191.53 20971.09 14775.41 26489.73 192
cl-mvsnet177.72 19276.76 19180.58 20882.48 27260.48 24583.09 24587.86 20469.22 19374.38 21385.24 23762.10 14191.53 20971.09 14775.40 26589.74 191
jajsoiax79.29 15577.96 16183.27 13784.68 22466.57 14589.25 8590.16 14169.20 19575.46 18989.49 12745.75 28693.13 15976.84 10180.80 19990.11 170
IterMVS-SCA-FT75.43 22773.87 22880.11 21782.69 26664.85 17681.57 26283.47 25969.16 19670.49 24884.15 25251.95 23288.15 26969.23 16572.14 29387.34 250
testing_275.73 22273.34 23382.89 15877.37 31965.22 17084.10 23090.54 12869.09 19760.46 31581.15 28440.48 31092.84 17276.36 10480.54 20590.60 151
xiu_mvs_v1_base_debu80.80 12179.72 12484.03 11687.35 18270.19 7685.56 19288.77 18469.06 19881.83 8788.16 16250.91 24392.85 16978.29 8787.56 12089.06 205
xiu_mvs_v1_base80.80 12179.72 12484.03 11687.35 18270.19 7685.56 19288.77 18469.06 19881.83 8788.16 16250.91 24392.85 16978.29 8787.56 12089.06 205
xiu_mvs_v1_base_debi80.80 12179.72 12484.03 11687.35 18270.19 7685.56 19288.77 18469.06 19881.83 8788.16 16250.91 24392.85 16978.29 8787.56 12089.06 205
MVSTER79.01 16177.88 16582.38 17283.07 25364.80 17784.08 23288.95 18069.01 20178.69 12187.17 18754.70 20692.43 18074.69 11680.57 20389.89 185
cl-mvsnet278.07 18377.01 18381.23 19582.37 27461.83 23083.55 24087.98 20068.96 20275.06 20483.87 25461.40 15191.88 20173.53 12576.39 24889.98 181
agg_prior186.22 4786.09 4886.62 5492.85 5271.94 4988.59 10891.78 9468.96 20284.41 5593.18 5374.94 1994.93 8284.75 3295.33 3093.01 85
miper_ehance_all_eth78.59 17177.76 17081.08 20082.66 26761.56 23383.65 23689.15 17068.87 20475.55 18683.79 25866.49 9192.03 19473.25 13176.39 24889.64 193
PAPR81.66 10380.89 10583.99 11990.27 9264.00 19186.76 16591.77 9668.84 20577.13 15789.50 12667.63 8194.88 8867.55 17888.52 11193.09 80
CPTT-MVS83.73 7183.33 7384.92 8793.28 4370.86 6792.09 3190.38 13268.75 20679.57 11192.83 6260.60 16793.04 16580.92 6691.56 7490.86 142
train_agg86.43 4386.20 4487.13 4493.26 4472.96 2388.75 10291.89 8868.69 20785.00 4293.10 5474.43 2395.41 6384.97 2695.71 2293.02 84
test_893.13 4672.57 3388.68 10691.84 9168.69 20784.87 4893.10 5474.43 2395.16 73
MVSFormer82.85 8682.05 9085.24 7587.35 18270.21 7490.50 5590.38 13268.55 20981.32 9589.47 12861.68 14593.46 14578.98 7990.26 8992.05 113
test_djsdf80.30 13479.32 13483.27 13783.98 23565.37 16790.50 5590.38 13268.55 20976.19 17588.70 14556.44 19693.46 14578.98 7980.14 21090.97 139
TEST993.26 4472.96 2388.75 10291.89 8868.44 21185.00 4293.10 5474.36 2695.41 63
CDPH-MVS85.76 5185.29 5787.17 4393.49 4171.08 6088.58 10992.42 6768.32 21284.61 5293.48 4672.32 4196.15 4079.00 7895.43 2694.28 27
IterMVS74.29 23572.94 23878.35 24981.53 28463.49 20381.58 26182.49 27168.06 21369.99 25783.69 26051.66 23885.54 28965.85 19571.64 29686.01 278
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
TAMVS78.89 16577.51 17683.03 15087.80 17067.79 12784.72 21185.05 23967.63 21476.75 16287.70 17062.25 13890.82 22858.53 25687.13 12790.49 156
PVSNet_Blended80.98 11380.34 11382.90 15688.85 13565.40 16484.43 22292.00 8267.62 21578.11 13585.05 24366.02 9894.27 10471.52 14389.50 9889.01 210
TR-MVS77.44 19776.18 20181.20 19688.24 15763.24 20984.61 21686.40 22567.55 21677.81 14086.48 21154.10 21193.15 15757.75 26382.72 18087.20 254
CDS-MVSNet79.07 16077.70 17283.17 14387.60 17768.23 11984.40 22486.20 22867.49 21776.36 17186.54 20961.54 14890.79 22961.86 22787.33 12490.49 156
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
PatchFormer-LS_test74.50 23373.05 23778.86 24082.95 25959.55 25581.65 26082.30 27367.44 21871.62 23978.15 30852.34 22388.92 26165.05 20275.90 25588.12 234
mvs_anonymous79.42 15179.11 13880.34 21384.45 22757.97 26882.59 25087.62 20867.40 21976.17 17888.56 15268.47 7589.59 24670.65 15286.05 14393.47 66
MVS_030472.48 25470.89 25677.24 26682.20 27559.68 25184.11 22983.49 25867.10 22066.87 28480.59 29035.00 32887.40 27659.07 25079.58 21284.63 293
baseline275.70 22373.83 22981.30 19383.26 24761.79 23182.57 25180.65 28866.81 22166.88 28383.42 26357.86 18292.19 19063.47 21079.57 21389.91 183
miper_lstm_enhance74.11 23873.11 23677.13 26880.11 30159.62 25272.23 31786.92 21966.76 22270.40 24982.92 26656.93 19482.92 30369.06 16872.63 28988.87 217
OpenMVScopyleft72.83 1079.77 14378.33 15584.09 11285.17 21569.91 8090.57 5390.97 11766.70 22372.17 23391.91 7254.70 20693.96 11761.81 22890.95 8188.41 231
test-LLR72.94 25272.43 24174.48 28881.35 28858.04 26678.38 28977.46 31066.66 22469.95 25879.00 30348.06 26979.24 31366.13 19084.83 15186.15 274
test20.0367.45 28766.95 28668.94 31175.48 32744.84 33477.50 29677.67 30966.66 22463.01 30883.80 25747.02 27478.40 31742.53 32668.86 30983.58 302
test0.0.03 168.00 28467.69 28268.90 31277.55 31747.43 33075.70 30672.95 32666.66 22466.56 28782.29 27648.06 26975.87 32844.97 32174.51 27683.41 303
QAPM80.88 11479.50 12985.03 8188.01 16568.97 9991.59 3592.00 8266.63 22775.15 20192.16 6857.70 18395.45 6163.52 20988.76 10690.66 148
XXY-MVS75.41 22875.56 20574.96 28483.59 24157.82 27280.59 26983.87 25266.54 22874.93 20788.31 15863.24 12080.09 31262.16 22376.85 24086.97 260
OurMVSNet-221017-074.26 23672.42 24279.80 22383.76 23959.59 25385.92 18786.64 22166.39 22966.96 28287.58 17339.46 31391.60 20665.76 19669.27 30588.22 232
SCA74.22 23772.33 24379.91 22084.05 23462.17 22579.96 27579.29 30266.30 23072.38 23180.13 29451.95 23288.60 26459.25 24777.67 23088.96 214
testgi66.67 29266.53 28867.08 31775.62 32641.69 33875.93 30276.50 31566.11 23165.20 29986.59 20535.72 32674.71 33243.71 32273.38 28684.84 290
HY-MVS69.67 1277.95 18777.15 18180.36 21287.57 18160.21 24983.37 24387.78 20666.11 23175.37 19387.06 19163.27 11990.48 23461.38 23282.43 18390.40 160
EG-PatchMatch MVS74.04 23971.82 24780.71 20784.92 22167.42 13185.86 18888.08 19866.04 23364.22 30383.85 25535.10 32792.56 17757.44 26580.83 19882.16 314
CNLPA78.08 18276.79 19081.97 17990.40 9171.07 6187.59 14084.55 24366.03 23472.38 23189.64 12257.56 18586.04 28659.61 24483.35 17088.79 221
Anonymous2024052980.19 13778.89 14284.10 11190.60 8764.75 17888.95 9490.90 11965.97 23580.59 10591.17 9149.97 25493.73 13669.16 16782.70 18193.81 49
TAPA-MVS73.13 979.15 15777.94 16282.79 16489.59 10662.99 21788.16 12791.51 10265.77 23677.14 15691.09 9360.91 16193.21 15250.26 29587.05 12892.17 110
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
MSDG73.36 24670.99 25480.49 21084.51 22665.80 15780.71 26786.13 23065.70 23765.46 29483.74 25944.60 28990.91 22751.13 29076.89 23884.74 291
anonymousdsp78.60 17077.15 18182.98 15380.51 29867.08 13787.24 14989.53 15765.66 23875.16 20087.19 18652.52 21992.25 18777.17 9779.34 21889.61 194
test_040272.79 25370.44 25879.84 22288.13 15965.99 15385.93 18684.29 24565.57 23967.40 27985.49 23246.92 27592.61 17535.88 33374.38 27780.94 318
miper_enhance_ethall77.87 19076.86 18780.92 20381.65 28161.38 23582.68 24988.98 17765.52 24075.47 18782.30 27565.76 10292.00 19672.95 13476.39 24889.39 199
DWT-MVSNet_test73.70 24271.86 24679.21 23582.91 26058.94 25782.34 25282.17 27465.21 24171.05 24578.31 30544.21 29190.17 23863.29 21477.28 23288.53 228
UnsupCasMVSNet_eth67.33 28865.99 28971.37 30173.48 33051.47 32075.16 30885.19 23765.20 24260.78 31480.93 28942.35 30077.20 32357.12 26853.69 33285.44 283
WTY-MVS75.65 22475.68 20475.57 27986.40 20156.82 28477.92 29582.40 27265.10 24376.18 17687.72 16963.13 12680.90 30960.31 23981.96 18789.00 212
thisisatest051577.33 20075.38 21083.18 14285.27 21463.80 19582.11 25583.27 26265.06 24475.91 18083.84 25649.54 25994.27 10467.24 18386.19 14191.48 127
MVP-Stereo76.12 21774.46 22281.13 19985.37 21369.79 8284.42 22387.95 20165.03 24567.46 27785.33 23553.28 21891.73 20558.01 26183.27 17181.85 315
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
Anonymous2023121178.97 16377.69 17382.81 16190.54 8864.29 18790.11 6791.51 10265.01 24676.16 17988.13 16650.56 24893.03 16669.68 16277.56 23191.11 135
pmmvs674.69 23273.39 23178.61 24481.38 28757.48 27786.64 16787.95 20164.99 24770.18 25286.61 20450.43 25089.52 24762.12 22470.18 30388.83 219
PAPM77.68 19476.40 19981.51 18787.29 18861.85 22983.78 23489.59 15564.74 24871.23 24288.70 14562.59 13193.66 13752.66 28587.03 12989.01 210
MIMVSNet70.69 26669.30 26374.88 28584.52 22556.35 29475.87 30579.42 30164.59 24967.76 27382.41 27341.10 30781.54 30846.64 31481.34 19286.75 265
tpm72.37 25771.71 24874.35 29082.19 27652.00 31579.22 28277.29 31264.56 25072.95 22483.68 26151.35 23983.26 30258.33 25875.80 25687.81 240
MDA-MVSNet-bldmvs66.68 29163.66 29575.75 27679.28 31260.56 24473.92 31478.35 30564.43 25150.13 33379.87 29844.02 29383.67 29846.10 31656.86 32883.03 309
MIMVSNet168.58 28166.78 28773.98 29380.07 30251.82 31680.77 26684.37 24464.40 25259.75 31982.16 27836.47 32383.63 29942.73 32570.33 30286.48 269
D2MVS74.82 23173.21 23479.64 22879.81 30562.56 22080.34 27187.35 21464.37 25368.86 26782.66 27146.37 27890.10 23967.91 17581.24 19486.25 271
PLCcopyleft70.83 1178.05 18476.37 20083.08 14791.88 7267.80 12688.19 12589.46 15964.33 25469.87 26088.38 15653.66 21593.58 13858.86 25282.73 17987.86 239
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
PatchmatchNetpermissive73.12 24971.33 25178.49 24883.18 25060.85 24079.63 27778.57 30464.13 25571.73 23779.81 29951.20 24185.97 28757.40 26676.36 25188.66 224
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpmvs71.09 26369.29 26476.49 27282.04 27756.04 29778.92 28681.37 28364.05 25667.18 28178.28 30649.74 25889.77 24249.67 29872.37 29083.67 301
F-COLMAP76.38 21574.33 22382.50 17089.28 12266.95 14288.41 11489.03 17464.05 25666.83 28588.61 14946.78 27692.89 16857.48 26478.55 22187.67 242
DP-MVS76.78 20774.57 21883.42 13193.29 4269.46 9288.55 11083.70 25363.98 25870.20 25188.89 14254.01 21394.80 9146.66 31281.88 18986.01 278
原ACMM184.35 10393.01 5068.79 10192.44 6463.96 25981.09 10091.57 8166.06 9795.45 6167.19 18494.82 4288.81 220
PM-MVS66.41 29464.14 29473.20 29573.92 32856.45 29078.97 28564.96 34063.88 26064.72 30080.24 29319.84 34083.44 30066.24 18964.52 31979.71 323
jason81.39 10880.29 11584.70 9386.63 19969.90 8185.95 18586.77 22063.24 26181.07 10189.47 12861.08 15992.15 19178.33 8690.07 9492.05 113
jason: jason.
gg-mvs-nofinetune69.95 27467.96 27675.94 27583.07 25354.51 30777.23 29870.29 32963.11 26270.32 25062.33 33143.62 29488.69 26353.88 28087.76 11784.62 294
tpmrst72.39 25572.13 24473.18 29680.54 29749.91 32679.91 27679.08 30363.11 26271.69 23879.95 29655.32 19982.77 30465.66 19773.89 28186.87 261
PCF-MVS73.52 780.38 13278.84 14385.01 8287.71 17468.99 9883.65 23691.46 10663.00 26477.77 14290.28 10866.10 9595.09 7961.40 23188.22 11590.94 140
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
COLMAP_ROBcopyleft66.92 1773.01 25070.41 25980.81 20587.13 19165.63 16088.30 12084.19 24862.96 26563.80 30687.69 17138.04 31992.56 17746.66 31274.91 27284.24 296
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
Patchmatch-RL test70.24 27167.78 28177.61 26077.43 31859.57 25471.16 31970.33 32862.94 26668.65 26972.77 32450.62 24785.49 29069.58 16366.58 31487.77 241
lupinMVS81.39 10880.27 11684.76 9287.35 18270.21 7485.55 19586.41 22462.85 26781.32 9588.61 14961.68 14592.24 18978.41 8590.26 8991.83 117
EPMVS69.02 27968.16 27371.59 29979.61 30949.80 32877.40 29766.93 33662.82 26870.01 25579.05 30145.79 28477.86 32156.58 27175.26 26987.13 257
PatchMatch-RL72.38 25670.90 25576.80 27188.60 14667.38 13379.53 27876.17 31662.75 26969.36 26582.00 28045.51 28784.89 29353.62 28180.58 20278.12 326
gm-plane-assit81.40 28653.83 31162.72 27080.94 28892.39 18263.40 212
FMVSNet569.50 27667.96 27674.15 29282.97 25855.35 30380.01 27482.12 27662.56 27163.02 30781.53 28136.92 32281.92 30648.42 30274.06 27985.17 287
sss73.60 24373.64 23073.51 29482.80 26355.01 30476.12 30181.69 28062.47 27274.68 21085.85 22457.32 18878.11 31960.86 23680.93 19687.39 248
AllTest70.96 26468.09 27579.58 22985.15 21663.62 19784.58 21779.83 29862.31 27360.32 31686.73 19432.02 33188.96 25950.28 29371.57 29786.15 274
TestCases79.58 22985.15 21663.62 19779.83 29862.31 27360.32 31686.73 19432.02 33188.96 25950.28 29371.57 29786.15 274
1112_ss77.40 19976.43 19880.32 21489.11 13260.41 24783.65 23687.72 20762.13 27573.05 22386.72 19662.58 13289.97 24062.11 22580.80 19990.59 153
PVSNet64.34 1872.08 25870.87 25775.69 27786.21 20356.44 29174.37 31380.73 28762.06 27670.17 25382.23 27742.86 29883.31 30154.77 27784.45 15787.32 251
LS3D76.95 20574.82 21683.37 13490.45 8967.36 13489.15 9086.94 21861.87 27769.52 26390.61 10451.71 23794.53 9746.38 31586.71 13488.21 233
CostFormer75.24 23073.90 22779.27 23382.65 26858.27 26380.80 26582.73 27061.57 27875.33 19783.13 26555.52 19891.07 22564.98 20378.34 22688.45 229
new-patchmatchnet61.73 30361.73 30461.70 32072.74 33524.50 34869.16 32678.03 30761.40 27956.72 32675.53 32038.42 31776.48 32645.95 31757.67 32784.13 298
ANet_high50.57 31246.10 31463.99 31848.67 34639.13 33970.99 32180.85 28561.39 28031.18 33957.70 33617.02 34273.65 33631.22 33515.89 34379.18 324
MS-PatchMatch73.83 24172.67 23977.30 26583.87 23766.02 15281.82 25684.66 24161.37 28168.61 27082.82 26947.29 27288.21 26859.27 24684.32 15877.68 327
USDC70.33 27068.37 27076.21 27480.60 29656.23 29579.19 28386.49 22360.89 28261.29 31285.47 23331.78 33389.47 24953.37 28276.21 25282.94 311
cascas76.72 20874.64 21782.99 15285.78 20765.88 15682.33 25389.21 16860.85 28372.74 22581.02 28647.28 27393.75 13467.48 17985.02 14989.34 200
MDTV_nov1_ep1369.97 26283.18 25053.48 31277.10 29980.18 29760.45 28469.33 26680.44 29148.89 26786.90 27951.60 28878.51 223
TinyColmap67.30 28964.81 29174.76 28781.92 27956.68 28880.29 27281.49 28260.33 28556.27 32883.22 26424.77 33687.66 27545.52 31869.47 30479.95 322
test-mter71.41 26170.39 26074.48 28881.35 28858.04 26678.38 28977.46 31060.32 28669.95 25879.00 30336.08 32579.24 31366.13 19084.83 15186.15 274
131476.53 20975.30 21380.21 21683.93 23662.32 22384.66 21288.81 18260.23 28770.16 25484.07 25355.30 20090.73 23167.37 18083.21 17287.59 245
PatchT68.46 28367.85 27870.29 30780.70 29543.93 33572.47 31674.88 31960.15 28870.55 24676.57 31649.94 25581.59 30750.58 29174.83 27385.34 284
无先验87.48 14288.98 17760.00 28994.12 11367.28 18188.97 213
CR-MVSNet73.37 24471.27 25279.67 22681.32 29065.19 17175.92 30380.30 29459.92 29072.73 22681.19 28252.50 22086.69 28059.84 24277.71 22887.11 258
TDRefinement67.49 28564.34 29376.92 26973.47 33161.07 23784.86 20982.98 26759.77 29158.30 32285.13 24026.06 33587.89 27247.92 30960.59 32581.81 316
dp66.80 29065.43 29070.90 30679.74 30848.82 32975.12 31074.77 32059.61 29264.08 30477.23 31342.89 29780.72 31048.86 30166.58 31483.16 306
our_test_369.14 27867.00 28575.57 27979.80 30658.80 25877.96 29477.81 30859.55 29362.90 31078.25 30747.43 27183.97 29651.71 28767.58 31183.93 300
Test_1112_low_res76.40 21475.44 20779.27 23389.28 12258.09 26481.69 25987.07 21759.53 29472.48 22986.67 20261.30 15389.33 25060.81 23780.15 20990.41 159
pmmvs474.03 24071.91 24580.39 21181.96 27868.32 11681.45 26382.14 27559.32 29569.87 26085.13 24052.40 22288.13 27060.21 24074.74 27484.73 292
testdata79.97 21990.90 8364.21 18884.71 24059.27 29685.40 3692.91 5962.02 14389.08 25568.95 16991.37 7686.63 268
ppachtmachnet_test70.04 27367.34 28478.14 25179.80 30661.13 23679.19 28380.59 28959.16 29765.27 29679.29 30046.75 27787.29 27749.33 29966.72 31286.00 280
RPSCF73.23 24871.46 24978.54 24682.50 27059.85 25082.18 25482.84 26958.96 29871.15 24489.41 13445.48 28884.77 29458.82 25371.83 29591.02 138
pmmvs-eth3d70.50 26967.83 27978.52 24777.37 31966.18 15081.82 25681.51 28158.90 29963.90 30580.42 29242.69 29986.28 28558.56 25565.30 31783.11 307
OpenMVS_ROBcopyleft64.09 1970.56 26868.19 27277.65 25980.26 29959.41 25685.01 20582.96 26858.76 30065.43 29582.33 27437.63 32191.23 21845.34 32076.03 25382.32 312
114514_t80.68 12579.51 12884.20 10894.09 3167.27 13589.64 7991.11 11558.75 30174.08 21590.72 10258.10 18095.04 8069.70 16189.42 10090.30 162
Patchmtry70.74 26569.16 26575.49 28180.72 29454.07 30974.94 31280.30 29458.34 30270.01 25581.19 28252.50 22086.54 28253.37 28271.09 30085.87 281
旧先验286.56 17058.10 30387.04 2688.98 25774.07 121
JIA-IIPM66.32 29562.82 30276.82 27077.09 32161.72 23265.34 33375.38 31758.04 30464.51 30162.32 33242.05 30486.51 28351.45 28969.22 30682.21 313
pmmvs571.55 26070.20 26175.61 27877.83 31656.39 29281.74 25880.89 28457.76 30567.46 27784.49 24749.26 26485.32 29257.08 26975.29 26885.11 288
TESTMET0.1,169.89 27569.00 26672.55 29779.27 31356.85 28378.38 28974.71 32257.64 30668.09 27277.19 31437.75 32076.70 32463.92 20884.09 16084.10 299
RPMNet71.62 25968.94 26779.67 22681.32 29065.19 17175.92 30378.30 30657.60 30772.73 22676.45 31752.30 22486.69 28048.14 30777.71 22887.11 258
新几何183.42 13193.13 4670.71 6985.48 23457.43 30881.80 9091.98 7163.28 11892.27 18664.60 20692.99 6087.27 252
112180.84 11679.77 12284.05 11493.11 4870.78 6884.66 21285.42 23557.37 30981.76 9392.02 7063.41 11694.12 11367.28 18192.93 6187.26 253
YYNet165.03 29762.91 30071.38 30075.85 32456.60 28969.12 32774.66 32357.28 31054.12 32977.87 31045.85 28374.48 33349.95 29661.52 32383.05 308
MDA-MVSNet_test_wron65.03 29762.92 29971.37 30175.93 32356.73 28569.09 32874.73 32157.28 31054.03 33077.89 30945.88 28274.39 33449.89 29761.55 32282.99 310
Anonymous2023120668.60 28067.80 28071.02 30580.23 30050.75 32478.30 29280.47 29156.79 31266.11 29282.63 27246.35 27978.95 31543.62 32375.70 25783.36 304
tpm273.26 24771.46 24978.63 24383.34 24556.71 28780.65 26880.40 29356.63 31373.55 21782.02 27951.80 23691.24 21756.35 27278.42 22587.95 236
CHOSEN 1792x268877.63 19575.69 20383.44 13089.98 9968.58 11378.70 28887.50 21156.38 31475.80 18386.84 19258.67 17791.40 21361.58 23085.75 14790.34 161
HyFIR lowres test77.53 19675.40 20983.94 12289.59 10666.62 14380.36 27088.64 18956.29 31576.45 16785.17 23957.64 18493.28 15061.34 23383.10 17591.91 115
PVSNet_057.27 2061.67 30459.27 30668.85 31379.61 30957.44 27868.01 32973.44 32555.93 31658.54 32170.41 32744.58 29077.55 32247.01 31135.91 33771.55 332
UnsupCasMVSNet_bld63.70 30261.53 30570.21 30873.69 32951.39 32172.82 31581.89 27755.63 31757.81 32371.80 32638.67 31678.61 31649.26 30052.21 33480.63 319
MDTV_nov1_ep13_2view37.79 34075.16 30855.10 31866.53 28849.34 26253.98 27987.94 237
MVS78.19 18076.99 18581.78 18185.66 20866.99 13884.66 21290.47 13055.08 31972.02 23585.27 23663.83 11494.11 11566.10 19289.80 9684.24 296
test22291.50 7568.26 11884.16 22783.20 26554.63 32079.74 10991.63 7958.97 17691.42 7586.77 264
CHOSEN 280x42066.51 29364.71 29271.90 29881.45 28563.52 20257.98 33868.95 33553.57 32162.59 31176.70 31546.22 28075.29 33155.25 27579.68 21176.88 329
ADS-MVSNet266.20 29663.33 29774.82 28679.92 30358.75 25967.55 33075.19 31853.37 32265.25 29775.86 31842.32 30180.53 31141.57 32768.91 30785.18 285
ADS-MVSNet64.36 30062.88 30168.78 31479.92 30347.17 33167.55 33071.18 32753.37 32265.25 29775.86 31842.32 30173.99 33541.57 32768.91 30785.18 285
LF4IMVS64.02 30162.19 30369.50 31070.90 33653.29 31376.13 30077.18 31352.65 32458.59 32080.98 28723.55 33776.52 32553.06 28466.66 31378.68 325
tpm cat170.57 26768.31 27177.35 26482.41 27357.95 26978.08 29380.22 29652.04 32568.54 27177.66 31252.00 23187.84 27351.77 28672.07 29486.25 271
Patchmatch-test64.82 29963.24 29869.57 30979.42 31149.82 32763.49 33669.05 33451.98 32659.95 31880.13 29450.91 24370.98 33740.66 32973.57 28487.90 238
N_pmnet52.79 31053.26 31051.40 32678.99 3147.68 35169.52 3233.89 35151.63 32757.01 32574.98 32140.83 30965.96 34037.78 33264.67 31880.56 321
PMMVS69.34 27768.67 26871.35 30375.67 32562.03 22675.17 30773.46 32450.00 32868.68 26879.05 30152.07 23078.13 31861.16 23482.77 17873.90 330
CMPMVSbinary51.72 2170.19 27268.16 27376.28 27373.15 33357.55 27679.47 27983.92 25048.02 32956.48 32784.81 24443.13 29686.42 28462.67 21981.81 19084.89 289
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
CVMVSNet