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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
PS-MVSNAJ88.14 987.61 1689.71 492.06 6876.72 195.75 1093.26 5883.86 1189.55 596.06 1153.55 15897.89 2991.10 593.31 3494.54 65
xiu_mvs_v2_base87.92 1387.38 2189.55 791.41 8776.43 295.74 1193.12 6683.53 1389.55 595.95 1253.45 16397.68 3191.07 692.62 4194.54 65
MG-MVS87.11 2286.27 2889.62 597.79 176.27 394.96 3094.49 2378.74 5183.87 4392.94 8364.34 5396.94 7475.19 10094.09 2295.66 26
CHOSEN 1792x268884.98 4683.45 5589.57 689.94 10675.14 492.07 10692.32 9081.87 2575.68 10388.27 13960.18 8398.60 1380.46 6990.27 7094.96 54
MVS84.66 5082.86 6590.06 190.93 9274.56 587.91 20795.54 368.55 20072.35 13894.71 4959.78 8498.90 681.29 6694.69 1796.74 8
DELS-MVS90.05 490.09 589.94 293.14 4973.88 697.01 294.40 2888.32 285.71 2494.91 4474.11 798.91 587.26 2595.94 397.03 5
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
MCST-MVS91.08 191.46 289.94 297.66 273.37 797.13 195.58 289.33 185.77 2396.26 772.84 999.38 192.64 395.93 497.08 4
LFMVS84.34 5482.73 6989.18 894.76 1973.25 894.99 2991.89 10871.90 14982.16 5093.49 7347.98 20997.05 6282.55 5484.82 10497.25 2
PAPM85.89 3885.46 4087.18 2988.20 14272.42 992.41 9692.77 7782.11 2180.34 6293.07 8068.27 2095.02 12578.39 8293.59 3194.09 83
canonicalmvs86.85 2786.25 3088.66 1091.80 7571.92 1093.54 6291.71 11580.26 3187.55 1495.25 3163.59 6296.93 7788.18 1884.34 11097.11 3
OpenMVScopyleft70.45 1178.54 14175.92 15286.41 5485.93 17671.68 1192.74 8292.51 8766.49 21864.56 20891.96 10043.88 23498.10 2454.61 23990.65 6689.44 163
QAPM79.95 11677.39 13687.64 1989.63 11171.41 1293.30 6793.70 3965.34 22767.39 19491.75 10547.83 21098.96 457.71 23189.81 7192.54 126
3Dnovator73.91 682.69 7880.82 8888.31 1289.57 11271.26 1392.60 8994.39 2978.84 4867.89 18792.48 9348.42 20498.52 1468.80 15294.40 1995.15 45
MVSFormer83.75 6482.88 6486.37 5589.24 12071.18 1489.07 19090.69 14765.80 22287.13 1694.34 5964.99 4892.67 20572.83 11391.80 5195.27 39
lupinMVS87.74 1587.77 1487.63 2189.24 12071.18 1496.57 492.90 7482.70 1687.13 1695.27 2964.99 4895.80 10689.34 1191.80 5195.93 23
alignmvs87.28 1986.97 2488.24 1391.30 8871.14 1695.61 1593.56 4479.30 3887.07 1895.25 3168.43 1996.93 7787.87 2084.33 11196.65 9
CSCG86.87 2686.26 2988.72 995.05 1870.79 1793.83 5595.33 468.48 20277.63 8894.35 5873.04 898.45 1584.92 4093.71 2996.92 6
CNVR-MVS90.32 390.89 488.61 1196.76 470.65 1896.47 694.83 1384.83 889.07 796.80 270.86 1499.06 292.64 395.71 596.12 17
API-MVS82.28 8280.53 9387.54 2296.13 870.59 1993.63 5891.04 14065.72 22475.45 10892.83 8756.11 12198.89 764.10 19189.75 7293.15 110
jason86.40 3186.17 3187.11 3286.16 17070.54 2095.71 1492.19 9982.00 2484.58 3494.34 5961.86 7695.53 12187.76 2190.89 6395.27 39
jason: jason.
PatchmatchNetpermissive77.46 15174.63 16785.96 6689.55 11470.35 2179.97 27689.55 19072.23 14170.94 14776.91 25757.03 10692.79 20154.27 24181.17 12994.74 59
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
IB-MVS77.80 482.18 8380.46 9487.35 2689.14 12270.28 2295.59 1695.17 678.85 4770.19 15385.82 16270.66 1697.67 3272.19 12266.52 21694.09 83
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
Patchmatch-test175.00 18971.80 20284.58 10686.63 16370.08 2381.06 26589.19 20171.60 16270.01 15577.16 25545.53 22588.63 26451.79 25073.27 17395.02 53
DWT-MVSNet_test83.95 5982.80 6787.41 2492.90 5370.07 2489.12 18994.42 2582.15 2077.64 8791.77 10370.81 1596.22 9265.03 18381.36 12895.94 22
VNet86.20 3485.65 3987.84 1793.92 3469.99 2595.73 1395.94 178.43 5386.00 2193.07 8058.22 9597.00 6785.22 3884.33 11196.52 13
MS-PatchMatch77.90 14876.50 14582.12 16185.99 17269.95 2691.75 12792.70 7873.97 11262.58 22684.44 17641.11 24495.78 10763.76 19292.17 4880.62 278
PatchFormer-LS_test83.14 7081.81 7887.12 3192.34 6269.92 2788.64 19593.32 5582.07 2374.87 11291.62 10768.91 1796.08 9966.07 17478.45 14795.37 32
MVS_Test84.16 5783.20 6187.05 3491.56 8069.82 2889.99 17592.05 10277.77 5982.84 4786.57 15463.93 5696.09 9774.91 10689.18 7395.25 42
VDDNet80.50 10478.26 12287.21 2886.19 16969.79 2994.48 3391.31 13060.42 25779.34 7190.91 11138.48 25396.56 8982.16 5581.05 13095.27 39
MVS_111021_HR86.19 3585.80 3687.37 2593.17 4869.79 2993.99 4693.76 3779.08 4578.88 7693.99 6562.25 7398.15 2385.93 3491.15 6194.15 79
EPMVS78.49 14275.98 15186.02 6291.21 8969.68 3180.23 27291.20 13375.25 9372.48 13478.11 24554.65 14493.69 18157.66 23283.04 11994.69 60
GG-mvs-BLEND86.53 4891.91 7269.67 3275.02 29294.75 1678.67 8190.85 11277.91 294.56 13972.25 11993.74 2895.36 33
DI_MVS_plusplus_test79.78 12077.50 13586.62 4280.90 22269.46 3390.69 15891.97 10677.00 6859.07 23982.34 19446.82 21595.88 10482.14 5686.59 9294.53 67
Effi-MVS+83.82 6282.76 6886.99 3689.56 11369.40 3491.35 14186.12 25672.59 13583.22 4592.81 8859.60 8596.01 10281.76 5987.80 8295.56 29
WTY-MVS86.32 3285.81 3587.85 1692.82 5669.37 3595.20 2295.25 582.71 1581.91 5194.73 4867.93 2697.63 3779.55 7282.25 12496.54 12
test_normal79.66 12177.36 13886.54 4680.72 22669.21 3690.68 15992.16 10176.99 6958.63 24382.03 20346.70 21795.86 10581.74 6086.63 9194.56 62
cascas78.18 14475.77 15485.41 8487.14 15769.11 3792.96 7591.15 13566.71 21670.47 14986.07 15937.49 26396.48 9070.15 14079.80 13590.65 151
NCCC89.07 889.46 887.91 1596.60 569.05 3896.38 794.64 2084.42 1086.74 1996.20 866.56 3598.76 1089.03 1594.56 1895.92 24
MVSTER82.47 7982.05 7483.74 12092.68 5969.01 3991.90 11893.21 5979.83 3272.14 13985.71 16474.72 694.72 13575.72 9472.49 18087.50 180
FMVSNet377.73 14976.04 15082.80 13491.20 9068.99 4091.87 11991.99 10473.35 12567.04 19683.19 18656.62 11592.14 21859.80 22269.34 19687.28 186
MSLP-MVS++86.27 3385.91 3487.35 2692.01 6968.97 4195.04 2892.70 7879.04 4681.50 5496.50 458.98 9296.78 8183.49 4993.93 2496.29 15
MVS_030589.30 789.66 788.24 1394.37 2468.90 4296.56 593.37 5486.96 490.37 395.68 1762.66 7099.01 393.05 193.92 2596.80 7
test1287.09 3394.60 2368.86 4392.91 7382.67 4865.44 4497.55 4093.69 3094.84 57
nrg03080.93 9979.86 9984.13 11483.69 20068.83 4493.23 6991.20 13375.55 8575.06 11188.22 14163.04 6994.74 13481.88 5866.88 21388.82 165
SD-MVS87.49 1787.49 1887.50 2393.60 3968.82 4593.90 5292.63 8376.86 7187.90 1295.76 1466.17 3697.63 3789.06 1491.48 5796.05 19
xiu_mvs_v1_base_debu82.16 8481.12 8585.26 8986.42 16468.72 4692.59 9190.44 15273.12 12884.20 3894.36 5438.04 25795.73 11084.12 4486.81 8791.33 142
xiu_mvs_v1_base82.16 8481.12 8585.26 8986.42 16468.72 4692.59 9190.44 15273.12 12884.20 3894.36 5438.04 25795.73 11084.12 4486.81 8791.33 142
xiu_mvs_v1_base_debi82.16 8481.12 8585.26 8986.42 16468.72 4692.59 9190.44 15273.12 12884.20 3894.36 5438.04 25795.73 11084.12 4486.81 8791.33 142
MDTV_nov1_ep1372.61 19389.06 12368.48 4980.33 27090.11 17171.84 15471.81 14375.92 26253.01 16593.92 17448.04 26373.38 172
CostFormer82.33 8181.15 8485.86 6889.01 12568.46 5082.39 25593.01 6975.59 8480.25 6381.57 20972.03 1294.96 12779.06 7777.48 15494.16 78
mvs_anonymous81.36 9479.99 9785.46 8090.39 10168.40 5186.88 22590.61 15174.41 9970.31 15284.67 17363.79 5892.32 21673.13 11085.70 9995.67 25
tpmp4_e2378.85 13376.55 14485.77 7289.25 11868.39 5281.63 26291.38 12870.40 17975.21 11079.22 24167.37 3094.79 13058.98 22775.51 16494.13 80
gg-mvs-nofinetune77.18 16174.31 17385.80 7091.42 8568.36 5371.78 29594.72 1749.61 29377.12 9545.92 31677.41 393.98 17167.62 15993.16 3695.05 49
DeepC-MVS_fast79.48 287.95 1288.00 1287.79 1895.86 1268.32 5495.74 1194.11 3183.82 1283.49 4496.19 964.53 5298.44 1683.42 5094.88 1296.61 10
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
PAPR85.15 4484.47 4687.18 2996.02 1068.29 5591.85 12093.00 7176.59 7679.03 7595.00 3861.59 7797.61 3978.16 8389.00 7495.63 27
tpmrst80.57 10279.14 11584.84 9990.10 10368.28 5681.70 25989.72 18777.63 6275.96 10279.54 23964.94 5092.71 20375.43 9877.28 15793.55 99
tpm279.80 11977.95 12785.34 8788.28 14068.26 5781.56 26391.42 12670.11 18277.59 9080.50 22567.40 2994.26 15967.34 16177.35 15593.51 100
HPM-MVS++89.37 689.95 687.64 1995.10 1768.23 5895.24 2194.49 2382.43 1788.90 896.35 571.89 1398.63 1288.76 1796.40 296.06 18
HyFIR lowres test81.03 9879.56 10485.43 8387.81 14968.11 5990.18 17190.01 17570.65 17672.95 12586.06 16063.61 6194.50 14375.01 10479.75 13693.67 96
TSAR-MVS + MP.88.11 1088.64 986.54 4691.73 7668.04 6090.36 16793.55 4582.89 1491.29 292.89 8672.27 1096.03 10087.99 1994.77 1395.54 30
CR-MVSNet73.79 19970.82 20882.70 13783.15 20667.96 6170.25 29884.00 27273.67 12169.97 15772.41 27757.82 9989.48 26052.99 24873.13 17490.64 152
RPMNet69.58 23465.21 24482.70 13783.15 20667.96 6170.25 29886.15 25546.83 30169.97 15765.10 30256.48 11889.48 26035.79 29973.13 17490.64 152
V4276.46 16974.55 17082.19 15979.14 26267.82 6390.26 17089.42 19473.75 11868.63 17981.89 20551.31 18094.09 16371.69 12464.84 23184.66 230
tpm cat175.30 18472.21 19884.58 10688.52 13367.77 6478.16 28788.02 22861.88 25068.45 18276.37 25860.65 8194.03 16953.77 24474.11 16891.93 136
HY-MVS76.49 584.28 5583.36 6087.02 3592.22 6767.74 6584.65 23794.50 2279.15 4282.23 4987.93 14366.88 3296.94 7480.53 6882.20 12596.39 14
VDD-MVS83.06 7281.81 7886.81 3790.86 9567.70 6695.40 1891.50 12375.46 8681.78 5292.34 9740.09 24797.13 6086.85 2982.04 12695.60 28
FMVSNet276.07 17374.01 17882.26 15788.85 12667.66 6791.33 14291.61 11870.84 17365.98 20182.25 19648.03 20692.00 22358.46 22868.73 20287.10 188
CLD-MVS82.73 7582.35 7383.86 11887.90 14867.65 6895.45 1792.18 10085.06 672.58 13192.27 9852.46 17195.78 10784.18 4379.06 14188.16 175
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
Test476.45 17073.45 18585.45 8276.07 28467.61 6988.38 19990.83 14376.71 7453.06 27279.65 23831.61 28694.35 15378.47 8086.22 9694.40 71
131480.70 10178.95 11685.94 6787.77 15067.56 7087.91 20792.55 8672.17 14567.44 19193.09 7750.27 18697.04 6471.68 12587.64 8393.23 108
ACMMP_Plus86.05 3685.80 3686.80 3891.58 7967.53 7191.79 12293.49 4874.93 9684.61 3395.30 2759.42 8697.92 2786.13 3294.92 994.94 55
PVSNet_BlendedMVS83.38 6783.43 5683.22 13093.76 3567.53 7194.06 4293.61 4279.13 4381.00 5785.14 16863.19 6697.29 5187.08 2673.91 17184.83 229
PVSNet_Blended86.73 3086.86 2686.31 5893.76 3567.53 7196.33 893.61 4282.34 1881.00 5793.08 7863.19 6697.29 5187.08 2691.38 5894.13 80
MVS_dtu83.63 6682.83 6686.02 6290.57 9767.50 7490.51 16389.84 17984.43 987.88 1393.73 6948.69 20396.94 7475.60 9784.23 11493.61 98
test_prior387.38 1887.70 1586.42 5294.71 2167.35 7595.10 2693.10 6775.40 8985.25 3095.61 2067.94 2496.84 7987.47 2294.77 1395.05 49
test_prior86.42 5294.71 2167.35 7593.10 6796.84 7995.05 49
TEST994.18 2767.28 7794.16 3593.51 4671.75 15985.52 2695.33 2568.01 2397.27 53
train_agg87.21 2187.42 2086.60 4394.18 2767.28 7794.16 3593.51 4671.87 15185.52 2695.33 2568.19 2197.27 5389.09 1294.90 1095.25 42
test_894.19 2667.19 7994.15 3793.42 5171.87 15185.38 2895.35 2468.19 2196.95 73
CDPH-MVS85.71 4085.46 4086.46 5094.75 2067.19 7993.89 5392.83 7670.90 17283.09 4695.28 2863.62 6097.36 4780.63 6794.18 2194.84 57
test_prior467.18 8193.92 51
v2v48277.42 15275.65 15982.73 13680.38 24067.13 8291.85 12090.23 16475.09 9469.37 16783.39 18453.79 15694.44 14471.77 12365.00 23086.63 198
MVS_test032684.44 5183.92 5186.00 6491.53 8367.10 8392.43 9594.41 2684.87 788.04 1192.75 8949.47 19397.10 6175.66 9686.16 9793.79 95
DP-MVS Recon82.73 7581.65 8085.98 6597.31 367.06 8495.15 2491.99 10469.08 19276.50 10193.89 6754.48 14798.20 2170.76 13685.66 10092.69 121
tpmvs72.88 20569.76 21382.22 15890.98 9167.05 8578.22 28688.30 22363.10 24164.35 21274.98 26555.09 13494.27 15743.25 27469.57 19585.34 225
gm-plane-assit88.42 13867.04 8678.62 5291.83 10297.37 4676.57 91
agg_prior187.02 2387.26 2286.28 5994.16 3166.97 8794.08 4193.31 5671.85 15384.49 3595.39 2368.91 1796.75 8388.84 1694.32 2095.13 46
agg_prior94.16 3166.97 8793.31 5684.49 3596.75 83
agg_prior386.93 2587.08 2386.48 4994.21 2566.95 8994.14 3893.40 5271.80 15684.86 3295.13 3566.16 3797.25 5589.09 1294.90 1095.25 42
diffmvs80.18 10978.55 12085.07 9388.56 13266.93 9086.70 22888.62 21770.42 17878.69 8085.26 16656.93 11094.77 13168.68 15383.09 11893.51 100
ADS-MVSNet68.54 24164.38 25181.03 18388.06 14466.90 9168.01 30584.02 27157.57 26964.48 20969.87 29238.68 24989.21 26340.87 28467.89 20886.97 189
v1neww77.39 15375.71 15682.44 14380.69 22866.83 9291.94 11590.18 16774.19 10669.60 16182.51 19054.99 13894.44 14471.68 12565.60 21986.05 207
v7new77.39 15375.71 15682.44 14380.69 22866.83 9291.94 11590.18 16774.19 10669.60 16182.51 19054.99 13894.44 14471.68 12565.60 21986.05 207
v1871.94 21169.43 21479.50 21080.74 22566.82 9488.16 20186.66 24268.95 19355.55 25572.66 27255.03 13690.15 24764.78 18552.30 28381.54 260
v875.35 18373.26 18781.61 17280.67 23066.82 9489.54 18189.27 19871.65 16063.30 22080.30 22954.99 13894.06 16567.33 16262.33 24583.94 235
v677.39 15375.71 15682.44 14380.67 23066.82 9491.94 11590.18 16774.19 10669.60 16182.50 19355.00 13794.44 14471.68 12565.60 21986.05 207
v1771.77 21469.20 21779.46 21280.62 23566.81 9787.93 20586.63 24468.71 19755.25 25772.49 27454.72 14390.11 25064.50 18851.97 28581.47 261
v1671.81 21269.26 21679.47 21180.66 23266.81 9787.93 20586.63 24468.70 19855.35 25672.51 27354.75 14290.12 24964.51 18752.28 28481.47 261
3Dnovator+73.60 782.10 8780.60 9286.60 4390.89 9466.80 9995.20 2293.44 5074.05 10967.42 19292.49 9249.46 19497.65 3670.80 13591.68 5395.33 34
PAPM_NR82.97 7381.84 7786.37 5594.10 3366.76 10087.66 21292.84 7569.96 18474.07 11993.57 7163.10 6897.50 4270.66 13790.58 6794.85 56
v114177.28 15875.57 16082.42 14880.63 23466.73 10191.96 11190.42 15574.41 9969.46 16482.12 20055.09 13494.40 14970.99 13265.05 22686.12 204
v177.29 15775.57 16082.42 14880.61 23866.73 10191.96 11190.42 15574.41 9969.46 16482.12 20055.14 13294.40 14971.00 13065.04 22786.13 203
divwei89l23v2f11277.28 15875.57 16082.42 14880.62 23566.72 10391.96 11190.42 15574.41 9969.46 16482.12 20055.11 13394.40 14971.00 13065.04 22786.12 204
v1074.77 19172.54 19581.46 17380.33 24566.71 10489.15 18889.08 20770.94 17163.08 22179.86 23452.52 16994.04 16865.70 17962.17 24683.64 237
v1571.40 21668.75 21979.35 21380.39 23966.70 10587.57 21486.64 24368.66 19954.68 25972.00 28154.50 14589.98 25263.69 19350.66 29081.38 265
v776.83 16575.01 16582.29 15480.35 24166.70 10591.68 12989.97 17673.47 12469.22 16982.22 19752.52 16994.43 14869.73 14265.96 21885.74 218
V1471.29 21868.61 22179.31 21480.34 24366.65 10787.39 21686.61 24668.41 20354.49 26171.91 28254.25 15089.96 25363.50 19450.62 29181.33 267
DeepC-MVS77.85 385.52 4185.24 4286.37 5588.80 12966.64 10892.15 10093.68 4081.07 2876.91 9893.64 7062.59 7298.44 1685.50 3692.84 3994.03 87
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
v114476.73 16774.88 16682.27 15580.23 24866.60 10991.68 12990.21 16673.69 11969.06 17281.89 20552.73 16894.40 14969.21 14865.23 22385.80 214
V971.16 21968.46 22379.27 21680.26 24666.60 10987.21 21986.56 24768.17 20454.26 26471.81 28454.00 15289.93 25463.28 19750.57 29281.27 268
PVSNet_Blended_VisFu83.97 5883.50 5385.39 8590.02 10466.59 11193.77 5691.73 11377.43 6677.08 9789.81 12763.77 5996.97 7179.67 7188.21 7992.60 124
v1171.05 22268.32 22679.23 21780.34 24366.57 11287.01 22286.55 24868.11 20554.40 26271.66 28652.94 16689.91 25562.71 20551.12 28881.21 269
v14419276.05 17474.03 17782.12 16179.50 25766.55 11391.39 13789.71 18872.30 14068.17 18381.33 21351.75 17694.03 16967.94 15564.19 23685.77 215
v1271.02 22368.29 22879.22 21880.18 24966.53 11487.01 22286.54 24967.90 20654.00 26771.70 28553.66 15789.91 25563.09 19950.51 29381.21 269
testing_271.09 22167.32 23382.40 15169.82 30166.52 11583.64 24290.77 14572.21 14245.12 29871.07 29127.60 29893.74 17975.71 9569.96 19186.95 191
v1370.90 22468.15 22979.15 22280.08 25066.45 11686.83 22686.50 25067.62 21253.78 26971.61 28753.51 16189.87 25762.89 20350.50 29481.14 271
VPNet78.82 13477.53 13482.70 13784.52 18866.44 11793.93 5092.23 9380.46 3072.60 13088.38 13749.18 19793.13 18972.47 11863.97 23988.55 169
SteuartSystems-ACMMP86.82 2986.90 2586.58 4590.42 9966.38 11896.09 993.87 3377.73 6084.01 4295.66 1863.39 6397.94 2687.40 2493.55 3295.42 31
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v192192075.63 18173.49 18482.06 16579.38 25866.35 11991.07 15189.48 19171.98 14867.99 18481.22 21649.16 19993.90 17566.56 16864.56 23585.92 213
MVP-Stereo77.12 16276.23 14879.79 20381.72 21666.34 12089.29 18490.88 14270.56 17762.01 22982.88 18749.34 19594.13 16165.55 18093.80 2678.88 290
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
GA-MVS78.33 14376.23 14884.65 10483.65 20166.30 12191.44 13590.14 17076.01 8170.32 15184.02 17842.50 23794.72 13570.98 13377.00 15892.94 117
APDe-MVS87.54 1687.84 1386.65 4196.07 966.30 12194.84 3193.78 3569.35 18988.39 996.34 667.74 2897.66 3590.62 893.44 3396.01 21
v119275.98 17673.92 17982.15 16079.73 25366.24 12391.22 14689.75 18272.67 13468.49 18181.42 21149.86 19094.27 15767.08 16365.02 22985.95 211
dp75.01 18872.09 19983.76 11989.28 11766.22 12479.96 27789.75 18271.16 16967.80 18977.19 25351.81 17592.54 20850.39 25471.44 18892.51 127
EPNet87.84 1488.38 1086.23 6093.30 4466.05 12595.26 2094.84 1287.09 388.06 1094.53 5166.79 3397.34 4983.89 4791.68 5395.29 37
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
v124075.21 18672.98 18981.88 16679.20 26066.00 12690.75 15789.11 20671.63 16167.41 19381.22 21647.36 21393.87 17665.46 18164.72 23385.77 215
PCF-MVS73.15 979.29 12677.63 13284.29 11286.06 17165.96 12787.03 22091.10 13769.86 18569.79 16090.64 11457.54 10296.59 8664.37 19082.29 12390.32 154
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
MAR-MVS84.18 5683.43 5686.44 5196.25 765.93 12894.28 3494.27 3074.41 9979.16 7495.61 2053.99 15398.88 869.62 14493.26 3594.50 68
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
Fast-Effi-MVS+81.14 9680.01 9684.51 10990.24 10265.86 12994.12 3989.15 20473.81 11775.37 10988.26 14057.26 10394.53 14266.97 16584.92 10393.15 110
AdaColmapbinary78.94 13277.00 14184.76 10096.34 665.86 12992.66 8887.97 23062.18 24670.56 14892.37 9643.53 23597.35 4864.50 18882.86 12091.05 148
Regformer-187.24 2087.60 1786.15 6195.14 1565.83 13193.95 4895.12 782.11 2184.25 3795.73 1567.88 2798.35 1885.60 3588.64 7694.26 72
BH-RMVSNet79.46 12577.65 13184.89 9791.68 7865.66 13293.55 6188.09 22772.93 13173.37 12391.12 11046.20 22396.12 9656.28 23585.61 10192.91 118
MP-MVS-pluss85.24 4385.13 4385.56 7791.42 8565.59 13391.54 13492.51 8774.56 9880.62 5995.64 1959.15 8997.00 6786.94 2893.80 2694.07 85
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
PHI-MVS86.83 2886.85 2786.78 3993.47 4365.55 13495.39 1995.10 971.77 15885.69 2596.52 362.07 7498.77 986.06 3395.60 696.03 20
114514_t79.17 12877.67 13083.68 12495.32 1465.53 13592.85 8091.60 11963.49 23667.92 18690.63 11646.65 21895.72 11467.01 16483.54 11789.79 159
ab-mvs80.18 10978.31 12185.80 7088.44 13765.49 13683.00 25292.67 8071.82 15577.36 9285.01 16954.50 14596.59 8676.35 9375.63 16395.32 36
TSAR-MVS + GP.87.96 1188.37 1186.70 4093.51 4265.32 13795.15 2493.84 3478.17 5585.93 2294.80 4775.80 498.21 2089.38 1088.78 7596.59 11
pmmvs473.92 19871.81 20180.25 19279.17 26165.24 13887.43 21587.26 23967.64 21163.46 21883.91 17948.96 20191.53 23462.94 20265.49 22283.96 234
APD-MVScopyleft85.93 3785.99 3285.76 7395.98 1165.21 13993.59 6092.58 8566.54 21786.17 2095.88 1363.83 5797.00 6786.39 3192.94 3795.06 48
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
MPTG84.73 4884.47 4685.50 7891.89 7365.16 14091.55 13392.23 9375.32 9180.53 6095.21 3356.06 12297.16 5884.86 4192.55 4394.18 75
MTAPA83.91 6083.38 5985.50 7891.89 7365.16 14081.75 25892.23 9375.32 9180.53 6095.21 3356.06 12297.16 5884.86 4192.55 4394.18 75
GBi-Net75.65 17973.83 18081.10 18088.85 12665.11 14290.01 17290.32 15870.84 17367.04 19680.25 23048.03 20691.54 23159.80 22269.34 19686.64 195
test175.65 17973.83 18081.10 18088.85 12665.11 14290.01 17290.32 15870.84 17367.04 19680.25 23048.03 20691.54 23159.80 22269.34 19686.64 195
FMVSNet172.71 20769.91 21181.10 18083.60 20265.11 14290.01 17290.32 15863.92 23463.56 21780.25 23036.35 27191.54 23154.46 24066.75 21486.64 195
Regformer-385.80 3985.92 3385.46 8094.17 2965.09 14592.95 7695.11 881.13 2781.68 5395.04 3665.82 4198.32 1983.02 5184.36 10892.97 116
HFP-MVS84.73 4884.40 4885.72 7493.75 3765.01 14693.50 6393.19 6272.19 14379.22 7294.93 4159.04 9097.67 3281.55 6192.21 4594.49 69
#test#84.98 4684.74 4585.72 7493.75 3765.01 14694.09 4093.19 6273.55 12379.22 7294.93 4159.04 9097.67 3282.66 5392.21 4594.49 69
PVSNet73.49 880.05 11378.63 11884.31 11190.92 9364.97 14892.47 9491.05 13979.18 4172.43 13690.51 11837.05 26994.06 16568.06 15486.00 9893.90 93
Regformer-287.00 2487.43 1985.71 7695.14 1564.73 14993.95 4894.95 1081.69 2684.03 4195.73 1567.35 3198.19 2285.40 3788.64 7694.20 74
tpm78.58 14077.03 14083.22 13085.94 17564.56 15083.21 25091.14 13678.31 5473.67 12279.68 23664.01 5492.09 22166.07 17471.26 18993.03 114
VPA-MVSNet79.03 12978.00 12682.11 16485.95 17364.48 15193.22 7094.66 1975.05 9574.04 12084.95 17052.17 17393.52 18474.90 10767.04 21288.32 174
CDS-MVSNet81.43 9380.74 8983.52 12686.26 16864.45 15292.09 10490.65 15075.83 8373.95 12189.81 12763.97 5592.91 19771.27 12982.82 12193.20 109
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
v14876.19 17174.47 17281.36 17480.05 25264.44 15391.75 12790.23 16473.68 12067.13 19580.84 22155.92 12593.86 17868.95 15061.73 25185.76 217
XXY-MVS77.94 14776.44 14682.43 14682.60 21064.44 15392.01 10791.83 11173.59 12270.00 15685.82 16254.43 14894.76 13269.63 14368.02 20788.10 176
MIMVSNet71.64 21568.44 22481.23 17781.97 21564.44 15373.05 29488.80 21369.67 18664.59 20774.79 26632.79 28087.82 27353.99 24276.35 16091.42 141
Patchmtry67.53 24863.93 25278.34 22682.12 21364.38 15668.72 30284.00 27248.23 29859.24 23672.41 27757.82 9989.27 26246.10 26956.68 27381.36 266
ACMMPR84.37 5284.06 4985.28 8893.56 4064.37 15793.50 6393.15 6572.19 14378.85 7894.86 4556.69 11497.45 4381.55 6192.20 4794.02 88
BH-w/o80.49 10579.30 11184.05 11690.83 9664.36 15893.60 5989.42 19474.35 10469.09 17190.15 12255.23 12995.61 11664.61 18686.43 9592.17 134
region2R84.36 5384.03 5085.36 8693.54 4164.31 15993.43 6692.95 7272.16 14678.86 7794.84 4656.97 10897.53 4181.38 6492.11 4994.24 73
112181.25 9580.05 9584.87 9892.30 6464.31 15987.91 20791.39 12759.44 26379.94 6592.91 8457.09 10497.01 6566.63 16692.81 4093.29 106
新几何184.73 10192.32 6364.28 16191.46 12559.56 26279.77 6792.90 8556.95 10996.57 8863.40 19592.91 3893.34 103
原ACMM184.42 11093.21 4764.27 16293.40 5265.39 22579.51 7092.50 9158.11 9796.69 8565.27 18293.96 2392.32 130
MP-MVScopyleft85.02 4584.97 4485.17 9292.60 6064.27 16293.24 6892.27 9273.13 12779.63 6994.43 5261.90 7597.17 5785.00 3992.56 4294.06 86
PGM-MVS83.25 6882.70 7084.92 9692.81 5764.07 16490.44 16492.20 9871.28 16877.23 9494.43 5255.17 13197.31 5079.33 7491.38 5893.37 102
HSP-MVS90.38 291.89 185.84 6992.83 5464.03 16593.06 7394.52 2182.19 1993.65 196.15 1085.89 197.19 5691.02 797.75 196.29 15
CP-MVS83.71 6583.40 5884.65 10493.14 4963.84 16694.59 3292.28 9171.03 17077.41 9194.92 4355.21 13096.19 9381.32 6590.70 6593.91 92
OPM-MVS79.00 13078.09 12481.73 16883.52 20363.83 16791.64 13290.30 16276.36 7971.97 14189.93 12646.30 22295.17 12475.10 10177.70 15186.19 202
XVS83.87 6183.47 5485.05 9493.22 4563.78 16892.92 7892.66 8173.99 11078.18 8294.31 6155.25 12797.41 4479.16 7591.58 5593.95 90
X-MVStestdata76.86 16374.13 17685.05 9493.22 4563.78 16892.92 7892.66 8173.99 11078.18 8210.19 33155.25 12797.41 4479.16 7591.58 5593.95 90
TESTMET0.1,182.41 8081.98 7683.72 12388.08 14363.74 17092.70 8493.77 3679.30 3877.61 8987.57 14658.19 9694.08 16473.91 10986.68 9093.33 105
BH-untuned78.68 13877.08 13983.48 12889.84 10863.74 17092.70 8488.59 21871.57 16366.83 19988.65 13351.75 17695.39 12259.03 22584.77 10591.32 145
MSDG69.54 23565.73 23980.96 18485.11 18263.71 17284.19 23983.28 27956.95 27454.50 26084.03 17731.50 28796.03 10042.87 27869.13 19983.14 248
PatchT69.11 23865.37 24380.32 19082.07 21463.68 17367.96 30787.62 23350.86 29169.37 16765.18 30157.09 10488.53 26841.59 28266.60 21588.74 166
HQP5-MVS63.66 174
HQP-MVS81.14 9680.64 9182.64 14087.54 15163.66 17494.06 4291.70 11679.80 3374.18 11590.30 12051.63 17895.61 11677.63 8678.90 14288.63 167
EI-MVSNet-Vis-set83.77 6383.67 5284.06 11592.79 5863.56 17691.76 12594.81 1579.65 3677.87 8494.09 6363.35 6497.90 2879.35 7379.36 13890.74 150
TAMVS80.37 10679.45 10783.13 13285.14 18163.37 17791.23 14590.76 14674.81 9772.65 12988.49 13460.63 8292.95 19369.41 14681.95 12793.08 113
ACMH63.93 1768.62 23964.81 24580.03 19685.22 18063.25 17887.72 21184.66 26660.83 25551.57 27879.43 24027.29 29994.96 12741.76 28064.84 23181.88 258
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
Regformer-485.45 4285.69 3884.73 10194.17 2963.23 17992.95 7694.83 1380.66 2981.29 5595.04 3665.12 4698.08 2582.74 5284.36 10892.88 120
EI-MVSNet-UG-set83.14 7082.96 6283.67 12592.28 6563.19 18091.38 13994.68 1879.22 4076.60 9993.75 6862.64 7197.76 3078.07 8478.01 14890.05 157
NP-MVS87.41 15463.04 18190.30 120
IterMVS72.65 20970.83 20778.09 23382.17 21262.96 18287.64 21386.28 25271.56 16460.44 23178.85 24345.42 22786.66 27863.30 19661.83 24884.65 231
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
EG-PatchMatch MVS68.55 24065.41 24277.96 23478.69 26762.93 18389.86 17789.17 20260.55 25650.27 28377.73 24822.60 30794.06 16547.18 26672.65 17976.88 298
DP-MVS69.90 23066.48 23680.14 19395.36 1362.93 18389.56 17976.11 29750.27 29257.69 24985.23 16739.68 24895.73 11033.35 30371.05 19081.78 259
mPP-MVS82.96 7482.44 7184.52 10892.83 5462.92 18592.76 8191.85 11071.52 16575.61 10694.24 6253.48 16296.99 7078.97 7890.73 6493.64 97
ACMMPcopyleft81.49 9280.67 9083.93 11791.71 7762.90 18692.13 10192.22 9771.79 15771.68 14493.49 7350.32 18496.96 7278.47 8084.22 11691.93 136
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
HPM-MVS83.25 6882.95 6384.17 11392.25 6662.88 18790.91 15291.86 10970.30 18177.12 9593.96 6656.75 11296.28 9182.04 5791.34 6093.34 103
MVS_111021_LR82.02 8881.52 8183.51 12788.42 13862.88 18789.77 17888.93 21176.78 7375.55 10793.10 7650.31 18595.38 12383.82 4887.02 8692.26 133
IterMVS-LS76.49 16875.18 16480.43 18984.49 18962.74 18990.64 16088.80 21372.40 13865.16 20481.72 20860.98 8092.27 21767.74 15764.65 23486.29 200
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
EI-MVSNet78.97 13178.22 12381.25 17685.33 17862.73 19089.53 18293.21 5972.39 13972.14 13990.13 12360.99 7994.72 13567.73 15872.49 18086.29 200
CHOSEN 280x42077.35 15676.95 14278.55 22587.07 15862.68 19169.71 30182.95 28268.80 19571.48 14587.27 15066.03 3984.00 29076.47 9282.81 12288.95 164
HQP_MVS80.34 10779.75 10182.12 16186.94 15962.42 19293.13 7191.31 13078.81 4972.53 13289.14 13150.66 18295.55 11976.74 8978.53 14588.39 172
plane_prior62.42 19293.85 5479.38 3778.80 144
plane_prior687.23 15562.32 19450.66 182
PVSNet_068.08 1571.81 21268.32 22682.27 15584.68 18562.31 19588.68 19490.31 16175.84 8257.93 24680.65 22437.85 26094.19 16069.94 14129.05 31990.31 155
WR-MVS76.76 16675.74 15579.82 20284.60 18662.27 19692.60 8992.51 8776.06 8067.87 18885.34 16556.76 11190.24 24462.20 20963.69 24186.94 192
NR-MVSNet76.05 17474.59 16880.44 18882.96 20862.18 19790.83 15491.73 11377.12 6760.96 23086.35 15559.28 8891.80 22560.74 21661.34 25487.35 184
plane_prior361.95 19879.09 4472.53 132
Vis-MVSNetpermissive80.92 10079.98 9883.74 12088.48 13561.80 19993.44 6588.26 22673.96 11377.73 8591.76 10449.94 18994.76 13265.84 17790.37 6994.65 61
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
CNLPA74.31 19472.30 19780.32 19091.49 8461.66 20090.85 15380.72 28956.67 27763.85 21590.64 11446.75 21690.84 23853.79 24375.99 16288.47 171
test22289.77 10961.60 20189.55 18089.42 19456.83 27677.28 9392.43 9452.76 16791.14 6293.09 112
plane_prior786.94 15961.51 202
UGNet79.87 11778.68 11783.45 12989.96 10561.51 20292.13 10190.79 14476.83 7278.85 7886.33 15738.16 25596.17 9467.93 15687.17 8592.67 122
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
test-LLR80.10 11279.56 10481.72 16986.93 16161.17 20492.70 8491.54 12071.51 16675.62 10486.94 15153.83 15492.38 21372.21 12084.76 10691.60 139
test-mter79.96 11579.38 11081.72 16986.93 16161.17 20492.70 8491.54 12073.85 11575.62 10486.94 15149.84 19192.38 21372.21 12084.76 10691.60 139
TR-MVS78.77 13677.37 13782.95 13390.49 9860.88 20693.67 5790.07 17270.08 18374.51 11491.37 10845.69 22495.70 11560.12 22080.32 13392.29 131
UniMVSNet (Re)77.58 15076.78 14379.98 19784.11 19660.80 20791.76 12593.17 6476.56 7769.93 15984.78 17263.32 6592.36 21564.89 18462.51 24486.78 194
1112_ss80.56 10379.83 10082.77 13588.65 13160.78 20892.29 9788.36 22272.58 13672.46 13594.95 3965.09 4793.42 18666.38 17077.71 15094.10 82
v7n71.31 21768.65 22079.28 21576.40 28060.77 20986.71 22789.45 19264.17 23358.77 24278.24 24444.59 23293.54 18357.76 23061.75 25083.52 240
test_040264.54 26161.09 26674.92 25684.10 19760.75 21087.95 20479.71 29252.03 28752.41 27477.20 25232.21 28491.64 22823.14 31861.03 25572.36 305
旧先验191.94 7060.74 21191.50 12394.36 5465.23 4591.84 5094.55 63
ADS-MVSNet266.90 25163.44 25477.26 24488.06 14460.70 21268.01 30575.56 30257.57 26964.48 20969.87 29238.68 24984.10 28640.87 28467.89 20886.97 189
semantic-postprocess76.32 24981.48 21760.67 21385.99 25866.17 22059.50 23578.88 24245.51 22683.65 29262.58 20761.93 24784.63 232
TranMVSNet+NR-MVSNet75.86 17774.52 17179.89 20082.44 21160.64 21491.37 14091.37 12976.63 7567.65 19086.21 15852.37 17291.55 23061.84 21160.81 25787.48 181
pmmvs573.35 20171.52 20378.86 22378.64 26860.61 21591.08 15086.90 24067.69 20863.32 21983.64 18044.33 23390.53 23962.04 21066.02 21785.46 222
MDA-MVSNet_test_wron63.78 26760.16 26874.64 25778.15 27160.41 21683.49 24484.03 27056.17 28039.17 31171.59 28937.22 26583.24 29742.87 27848.73 29780.26 281
Test_1112_low_res79.56 12378.60 11982.43 14688.24 14160.39 21792.09 10487.99 22972.10 14771.84 14287.42 14864.62 5193.04 19065.80 17877.30 15693.85 94
LP56.71 28251.64 28671.91 28080.08 25060.33 21861.72 31375.61 30143.87 31043.76 30360.30 30930.46 29284.05 28722.94 31946.06 30271.34 307
UniMVSNet_NR-MVSNet78.15 14577.55 13379.98 19784.46 19060.26 21992.25 9893.20 6177.50 6468.88 17586.61 15366.10 3892.13 21966.38 17062.55 24287.54 179
DU-MVS76.86 16375.84 15379.91 19982.96 20860.26 21991.26 14491.54 12076.46 7868.88 17586.35 15556.16 11992.13 21966.38 17062.55 24287.35 184
EPP-MVSNet81.79 9081.52 8182.61 14188.77 13060.21 22193.02 7493.66 4168.52 20172.90 12690.39 11972.19 1194.96 12774.93 10579.29 14092.67 122
YYNet163.76 26860.14 26974.62 25878.06 27260.19 22283.46 24683.99 27456.18 27939.25 31071.56 29037.18 26683.34 29542.90 27748.70 29880.32 280
v5269.80 23267.01 23578.15 23171.84 29460.10 22382.02 25687.39 23464.48 23057.80 24775.97 26141.47 24292.90 19863.00 20059.13 26381.45 263
V469.80 23267.02 23478.15 23171.86 29360.10 22382.02 25687.39 23464.48 23057.78 24875.98 26041.49 24192.90 19863.00 20059.16 26281.44 264
IS-MVSNet80.14 11179.41 10882.33 15287.91 14760.08 22591.97 11088.27 22572.90 13271.44 14691.73 10661.44 7893.66 18262.47 20886.53 9393.24 107
HPM-MVS_fast80.25 10879.55 10682.33 15291.55 8159.95 22691.32 14389.16 20365.23 22874.71 11393.07 8047.81 21195.74 10974.87 10888.23 7891.31 146
MDTV_nov1_ep13_2view59.90 22780.13 27467.65 21072.79 12754.33 14959.83 22192.58 125
CPTT-MVS79.59 12279.16 11480.89 18691.54 8259.80 22892.10 10388.54 22060.42 25772.96 12493.28 7548.27 20592.80 20078.89 7986.50 9490.06 156
ACMP71.68 1075.58 18274.23 17579.62 20684.97 18359.64 22990.80 15589.07 20870.39 18062.95 22287.30 14938.28 25493.87 17672.89 11271.45 18785.36 224
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
pmmvs-eth3d65.53 25862.32 26275.19 25469.39 30359.59 23082.80 25383.43 27662.52 24551.30 28072.49 27432.86 27987.16 27755.32 23850.73 28978.83 291
sss82.71 7782.38 7283.73 12289.25 11859.58 23192.24 9994.89 1177.96 5779.86 6692.38 9556.70 11397.05 6277.26 8880.86 13294.55 63
Fast-Effi-MVS+-dtu75.04 18773.37 18680.07 19580.86 22359.52 23291.20 14885.38 26371.90 14965.20 20384.84 17141.46 24392.97 19266.50 16972.96 17687.73 178
FIs79.47 12479.41 10879.67 20485.95 17359.40 23391.68 12993.94 3278.06 5668.96 17488.28 13866.61 3491.77 22666.20 17374.99 16587.82 177
LPG-MVS_test75.82 17874.58 16979.56 20884.31 19359.37 23490.44 16489.73 18569.49 18764.86 20588.42 13538.65 25194.30 15572.56 11672.76 17785.01 227
LGP-MVS_train79.56 20884.31 19359.37 23489.73 18569.49 18764.86 20588.42 13538.65 25194.30 15572.56 11672.76 17785.01 227
Baseline_NR-MVSNet73.99 19772.83 19077.48 23980.78 22459.29 23691.79 12284.55 26768.85 19468.99 17380.70 22256.16 11992.04 22262.67 20660.98 25681.11 272
PS-MVSNAJss77.26 16076.31 14780.13 19480.64 23359.16 23790.63 16291.06 13872.80 13368.58 18084.57 17553.55 15893.96 17272.97 11171.96 18387.27 187
TransMVSNet (Re)70.07 22967.66 23177.31 24380.62 23559.13 23891.78 12484.94 26565.97 22160.08 23380.44 22650.78 18191.87 22448.84 26045.46 30380.94 274
Patchmatch-test65.86 25660.94 26780.62 18783.75 19958.83 23958.91 31875.26 30444.50 30850.95 28277.09 25658.81 9387.90 27235.13 30064.03 23795.12 47
v74870.55 22767.97 23078.27 22875.75 28558.78 24086.29 23189.25 19965.12 22956.66 25377.17 25445.05 23092.95 19358.13 22958.33 26883.10 249
APD-MVS_3200maxsize81.64 9181.32 8382.59 14292.36 6158.74 24191.39 13791.01 14163.35 23779.72 6894.62 5051.82 17496.14 9579.71 7087.93 8192.89 119
PLCcopyleft68.80 1475.23 18573.68 18279.86 20192.93 5258.68 24290.64 16088.30 22360.90 25464.43 21190.53 11742.38 23894.57 13856.52 23376.54 15986.33 199
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
abl_679.82 11879.20 11381.70 17189.85 10758.34 24388.47 19790.07 17262.56 24477.71 8693.08 7847.65 21296.78 8177.94 8585.45 10289.99 158
DeepPCF-MVS81.17 189.72 591.38 384.72 10393.00 5158.16 24496.72 394.41 2686.50 590.25 497.83 175.46 598.67 1192.78 295.49 797.32 1
FMVSNet568.04 24465.66 24075.18 25584.43 19157.89 24583.54 24386.26 25361.83 25153.64 27073.30 26937.15 26785.08 28248.99 25961.77 24982.56 255
ACMM69.62 1374.34 19372.73 19179.17 22084.25 19557.87 24690.36 16789.93 17763.17 24065.64 20286.04 16137.79 26194.10 16265.89 17671.52 18685.55 221
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
OpenMVS_ROBcopyleft61.12 1866.39 25362.92 25876.80 24776.51 27957.77 24789.22 18583.41 27755.48 28153.86 26877.84 24726.28 30293.95 17334.90 30168.76 20178.68 292
UA-Net80.02 11479.65 10281.11 17989.33 11657.72 24886.33 23089.00 21077.44 6581.01 5689.15 13059.33 8795.90 10361.01 21584.28 11389.73 161
testdata81.34 17589.02 12457.72 24889.84 17958.65 26785.32 2994.09 6357.03 10693.28 18769.34 14790.56 6893.03 114
pm-mvs172.89 20471.09 20678.26 22979.10 26457.62 25090.80 15589.30 19767.66 20962.91 22381.78 20749.11 20092.95 19360.29 21958.89 26684.22 233
XVG-OURS74.25 19572.46 19679.63 20578.45 26957.59 25180.33 27087.39 23463.86 23568.76 17789.62 12940.50 24691.72 22769.00 14974.25 16789.58 162
OMC-MVS78.67 13977.91 12980.95 18585.76 17757.40 25288.49 19688.67 21573.85 11572.43 13692.10 9949.29 19694.55 14072.73 11577.89 14990.91 149
XVG-OURS-SEG-HR74.70 19273.08 18879.57 20778.25 27057.33 25380.49 26887.32 23763.22 23968.76 17790.12 12544.89 23191.59 22970.55 13874.09 16989.79 159
mvs-test178.74 13777.95 12781.14 17883.22 20457.13 25493.96 4787.78 23175.42 8772.68 12890.80 11345.08 22894.54 14175.08 10277.49 15391.74 138
ACMH+65.35 1667.65 24664.55 24776.96 24584.59 18757.10 25588.08 20280.79 28858.59 26853.00 27381.09 22026.63 30192.95 19346.51 26761.69 25280.82 275
MDA-MVSNet-bldmvs61.54 27357.70 27473.05 26879.53 25657.00 25683.08 25181.23 28557.57 26934.91 31472.45 27632.79 28086.26 28135.81 29841.95 30775.89 300
MVS-HIRNet60.25 27555.55 28174.35 26084.37 19256.57 25771.64 29674.11 30634.44 31745.54 29742.24 31931.11 29089.81 25840.36 28776.10 16176.67 299
PMMVS81.98 8982.04 7581.78 16789.76 11056.17 25891.13 14990.69 14777.96 5780.09 6493.57 7146.33 22194.99 12681.41 6387.46 8494.17 77
LS3D69.17 23766.40 23777.50 23891.92 7156.12 25985.12 23480.37 29046.96 29956.50 25487.51 14737.25 26493.71 18032.52 30879.40 13782.68 254
F-COLMAP70.66 22568.44 22477.32 24286.37 16755.91 26088.00 20386.32 25156.94 27557.28 25188.07 14233.58 27892.49 21051.02 25268.37 20483.55 238
PatchMatch-RL72.06 21069.98 20978.28 22789.51 11555.70 26183.49 24483.39 27861.24 25363.72 21682.76 18834.77 27693.03 19153.37 24777.59 15286.12 204
FC-MVSNet-test77.99 14678.08 12577.70 23584.89 18455.51 26290.27 16993.75 3876.87 7066.80 20087.59 14565.71 4390.23 24562.89 20373.94 17087.37 182
USDC67.43 25064.51 24876.19 25077.94 27355.29 26378.38 28485.00 26473.17 12648.36 28880.37 22721.23 30992.48 21152.15 24964.02 23880.81 276
Effi-MVS+-dtu76.14 17275.28 16378.72 22483.22 20455.17 26489.87 17687.78 23175.42 8767.98 18581.43 21045.08 22892.52 20975.08 10271.63 18488.48 170
jajsoiax73.05 20271.51 20477.67 23677.46 27554.83 26588.81 19290.04 17469.13 19162.85 22483.51 18231.16 28992.75 20270.83 13469.80 19285.43 223
anonymousdsp71.14 22069.37 21576.45 24872.95 29054.71 26684.19 23988.88 21261.92 24962.15 22879.77 23538.14 25691.44 23668.90 15167.45 21183.21 246
mvs_tets72.71 20771.11 20577.52 23777.41 27654.52 26788.45 19889.76 18168.76 19662.70 22583.26 18529.49 29392.71 20370.51 13969.62 19485.34 225
JIA-IIPM66.06 25562.45 26176.88 24681.42 22054.45 26857.49 31988.67 21549.36 29463.86 21446.86 31556.06 12290.25 24249.53 25868.83 20085.95 211
Patchmatch-RL test68.17 24364.49 24979.19 21971.22 29653.93 26970.07 30071.54 31369.22 19056.79 25262.89 30556.58 11688.61 26569.53 14552.61 28295.03 52
test_djsdf73.76 20072.56 19477.39 24177.00 27853.93 26989.07 19090.69 14765.80 22263.92 21382.03 20343.14 23692.67 20572.83 11368.53 20385.57 220
pmmvs667.57 24764.76 24676.00 25272.82 29253.37 27188.71 19386.78 24153.19 28457.58 25078.03 24635.33 27492.41 21255.56 23754.88 27882.21 256
TinyColmap60.32 27456.42 28072.00 27978.78 26553.18 27278.36 28575.64 30052.30 28641.59 30975.82 26314.76 31888.35 26935.84 29754.71 27974.46 302
COLMAP_ROBcopyleft57.96 2062.98 27059.65 27072.98 26981.44 21953.00 27383.75 24175.53 30348.34 29748.81 28781.40 21224.14 30390.30 24132.95 30560.52 25975.65 301
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
XVG-ACMP-BASELINE68.04 24465.53 24175.56 25374.06 28952.37 27478.43 28385.88 26062.03 24758.91 24181.21 21820.38 31091.15 23760.69 21768.18 20583.16 247
Vis-MVSNet (Re-imp)79.24 12779.57 10378.24 23088.46 13652.29 27590.41 16689.12 20574.24 10569.13 17091.91 10165.77 4290.09 25159.00 22688.09 8092.33 129
TAPA-MVS70.22 1274.94 19073.53 18379.17 22090.40 10052.07 27689.19 18789.61 18962.69 24370.07 15492.67 9048.89 20294.32 15438.26 29379.97 13491.12 147
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
UnsupCasMVSNet_bld61.60 27257.71 27373.29 26768.73 30551.64 27778.61 28289.05 20957.20 27346.11 29261.96 30728.70 29588.60 26650.08 25638.90 31279.63 286
LTVRE_ROB59.60 1966.27 25463.54 25374.45 25984.00 19851.55 27867.08 30883.53 27558.78 26654.94 25880.31 22834.54 27793.23 18840.64 28668.03 20678.58 293
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
WR-MVS_H70.59 22669.94 21072.53 27281.03 22151.43 27987.35 21792.03 10367.38 21360.23 23280.70 22255.84 12683.45 29446.33 26858.58 26782.72 253
AllTest61.66 27158.06 27272.46 27379.57 25451.42 28080.17 27368.61 31651.25 28945.88 29381.23 21419.86 31186.58 27938.98 29057.01 27179.39 287
TestCases72.46 27379.57 25451.42 28068.61 31651.25 28945.88 29381.23 21419.86 31186.58 27938.98 29057.01 27179.39 287
CP-MVSNet70.50 22869.91 21172.26 27580.71 22751.00 28287.23 21890.30 16267.84 20759.64 23482.69 18950.23 18782.30 30151.28 25159.28 26183.46 242
pmmvs355.51 28551.50 28867.53 28957.90 31850.93 28380.37 26973.66 30740.63 31444.15 30264.75 30316.30 31478.97 31244.77 27340.98 31072.69 304
PS-CasMVS69.86 23169.13 21872.07 27880.35 24150.57 28487.02 22189.75 18267.27 21459.19 23782.28 19546.58 21982.24 30250.69 25359.02 26483.39 244
CMPMVSbinary48.56 2166.77 25264.41 25073.84 26370.65 29950.31 28577.79 28885.73 26245.54 30444.76 29982.14 19935.40 27390.14 24863.18 19874.54 16681.07 273
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
UnsupCasMVSNet_eth65.79 25763.10 25673.88 26270.71 29850.29 28681.09 26489.88 17872.58 13649.25 28674.77 26732.57 28287.43 27555.96 23641.04 30983.90 236
SixPastTwentyTwo64.92 25961.78 26574.34 26178.74 26649.76 28783.42 24779.51 29362.86 24250.27 28377.35 24930.92 29190.49 24045.89 27047.06 30082.78 250
PEN-MVS69.46 23668.56 22272.17 27779.27 25949.71 28886.90 22489.24 20067.24 21559.08 23882.51 19047.23 21483.54 29348.42 26257.12 26983.25 245
EPNet_dtu78.80 13579.26 11277.43 24088.06 14449.71 28891.96 11191.95 10777.67 6176.56 10091.28 10958.51 9490.20 24656.37 23480.95 13192.39 128
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
K. test v363.09 26959.61 27173.53 26576.26 28149.38 29083.27 24877.15 29664.35 23247.77 28972.32 27928.73 29487.79 27449.93 25736.69 31483.41 243
DTE-MVSNet68.46 24267.33 23271.87 28177.94 27349.00 29186.16 23288.58 21966.36 21958.19 24482.21 19846.36 22083.87 29144.97 27255.17 27682.73 252
LCM-MVSNet-Re72.93 20371.84 20076.18 25188.49 13448.02 29280.07 27570.17 31473.96 11352.25 27580.09 23349.98 18888.24 27067.35 16084.23 11492.28 132
test0.0.03 172.76 20672.71 19272.88 27080.25 24747.99 29391.22 14689.45 19271.51 16662.51 22787.66 14453.83 15485.06 28350.16 25567.84 21085.58 219
lessismore_v073.72 26472.93 29147.83 29461.72 32445.86 29573.76 26828.63 29689.81 25847.75 26531.37 31883.53 239
Anonymous2023120667.53 24865.78 23872.79 27174.95 28647.59 29588.23 20087.32 23761.75 25258.07 24577.29 25137.79 26187.29 27642.91 27663.71 24083.48 241
OurMVSNet-221017-064.68 26062.17 26372.21 27676.08 28347.35 29680.67 26781.02 28756.19 27851.60 27779.66 23727.05 30088.56 26753.60 24553.63 28180.71 277
ITE_SJBPF70.43 28374.44 28747.06 29777.32 29560.16 25954.04 26683.53 18123.30 30684.01 28943.07 27561.58 25380.21 282
TDRefinement55.28 28651.58 28766.39 29359.53 31746.15 29876.23 29072.80 30844.60 30742.49 30576.28 25915.29 31682.39 30033.20 30443.75 30570.62 309
RPSCF64.24 26361.98 26471.01 28276.10 28245.00 29975.83 29175.94 29946.94 30058.96 24084.59 17431.40 28882.00 30347.76 26460.33 26086.04 210
new-patchmatchnet59.30 27956.48 27967.79 28865.86 30744.19 30082.47 25481.77 28359.94 26043.65 30466.20 29827.67 29781.68 30439.34 28941.40 30877.50 297
MIMVSNet160.16 27657.33 27668.67 28669.71 30244.13 30178.92 28184.21 26855.05 28244.63 30071.85 28323.91 30481.54 30532.63 30755.03 27780.35 279
CVMVSNet74.04 19674.27 17473.33 26685.33 17843.94 30289.53 18288.39 22154.33 28370.37 15090.13 12349.17 19884.05 28761.83 21279.36 13891.99 135
testpf57.17 28056.93 27757.88 30279.13 26342.40 30334.23 32585.97 25952.64 28547.66 29166.50 29636.33 27279.65 30953.60 24556.31 27451.60 318
Anonymous2023121153.57 28849.43 29066.00 29465.01 30842.08 30480.95 26672.60 30938.46 31541.65 30864.48 30415.72 31584.23 28525.78 31540.24 31171.68 306
no-one44.13 29538.39 29661.34 29945.91 32641.94 30561.67 31475.07 30545.05 30620.07 32040.68 32211.58 32179.82 30830.18 31115.30 32262.26 315
PM-MVS59.40 27756.59 27867.84 28763.63 30941.86 30676.76 28963.22 32259.01 26551.07 28172.27 28011.72 32083.25 29661.34 21350.28 29578.39 294
ambc69.61 28461.38 31541.35 30749.07 32285.86 26150.18 28566.40 29710.16 32388.14 27145.73 27144.20 30479.32 289
new_pmnet49.31 29046.44 29257.93 30162.84 31140.74 30868.47 30462.96 32336.48 31635.09 31357.81 31114.97 31772.18 31732.86 30646.44 30160.88 316
testgi64.48 26262.87 25969.31 28571.24 29540.62 30985.49 23379.92 29165.36 22654.18 26583.49 18323.74 30584.55 28441.60 28160.79 25882.77 251
test20.0363.83 26662.65 26067.38 29070.58 30039.94 31086.57 22984.17 26963.29 23851.86 27677.30 25037.09 26882.47 29938.87 29254.13 28079.73 285
LF4IMVS54.01 28752.12 28559.69 30062.41 31239.91 31168.59 30368.28 31842.96 31144.55 30175.18 26414.09 31968.39 32041.36 28351.68 28670.78 308
test235664.16 26463.28 25566.81 29269.37 30439.86 31287.76 21086.02 25759.83 26153.54 27173.23 27034.94 27580.67 30639.66 28865.20 22479.89 283
Gipumacopyleft34.91 29931.44 30145.30 31170.99 29739.64 31319.85 32872.56 31020.10 32416.16 32421.47 3275.08 33171.16 31913.07 32543.70 30625.08 324
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
EU-MVSNet64.01 26563.01 25767.02 29174.40 28838.86 31483.27 24886.19 25445.11 30554.27 26381.15 21936.91 27080.01 30748.79 26157.02 27082.19 257
testus59.36 27857.51 27564.90 29566.72 30637.56 31584.98 23581.09 28657.46 27247.72 29072.76 27111.43 32278.78 31336.56 29458.91 26578.36 295
FPMVS45.64 29443.10 29553.23 30851.42 32136.46 31664.97 31071.91 31129.13 31927.53 31761.55 3089.83 32465.01 32416.00 32455.58 27558.22 317
test123567855.73 28452.74 28464.68 29660.16 31635.56 31781.65 26081.46 28451.27 28838.93 31262.82 30617.44 31378.58 31430.87 31050.09 29679.89 283
ANet_high40.27 29735.20 29855.47 30534.74 33034.47 31863.84 31271.56 31248.42 29618.80 32241.08 3209.52 32564.45 32520.18 3218.66 32967.49 313
111156.66 28354.98 28261.69 29861.99 31331.38 31979.81 27883.17 28045.66 30241.94 30665.44 29941.50 23979.56 31027.64 31247.68 29974.14 303
.test124546.52 29349.68 28937.02 31561.99 31331.38 31979.81 27883.17 28045.66 30241.94 30665.44 29941.50 23979.56 31027.64 3120.01 3310.13 330
LCM-MVSNet40.54 29635.79 29754.76 30736.92 32930.81 32151.41 32069.02 31522.07 32124.63 31845.37 3174.56 33265.81 32233.67 30234.50 31667.67 312
testmv46.98 29243.53 29457.35 30347.75 32430.41 32274.99 29377.69 29442.84 31228.03 31653.36 3128.18 32771.18 31824.36 31734.55 31570.46 310
DSMNet-mixed56.78 28154.44 28363.79 29763.21 31029.44 32364.43 31164.10 32142.12 31351.32 27971.60 28831.76 28575.04 31636.23 29665.20 22486.87 193
PNet_i23d32.77 30029.98 30241.11 31348.05 32229.17 32465.82 30950.02 32721.42 32214.74 32537.19 3231.11 33655.11 32719.75 32211.77 32439.06 320
wuykxyi23d29.03 30323.09 30846.84 31031.67 33228.82 32543.46 32357.72 32514.39 3277.52 33020.84 3280.64 33760.29 32621.57 32010.04 32651.40 319
PMVScopyleft26.43 2231.84 30128.16 30342.89 31225.87 33327.58 32650.92 32149.78 32821.37 32314.17 32640.81 3212.01 33466.62 3219.61 32738.88 31334.49 323
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
MVEpermissive24.84 2324.35 30519.77 30938.09 31434.56 33126.92 32726.57 32638.87 33111.73 32811.37 32727.44 3241.37 33550.42 32811.41 32614.60 32336.93 321
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
PMMVS237.93 29833.61 29950.92 30946.31 32524.76 32860.55 31750.05 32628.94 32020.93 31947.59 3144.41 33365.13 32325.14 31618.55 32162.87 314
DeepMVS_CXcopyleft34.71 31651.45 32024.73 32928.48 33431.46 31817.49 32352.75 3135.80 33042.60 33118.18 32319.42 32036.81 322
test1235647.51 29144.82 29355.56 30452.53 31921.09 33071.45 29776.03 29844.14 30930.69 31558.18 3109.01 32676.14 31526.95 31434.43 31769.46 311
wuyk23d11.30 30910.95 31012.33 32148.05 32219.89 33125.89 3271.92 3363.58 3293.12 3311.37 3320.64 33715.77 3336.23 3307.77 3301.35 328
E-PMN24.61 30424.00 30526.45 31843.74 32718.44 33260.86 31539.66 32915.11 3259.53 32822.10 3266.52 32946.94 3298.31 32810.14 32513.98 326
EMVS23.76 30623.20 30725.46 31941.52 32816.90 33360.56 31638.79 33214.62 3268.99 32920.24 3307.35 32845.82 3307.25 3299.46 32713.64 327
tmp_tt22.26 30723.75 30617.80 3205.23 33412.06 33435.26 32439.48 3302.82 33018.94 32144.20 31822.23 30824.64 33236.30 2959.31 32816.69 325
N_pmnet50.55 28949.11 29154.88 30677.17 2774.02 33584.36 2382.00 33548.59 29545.86 29568.82 29432.22 28382.80 29831.58 30951.38 28777.81 296
test1236.92 3129.21 3130.08 3220.03 3360.05 33681.65 2600.01 3380.02 3320.14 3330.85 3340.03 3390.02 3340.12 3320.00 3330.16 329
testmvs7.23 3119.62 3120.06 3230.04 3350.02 33784.98 2350.02 3370.03 3310.18 3321.21 3330.01 3400.02 3340.14 3310.01 3310.13 330
cdsmvs_eth3d_5k19.86 30826.47 3040.00 3240.00 3370.00 3380.00 32993.45 490.00 3330.00 33495.27 2949.56 1920.00 3360.00 3330.00 3330.00 332
pcd_1.5k_mvsjas4.46 3135.95 3140.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 33553.55 1580.00 3360.00 3330.00 3330.00 332
pcd1.5k->3k31.17 30231.85 30029.12 31781.48 2170.00 3380.00 32991.79 1120.00 3330.00 3340.00 33541.05 2450.00 3360.00 33372.34 18287.36 183
sosnet-low-res0.00 3140.00 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 3350.00 3410.00 3360.00 3330.00 3330.00 332
sosnet0.00 3140.00 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 3350.00 3410.00 3360.00 3330.00 3330.00 332
uncertanet0.00 3140.00 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 3350.00 3410.00 3360.00 3330.00 3330.00 332
Regformer0.00 3140.00 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 3350.00 3410.00 3360.00 3330.00 3330.00 332
ab-mvs-re7.91 31010.55 3110.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 33494.95 390.00 3410.00 3360.00 3330.00 3330.00 332
uanet0.00 3140.00 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.00 3350.00 3410.00 3360.00 3330.00 3330.00 332
sam_mvs157.85 98
sam_mvs54.91 141
MTGPAbinary92.23 93
test_post178.95 28020.70 32953.05 16491.50 23560.43 218
test_post23.01 32556.49 11792.67 205
patchmatchnet-post67.62 29557.62 10190.25 242
MTMP32.52 333
test9_res89.41 994.96 895.29 37
agg_prior286.41 3094.75 1695.33 34
test_prior295.10 2675.40 8985.25 3095.61 2067.94 2487.47 2294.77 13
旧先验292.00 10959.37 26487.54 1593.47 18575.39 99
新几何291.41 136
无先验92.71 8392.61 8462.03 24797.01 6566.63 16693.97 89
原ACMM292.01 107
testdata296.09 9761.26 214
segment_acmp65.94 40
testdata189.21 18677.55 63
plane_prior591.31 13095.55 11976.74 8978.53 14588.39 172
plane_prior489.14 131
plane_prior293.13 7178.81 49
plane_prior187.15 156
n20.00 339
nn0.00 339
door-mid66.01 320
test1193.01 69
door66.57 319
HQP-NCC87.54 15194.06 4279.80 3374.18 115
ACMP_Plane87.54 15194.06 4279.80 3374.18 115
BP-MVS77.63 86
HQP4-MVS74.18 11595.61 11688.63 167
HQP3-MVS91.70 11678.90 142
HQP2-MVS51.63 178
ACMMP++_ref71.63 184
ACMMP++69.72 193
Test By Simon54.21 151