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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort bysort bysort bysort by
ESAPD89.48 189.98 188.01 1094.80 472.69 2991.59 2794.10 175.90 7192.29 195.66 381.67 197.38 187.44 1196.34 493.95 32
DeepPCF-MVS80.84 188.10 888.56 886.73 4392.24 5569.03 8589.57 6893.39 1877.53 3989.79 894.12 2578.98 296.58 2385.66 1495.72 1194.58 8
HSP-MVS89.28 289.76 287.85 2194.28 1873.46 1592.90 892.73 4380.27 1391.35 594.16 2378.35 396.77 1289.59 194.22 4693.33 60
APDe-MVS89.15 389.63 387.73 2394.49 1171.69 4693.83 293.96 575.70 7491.06 696.03 176.84 497.03 789.09 295.65 1594.47 13
CNVR-MVS88.93 689.13 688.33 494.77 573.82 690.51 4393.00 3080.90 1088.06 1394.06 2776.43 596.84 988.48 595.99 694.34 17
MCST-MVS87.37 2187.25 1987.73 2394.53 1072.46 3689.82 5893.82 773.07 13184.86 3992.89 4976.22 696.33 2684.89 2195.13 2494.40 14
CSCG86.41 3686.19 3587.07 3892.91 4572.48 3590.81 3893.56 1273.95 10383.16 6191.07 8375.94 795.19 5979.94 6494.38 4193.55 53
HPM-MVS++copyleft89.02 589.15 588.63 195.01 376.03 192.38 1692.85 3880.26 1487.78 1594.27 1975.89 896.81 1187.45 1096.44 293.05 70
TSAR-MVS + MP.88.02 1288.11 1087.72 2593.68 3072.13 4291.41 3092.35 5674.62 9588.90 993.85 3175.75 996.00 3787.80 694.63 3495.04 2
agg_prior186.22 3986.09 3886.62 4692.85 4671.94 4488.59 9791.78 8168.96 20684.41 4593.18 4274.94 1094.93 6984.75 2495.33 2193.01 74
SD-MVS88.06 988.50 986.71 4492.60 5372.71 2791.81 2693.19 2377.87 3290.32 794.00 2874.83 1193.78 12187.63 894.27 4493.65 49
DELS-MVS85.41 5085.30 4885.77 6188.49 14367.93 11485.52 21093.44 1578.70 2883.63 5889.03 13074.57 1295.71 4280.26 6294.04 4793.66 44
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
Regformer-286.63 3286.53 3086.95 3989.33 11071.24 4988.43 10092.05 6582.50 186.88 1890.09 10274.45 1395.61 4384.38 2790.63 7294.01 29
train_agg86.43 3486.20 3487.13 3693.26 3872.96 2288.75 9291.89 7568.69 20985.00 3293.10 4374.43 1495.41 5284.97 1795.71 1293.02 72
test_893.13 4072.57 3388.68 9591.84 7868.69 20984.87 3893.10 4374.43 1495.16 60
Regformer-186.41 3686.33 3186.64 4589.33 11070.93 5588.43 10091.39 9682.14 386.65 1990.09 10274.39 1695.01 6883.97 3390.63 7293.97 31
TEST993.26 3872.96 2288.75 9291.89 7568.44 21385.00 3293.10 4374.36 1795.41 52
SMA-MVS89.08 489.23 488.61 294.25 1973.73 792.40 1493.63 1074.77 9392.29 195.97 274.28 1897.24 388.58 496.91 194.87 5
test_prior386.73 2986.86 2886.33 5092.61 5169.59 7788.85 8792.97 3575.41 8084.91 3493.54 3374.28 1895.48 4783.31 3595.86 893.91 33
test_prior288.85 8775.41 8084.91 3493.54 3374.28 1883.31 3595.86 8
TSAR-MVS + GP.85.71 4585.33 4686.84 4091.34 6572.50 3489.07 8187.28 21576.41 6085.80 2490.22 10074.15 2195.37 5681.82 4891.88 5992.65 82
SteuartSystems-ACMMP88.72 788.86 788.32 592.14 5772.96 2293.73 393.67 980.19 1588.10 1294.80 773.76 2297.11 587.51 995.82 1094.90 4
Skip Steuart: Steuart Systems R&D Blog.
APD-MVScopyleft87.44 1787.52 1587.19 3494.24 2072.39 3791.86 2592.83 3973.01 13288.58 1094.52 1073.36 2396.49 2484.26 2995.01 2592.70 79
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
canonicalmvs85.91 4285.87 4086.04 5889.84 9269.44 8390.45 4793.00 3076.70 5788.01 1491.23 7773.28 2493.91 11281.50 5288.80 9294.77 6
segment_acmp73.08 25
DPM-MVS84.93 5684.29 5786.84 4090.20 8373.04 2087.12 15293.04 2669.80 18682.85 6591.22 7873.06 2696.02 3576.72 9394.63 3491.46 118
NCCC88.06 988.01 1288.24 694.41 1573.62 891.22 3492.83 3981.50 785.79 2593.47 3773.02 2797.00 884.90 1994.94 2794.10 23
casdiffmvs184.76 5784.33 5686.04 5889.40 10768.78 9289.67 6592.54 4866.43 23885.41 2690.75 9172.88 2894.76 8181.64 5090.24 7794.57 10
agg_prior386.16 4085.85 4187.10 3793.31 3572.86 2688.77 9091.68 8568.29 22184.26 4892.83 5172.83 2995.42 5184.97 1795.71 1293.02 72
nrg03083.88 6083.53 5984.96 7586.77 19769.28 8490.46 4692.67 4474.79 9282.95 6291.33 7672.70 3093.09 15880.79 5879.28 21992.50 87
Regformer-485.68 4685.45 4486.35 4988.95 12769.67 7588.29 11091.29 9881.73 585.36 2890.01 10572.62 3195.35 5783.28 3787.57 10794.03 27
Regformer-385.23 5285.07 5085.70 6288.95 12769.01 8788.29 11089.91 14680.95 985.01 3190.01 10572.45 3294.19 9982.50 4687.57 10793.90 35
CDPH-MVS85.76 4485.29 4987.17 3593.49 3471.08 5088.58 9892.42 5368.32 22084.61 4293.48 3572.32 3396.15 3379.00 6795.43 1794.28 20
MP-MVScopyleft87.71 1387.64 1487.93 1694.36 1773.88 492.71 1392.65 4677.57 3583.84 5394.40 1872.24 3496.28 2885.65 1595.30 2393.62 51
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
DeepC-MVS79.81 287.08 2786.88 2787.69 2791.16 6772.32 4090.31 4993.94 677.12 4482.82 6694.23 2172.13 3597.09 684.83 2295.37 1893.65 49
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
test1286.80 4292.63 5070.70 6091.79 8082.71 6971.67 3696.16 3294.50 3793.54 54
UniMVSNet_NR-MVSNet81.88 8881.54 8682.92 15088.46 14663.46 21087.13 15092.37 5580.19 1578.38 11989.14 12671.66 3793.05 16070.05 15676.46 25392.25 95
DeepC-MVS_fast79.65 386.91 2886.62 2987.76 2293.52 3372.37 3991.26 3193.04 2676.62 5884.22 4993.36 3971.44 3896.76 1380.82 5795.33 2194.16 21
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
MVS_111021_HR85.14 5484.75 5486.32 5291.65 6372.70 2885.98 18890.33 12676.11 6982.08 7491.61 6971.36 3994.17 10181.02 5392.58 5692.08 101
ACMMP_NAP88.05 1188.08 1187.94 1393.70 2873.05 1990.86 3793.59 1176.27 6788.14 1195.09 671.06 4096.67 1687.67 796.37 394.09 24
MP-MVS-pluss87.67 1487.72 1387.54 2993.64 3172.04 4389.80 6093.50 1375.17 8786.34 2095.29 470.86 4196.00 3788.78 396.04 594.58 8
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
HFP-MVS87.58 1587.47 1687.94 1394.58 873.54 1293.04 593.24 2076.78 5384.91 3494.44 1570.78 4296.61 1984.53 2594.89 2993.66 44
#test#87.33 2287.13 2287.94 1394.58 873.54 1292.34 1793.24 2075.23 8484.91 3494.44 1570.78 4296.61 1983.75 3494.89 2993.66 44
EI-MVSNet-Vis-set84.19 5883.81 5885.31 6588.18 15367.85 11587.66 12589.73 15080.05 1782.95 6289.59 11570.74 4494.82 7880.66 5984.72 14393.28 61
GST-MVS87.42 1987.26 1887.89 2094.12 2572.97 2192.39 1593.43 1676.89 5084.68 4093.99 2970.67 4596.82 1084.18 3295.01 2593.90 35
CANet86.45 3386.10 3787.51 3090.09 8670.94 5489.70 6492.59 4781.78 481.32 8491.43 7570.34 4697.23 484.26 2993.36 5094.37 15
alignmvs85.48 4785.32 4785.96 6089.51 10469.47 8189.74 6292.47 4976.17 6887.73 1691.46 7470.32 4793.78 12181.51 5188.95 8894.63 7
EI-MVSNet-UG-set83.81 6183.38 6185.09 7287.87 16167.53 11987.44 13689.66 15179.74 1882.23 7389.41 12470.24 4894.74 8279.95 6383.92 15092.99 75
MVS_Test83.15 7183.06 6683.41 12386.86 19463.21 21786.11 18692.00 6974.31 9882.87 6489.44 12370.03 4993.21 14977.39 8488.50 10193.81 40
FC-MVSNet-test81.52 9582.02 8180.03 22088.42 14855.97 29887.95 11993.42 1777.10 4577.38 14490.98 8969.96 5091.79 19768.46 17184.50 14592.33 91
FIs82.07 8582.42 7381.04 20588.80 13458.34 26088.26 11293.49 1476.93 4978.47 11591.04 8469.92 5192.34 18369.87 15984.97 14092.44 89
UniMVSNet (Re)81.60 9481.11 9283.09 13788.38 14964.41 18887.60 12693.02 2978.42 3178.56 11288.16 15269.78 5293.26 14869.58 16276.49 25291.60 110
casdiffmvs83.96 5983.25 6386.07 5688.48 14469.60 7689.26 7392.40 5468.07 22282.82 6690.03 10469.77 5394.86 7781.79 4986.64 12493.75 42
HPM-MVScopyleft87.11 2586.98 2487.50 3193.88 2772.16 4192.19 2093.33 1976.07 7083.81 5493.95 3069.77 5396.01 3685.15 1694.66 3394.32 19
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
Effi-MVS+83.62 6583.08 6585.24 6888.38 14967.45 12088.89 8589.15 16875.50 7982.27 7288.28 14969.61 5594.45 8977.81 7987.84 10593.84 39
PHI-MVS86.43 3486.17 3687.24 3390.88 7370.96 5292.27 1994.07 472.45 14385.22 3091.90 6269.47 5696.42 2583.28 3795.94 794.35 16
UA-Net85.08 5584.96 5185.45 6392.07 5868.07 11289.78 6190.86 10982.48 284.60 4393.20 4169.35 5795.22 5871.39 14790.88 7093.07 69
旧先验191.96 5965.79 14786.37 22593.08 4769.31 5892.74 5488.74 221
region2R87.42 1987.20 2188.09 794.63 773.55 1093.03 793.12 2576.73 5684.45 4494.52 1069.09 5996.70 1584.37 2894.83 3194.03 27
EPP-MVSNet83.40 6983.02 6784.57 8390.13 8464.47 18692.32 1890.73 11074.45 9779.35 10391.10 8169.05 6095.12 6172.78 13087.22 11494.13 22
ACMMPR87.44 1787.23 2088.08 894.64 673.59 993.04 593.20 2276.78 5384.66 4194.52 1068.81 6196.65 1784.53 2594.90 2894.00 30
mvs_anonymous79.42 15079.11 13580.34 21484.45 22657.97 26682.59 26187.62 20967.40 23176.17 17488.56 14268.47 6289.59 25070.65 15186.05 13393.47 56
zzz-MVS87.53 1687.41 1787.90 1794.18 2374.25 290.23 5192.02 6679.45 1985.88 2294.80 768.07 6396.21 3086.69 1295.34 1993.23 62
MTAPA87.23 2387.00 2387.90 1794.18 2374.25 286.58 17192.02 6679.45 1985.88 2294.80 768.07 6396.21 3086.69 1295.34 1993.23 62
CP-MVS87.11 2586.92 2587.68 2894.20 2273.86 593.98 192.82 4176.62 5883.68 5594.46 1467.93 6595.95 3984.20 3194.39 4093.23 62
PAPM_NR83.02 7482.41 7484.82 8092.47 5466.37 13787.93 12191.80 7973.82 11277.32 14690.66 9367.90 6694.90 7370.37 15389.48 8593.19 66
PGM-MVS86.68 3086.27 3387.90 1794.22 2173.38 1690.22 5293.04 2675.53 7883.86 5294.42 1767.87 6796.64 1882.70 4494.57 3693.66 44
PAPR81.66 9380.89 9583.99 10790.27 8164.00 19786.76 16791.77 8368.84 20777.13 15389.50 11667.63 6894.88 7567.55 17588.52 10093.09 68
Fast-Effi-MVS+80.81 11079.92 10983.47 11988.85 12964.51 18085.53 20889.39 15970.79 16978.49 11485.06 24867.54 6993.58 13367.03 18486.58 12592.32 92
XVS87.18 2486.91 2688.00 1194.42 1373.33 1792.78 992.99 3279.14 2183.67 5694.17 2267.45 7096.60 2183.06 3994.50 3794.07 25
X-MVStestdata80.37 12777.83 16288.00 1194.42 1373.33 1792.78 992.99 3279.14 2183.67 5612.47 36667.45 7096.60 2183.06 3994.50 3794.07 25
diffmvs182.63 7882.51 7282.96 14983.87 24963.47 20985.19 21289.42 15875.58 7781.38 8389.89 10767.42 7291.69 20781.01 5488.88 9093.71 43
NR-MVSNet80.23 13079.38 12582.78 16387.80 17163.34 21386.31 17991.09 10479.01 2672.17 23389.07 12867.20 7392.81 17166.08 19075.65 26292.20 97
MSLP-MVS++85.43 4985.76 4384.45 8791.93 6070.24 6390.71 4092.86 3777.46 4184.22 4992.81 5467.16 7492.94 16580.36 6094.35 4290.16 162
MG-MVS83.41 6883.45 6083.28 12692.74 4862.28 23188.17 11489.50 15575.22 8581.49 8292.74 5566.75 7595.11 6272.85 12991.58 6292.45 88
EI-MVSNet80.52 12179.98 10882.12 17484.28 22763.19 21986.41 17688.95 18074.18 10078.69 10987.54 17066.62 7692.43 17872.57 13580.57 19990.74 136
IterMVS-LS80.06 13679.38 12582.11 17585.89 20463.20 21886.79 16489.34 16074.19 9975.45 18786.72 19266.62 7692.39 18072.58 13476.86 24490.75 135
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
mPP-MVS86.67 3186.32 3287.72 2594.41 1573.55 1092.74 1192.22 5976.87 5182.81 6894.25 2066.44 7896.24 2982.88 4394.28 4393.38 57
WR-MVS_H78.51 16778.49 14678.56 25188.02 15856.38 29388.43 10092.67 4477.14 4373.89 20987.55 16966.25 7989.24 25758.92 24673.55 28690.06 171
PCF-MVS73.52 780.38 12678.84 14085.01 7487.71 17668.99 8883.65 24791.46 9563.00 27277.77 13890.28 9766.10 8095.09 6661.40 22688.22 10490.94 130
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
EPNet83.72 6382.92 6986.14 5584.22 23069.48 8091.05 3685.27 23581.30 876.83 15491.65 6666.09 8195.56 4576.00 9793.85 4893.38 57
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
原ACMM184.35 9193.01 4468.79 9192.44 5063.96 26781.09 8991.57 7066.06 8295.45 4967.19 18194.82 3288.81 218
PVSNet_BlendedMVS80.60 11880.02 10782.36 17288.85 12965.40 15386.16 18492.00 6969.34 19578.11 13186.09 22166.02 8394.27 9371.52 14582.06 18187.39 255
PVSNet_Blended80.98 10480.34 10382.90 15188.85 12965.40 15384.43 23492.00 6967.62 22678.11 13185.05 24966.02 8394.27 9371.52 14589.50 8489.01 209
APD-MVS_3200maxsize85.97 4185.88 3986.22 5392.69 4969.53 7991.93 2492.99 3273.54 11885.94 2194.51 1365.80 8595.61 4383.04 4192.51 5793.53 55
diffmvs81.48 9881.21 9182.31 17383.28 26462.72 22685.09 21688.63 19374.99 8878.31 12288.81 13465.80 8591.36 21979.03 6686.95 11892.84 78
PVSNet_Blended_VisFu82.62 7981.83 8484.96 7590.80 7569.76 7388.74 9491.70 8469.39 19278.96 10688.46 14465.47 8794.87 7674.42 11388.57 9790.24 160
API-MVS81.99 8781.23 8984.26 9590.94 7170.18 6991.10 3589.32 16171.51 16178.66 11188.28 14965.26 8895.10 6564.74 20291.23 6787.51 253
TranMVSNet+NR-MVSNet80.84 10780.31 10482.42 17087.85 16262.33 22987.74 12491.33 9780.55 1277.99 13489.86 10865.23 8992.62 17367.05 18375.24 27192.30 93
IS-MVSNet83.15 7182.81 7084.18 9789.94 9063.30 21491.59 2788.46 19679.04 2579.49 10192.16 5665.10 9094.28 9267.71 17391.86 6094.95 3
DU-MVS81.12 10380.52 10082.90 15187.80 17163.46 21087.02 15691.87 7779.01 2678.38 11989.07 12865.02 9193.05 16070.05 15676.46 25392.20 97
Baseline_NR-MVSNet78.15 17678.33 15377.61 26585.79 20556.21 29686.78 16585.76 23273.60 11677.93 13587.57 16865.02 9188.99 26867.14 18275.33 26887.63 250
VNet82.21 8382.41 7481.62 19290.82 7460.93 23984.47 23089.78 14876.36 6584.07 5191.88 6364.71 9390.26 24070.68 15088.89 8993.66 44
MVS_030486.37 3885.81 4288.02 990.13 8472.39 3789.66 6692.75 4281.64 682.66 7192.04 5864.44 9497.35 284.76 2394.25 4594.33 18
Test By Simon64.33 95
ACMMPcopyleft85.89 4385.39 4587.38 3293.59 3272.63 3192.74 1193.18 2476.78 5380.73 9393.82 3264.33 9596.29 2782.67 4590.69 7193.23 62
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
DP-MVS Recon83.11 7382.09 7986.15 5494.44 1270.92 5688.79 8992.20 6070.53 17579.17 10491.03 8664.12 9796.03 3468.39 17290.14 7891.50 114
CLD-MVS82.31 8281.65 8584.29 9488.47 14567.73 11885.81 19792.35 5675.78 7278.33 12186.58 20564.01 9894.35 9076.05 9687.48 11290.79 133
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
MVS78.19 17576.99 17981.78 18285.66 20766.99 12884.66 22490.47 11955.08 32972.02 23885.27 24463.83 9994.11 10466.10 18989.80 8284.24 307
WR-MVS79.49 14779.22 13480.27 21788.79 13558.35 25985.06 21788.61 19478.56 2977.65 13988.34 14763.81 10090.66 23764.98 20077.22 23691.80 109
112180.84 10779.77 11284.05 10293.11 4270.78 5884.66 22485.42 23457.37 31981.76 8192.02 5963.41 10194.12 10267.28 17892.93 5287.26 260
VPA-MVSNet80.60 11880.55 9980.76 20988.07 15660.80 24286.86 16191.58 8875.67 7580.24 9689.45 12263.34 10290.25 24170.51 15279.22 22091.23 122
新几何183.42 12193.13 4070.71 5985.48 23357.43 31881.80 7891.98 6063.28 10392.27 18464.60 20392.99 5187.27 259
HY-MVS69.67 1277.95 18277.15 17680.36 21387.57 18360.21 24783.37 25887.78 20766.11 24175.37 19087.06 18763.27 10490.48 23961.38 22782.43 17990.40 157
XXY-MVS75.41 23575.56 20674.96 29583.59 25757.82 27080.59 28083.87 25066.54 23774.93 20388.31 14863.24 10580.09 32262.16 21876.85 24586.97 267
ab-mvs79.51 14678.97 13881.14 20388.46 14660.91 24083.84 24589.24 16670.36 17779.03 10588.87 13263.23 10690.21 24265.12 19782.57 17892.28 94
xiu_mvs_v2_base81.69 9181.05 9383.60 11689.15 12168.03 11384.46 23290.02 14070.67 17281.30 8786.53 20863.17 10794.19 9975.60 10588.54 9988.57 232
pcd_1.5k_mvsjas5.26 3517.02 3520.00 3600.00 3750.00 3750.00 3670.00 3770.00 3700.00 3720.00 37263.15 1080.00 3720.00 3690.00 3700.00 370
PS-MVSNAJss82.07 8581.31 8784.34 9286.51 19967.27 12589.27 7291.51 9171.75 15579.37 10290.22 10063.15 10894.27 9377.69 8082.36 18091.49 115
PS-MVSNAJ81.69 9181.02 9483.70 11489.51 10468.21 11084.28 23990.09 13670.79 16981.26 8885.62 23763.15 10894.29 9175.62 10488.87 9188.59 230
WTY-MVS75.65 23175.68 20575.57 29086.40 20056.82 28477.92 30582.40 27165.10 25276.18 17287.72 16363.13 11180.90 31860.31 23481.96 18289.00 211
TransMVSNet (Re)75.39 23674.56 22677.86 26085.50 21157.10 27986.78 16586.09 23072.17 15271.53 24387.34 17363.01 11289.31 25656.84 26561.83 33587.17 262
v879.97 13979.02 13782.80 16084.09 24064.50 18487.96 11890.29 12974.13 10275.24 19686.81 18962.88 11393.89 11474.39 11475.40 26790.00 173
v1877.67 19176.35 19381.64 19184.09 24064.47 18687.27 14389.01 17372.59 14269.39 27082.04 28362.85 11491.80 19672.72 13167.20 31688.63 224
v680.40 12379.54 11882.98 14484.09 24064.50 18487.57 12890.22 13073.25 12478.47 11586.63 20262.84 11593.86 11575.73 9977.02 23990.58 147
v1neww80.40 12379.54 11882.98 14484.10 23864.51 18087.57 12890.22 13073.25 12478.47 11586.65 20062.83 11693.86 11575.72 10077.02 23990.58 147
v7new80.40 12379.54 11882.98 14484.10 23864.51 18087.57 12890.22 13073.25 12478.47 11586.65 20062.83 11693.86 11575.72 10077.02 23990.58 147
v1777.68 18976.35 19381.69 18884.15 23564.65 17587.33 14088.99 17572.70 14069.25 27482.07 28262.82 11891.79 19772.69 13367.15 31788.63 224
v1677.69 18876.36 19281.68 18984.15 23564.63 17787.33 14088.99 17572.69 14169.31 27382.08 28162.80 11991.79 19772.70 13267.23 31588.63 224
abl_685.23 5284.95 5286.07 5692.23 5670.48 6290.80 3992.08 6473.51 11985.26 2994.16 2362.75 12095.92 4082.46 4791.30 6691.81 108
v1577.51 19676.12 19681.66 19084.09 24064.65 17587.14 14788.96 17972.76 13868.90 27581.91 29062.74 12191.73 20172.32 13766.29 32388.61 227
v180.19 13279.31 12882.85 15483.83 25364.12 19487.14 14790.07 13973.13 12778.27 12486.38 21562.72 12293.75 12575.41 10676.82 24890.68 138
divwei89l23v2f11280.19 13279.31 12882.85 15483.84 25164.11 19687.13 15090.08 13773.13 12778.27 12486.39 21162.69 12393.75 12575.40 10776.82 24890.68 138
V1477.52 19476.12 19681.70 18784.15 23564.77 17287.21 14688.95 18072.80 13768.79 27681.94 28962.69 12391.72 20372.31 13866.27 32488.60 228
v114180.19 13279.31 12882.85 15483.84 25164.12 19487.14 14790.08 13773.13 12778.27 12486.39 21162.67 12593.75 12575.40 10776.83 24790.68 138
V977.52 19476.11 19981.73 18684.19 23464.89 16987.26 14488.94 18372.87 13668.65 27981.96 28862.65 12691.72 20372.27 13966.24 32588.60 228
HPM-MVS_fast85.35 5184.95 5286.57 4893.69 2970.58 6192.15 2291.62 8673.89 10782.67 7094.09 2662.60 12795.54 4680.93 5592.93 5293.57 52
PAPM77.68 18976.40 18881.51 19587.29 18961.85 23583.78 24689.59 15264.74 25771.23 24588.70 13562.59 12893.66 13252.66 28187.03 11789.01 209
1112_ss77.40 20276.43 18780.32 21589.11 12660.41 24683.65 24787.72 20862.13 28373.05 21686.72 19262.58 12989.97 24462.11 22080.80 19590.59 146
v1277.51 19676.09 20081.76 18584.22 23064.99 16687.30 14288.93 18472.92 13368.48 28381.97 28662.54 13091.70 20672.24 14066.21 32788.58 231
v1377.50 19876.07 20181.77 18384.23 22965.07 16587.34 13988.91 18572.92 13368.35 28481.97 28662.53 13191.69 20772.20 14166.22 32688.56 233
LCM-MVSNet-Re77.05 20576.94 18077.36 27087.20 19051.60 32880.06 28380.46 29475.20 8667.69 28886.72 19262.48 13288.98 26963.44 20789.25 8791.51 113
v14878.72 16477.80 16381.47 19682.73 27961.96 23486.30 18088.08 20273.26 12376.18 17285.47 24162.46 13392.36 18271.92 14473.82 28490.09 167
MAR-MVS81.84 8980.70 9685.27 6791.32 6671.53 4889.82 5890.92 10669.77 18778.50 11386.21 21862.36 13494.52 8765.36 19592.05 5889.77 191
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
MVS_111021_LR82.61 8082.11 7884.11 9888.82 13271.58 4785.15 21586.16 22874.69 9480.47 9591.04 8462.29 13590.55 23880.33 6190.08 7990.20 161
TAMVS78.89 16377.51 17183.03 14187.80 17167.79 11784.72 22385.05 23867.63 22576.75 15687.70 16462.25 13690.82 23458.53 25187.13 11590.49 152
CP-MVSNet78.22 17278.34 15277.84 26187.83 16954.54 30987.94 12091.17 10277.65 3373.48 21188.49 14362.24 13788.43 27862.19 21774.07 27990.55 150
OMC-MVS82.69 7781.97 8384.85 7988.75 13767.42 12187.98 11790.87 10874.92 9179.72 9991.65 6662.19 13893.96 10775.26 10986.42 12893.16 67
v1177.45 19976.06 20281.59 19484.22 23064.52 17887.11 15389.02 17172.76 13868.76 27781.90 29162.09 13991.71 20571.98 14266.73 31888.56 233
testdata79.97 22190.90 7264.21 19184.71 23959.27 30485.40 2792.91 4862.02 14089.08 26668.95 16791.37 6586.63 275
MVSFormer82.85 7682.05 8085.24 6887.35 18470.21 6490.50 4490.38 12168.55 21181.32 8489.47 11861.68 14193.46 14078.98 6890.26 7592.05 102
lupinMVS81.39 9980.27 10684.76 8187.35 18470.21 6485.55 20686.41 22362.85 27581.32 8488.61 13961.68 14192.24 18678.41 7490.26 7591.83 106
cdsmvs_eth3d_5k19.96 34526.61 3450.00 3600.00 3750.00 3750.00 36789.26 1650.00 3700.00 37288.61 13961.62 1430.00 3720.00 3690.00 3700.00 370
CDS-MVSNet79.07 15877.70 16783.17 13387.60 17968.23 10984.40 23686.20 22767.49 22976.36 16586.54 20761.54 14490.79 23561.86 22287.33 11390.49 152
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
v1079.74 14378.67 14182.97 14884.06 24564.95 16787.88 12390.62 11473.11 13075.11 19986.56 20661.46 14594.05 10573.68 11975.55 26489.90 181
v780.24 12979.26 13283.15 13484.07 24464.94 16887.56 13190.67 11172.26 15078.28 12386.51 20961.45 14694.03 10675.14 11077.41 23390.49 152
v114480.03 13779.03 13683.01 14283.78 25464.51 18087.11 15390.57 11671.96 15478.08 13386.20 21961.41 14793.94 10974.93 11177.23 23590.60 144
BH-w/o78.21 17377.33 17480.84 20788.81 13365.13 16384.87 22087.85 20669.75 18874.52 20684.74 25561.34 14893.11 15758.24 25485.84 13684.27 306
Test_1112_low_res76.40 21875.44 21079.27 23689.28 11658.09 26281.69 27087.07 21759.53 30272.48 22386.67 19861.30 14989.33 25560.81 23280.15 20590.41 156
Vis-MVSNet (Re-imp)78.36 17078.45 14778.07 25988.64 13951.78 32786.70 16879.63 30374.14 10175.11 19990.83 9061.29 15089.75 24758.10 25591.60 6192.69 81
PEN-MVS77.73 18777.69 16877.84 26187.07 19253.91 31387.91 12291.18 10177.56 3773.14 21588.82 13361.23 15189.17 26459.95 23672.37 29290.43 155
pm-mvs177.25 20476.68 18478.93 24584.22 23058.62 25786.41 17688.36 19771.37 16373.31 21288.01 15761.22 15289.15 26564.24 20473.01 28889.03 208
BH-untuned79.47 14878.60 14382.05 17689.19 12065.91 14486.07 18788.52 19572.18 15175.42 18887.69 16561.15 15393.54 13760.38 23386.83 12186.70 273
v2v48280.23 13079.29 13183.05 14083.62 25664.14 19287.04 15589.97 14173.61 11578.18 13087.22 17861.10 15493.82 11876.11 9576.78 25091.18 123
jason81.39 9980.29 10584.70 8286.63 19869.90 7185.95 18986.77 21963.24 26981.07 9089.47 11861.08 15592.15 18778.33 7590.07 8092.05 102
jason: jason.
Vis-MVSNetpermissive83.46 6782.80 7185.43 6490.25 8268.74 9690.30 5090.13 13576.33 6680.87 9292.89 4961.00 15694.20 9872.45 13690.97 6893.35 59
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
TAPA-MVS73.13 979.15 15677.94 15982.79 16289.59 9962.99 22488.16 11591.51 9165.77 24677.14 15291.09 8260.91 15793.21 14950.26 29187.05 11692.17 99
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
PS-CasMVS78.01 18078.09 15677.77 26387.71 17654.39 31188.02 11691.22 9977.50 4073.26 21388.64 13860.73 15888.41 27961.88 22173.88 28390.53 151
OPM-MVS83.50 6682.95 6885.14 7088.79 13570.95 5389.13 8091.52 9077.55 3880.96 9191.75 6460.71 15994.50 8879.67 6586.51 12789.97 180
XVG-OURS-SEG-HR80.81 11079.76 11383.96 10985.60 20968.78 9283.54 25090.50 11870.66 17376.71 15791.66 6560.69 16091.26 22276.94 8981.58 18791.83 106
v14419279.47 14878.37 15182.78 16383.35 26163.96 19886.96 15790.36 12469.99 18377.50 14185.67 23460.66 16193.77 12374.27 11576.58 25190.62 142
V4279.38 15378.24 15582.83 15781.10 30265.50 15285.55 20689.82 14771.57 16078.21 12886.12 22060.66 16193.18 15375.64 10375.46 26689.81 186
CPTT-MVS83.73 6283.33 6284.92 7893.28 3770.86 5792.09 2390.38 12168.75 20879.57 10092.83 5160.60 16393.04 16280.92 5691.56 6390.86 132
DTE-MVSNet76.99 20676.80 18277.54 26786.24 20153.06 32487.52 13390.66 11377.08 4672.50 22188.67 13760.48 16489.52 25157.33 26270.74 30390.05 172
HQP_MVS83.64 6483.14 6485.14 7090.08 8768.71 9891.25 3292.44 5079.12 2378.92 10791.00 8760.42 16595.38 5478.71 7086.32 12991.33 119
plane_prior689.84 9268.70 10060.42 165
3Dnovator+77.84 485.48 4784.47 5588.51 391.08 6873.49 1493.18 493.78 880.79 1176.66 15893.37 3860.40 16796.75 1477.20 8593.73 4995.29 1
HQP2-MVS60.17 168
HQP-MVS82.61 8082.02 8184.37 8989.33 11066.98 12989.17 7592.19 6176.41 6077.23 14990.23 9960.17 16895.11 6277.47 8285.99 13491.03 126
VPNet78.69 16578.66 14278.76 24888.31 15155.72 30484.45 23386.63 22176.79 5278.26 12790.55 9559.30 17089.70 24966.63 18577.05 23890.88 131
v119279.59 14578.43 15083.07 13983.55 25864.52 17886.93 15990.58 11570.83 16877.78 13785.90 22859.15 17193.94 10973.96 11877.19 23790.76 134
test22291.50 6468.26 10884.16 24083.20 26454.63 33079.74 9891.63 6858.97 17291.42 6486.77 271
CHOSEN 1792x268877.63 19275.69 20483.44 12089.98 8968.58 10378.70 29887.50 21256.38 32475.80 17986.84 18858.67 17391.40 21861.58 22585.75 13790.34 158
3Dnovator76.31 583.38 7082.31 7786.59 4787.94 16072.94 2590.64 4192.14 6377.21 4275.47 18592.83 5158.56 17494.72 8373.24 12792.71 5592.13 100
v192192079.22 15578.03 15782.80 16083.30 26363.94 19986.80 16390.33 12669.91 18477.48 14285.53 23958.44 17593.75 12573.60 12276.85 24590.71 137
v74877.97 18176.65 18581.92 18182.29 28663.28 21587.53 13290.35 12573.50 12070.76 24985.55 23858.28 17692.81 17168.81 16972.76 29189.67 193
114514_t80.68 11679.51 12184.20 9694.09 2667.27 12589.64 6791.11 10358.75 30974.08 20890.72 9258.10 17795.04 6769.70 16089.42 8690.30 159
v7n78.97 16177.58 17083.14 13583.45 26065.51 15188.32 10891.21 10073.69 11472.41 23086.32 21657.93 17893.81 11969.18 16575.65 26290.11 165
QAPM80.88 10579.50 12285.03 7388.01 15968.97 8991.59 2792.00 6966.63 23675.15 19892.16 5657.70 17995.45 4963.52 20688.76 9390.66 141
HyFIR lowres test77.53 19375.40 21283.94 11089.59 9966.62 13380.36 28188.64 19256.29 32576.45 16185.17 24557.64 18093.28 14761.34 22883.10 17091.91 104
CNLPA78.08 17776.79 18381.97 17990.40 8071.07 5187.59 12784.55 24166.03 24472.38 23189.64 11257.56 18186.04 29659.61 23983.35 16588.79 219
test_yl81.17 10180.47 10183.24 12989.13 12263.62 20286.21 18289.95 14272.43 14681.78 7989.61 11357.50 18293.58 13370.75 14886.90 11992.52 85
DCV-MVSNet81.17 10180.47 10183.24 12989.13 12263.62 20286.21 18289.95 14272.43 14681.78 7989.61 11357.50 18293.58 13370.75 14886.90 11992.52 85
sss73.60 25173.64 23673.51 30582.80 27755.01 30676.12 31181.69 28362.47 28074.68 20585.85 23157.32 18478.11 33060.86 23180.93 19287.39 255
Effi-MVS+-dtu80.03 13778.57 14584.42 8885.13 21768.74 9688.77 9088.10 20074.99 8874.97 20283.49 26857.27 18593.36 14573.53 12380.88 19391.18 123
mvs-test180.88 10579.40 12485.29 6685.13 21769.75 7489.28 7188.10 20074.99 8876.44 16486.72 19257.27 18594.26 9773.53 12383.18 16891.87 105
DI_MVS_plusplus_test79.89 14078.58 14483.85 11382.89 27665.32 15786.12 18589.55 15369.64 19170.55 25085.82 23257.24 18793.81 11976.85 9088.55 9892.41 90
AdaColmapbinary80.58 12079.42 12384.06 10193.09 4368.91 9089.36 7088.97 17869.27 19675.70 18489.69 11057.20 18895.77 4163.06 21088.41 10287.50 254
test_normal79.81 14178.45 14783.89 11282.70 28065.40 15385.82 19689.48 15669.39 19270.12 25985.66 23557.15 18993.71 13177.08 8788.62 9692.56 84
v124078.99 16077.78 16482.64 16783.21 26563.54 20686.62 17090.30 12869.74 19077.33 14585.68 23357.04 19093.76 12473.13 12876.92 24290.62 142
BH-RMVSNet79.61 14478.44 14983.14 13589.38 10965.93 14384.95 21987.15 21673.56 11778.19 12989.79 10956.67 19193.36 14559.53 24186.74 12290.13 164
test_djsdf80.30 12879.32 12783.27 12783.98 24765.37 15690.50 4490.38 12168.55 21176.19 17188.70 13556.44 19293.46 14078.98 6880.14 20690.97 129
pcd1.5k->3k34.07 34135.26 34130.50 35486.92 1930.00 3750.00 36791.58 880.00 3700.00 3720.00 37256.23 1930.00 3720.00 36982.60 17791.49 115
EPNet_dtu75.46 23374.86 22277.23 27382.57 28354.60 30886.89 16083.09 26571.64 15666.25 30285.86 23055.99 19488.04 28354.92 27186.55 12689.05 206
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
V477.95 18276.37 18982.67 16579.40 32165.52 14986.43 17489.94 14472.28 14872.14 23684.95 25055.72 19593.44 14273.64 12072.86 28989.05 206
v5277.94 18476.37 18982.67 16579.39 32265.52 14986.43 17489.94 14472.28 14872.15 23584.94 25155.70 19693.44 14273.64 12072.84 29089.06 202
CostFormer75.24 23773.90 23479.27 23682.65 28258.27 26180.80 27682.73 26961.57 28675.33 19483.13 27055.52 19791.07 23164.98 20078.34 22688.45 236
tpmrst72.39 26872.13 25673.18 30780.54 30749.91 33779.91 28679.08 30663.11 27071.69 24179.95 30755.32 19882.77 31365.66 19473.89 28286.87 268
131476.53 21375.30 21680.21 21883.93 24862.32 23084.66 22488.81 18660.23 29570.16 25884.07 26055.30 19990.73 23667.37 17783.21 16787.59 252
tfpnnormal74.39 24073.16 24078.08 25886.10 20358.05 26384.65 22787.53 21170.32 17871.22 24685.63 23654.97 20089.86 24543.03 33475.02 27286.32 281
GBi-Net78.40 16877.40 17281.40 19887.60 17963.01 22188.39 10489.28 16271.63 15775.34 19187.28 17454.80 20191.11 22562.72 21179.57 21490.09 167
test178.40 16877.40 17281.40 19887.60 17963.01 22188.39 10489.28 16271.63 15775.34 19187.28 17454.80 20191.11 22562.72 21179.57 21490.09 167
FMVSNet278.20 17477.21 17581.20 20187.60 17962.89 22587.47 13589.02 17171.63 15775.29 19587.28 17454.80 20191.10 22862.38 21579.38 21789.61 194
Fast-Effi-MVS+-dtu78.02 17976.49 18682.62 16883.16 26966.96 13186.94 15887.45 21472.45 14371.49 24484.17 25854.79 20491.58 21567.61 17480.31 20389.30 198
MVSTER79.01 15977.88 16182.38 17183.07 27064.80 17184.08 24388.95 18069.01 20578.69 10987.17 18154.70 20592.43 17874.69 11280.57 19989.89 182
OpenMVScopyleft72.83 1079.77 14278.33 15384.09 10085.17 21469.91 7090.57 4290.97 10566.70 23272.17 23391.91 6154.70 20593.96 10761.81 22390.95 6988.41 238
XVG-OURS80.41 12279.23 13383.97 10885.64 20869.02 8683.03 26090.39 12071.09 16677.63 14091.49 7354.62 20791.35 22075.71 10283.47 16091.54 112
LPG-MVS_test82.08 8481.27 8884.50 8589.23 11868.76 9490.22 5291.94 7375.37 8276.64 15991.51 7154.29 20894.91 7178.44 7283.78 15189.83 184
LGP-MVS_train84.50 8589.23 11868.76 9491.94 7375.37 8276.64 15991.51 7154.29 20894.91 7178.44 7283.78 15189.83 184
TR-MVS77.44 20076.18 19581.20 20188.24 15263.24 21684.61 22886.40 22467.55 22877.81 13686.48 21054.10 21093.15 15457.75 25882.72 17587.20 261
FMVSNet377.88 18576.85 18180.97 20686.84 19562.36 22886.52 17388.77 18771.13 16475.34 19186.66 19954.07 21191.10 22862.72 21179.57 21489.45 196
DP-MVS76.78 20974.57 22583.42 12193.29 3669.46 8288.55 9983.70 25163.98 26670.20 25588.89 13154.01 21294.80 7946.66 31481.88 18486.01 289
ACMP74.13 681.51 9780.57 9884.36 9089.42 10668.69 10189.97 5691.50 9474.46 9675.04 20190.41 9653.82 21394.54 8577.56 8182.91 17189.86 183
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
PLCcopyleft70.83 1178.05 17876.37 18983.08 13891.88 6267.80 11688.19 11389.46 15764.33 26269.87 26588.38 14653.66 21493.58 13358.86 24782.73 17487.86 246
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
CANet_DTU80.61 11779.87 11082.83 15785.60 20963.17 22087.36 13788.65 19176.37 6475.88 17788.44 14553.51 21593.07 15973.30 12689.74 8392.25 95
ACMM73.20 880.78 11579.84 11183.58 11789.31 11568.37 10589.99 5591.60 8770.28 17977.25 14789.66 11153.37 21693.53 13874.24 11682.85 17288.85 216
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MVP-Stereo76.12 22574.46 22981.13 20485.37 21269.79 7284.42 23587.95 20465.03 25467.46 29085.33 24353.28 21791.73 20158.01 25683.27 16681.85 326
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
anonymousdsp78.60 16677.15 17682.98 14480.51 30867.08 12787.24 14589.53 15465.66 24875.16 19787.19 18052.52 21892.25 18577.17 8679.34 21889.61 194
CR-MVSNet73.37 25871.27 26479.67 22881.32 30065.19 16175.92 31380.30 29659.92 29872.73 21981.19 29452.50 21986.69 29059.84 23777.71 22887.11 265
Patchmtry70.74 27869.16 27775.49 29280.72 30454.07 31274.94 32280.30 29658.34 31070.01 26081.19 29452.50 21986.54 29253.37 27871.09 30185.87 292
pmmvs474.03 24571.91 25780.39 21281.96 28968.32 10681.45 27482.14 27559.32 30369.87 26585.13 24652.40 22188.13 28260.21 23574.74 27584.73 304
PatchFormer-LS_test74.50 23973.05 24178.86 24682.95 27459.55 25281.65 27182.30 27367.44 23071.62 24278.15 31952.34 22288.92 27365.05 19975.90 25988.12 241
RPMNet71.62 27268.94 27979.67 22881.32 30065.19 16175.92 31378.30 31657.60 31772.73 21976.45 32852.30 22386.69 29048.14 30477.71 22887.11 265
LFMVS81.82 9081.23 8983.57 11891.89 6163.43 21289.84 5781.85 28277.04 4783.21 5993.10 4352.26 22493.43 14471.98 14289.95 8193.85 37
VDD-MVS83.01 7582.36 7684.96 7591.02 7066.40 13688.91 8488.11 19977.57 3584.39 4793.29 4052.19 22593.91 11277.05 8888.70 9494.57 10
tfpn200view976.42 21775.37 21479.55 23489.13 12257.65 27285.17 21383.60 25273.41 12176.45 16186.39 21152.12 22691.95 19148.33 29983.75 15389.07 200
thres40076.50 21475.37 21479.86 22389.13 12257.65 27285.17 21383.60 25273.41 12176.45 16186.39 21152.12 22691.95 19148.33 29983.75 15390.00 173
thres20075.55 23274.47 22878.82 24787.78 17457.85 26983.07 25983.51 25572.44 14575.84 17884.42 25752.08 22891.75 20047.41 30883.64 15986.86 269
PMMVS69.34 29068.67 28071.35 31575.67 33662.03 23375.17 31773.46 34150.00 34568.68 27879.05 31252.07 22978.13 32961.16 22982.77 17373.90 347
tpm cat170.57 28068.31 28377.35 27182.41 28557.95 26778.08 30380.22 29952.04 34068.54 28277.66 32352.00 23087.84 28551.77 28272.07 29686.25 282
IterMVS-SCA-FT75.43 23473.87 23580.11 21982.69 28164.85 17081.57 27383.47 25669.16 19970.49 25384.15 25951.95 23188.15 28169.23 16472.14 29587.34 257
SCA74.22 24372.33 25579.91 22284.05 24662.17 23279.96 28579.29 30566.30 24072.38 23180.13 30551.95 23188.60 27659.25 24377.67 23088.96 213
tfpn11176.54 21275.51 20979.61 23089.52 10156.99 28085.83 19383.23 26073.94 10476.32 16687.12 18251.89 23392.06 18948.04 30683.73 15789.78 187
conf200view1176.55 21175.55 20779.57 23389.52 10156.99 28085.83 19383.23 26073.94 10476.32 16687.12 18251.89 23391.95 19148.33 29983.75 15389.78 187
thres100view90076.50 21475.55 20779.33 23589.52 10156.99 28085.83 19383.23 26073.94 10476.32 16687.12 18251.89 23391.95 19148.33 29983.75 15389.07 200
thres600view776.50 21475.44 21079.68 22789.40 10757.16 27785.53 20883.23 26073.79 11376.26 16987.09 18551.89 23391.89 19548.05 30583.72 15890.00 173
view60076.20 22175.21 21779.16 24089.64 9455.82 29985.74 19882.06 27773.88 10875.74 18087.85 15951.84 23791.66 20946.75 31083.42 16190.00 173
view80076.20 22175.21 21779.16 24089.64 9455.82 29985.74 19882.06 27773.88 10875.74 18087.85 15951.84 23791.66 20946.75 31083.42 16190.00 173
conf0.05thres100076.20 22175.21 21779.16 24089.64 9455.82 29985.74 19882.06 27773.88 10875.74 18087.85 15951.84 23791.66 20946.75 31083.42 16190.00 173
tfpn76.20 22175.21 21779.16 24089.64 9455.82 29985.74 19882.06 27773.88 10875.74 18087.85 15951.84 23791.66 20946.75 31083.42 16190.00 173
tpm273.26 26171.46 26178.63 24983.34 26256.71 28780.65 27980.40 29556.63 32373.55 21082.02 28451.80 24191.24 22356.35 26778.42 22587.95 243
LS3D76.95 20774.82 22383.37 12490.45 7867.36 12489.15 7986.94 21861.87 28569.52 26890.61 9451.71 24294.53 8646.38 31786.71 12388.21 240
IterMVS74.29 24172.94 24278.35 25581.53 29463.49 20881.58 27282.49 27068.06 22369.99 26283.69 26651.66 24385.54 29965.85 19271.64 29886.01 289
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
tpm72.37 27071.71 26074.35 30182.19 28752.00 32579.22 29277.29 32264.56 25972.95 21783.68 26751.35 24483.26 31258.33 25375.80 26087.81 247
sam_mvs151.32 24588.96 213
PatchmatchNetpermissive73.12 26371.33 26378.49 25483.18 26760.85 24179.63 28778.57 31464.13 26371.73 24079.81 31051.20 24685.97 29757.40 26176.36 25588.66 222
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpmp4_e2373.45 25271.17 26680.31 21683.55 25859.56 25181.88 26682.33 27257.94 31470.51 25281.62 29251.19 24791.63 21353.96 27577.51 23289.75 192
patchmatchnet-post74.00 33551.12 24888.60 276
xiu_mvs_v1_base_debu80.80 11279.72 11484.03 10487.35 18470.19 6685.56 20388.77 18769.06 20181.83 7588.16 15250.91 24992.85 16778.29 7687.56 10989.06 202
xiu_mvs_v1_base80.80 11279.72 11484.03 10487.35 18470.19 6685.56 20388.77 18769.06 20181.83 7588.16 15250.91 24992.85 16778.29 7687.56 10989.06 202
xiu_mvs_v1_base_debi80.80 11279.72 11484.03 10487.35 18470.19 6685.56 20388.77 18769.06 20181.83 7588.16 15250.91 24992.85 16778.29 7687.56 10989.06 202
Patchmatch-test64.82 31163.24 30969.57 32179.42 32049.82 33863.49 35269.05 35451.98 34159.95 32980.13 30550.91 24970.98 35340.66 33973.57 28587.90 245
Patchmatch-RL test70.24 28467.78 29377.61 26577.43 32959.57 25071.16 32870.33 34762.94 27468.65 27972.77 33850.62 25385.49 30069.58 16266.58 32187.77 248
conf0.0173.67 24972.42 24877.42 26887.85 16253.28 31883.38 25179.08 30668.40 21472.45 22486.08 22250.60 25489.19 25844.25 32579.66 20889.78 187
conf0.00273.67 24972.42 24877.42 26887.85 16253.28 31883.38 25179.08 30668.40 21472.45 22486.08 22250.60 25489.19 25844.25 32579.66 20889.78 187
thresconf0.0273.39 25472.42 24876.31 27987.85 16253.28 31883.38 25179.08 30668.40 21472.45 22486.08 22250.60 25489.19 25844.25 32579.66 20886.48 276
tfpn_n40073.39 25472.42 24876.31 27987.85 16253.28 31883.38 25179.08 30668.40 21472.45 22486.08 22250.60 25489.19 25844.25 32579.66 20886.48 276
tfpnconf73.39 25472.42 24876.31 27987.85 16253.28 31883.38 25179.08 30668.40 21472.45 22486.08 22250.60 25489.19 25844.25 32579.66 20886.48 276
tfpnview1173.39 25472.42 24876.31 27987.85 16253.28 31883.38 25179.08 30668.40 21472.45 22486.08 22250.60 25489.19 25844.25 32579.66 20886.48 276
Anonymous2023121178.97 16177.69 16882.81 15990.54 7764.29 19090.11 5491.51 9165.01 25576.16 17588.13 15650.56 26093.03 16369.68 16177.56 23191.11 125
VDDNet81.52 9580.67 9784.05 10290.44 7964.13 19389.73 6385.91 23171.11 16583.18 6093.48 3550.54 26193.49 13973.40 12588.25 10394.54 12
pmmvs674.69 23873.39 23778.61 25081.38 29757.48 27586.64 16987.95 20464.99 25670.18 25686.61 20350.43 26289.52 25162.12 21970.18 30588.83 217
test_post5.46 36750.36 26384.24 305
tfpn_ndepth73.70 24772.75 24376.52 27787.78 17454.92 30784.32 23880.28 29867.57 22772.50 22184.82 25250.12 26489.44 25445.73 32081.66 18685.20 296
sam_mvs50.01 265
Anonymous2024052980.19 13278.89 13984.10 9990.60 7664.75 17388.95 8390.90 10765.97 24580.59 9491.17 8049.97 26693.73 13069.16 16682.70 17693.81 40
tfpn100073.44 25372.49 24676.29 28387.81 17053.69 31584.05 24478.81 31367.99 22472.09 23786.27 21749.95 26789.04 26744.09 33181.38 18886.15 284
thisisatest053079.40 15177.76 16684.31 9387.69 17865.10 16487.36 13784.26 24570.04 18277.42 14388.26 15149.94 26894.79 8070.20 15484.70 14493.03 71
PatchT68.46 29667.85 29070.29 31980.70 30543.93 34772.47 32674.88 33260.15 29670.55 25076.57 32749.94 26881.59 31650.58 28774.83 27485.34 295
tttt051779.40 15177.91 16083.90 11188.10 15563.84 20088.37 10784.05 24771.45 16276.78 15589.12 12749.93 27094.89 7470.18 15583.18 16892.96 76
tpmvs71.09 27669.29 27676.49 27882.04 28856.04 29778.92 29681.37 28664.05 26467.18 29478.28 31749.74 27189.77 24649.67 29472.37 29283.67 312
thisisatest051577.33 20375.38 21383.18 13285.27 21363.80 20182.11 26583.27 25965.06 25375.91 17683.84 26249.54 27294.27 9367.24 18086.19 13191.48 117
CVMVSNet72.99 26572.58 24574.25 30284.28 22750.85 33386.41 17683.45 25744.56 34973.23 21487.54 17049.38 27385.70 29865.90 19178.44 22486.19 283
MDTV_nov1_ep13_2view37.79 35775.16 31855.10 32866.53 29949.34 27453.98 27487.94 244
UGNet80.83 10979.59 11784.54 8488.04 15768.09 11189.42 6988.16 19876.95 4876.22 17089.46 12049.30 27593.94 10968.48 17090.31 7491.60 110
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
pmmvs571.55 27370.20 27375.61 28977.83 32756.39 29281.74 26980.89 28757.76 31567.46 29084.49 25649.26 27685.32 30257.08 26475.29 26985.11 300
LTVRE_ROB69.57 1376.25 22074.54 22781.41 19788.60 14064.38 18979.24 29189.12 16970.76 17169.79 26787.86 15849.09 27793.20 15156.21 26880.16 20486.65 274
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
FMVSNet177.44 20076.12 19681.40 19886.81 19663.01 22188.39 10489.28 16270.49 17674.39 20787.28 17449.06 27891.11 22560.91 23078.52 22290.09 167
MDTV_nov1_ep1369.97 27483.18 26753.48 31677.10 30980.18 30060.45 29269.33 27280.44 30248.89 27986.90 28951.60 28478.51 223
test_post178.90 2975.43 36848.81 28085.44 30159.25 243
test-LLR72.94 26672.43 24774.48 29981.35 29858.04 26478.38 29977.46 32066.66 23369.95 26379.00 31448.06 28179.24 32466.13 18784.83 14186.15 284
test0.0.03 168.00 29767.69 29468.90 32477.55 32847.43 34175.70 31672.95 34366.66 23366.56 29882.29 27848.06 28175.87 33944.97 32474.51 27783.41 314
our_test_369.14 29167.00 29775.57 29079.80 31558.80 25577.96 30477.81 31859.55 30162.90 32178.25 31847.43 28383.97 30651.71 28367.58 31483.93 311
MS-PatchMatch73.83 24672.67 24477.30 27283.87 24966.02 14181.82 26784.66 24061.37 28968.61 28182.82 27347.29 28488.21 28059.27 24284.32 14877.68 339
cascas76.72 21074.64 22482.99 14385.78 20665.88 14582.33 26389.21 16760.85 29172.74 21881.02 29847.28 28593.75 12567.48 17685.02 13989.34 197
test20.0367.45 29966.95 29868.94 32375.48 33944.84 34577.50 30677.67 31966.66 23363.01 31983.80 26347.02 28678.40 32842.53 33668.86 31183.58 313
test_040272.79 26770.44 27079.84 22488.13 15465.99 14285.93 19084.29 24365.57 24967.40 29285.49 24046.92 28792.61 17435.88 34474.38 27880.94 329
F-COLMAP76.38 21974.33 23082.50 16989.28 11666.95 13288.41 10389.03 17064.05 26466.83 29688.61 13946.78 28892.89 16657.48 25978.55 22187.67 249
ppachtmachnet_test70.04 28667.34 29678.14 25779.80 31561.13 23779.19 29380.59 29159.16 30565.27 30779.29 31146.75 28987.29 28749.33 29566.72 31986.00 291
Anonymous2023120668.60 29367.80 29271.02 31780.23 31150.75 33478.30 30280.47 29356.79 32266.11 30382.63 27546.35 29078.95 32643.62 33375.70 26183.36 315
CHOSEN 280x42066.51 30564.71 30471.90 31081.45 29563.52 20757.98 35768.95 35553.57 33562.59 32276.70 32646.22 29175.29 34255.25 27079.68 20776.88 345
GA-MVS76.87 20875.17 22181.97 17982.75 27862.58 22781.44 27586.35 22672.16 15374.74 20482.89 27146.20 29292.02 19068.85 16881.09 19191.30 121
MDA-MVSNet_test_wron65.03 30962.92 31071.37 31375.93 33456.73 28569.09 34074.73 33557.28 32054.03 34477.89 32045.88 29374.39 34549.89 29361.55 33682.99 321
YYNet165.03 30962.91 31171.38 31275.85 33556.60 28969.12 33974.66 33857.28 32054.12 34377.87 32145.85 29474.48 34449.95 29261.52 33783.05 319
EPMVS69.02 29268.16 28571.59 31179.61 31849.80 33977.40 30766.93 35762.82 27670.01 26079.05 31245.79 29577.86 33256.58 26675.26 27087.13 264
IB-MVS68.01 1575.85 22973.36 23883.31 12584.76 22166.03 14083.38 25185.06 23770.21 18169.40 26981.05 29745.76 29694.66 8465.10 19875.49 26589.25 199
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
jajsoiax79.29 15477.96 15883.27 12784.68 22366.57 13589.25 7490.16 13469.20 19875.46 18689.49 11745.75 29793.13 15676.84 9180.80 19590.11 165
PatchMatch-RL72.38 26970.90 26876.80 27688.60 14067.38 12379.53 28876.17 32662.75 27769.36 27182.00 28545.51 29884.89 30353.62 27780.58 19878.12 337
RPSCF73.23 26271.46 26178.54 25282.50 28459.85 24882.18 26482.84 26858.96 30671.15 24789.41 12445.48 29984.77 30458.82 24871.83 29791.02 128
MSDG73.36 26070.99 26780.49 21184.51 22565.80 14680.71 27886.13 22965.70 24765.46 30583.74 26544.60 30090.91 23351.13 28676.89 24384.74 303
PVSNet_057.27 2061.67 31659.27 31768.85 32579.61 31857.44 27668.01 34373.44 34255.93 32658.54 33270.41 34344.58 30177.55 33347.01 30935.91 35571.55 349
DWT-MVSNet_test73.70 24771.86 25879.21 23882.91 27558.94 25482.34 26282.17 27465.21 25071.05 24878.31 31644.21 30290.17 24363.29 20977.28 23488.53 235
mvs_tets79.13 15777.77 16583.22 13184.70 22266.37 13789.17 7590.19 13369.38 19475.40 18989.46 12044.17 30393.15 15476.78 9280.70 19790.14 163
MDA-MVSNet-bldmvs66.68 30363.66 30775.75 28779.28 32360.56 24573.92 32478.35 31564.43 26050.13 35179.87 30944.02 30483.67 30846.10 31856.86 34383.03 320
gg-mvs-nofinetune69.95 28767.96 28875.94 28683.07 27054.51 31077.23 30870.29 34863.11 27070.32 25462.33 35043.62 30588.69 27553.88 27687.76 10684.62 305
GG-mvs-BLEND75.38 29381.59 29355.80 30379.32 29069.63 35067.19 29373.67 33743.24 30688.90 27450.41 28884.50 14581.45 328
CMPMVSbinary51.72 2170.19 28568.16 28576.28 28473.15 34557.55 27479.47 28983.92 24848.02 34756.48 34084.81 25343.13 30786.42 29462.67 21481.81 18584.89 301
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
Test477.83 18675.90 20383.62 11580.24 31065.25 15985.27 21190.67 11169.03 20466.48 30083.75 26443.07 30893.00 16475.93 9888.66 9592.62 83
dp66.80 30265.43 30270.90 31879.74 31748.82 34075.12 32074.77 33459.61 30064.08 31577.23 32442.89 30980.72 31948.86 29766.58 32183.16 317
PVSNet64.34 1872.08 27170.87 26975.69 28886.21 20256.44 29174.37 32380.73 29062.06 28470.17 25782.23 27942.86 31083.31 31154.77 27284.45 14787.32 258
pmmvs-eth3d70.50 28267.83 29178.52 25377.37 33066.18 13981.82 26781.51 28458.90 30763.90 31680.42 30342.69 31186.28 29558.56 25065.30 32983.11 318
UnsupCasMVSNet_eth67.33 30065.99 30171.37 31373.48 34251.47 33075.16 31885.19 23665.20 25160.78 32580.93 30142.35 31277.20 33457.12 26353.69 34885.44 294
ADS-MVSNet266.20 30863.33 30874.82 29779.92 31358.75 25667.55 34575.19 33053.37 33665.25 30875.86 32942.32 31380.53 32041.57 33768.91 30985.18 297
ADS-MVSNet64.36 31262.88 31268.78 32679.92 31347.17 34267.55 34571.18 34653.37 33665.25 30875.86 32942.32 31373.99 34741.57 33768.91 30985.18 297
SixPastTwentyTwo73.37 25871.26 26579.70 22685.08 21957.89 26885.57 20283.56 25471.03 16765.66 30485.88 22942.10 31592.57 17559.11 24563.34 33288.65 223
JIA-IIPM66.32 30762.82 31376.82 27577.09 33261.72 23665.34 34975.38 32858.04 31364.51 31262.32 35142.05 31686.51 29351.45 28569.22 30882.21 324
ACMH67.68 1675.89 22873.93 23381.77 18388.71 13866.61 13488.62 9689.01 17369.81 18566.78 29786.70 19741.95 31791.51 21655.64 26978.14 22787.17 262
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
ACMH+68.96 1476.01 22774.01 23282.03 17788.60 14065.31 15888.86 8687.55 21070.25 18067.75 28787.47 17241.27 31893.19 15258.37 25275.94 25887.60 251
MIMVSNet70.69 27969.30 27574.88 29684.52 22456.35 29475.87 31579.42 30464.59 25867.76 28682.41 27641.10 31981.54 31746.64 31681.34 18986.75 272
Anonymous20240521178.25 17177.01 17881.99 17891.03 6960.67 24384.77 22283.90 24970.65 17480.00 9791.20 7941.08 32091.43 21765.21 19685.26 13893.85 37
N_pmnet52.79 32953.26 32751.40 34778.99 3257.68 37269.52 3353.89 37351.63 34357.01 33874.98 33240.83 32165.96 36037.78 34264.67 33080.56 332
testing_275.73 23073.34 23982.89 15377.37 33065.22 16084.10 24290.54 11769.09 20060.46 32681.15 29640.48 32292.84 17076.36 9480.54 20190.60 144
EU-MVSNet68.53 29567.61 29571.31 31678.51 32647.01 34384.47 23084.27 24442.27 35066.44 30184.79 25440.44 32383.76 30758.76 24968.54 31383.17 316
DSMNet-mixed57.77 32356.90 32360.38 33867.70 35535.61 35869.18 33753.97 36432.30 36057.49 33679.88 30840.39 32468.57 35738.78 34172.37 29276.97 342
OurMVSNet-221017-074.26 24272.42 24879.80 22583.76 25559.59 24985.92 19186.64 22066.39 23966.96 29587.58 16739.46 32591.60 21465.76 19369.27 30788.22 239
K. test v371.19 27568.51 28179.21 23883.04 27257.78 27184.35 23776.91 32472.90 13562.99 32082.86 27239.27 32691.09 23061.65 22452.66 34988.75 220
lessismore_v078.97 24481.01 30357.15 27865.99 35861.16 32482.82 27339.12 32791.34 22159.67 23846.92 35388.43 237
UnsupCasMVSNet_bld63.70 31461.53 31670.21 32073.69 34151.39 33172.82 32581.89 28155.63 32757.81 33471.80 34038.67 32878.61 32749.26 29652.21 35080.63 330
new-patchmatchnet61.73 31561.73 31561.70 33772.74 34624.50 36869.16 33878.03 31761.40 28756.72 33975.53 33138.42 32976.48 33745.95 31957.67 34284.13 309
MVS-HIRNet59.14 31957.67 32163.57 33481.65 29243.50 34871.73 32765.06 36039.59 354