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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort by
MCST-MVS77.48 2077.45 1677.54 3386.67 858.36 5883.22 3586.93 156.91 13774.91 2488.19 4459.15 987.68 2673.67 2587.45 2686.57 39
DeepC-MVS69.38 278.56 978.14 1279.83 283.60 4961.62 2484.17 2486.85 263.23 3473.84 3790.25 1857.68 1289.96 274.62 1889.03 687.89 9
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
CSCG76.92 2576.75 2377.41 3583.96 4859.60 4382.95 3886.50 360.78 7075.27 1984.83 9060.76 386.56 4967.86 5087.87 2586.06 54
APDe-MVS80.16 280.59 278.86 1886.64 960.02 3988.12 186.42 462.94 3982.40 292.12 159.64 689.76 378.70 588.32 1586.79 37
3Dnovator+66.72 475.84 3774.57 4079.66 382.40 5959.92 4285.83 1086.32 566.92 867.80 12189.24 3242.03 16489.38 464.07 8586.50 3889.69 1
SteuartSystems-ACMMP79.48 579.31 579.98 183.01 5562.18 1987.60 285.83 666.69 1078.03 990.98 454.26 3190.06 178.42 789.02 787.69 13
Skip Steuart: Steuart Systems R&D Blog.
PHI-MVS75.87 3675.36 3477.41 3580.62 8455.91 9484.28 2185.78 756.08 15373.41 4386.58 6450.94 6488.54 1170.79 3989.71 487.79 12
MP-MVS-pluss78.35 1178.46 878.03 2884.96 3759.52 4482.93 3985.39 862.15 5276.41 1491.51 252.47 4986.78 4280.66 289.64 587.80 11
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
DeepPCF-MVS69.58 179.03 679.00 679.13 984.92 4160.32 3783.03 3785.33 962.86 4280.17 390.03 2161.76 288.95 974.21 1988.67 1088.12 7
ACMMP_Plus78.77 778.78 778.74 1985.44 2961.04 3183.84 2885.16 1062.88 4178.10 891.26 352.51 4788.39 1279.34 390.52 186.78 38
HPM-MVS77.28 2176.85 2278.54 2185.00 3660.81 3482.91 4085.08 1162.57 4673.09 4789.97 2350.90 6587.48 2875.30 1386.85 3387.33 27
HSP-MVS80.69 181.20 179.14 886.21 1662.73 1286.09 885.03 1265.51 1483.81 190.51 1163.71 189.23 581.51 188.44 1185.45 77
CNVR-MVS79.84 479.97 479.45 487.90 262.17 2084.37 2085.03 1266.96 577.58 1090.06 2059.47 889.13 778.67 689.73 387.03 32
test_prior376.89 2776.96 2176.69 4384.20 4657.27 7081.75 5884.88 1460.37 7775.01 2089.06 3356.22 1786.43 5372.19 3188.96 886.38 40
test_prior76.69 4384.20 4657.27 7084.88 1486.43 5386.38 40
DeepC-MVS_fast68.24 377.25 2276.63 2579.12 1086.15 1860.86 3384.71 1884.85 1661.98 5873.06 4888.88 3853.72 3889.06 868.27 4688.04 2187.42 23
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
CLD-MVS73.33 5572.68 5775.29 6678.82 11053.33 12278.23 10784.79 1761.30 6570.41 6881.04 16352.41 5087.12 3564.61 7582.49 6185.41 84
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
ACMMPcopyleft76.02 3375.33 3578.07 2785.20 3361.91 2285.49 1684.44 1863.04 3769.80 8189.74 2745.43 13787.16 3472.01 3382.87 5885.14 92
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
NCCC78.58 878.31 979.39 587.51 362.61 1685.20 1784.42 1966.73 974.67 2889.38 3055.30 2389.18 674.19 2087.34 2786.38 40
APD-MVScopyleft78.02 1378.04 1377.98 2986.44 1360.81 3485.52 1584.36 2060.61 7279.05 690.30 1655.54 2288.32 1573.48 2787.03 3084.83 101
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
HFP-MVS78.01 1477.65 1479.10 1186.71 662.81 1086.29 584.32 2162.82 4373.96 3290.50 1253.20 4488.35 1374.02 2187.05 2886.13 51
#test#77.83 1577.41 1779.10 1186.71 662.81 1085.69 1484.32 2161.61 6173.96 3290.50 1253.20 4488.35 1373.68 2487.05 2886.13 51
ACMMPR77.71 1677.23 1979.16 686.75 562.93 986.29 584.24 2362.82 4373.55 4290.56 1049.80 7188.24 1674.02 2187.03 3086.32 47
DELS-MVS74.76 4274.46 4175.65 5977.84 13652.25 13875.59 16884.17 2463.76 3173.15 4682.79 12059.58 786.80 4067.24 5586.04 4087.89 9
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
region2R77.67 1877.18 2079.15 786.76 462.95 886.29 584.16 2562.81 4573.30 4490.58 949.90 6988.21 1773.78 2387.03 3086.29 49
CDPH-MVS76.31 3075.67 3378.22 2685.35 3259.14 4981.31 6884.02 2656.32 14774.05 3188.98 3653.34 4287.92 2369.23 4388.42 1287.59 16
HQP_MVS74.31 4673.73 4776.06 5081.41 7056.31 8384.22 2284.01 2764.52 2369.27 9486.10 7145.26 14187.21 3268.16 4780.58 7484.65 107
plane_prior584.01 2787.21 3268.16 4780.58 7484.65 107
XVS77.17 2376.56 2679.00 1486.32 1462.62 1485.83 1083.92 2964.55 2172.17 5790.01 2247.95 10888.01 2171.55 3586.74 3586.37 43
X-MVStestdata70.21 10367.28 13879.00 1486.32 1462.62 1485.83 1083.92 2964.55 2172.17 576.49 32947.95 10888.01 2171.55 3586.74 3586.37 43
HQP3-MVS83.90 3180.35 80
HQP-MVS73.45 5472.80 5675.40 6380.66 8154.94 10582.31 5083.90 3162.10 5367.85 11685.54 8445.46 13586.93 3867.04 5780.35 8084.32 115
canonicalmvs74.67 4474.98 3873.71 9478.94 10850.56 16380.23 7883.87 3360.30 8177.15 1186.56 6559.65 582.00 15866.01 6382.12 6288.58 4
SD-MVS77.70 1777.62 1577.93 3184.47 4461.88 2384.55 1983.87 3360.37 7779.89 489.38 3054.97 2585.58 6976.12 1284.94 4486.33 46
TSAR-MVS + MP.78.44 1078.28 1078.90 1684.96 3761.41 2784.03 2683.82 3559.34 11179.37 589.76 2659.84 487.62 2776.69 1186.74 3587.68 14
PGM-MVS76.77 2876.06 2978.88 1786.14 1962.73 1282.55 4783.74 3661.71 5972.45 5690.34 1548.48 10388.13 1872.32 3086.85 3385.78 60
HPM-MVS++79.88 380.14 379.10 1188.17 164.80 186.59 483.70 3765.37 1578.78 790.64 758.63 1187.24 3079.00 490.37 285.26 90
OPM-MVS74.73 4374.25 4376.19 4980.81 8059.01 5182.60 4683.64 3863.74 3272.52 5487.49 4947.18 11885.88 6569.47 4280.78 7083.66 146
FIs70.82 8571.43 6768.98 19678.33 12238.14 27276.96 14383.59 3961.02 6767.33 12786.73 5655.07 2481.64 16354.61 15479.22 9787.14 30
MP-MVScopyleft78.35 1178.26 1178.64 2086.54 1163.47 586.02 983.55 4063.89 3073.60 4190.60 854.85 2786.72 4377.20 1088.06 2085.74 65
QAPM70.05 10568.81 10873.78 8876.54 16053.43 12083.23 3483.48 4152.89 18765.90 14386.29 6841.55 17586.49 5251.01 17578.40 10881.42 183
test1183.47 42
CP-MVS77.12 2476.68 2478.43 2286.05 2263.18 787.55 383.45 4362.44 4972.68 5290.50 1248.18 10687.34 2973.59 2685.71 4184.76 106
原ACMM174.69 7285.39 3159.40 4583.42 4451.47 20370.27 7186.61 6248.61 10186.51 5153.85 15787.96 2278.16 219
LPG-MVS_test72.74 6171.74 6475.76 5480.22 8957.51 6882.55 4783.40 4561.32 6366.67 13387.33 5239.15 19486.59 4767.70 5177.30 11883.19 155
LGP-MVS_train75.76 5480.22 8957.51 6883.40 4561.32 6366.67 13387.33 5239.15 19486.59 4767.70 5177.30 11883.19 155
test1277.76 3284.52 4358.41 5783.36 4772.93 5054.61 2988.05 2088.12 1986.81 36
PAPR71.72 7670.82 7874.41 8081.20 7551.17 14879.55 9083.33 4855.81 15766.93 13184.61 9550.95 6386.06 5855.79 14679.20 9886.00 55
APD-MVS_3200maxsize74.96 4074.39 4276.67 4582.20 6058.24 6083.67 2983.29 4958.41 12373.71 3990.14 1945.62 13285.99 6169.64 4182.85 5985.78 60
PAPM_NR72.63 6271.80 6375.13 6781.72 6553.42 12179.91 8383.28 5059.14 11366.31 13985.90 7651.86 5386.06 5857.45 13680.62 7285.91 57
MVS_030575.96 3475.30 3677.97 3081.13 7757.59 6682.11 5483.22 5167.54 469.39 9285.95 7551.47 5788.72 1072.57 2984.29 4887.59 16
FC-MVSNet-test69.80 10970.58 8167.46 20977.61 14634.73 29276.05 16283.19 5260.84 6865.88 14486.46 6654.52 3080.76 18252.52 16678.12 10986.91 33
3Dnovator64.47 572.49 6471.39 6975.79 5377.70 13858.99 5280.66 7583.15 5362.24 5165.46 14786.59 6342.38 16285.52 7159.59 12984.72 4582.85 164
MVS_Test72.45 6572.46 5972.42 14474.88 17848.50 20376.28 15583.14 5459.40 10972.46 5584.68 9255.66 2181.12 17265.98 6479.66 8987.63 15
DP-MVS Recon72.15 7270.73 7976.40 4886.57 1057.99 6281.15 7082.96 5557.03 13566.78 13285.56 8244.50 14788.11 1951.77 17180.23 8383.10 159
Regformer-275.63 3874.99 3777.54 3380.43 8658.32 5979.50 9182.92 5667.84 175.94 1580.75 17255.73 2086.80 4071.44 3780.38 7887.50 19
UniMVSNet (Re)70.63 9070.20 8471.89 15178.55 11745.29 22675.94 16582.92 5663.68 3368.16 11183.59 11153.89 3683.49 11953.97 15671.12 17486.89 34
MAR-MVS71.51 7870.15 8675.60 6181.84 6459.39 4681.38 6782.90 5854.90 17068.08 11478.70 20347.73 11085.51 7251.68 17384.17 4981.88 178
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
nrg03072.96 5973.01 5472.84 12775.41 17450.24 17280.02 8182.89 5958.36 12574.44 2986.73 5658.90 1080.83 17865.84 6574.46 13787.44 22
ACMP63.53 672.30 6771.20 7475.59 6280.28 8857.54 6782.74 4382.84 6060.58 7365.24 15286.18 6939.25 19386.03 6066.95 5976.79 12483.22 153
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
UniMVSNet_NR-MVSNet71.11 8271.00 7671.44 15979.20 10244.13 23676.02 16482.60 6166.48 1368.20 10984.60 9656.82 1382.82 13854.62 15270.43 18187.36 26
alignmvs73.86 5273.99 4573.45 10678.20 12550.50 16578.57 9982.43 6259.40 10976.57 1286.71 5856.42 1681.23 17165.84 6581.79 6488.62 2
mPP-MVS76.54 2975.93 3178.34 2586.47 1263.50 485.74 1382.28 6362.90 4071.77 6090.26 1746.61 12686.55 5071.71 3485.66 4284.97 98
Regformer-175.47 3974.93 3977.09 3980.43 8657.70 6579.50 9182.13 6467.84 175.73 1880.75 17256.50 1486.07 5771.07 3880.38 7887.50 19
PS-MVSNAJss72.24 6871.21 7375.31 6578.50 11855.93 9381.63 6182.12 6556.24 15070.02 7585.68 8147.05 11984.34 10165.27 6974.41 13985.67 67
WR-MVS_H67.02 16866.92 14767.33 21277.95 13437.75 27577.57 12982.11 6662.03 5762.65 17982.48 12850.57 6679.46 19442.91 23864.01 24284.79 104
pcd1.5k->3k30.06 30030.56 30128.55 31578.81 1110.00 3370.00 32982.07 670.00 3330.00 3340.00 33539.61 1900.00 3340.00 33374.56 13685.66 68
ACMM61.98 770.80 8669.73 8974.02 8280.59 8558.59 5682.68 4482.02 6855.46 16367.18 12884.39 10138.51 19983.17 12660.65 12176.10 12880.30 200
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++73.77 5373.47 5074.66 7383.02 5459.29 4882.30 5381.88 6959.34 11171.59 6286.83 5545.94 13083.65 11665.09 7085.22 4381.06 191
abl_674.34 4573.50 4876.86 4082.43 5860.16 3883.48 3281.86 7058.81 11773.95 3489.86 2441.87 16786.62 4667.98 4981.23 6983.80 139
MVS67.37 15966.33 16470.51 17975.46 17350.94 14973.95 19581.85 7141.57 28362.54 18078.57 20847.98 10785.47 7352.97 16482.05 6375.14 248
114514_t70.83 8469.56 9474.64 7586.21 1654.63 10982.34 4981.81 7248.22 22963.01 17485.83 7840.92 18487.10 3657.91 13379.79 8882.18 173
PCF-MVS61.88 870.95 8369.49 9975.35 6477.63 14155.71 9676.04 16381.81 7250.30 21269.66 8285.40 8752.51 4784.89 8851.82 17080.24 8285.45 77
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
EPP-MVSNet72.16 7171.31 7274.71 7178.68 11549.70 18982.10 5581.65 7460.40 7665.94 14285.84 7751.74 5586.37 5555.93 14379.55 9288.07 8
PVSNet_BlendedMVS68.56 13667.72 12571.07 17177.03 15450.57 16174.50 19081.52 7553.66 18264.22 16879.72 19249.13 9282.87 13655.82 14473.92 14479.77 207
PVSNet_Blended68.59 13267.72 12571.19 16777.03 15450.57 16172.51 21481.52 7551.91 19664.22 16877.77 21849.13 9282.87 13655.82 14479.58 9080.14 203
DU-MVS70.01 10669.53 9571.44 15978.05 13144.13 23675.01 18181.51 7764.37 2668.20 10984.52 9749.12 9482.82 13854.62 15270.43 18187.37 24
Regformer-474.25 4873.48 4976.57 4779.75 9556.54 8278.54 10181.49 7866.93 773.90 3580.30 18253.84 3785.98 6269.76 4076.84 12287.17 29
v114470.42 9969.31 10373.76 9073.22 20250.64 15877.83 12181.43 7958.58 11969.40 9181.16 16047.53 11485.29 7864.01 8770.64 17785.34 86
v770.57 9169.48 10073.85 8573.50 19450.92 15178.27 10581.43 7958.93 11469.61 8381.49 15247.56 11385.43 7563.94 8970.62 17885.21 91
v1070.21 10369.02 10673.81 8773.51 19350.92 15178.74 9681.39 8160.05 8566.39 13781.83 14147.58 11285.41 7662.80 9968.86 21085.09 94
v119269.97 10868.68 11073.85 8573.19 20550.94 14977.68 12781.36 8257.51 13168.95 10080.85 16845.28 14085.33 7762.97 9870.37 18685.27 89
OpenMVScopyleft61.03 968.85 12667.56 12772.70 13174.26 18953.99 11381.21 6981.34 8352.70 18862.75 17785.55 8338.86 19784.14 10448.41 19583.01 5479.97 204
v7n69.01 12567.36 13573.98 8372.51 22552.65 13078.54 10181.30 8460.26 8262.67 17881.62 14743.61 15584.49 9857.01 13968.70 21284.79 104
MG-MVS73.96 5073.89 4674.16 8185.65 2549.69 19181.59 6481.29 8561.45 6271.05 6488.11 4551.77 5487.73 2561.05 12083.09 5385.05 95
TEST985.58 2761.59 2581.62 6281.26 8655.65 16074.93 2288.81 3953.70 3984.68 94
train_agg76.27 3176.15 2876.64 4685.58 2761.59 2581.62 6281.26 8655.86 15474.93 2288.81 3953.70 3984.68 9475.24 1588.33 1383.65 147
PAPM67.92 15366.69 15571.63 15778.09 12949.02 19877.09 14081.24 8851.04 20860.91 20483.98 10747.71 11184.99 7940.81 25079.32 9680.90 193
test_885.40 3060.96 3281.54 6581.18 8955.86 15474.81 2588.80 4153.70 3984.45 99
TranMVSNet+NR-MVSNet70.36 10070.10 8771.17 16878.64 11642.97 24776.53 15081.16 9066.95 668.53 10585.42 8651.61 5683.07 12952.32 16769.70 20387.46 21
HPM-MVS_fast74.30 4773.46 5176.80 4284.45 4559.04 5083.65 3081.05 9160.15 8370.43 6789.84 2541.09 18185.59 6867.61 5382.90 5785.77 62
agg_prior175.94 3576.01 3075.72 5685.04 3459.96 4081.44 6681.04 9256.14 15274.68 2688.90 3753.91 3584.04 10675.01 1787.92 2483.16 158
agg_prior85.04 3459.96 4081.04 9274.68 2684.04 106
agg_prior376.13 3275.89 3276.85 4185.76 2362.02 2181.65 6081.01 9455.51 16273.73 3888.60 4353.23 4384.90 8775.24 1588.33 1383.65 147
MPTG77.61 1977.36 1878.35 2386.08 2063.57 283.37 3380.97 9565.13 1775.77 1690.88 548.63 9986.66 4477.23 888.17 1784.81 102
MTGPAbinary80.97 95
MTAPA76.90 2676.42 2778.35 2386.08 2063.57 274.92 18480.97 9565.13 1775.77 1690.88 548.63 9986.66 4477.23 888.17 1784.81 102
NR-MVSNet69.54 11568.85 10771.59 15878.05 13143.81 24074.20 19380.86 9865.18 1662.76 17684.52 9752.35 5183.59 11750.96 17670.78 17687.37 24
v870.33 10169.28 10473.49 10473.15 20650.22 17378.62 9880.78 9960.79 6966.45 13682.11 13949.35 7484.98 8163.58 9468.71 21185.28 88
v1neww70.66 8769.70 9073.53 10173.15 20650.22 17378.11 11080.68 10059.65 9969.83 7881.67 14449.29 7884.96 8364.55 7670.38 18485.42 80
v7new70.66 8769.70 9073.53 10173.15 20650.22 17378.11 11080.68 10059.65 9969.83 7881.67 14449.29 7884.96 8364.55 7670.38 18485.42 80
v670.66 8769.70 9073.53 10173.14 20950.21 17678.11 11080.67 10259.65 9969.82 8081.65 14649.29 7884.96 8364.55 7670.39 18385.42 80
v14419269.71 11068.51 11273.33 11473.10 21150.13 18077.54 13080.64 10356.65 14068.57 10480.55 17546.87 12484.96 8362.98 9769.66 20484.89 100
v114170.50 9469.53 9573.41 11072.92 21650.00 18377.69 12480.60 10459.50 10669.60 8481.43 15349.24 8884.77 9164.48 8070.30 19085.46 76
divwei89l23v2f11270.50 9469.53 9573.41 11072.91 21750.00 18377.69 12480.59 10559.50 10669.60 8481.43 15349.26 8384.77 9164.48 8070.31 18985.47 74
v170.50 9469.53 9573.42 10972.91 21750.00 18377.69 12480.59 10559.50 10669.59 8681.42 15549.26 8384.77 9164.49 7970.30 19085.47 74
v192192069.47 11768.17 11973.36 11373.06 21250.10 18177.39 13280.56 10756.58 14468.59 10280.37 17844.72 14384.98 8162.47 10369.82 19985.00 96
v124069.24 12267.91 12273.25 11973.02 21449.82 18677.21 13780.54 10856.43 14668.34 10880.51 17643.33 15884.99 7962.03 11369.77 20284.95 99
v2v48270.50 9469.45 10273.66 9672.62 22350.03 18277.58 12880.51 10959.90 8969.52 8782.14 13847.53 11484.88 9065.07 7170.17 19386.09 53
Test467.77 15465.97 16873.19 12068.64 26450.58 16074.80 18780.48 11054.13 17959.11 22479.07 20133.89 23583.12 12863.61 9379.98 8585.87 58
PEN-MVS66.60 17666.45 15967.04 21377.11 15136.56 28277.03 14280.42 11162.95 3862.51 18284.03 10646.69 12579.07 20244.22 22463.08 25085.51 73
API-MVS72.17 7071.41 6874.45 7981.95 6357.22 7284.03 2680.38 11259.89 9168.40 10682.33 13149.64 7287.83 2451.87 16984.16 5078.30 217
testing_266.02 18363.77 19072.76 13066.03 28450.48 16672.93 20880.36 11354.41 17654.25 26376.76 23630.89 25883.16 12764.19 8474.08 14284.65 107
PVSNet_Blended_VisFu71.45 8070.39 8274.65 7482.01 6158.82 5379.93 8280.35 11455.09 16665.82 14682.16 13749.17 9182.64 14960.34 12478.62 10682.50 169
TAPA-MVS59.36 1066.60 17665.20 17870.81 17376.63 15748.75 20076.52 15180.04 11550.64 21065.24 15284.93 8939.15 19478.54 20736.77 26776.88 12185.14 92
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
Regformer-373.89 5173.28 5375.71 5779.75 9555.48 10278.54 10179.93 11666.58 1173.62 4080.30 18254.87 2684.54 9769.09 4476.84 12287.10 31
OMC-MVS71.40 8170.60 8073.78 8876.60 15853.15 12479.74 8779.78 11758.37 12468.75 10186.45 6745.43 13780.60 18362.58 10077.73 11187.58 18
ACMH55.70 1565.20 19363.57 19370.07 18478.07 13052.01 14379.48 9379.69 11855.75 15856.59 24380.98 16427.12 28180.94 17542.90 23971.58 17077.25 230
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
VPA-MVSNet69.02 12469.47 10167.69 20877.42 14941.00 26074.04 19479.68 11960.06 8469.26 9684.81 9151.06 6277.58 21854.44 15574.43 13884.48 113
v1168.15 15166.73 15372.42 14473.43 19650.28 17177.94 11979.65 12059.88 9261.11 20277.55 22648.25 10582.75 14561.88 11660.85 26684.23 122
Effi-MVS+73.31 5672.54 5875.62 6077.87 13553.64 11679.62 8979.61 12161.63 6072.02 5982.61 12556.44 1585.97 6363.99 8879.07 10087.25 28
PS-CasMVS66.42 18066.32 16566.70 21677.60 14736.30 28676.94 14479.61 12162.36 5062.43 18683.66 10945.69 13178.37 20845.35 22163.26 24885.42 80
v1568.22 14966.81 15272.47 14273.25 20150.40 16777.92 12079.60 12359.77 9661.28 19977.52 22749.25 8582.77 14062.16 11160.51 26984.24 121
V1468.25 14666.82 15172.52 13773.33 20050.53 16478.02 11679.60 12359.83 9361.16 20177.57 22549.19 8982.77 14062.18 10760.50 27084.26 120
V968.27 14466.84 14872.56 13573.39 19950.63 15978.10 11379.60 12359.94 8861.05 20377.62 22249.18 9082.77 14062.17 10960.48 27184.27 119
v1668.38 13967.01 14472.47 14273.22 20250.29 17078.10 11379.59 12659.71 9761.72 19377.60 22349.28 8182.89 13462.36 10561.54 25984.23 122
v1268.28 14366.83 15072.60 13473.43 19650.74 15678.18 10879.59 12660.01 8760.89 20577.66 22149.12 9482.77 14062.18 10760.46 27284.29 118
v1768.37 14067.00 14572.48 13873.22 20250.31 16978.10 11379.58 12859.71 9761.67 19477.60 22349.31 7582.89 13462.37 10461.48 26284.23 122
v1368.29 14266.84 14872.63 13273.50 19450.83 15478.25 10679.58 12860.05 8560.76 20677.68 22049.11 9782.77 14062.17 10960.45 27384.30 117
v74867.26 16165.67 17172.02 14969.90 25849.77 18876.24 15679.57 13058.58 11960.49 21080.38 17744.47 14982.17 15656.16 14265.26 23384.12 130
v1868.33 14166.96 14672.42 14473.13 21050.16 17877.97 11879.57 13059.57 10561.80 19177.50 22849.30 7682.90 13362.31 10661.50 26084.20 128
CP-MVSNet66.49 17966.41 16266.72 21577.67 14036.33 28476.83 14679.52 13262.45 4862.54 18083.47 11546.32 12778.37 20845.47 21963.43 24785.45 77
V4268.65 13167.35 13672.56 13568.93 26350.18 17772.90 20979.47 13356.92 13669.45 9080.26 18446.29 12882.99 13064.07 8567.82 21784.53 111
Fast-Effi-MVS+70.28 10269.12 10573.73 9378.50 11851.50 14775.01 18179.46 13456.16 15168.59 10279.55 19453.97 3484.05 10553.34 16277.53 11385.65 69
v5267.09 16565.16 17972.87 12566.77 27851.60 14573.69 20179.45 13557.88 12862.46 18378.57 20840.95 18383.34 12061.99 11464.70 23883.68 143
V467.09 16565.16 17972.87 12566.76 27951.60 14573.69 20179.45 13557.88 12862.45 18478.58 20740.96 18283.34 12061.99 11464.71 23683.68 143
DTE-MVSNet65.58 18765.34 17566.31 21876.06 16534.79 29076.43 15279.38 13762.55 4761.66 19583.83 10845.60 13379.15 20041.64 24860.88 26585.00 96
EI-MVSNet-Vis-set72.42 6671.59 6574.91 6878.47 12054.02 11277.05 14179.33 13865.03 1971.68 6179.35 19752.75 4684.89 8866.46 6074.23 14085.83 59
test_normal69.26 12167.90 12373.32 11570.84 24750.38 16875.30 17379.17 13954.23 17862.00 18880.61 17444.69 14483.89 11264.33 8279.95 8685.69 66
EI-MVSNet-UG-set71.92 7371.06 7574.52 7877.98 13353.56 11876.62 14879.16 14064.40 2571.18 6378.95 20252.19 5284.66 9665.47 6873.57 14985.32 87
DI_MVS_plusplus_test69.35 11968.03 12173.30 11671.11 24450.14 17975.49 17079.16 14054.57 17462.45 18480.76 17144.67 14584.20 10264.23 8379.81 8785.54 71
XVG-OURS-SEG-HR68.81 12767.47 13172.82 12974.40 18756.87 8070.59 23079.04 14254.77 17166.99 13086.01 7339.57 19178.21 21162.54 10173.33 15383.37 150
PS-MVSNAJ70.51 9369.70 9072.93 12381.52 6755.79 9574.92 18479.00 14355.04 16869.88 7778.66 20447.05 11982.19 15561.61 11879.58 9080.83 194
xiu_mvs_v2_base70.52 9269.75 8872.84 12781.21 7455.63 9975.11 17978.92 14454.92 16969.96 7679.68 19347.00 12382.09 15761.60 11979.37 9380.81 195
EG-PatchMatch MVS64.71 19762.87 19970.22 18177.68 13953.48 11977.99 11778.82 14553.37 18356.03 24677.41 23024.75 29584.04 10646.37 20673.42 15273.14 266
XVG-OURS68.76 13067.37 13472.90 12474.32 18857.22 7270.09 23778.81 14655.24 16567.79 12285.81 8036.54 21778.28 21062.04 11275.74 13083.19 155
ambc65.13 23363.72 29437.07 27847.66 31178.78 14754.37 26271.42 27211.24 32080.94 17545.64 21453.85 29277.38 225
AdaColmapbinary69.99 10768.66 11173.97 8484.94 3957.83 6382.63 4578.71 14856.28 14964.34 16484.14 10341.57 17287.06 3746.45 20578.88 10177.02 231
IS-MVSNet71.57 7771.00 7673.27 11778.86 10945.63 22580.22 7978.69 14964.14 2866.46 13587.36 5149.30 7685.60 6750.26 18083.71 5188.59 3
cdsmvs_eth3d_5k17.50 30723.34 3040.00 3240.00 3370.00 3370.00 32978.63 1500.00 3330.00 33482.18 13449.25 850.00 3340.00 3330.00 3310.00 332
TSAR-MVS + GP.74.90 4174.15 4477.17 3882.00 6258.77 5481.80 5778.57 15158.58 11974.32 3084.51 9955.94 1987.22 3167.11 5684.48 4785.52 72
mvs_tets68.18 15066.36 16373.63 9975.61 17155.35 10480.77 7378.56 15252.48 19164.27 16784.10 10527.45 27981.84 16163.45 9670.56 18083.69 142
MVP-Stereo65.41 19063.80 18970.22 18177.62 14555.53 10076.30 15478.53 15350.59 21156.47 24478.65 20539.84 18782.68 14644.10 22772.12 16672.44 274
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
jajsoiax68.25 14666.45 15973.66 9675.62 17055.49 10180.82 7278.51 15452.33 19264.33 16584.11 10428.28 27381.81 16263.48 9570.62 17883.67 145
MVSFormer71.50 7970.38 8374.88 6978.76 11257.15 7782.79 4178.48 15551.26 20669.49 8883.22 11643.99 15383.24 12466.06 6179.37 9384.23 122
test_djsdf69.45 11867.74 12474.58 7774.57 18354.92 10782.79 4178.48 15551.26 20665.41 14883.49 11438.37 20183.24 12466.06 6169.25 20785.56 70
EI-MVSNet69.27 12068.44 11571.73 15574.47 18449.39 19575.20 17778.45 15759.60 10269.16 9876.51 24051.29 5882.50 15059.86 12871.45 17283.30 151
XVG-ACMP-BASELINE64.36 20162.23 20570.74 17572.35 22752.45 13670.80 22978.45 15753.84 18159.87 21481.10 16216.24 30879.32 19755.64 14871.76 16880.47 197
MVSTER67.16 16465.58 17371.88 15270.37 25249.70 18970.25 23678.45 15751.52 20169.16 9880.37 17838.45 20082.50 15060.19 12571.46 17183.44 149
MVS_111021_HR74.02 4973.46 5175.69 5883.01 5560.63 3677.29 13678.40 16061.18 6670.58 6685.97 7454.18 3384.00 11067.52 5482.98 5682.45 170
131464.61 19963.21 19668.80 19871.87 23647.46 21573.95 19578.39 16142.88 27659.97 21276.60 23938.11 20579.39 19654.84 15072.32 16379.55 208
Vis-MVSNetpermissive72.18 6971.37 7074.61 7681.29 7255.41 10380.90 7178.28 16260.73 7169.23 9788.09 4644.36 15082.65 14857.68 13481.75 6685.77 62
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
MVS_test032667.73 15566.55 15671.28 16575.71 16847.88 20977.14 13878.26 16356.89 13860.74 20779.74 19135.74 22182.26 15457.39 13877.35 11483.71 141
ACMH+57.40 1166.12 18264.06 18572.30 14877.79 13752.83 12880.39 7778.03 16457.30 13257.47 23882.55 12727.68 27784.17 10345.54 21669.78 20079.90 205
CPTT-MVS72.78 6072.08 6274.87 7084.88 4261.41 2784.15 2577.86 16555.27 16467.51 12588.08 4741.93 16681.85 16069.04 4580.01 8481.35 185
GBi-Net67.21 16266.55 15669.19 19377.63 14143.33 24377.31 13377.83 16656.62 14165.04 15582.70 12141.85 16880.33 18647.18 19972.76 15783.92 132
test167.21 16266.55 15669.19 19377.63 14143.33 24377.31 13377.83 16656.62 14165.04 15582.70 12141.85 16880.33 18647.18 19972.76 15783.92 132
FMVSNet166.70 17465.87 16969.19 19377.49 14843.33 24377.31 13377.83 16656.45 14564.60 16282.70 12138.08 20680.33 18646.08 20972.31 16483.92 132
UA-Net73.13 5772.93 5573.76 9083.58 5051.66 14478.75 9577.66 16967.75 372.61 5389.42 2849.82 7083.29 12353.61 16083.14 5286.32 47
VDD-MVS72.50 6372.09 6173.75 9281.58 6649.69 19177.76 12377.63 17063.21 3573.21 4589.02 3542.14 16383.32 12261.72 11782.50 6088.25 6
IterMVS-LS69.22 12368.48 11371.43 16174.44 18649.40 19476.23 15777.55 17159.60 10265.85 14581.59 15051.28 5981.58 16659.87 12769.90 19883.30 151
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
FMVSNet266.93 17066.31 16668.79 19977.63 14142.98 24676.11 15977.47 17256.62 14165.22 15482.17 13641.85 16880.18 18947.05 20272.72 16083.20 154
PLCcopyleft56.13 1465.09 19463.21 19670.72 17681.04 7854.87 10878.57 9977.47 17248.51 22555.71 24781.89 14033.71 23679.71 19141.66 24670.37 18677.58 223
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
BH-untuned68.27 14467.29 13771.21 16679.74 9753.22 12376.06 16177.46 17457.19 13366.10 14081.61 14845.37 13983.50 11845.42 22076.68 12676.91 234
VNet69.68 11170.19 8568.16 20479.73 9841.63 25670.53 23177.38 17560.37 7770.69 6586.63 6151.08 6177.09 22353.61 16081.69 6885.75 64
anonymousdsp67.00 16964.82 18373.57 10070.09 25456.13 8876.35 15377.35 17648.43 22764.99 15880.84 16933.01 24280.34 18564.66 7367.64 22084.23 122
cascas65.98 18463.42 19473.64 9877.26 15052.58 13272.26 21777.21 17748.56 22461.21 20074.60 25632.57 25385.82 6650.38 17976.75 12582.52 168
FMVSNet366.32 18165.61 17268.46 20276.48 16142.34 25074.98 18377.15 17855.83 15665.04 15581.16 16039.91 18680.14 19047.18 19972.76 15782.90 163
v14868.24 14867.19 14271.40 16270.43 25047.77 21275.76 16777.03 17958.91 11567.36 12680.10 18648.60 10281.89 15960.01 12666.52 22584.53 111
Fast-Effi-MVS+-dtu67.37 15965.33 17673.48 10572.94 21557.78 6477.47 13176.88 18057.60 13061.97 18976.85 23439.31 19280.49 18454.72 15170.28 19282.17 174
BH-w/o66.85 17165.83 17069.90 18779.29 10052.46 13574.66 18876.65 18154.51 17564.85 15978.12 21045.59 13482.95 13243.26 23475.54 13274.27 260
LTVRE_ROB55.42 1663.15 20761.23 21268.92 19776.57 15947.80 21059.92 28176.39 18254.35 17758.67 22982.46 12929.44 26881.49 16742.12 24271.14 17377.46 224
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
BH-RMVSNet68.81 12767.42 13272.97 12280.11 9252.53 13374.26 19276.29 18358.48 12268.38 10784.20 10242.59 16083.83 11346.53 20475.91 12982.56 166
F-COLMAP63.05 20860.87 21469.58 19176.99 15653.63 11778.12 10976.16 18447.97 23352.41 27381.61 14827.87 27578.11 21240.07 25366.66 22377.00 232
ab-mvs66.65 17566.42 16167.37 21076.17 16241.73 25470.41 23476.14 18553.99 18065.98 14183.51 11349.48 7376.24 23248.60 19373.46 15184.14 129
WR-MVS68.47 13868.47 11468.44 20380.20 9139.84 26273.75 20076.07 18664.68 2068.11 11383.63 11050.39 6879.14 20149.78 18269.66 20486.34 45
Effi-MVS+-dtu69.64 11367.53 12975.95 5176.10 16362.29 1880.20 8076.06 18759.83 9365.26 15177.09 23141.56 17384.02 10960.60 12271.09 17581.53 181
mvs-test170.44 9868.19 11877.18 3776.10 16363.22 680.59 7676.06 18759.83 9366.32 13879.87 18841.56 17385.53 7060.60 12272.77 15682.80 165
MSDG61.81 21859.23 22169.55 19272.64 22252.63 13170.45 23375.81 18951.38 20453.70 26676.11 24329.52 26681.08 17437.70 26265.79 22974.93 253
pm-mvs165.24 19264.97 18266.04 22372.38 22639.40 26572.62 21275.63 19055.53 16162.35 18783.18 11847.45 11676.47 22949.06 19066.54 22482.24 172
HyFIR lowres test65.67 18663.01 19873.67 9579.97 9455.65 9869.07 24375.52 19142.68 27763.53 17077.95 21240.43 18581.64 16346.01 21071.91 16783.73 140
pmmvs663.69 20462.82 20166.27 22070.63 24839.27 26673.13 20675.47 19252.69 18959.75 21782.30 13239.71 18977.03 22447.40 19864.35 24182.53 167
UGNet68.81 12767.39 13373.06 12178.33 12254.47 11079.77 8575.40 19360.45 7563.22 17184.40 10032.71 24980.91 17751.71 17280.56 7683.81 136
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
VDDNet71.81 7471.33 7173.26 11882.80 5747.60 21478.74 9675.27 19459.59 10472.94 4989.40 2941.51 17683.91 11158.75 13182.99 5588.26 5
mvs_anonymous68.03 15267.51 13069.59 19072.08 23144.57 23371.99 22075.23 19551.67 19767.06 12982.57 12654.68 2877.94 21456.56 14075.71 13186.26 50
TR-MVS66.59 17865.07 18171.17 16879.18 10349.63 19373.48 20375.20 19652.95 18667.90 11580.33 18139.81 18883.68 11543.20 23573.56 15080.20 201
IB-MVS56.42 1265.40 19162.73 20273.40 11274.89 17752.78 12973.09 20775.13 19755.69 15958.48 23373.73 26132.86 24486.32 5650.63 17770.11 19481.10 190
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
xiu_mvs_v1_base_debu68.58 13367.28 13872.48 13878.19 12657.19 7475.28 17475.09 19851.61 19870.04 7281.41 15632.79 24579.02 20363.81 9077.31 11581.22 187
xiu_mvs_v1_base68.58 13367.28 13872.48 13878.19 12657.19 7475.28 17475.09 19851.61 19870.04 7281.41 15632.79 24579.02 20363.81 9077.31 11581.22 187
xiu_mvs_v1_base_debi68.58 13367.28 13872.48 13878.19 12657.19 7475.28 17475.09 19851.61 19870.04 7281.41 15632.79 24579.02 20363.81 9077.31 11581.22 187
TransMVSNet (Re)64.72 19664.33 18465.87 22775.22 17538.56 26974.66 18875.08 20158.90 11661.79 19282.63 12451.18 6078.07 21343.63 23155.87 28480.99 192
MVS_dtu67.73 15566.31 16672.00 15077.04 15348.70 20176.70 14774.99 20257.07 13461.42 19881.29 15934.24 23082.66 14757.56 13576.47 12784.65 107
diffmvs67.72 15766.73 15370.70 17769.74 26047.69 21373.33 20474.74 20353.30 18464.51 16381.80 14249.25 8579.02 20359.15 13074.75 13585.39 85
LS3D64.71 19762.50 20471.34 16379.72 9955.71 9679.82 8474.72 20448.50 22656.62 24284.62 9433.59 23882.34 15329.65 29675.23 13375.97 238
Baseline_NR-MVSNet67.05 16767.56 12765.50 23075.65 16937.70 27675.42 17174.65 20559.90 8968.14 11283.15 11949.12 9477.20 22152.23 16869.78 20081.60 180
HY-MVS56.14 1364.55 20063.89 18766.55 21774.73 18041.02 25869.96 23874.43 20649.29 21861.66 19580.92 16547.43 11776.68 22744.91 22371.69 16981.94 176
GA-MVS65.53 18863.70 19171.02 17270.87 24648.10 20670.48 23274.40 20756.69 13964.70 16176.77 23533.66 23781.10 17355.42 14970.32 18883.87 135
无先验79.66 8874.30 20848.40 22880.78 18053.62 15879.03 215
CHOSEN 1792x268865.08 19562.84 20071.82 15381.49 6956.26 8666.32 25274.20 20940.53 28963.16 17378.65 20541.30 17877.80 21645.80 21274.09 14181.40 184
MS-PatchMatch62.42 21161.46 20965.31 23275.21 17652.10 13972.05 21974.05 21046.41 24557.42 23974.36 25734.35 22977.57 21945.62 21573.67 14666.26 296
USDC56.35 24754.24 25562.69 24764.74 28940.31 26165.05 26173.83 21143.93 26847.58 28777.71 21915.36 31075.05 23738.19 26161.81 25772.70 269
jason69.65 11268.39 11673.43 10878.27 12456.88 7977.12 13973.71 21246.53 24369.34 9383.22 11643.37 15779.18 19964.77 7279.20 9884.23 122
jason: jason.
COLMAP_ROBcopyleft52.97 1761.27 22258.81 22368.64 20074.63 18152.51 13478.42 10473.30 21349.92 21650.96 27881.51 15123.06 29879.40 19531.63 28965.85 22774.01 263
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
lupinMVS69.57 11468.28 11773.44 10778.76 11257.15 7776.57 14973.29 21446.19 24769.49 8882.18 13443.99 15379.23 19864.66 7379.37 9383.93 131
DP-MVS65.68 18563.66 19271.75 15484.93 4056.87 8080.74 7473.16 21553.06 18559.09 22582.35 13036.79 21585.94 6432.82 28469.96 19772.45 273
VPNet67.52 15868.11 12065.74 22879.18 10336.80 28072.17 21872.83 21662.04 5667.79 12285.83 7848.88 9876.60 22851.30 17472.97 15583.81 136
OurMVSNet-221017-061.37 22158.63 22669.61 18972.05 23248.06 20773.93 19872.51 21747.23 23954.74 25680.92 16521.49 30281.24 17048.57 19456.22 28379.53 209
EPNet73.09 5872.16 6075.90 5275.95 16656.28 8583.05 3672.39 21866.53 1265.27 15087.00 5450.40 6785.47 7362.48 10286.32 3985.94 56
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
1112_ss64.00 20363.36 19565.93 22679.28 10142.58 24971.35 22272.36 21946.41 24560.55 20977.89 21546.27 12973.28 24146.18 20769.97 19681.92 177
test_040263.25 20661.01 21369.96 18580.00 9354.37 11176.86 14572.02 22054.58 17358.71 22880.79 17035.00 22384.36 10026.41 30564.71 23671.15 285
EU-MVSNet55.61 25354.41 25359.19 25965.41 28733.42 29872.44 21571.91 22128.81 31351.27 27673.87 26024.76 29469.08 25743.04 23658.20 28075.06 249
LFMVS71.78 7571.59 6572.32 14783.40 5146.38 22279.75 8671.08 22264.18 2772.80 5188.64 4242.58 16183.72 11457.41 13784.49 4686.86 35
CDS-MVSNet66.80 17265.37 17471.10 17078.98 10753.13 12673.27 20571.07 22352.15 19464.72 16080.23 18543.56 15677.10 22245.48 21878.88 10183.05 160
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
OpenMVS_ROBcopyleft52.78 1860.03 22558.14 22965.69 22970.47 24944.82 22875.33 17270.86 22445.04 25656.06 24576.00 24426.89 28479.65 19235.36 27667.29 22172.60 270
CNLPA65.43 18964.02 18669.68 18878.73 11458.07 6177.82 12270.71 22551.49 20261.57 19783.58 11238.23 20470.82 24943.90 22870.10 19580.16 202
CostFormer64.04 20262.51 20368.61 20171.88 23545.77 22471.30 22370.60 22647.55 23664.31 16676.61 23841.63 17179.62 19349.74 18469.00 20880.42 198
Test_1112_low_res62.32 21261.77 20764.00 23979.08 10639.53 26468.17 24570.17 22743.25 27259.03 22679.90 18744.08 15171.24 24843.79 23068.42 21381.25 186
MVS_111021_LR69.50 11668.78 10971.65 15678.38 12159.33 4774.82 18670.11 22858.08 12767.83 12084.68 9241.96 16576.34 23165.62 6777.54 11279.30 212
Anonymous2023121155.92 25053.63 25962.77 24668.22 27035.56 28874.48 19169.89 22946.42 24449.07 28573.45 26321.13 30376.77 22628.74 29851.30 29875.97 238
DWT-MVSNet_test61.90 21559.93 21967.83 20671.98 23446.09 22371.03 22769.71 23050.09 21358.51 23270.62 27630.21 26377.63 21749.28 18867.91 21579.78 206
ANet_high41.38 29037.47 29453.11 28639.73 32824.45 32256.94 28969.69 23147.65 23526.04 31952.32 31412.44 31562.38 28121.80 31310.61 32872.49 272
SixPastTwentyTwo61.65 21958.80 22470.20 18375.80 16747.22 21775.59 16869.68 23254.61 17254.11 26479.26 19827.07 28282.96 13143.27 23349.79 30280.41 199
semantic-postprocess65.40 23171.99 23350.80 15569.63 23345.71 25460.61 20877.93 21336.56 21665.99 27055.67 14763.50 24679.42 210
TAMVS66.78 17365.27 17771.33 16479.16 10553.67 11573.84 19969.59 23452.32 19365.28 14981.72 14344.49 14877.40 22042.32 24178.66 10582.92 161
CMPMVSbinary42.80 2157.81 24055.97 24463.32 24160.98 30447.38 21664.66 26369.50 23532.06 31046.83 29177.80 21729.50 26771.36 24748.68 19273.75 14571.21 284
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
tpmp4_e2362.71 21060.13 21770.45 18073.40 19848.39 20472.82 21069.49 23644.88 25759.91 21374.99 25237.79 20881.47 16840.22 25267.71 21981.48 182
UnsupCasMVSNet_eth53.16 26552.47 26355.23 27659.45 31133.39 29959.43 28369.13 23745.98 24950.35 28372.32 26729.30 26958.26 29442.02 24444.30 31174.05 262
CVMVSNet59.63 23059.14 22261.08 25674.47 18438.84 26775.20 17768.74 23831.15 31158.24 23476.51 24032.39 25468.58 25949.77 18365.84 22875.81 242
PatchFormer-LS_test62.20 21360.59 21567.04 21372.18 23046.82 22070.36 23568.62 23951.92 19559.19 22370.23 27936.86 21475.07 23650.23 18165.68 23079.23 213
TinyColmap54.14 25751.72 26561.40 25466.84 27741.97 25166.52 25068.51 24044.81 25842.69 30675.77 24711.66 31872.94 24231.96 28656.77 28269.27 292
IterMVS62.79 20961.27 21167.35 21169.37 26152.04 14271.17 22468.24 24152.63 19059.82 21576.91 23337.32 21172.36 24452.80 16563.19 24977.66 222
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
旧先验183.04 5353.15 12467.52 24287.85 4844.08 15180.76 7178.03 221
AllTest57.08 24454.65 25164.39 23771.44 23949.03 19669.92 23967.30 24345.97 25047.16 28979.77 18917.47 30567.56 26133.65 28159.16 27776.57 235
TestCases64.39 23771.44 23949.03 19667.30 24345.97 25047.16 28979.77 18917.47 30567.56 26133.65 28159.16 27776.57 235
tpmvs58.47 23456.95 23763.03 24570.20 25341.21 25767.90 24767.23 24549.62 21754.73 25770.84 27534.14 23176.24 23236.64 27061.29 26371.64 281
Gipumacopyleft34.77 29831.91 30043.33 30562.05 29937.87 27320.39 32667.03 24623.23 31918.41 32325.84 3244.24 33062.73 27914.71 32251.32 29729.38 323
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
tpm262.07 21460.10 21867.99 20572.79 22043.86 23971.05 22666.85 24743.14 27462.77 17575.39 25038.32 20280.80 17941.69 24568.88 20979.32 211
XXY-MVS60.68 22361.67 20857.70 26970.43 25038.45 27064.19 26566.47 24848.05 23263.22 17180.86 16749.28 8160.47 28645.25 22267.28 22274.19 261
112168.53 13767.16 14372.63 13285.64 2661.14 2973.95 19566.46 24944.61 26170.28 7086.68 5941.42 17780.78 18053.62 15881.79 6475.97 238
新几何170.76 17485.66 2461.13 3066.43 25044.68 26070.29 6986.64 6041.29 17975.23 23549.72 18581.75 6675.93 241
tpm cat159.25 23156.95 23766.15 22172.19 22946.96 21868.09 24665.76 25140.03 29257.81 23670.56 27738.32 20274.51 23938.26 26061.50 26077.00 232
EPNet_dtu61.90 21561.97 20661.68 25172.89 21939.78 26375.85 16665.62 25255.09 16654.56 25979.36 19637.59 20967.02 26439.80 25676.95 12078.25 218
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
pmmvs461.48 22059.39 22067.76 20771.57 23853.86 11471.42 22165.34 25344.20 26559.46 21877.92 21435.90 21874.71 23843.87 22964.87 23574.71 257
testdata64.66 23581.52 6752.93 12765.29 25446.09 24873.88 3687.46 5038.08 20666.26 26853.31 16378.48 10774.78 256
TDRefinement53.44 26250.72 26861.60 25264.31 29246.96 21870.89 22865.27 25541.78 27944.61 29877.98 21111.52 31966.36 26728.57 30051.59 29671.49 282
MIMVSNet155.17 25554.31 25457.77 26870.03 25532.01 30365.68 25464.81 25649.19 21946.75 29276.00 24425.53 29164.04 27528.65 29962.13 25677.26 229
pmmvs-eth3d58.81 23256.31 24266.30 21967.61 27252.42 13772.30 21664.76 25743.55 27054.94 25574.19 25928.95 27072.60 24343.31 23257.21 28173.88 264
MDTV_nov1_ep1357.00 23672.73 22138.26 27165.02 26264.73 25844.74 25955.46 24972.48 26632.61 25270.47 25237.47 26367.75 218
UnsupCasMVSNet_bld50.07 27348.87 27253.66 28360.97 30533.67 29757.62 28864.56 25939.47 29447.38 28864.02 30027.47 27859.32 29034.69 27843.68 31267.98 295
ITE_SJBPF62.09 25066.16 28244.55 23464.32 26047.36 23855.31 25280.34 18019.27 30462.68 28036.29 27462.39 25579.04 214
WTY-MVS59.75 22860.39 21657.85 26772.32 22837.83 27461.05 27964.18 26145.95 25261.91 19079.11 20047.01 12260.88 28542.50 24069.49 20674.83 254
MDA-MVSNet-bldmvs53.87 26050.81 26763.05 24466.25 28148.58 20256.93 29063.82 26248.09 23141.22 30770.48 27830.34 26168.00 26034.24 27945.92 30972.57 271
Vis-MVSNet (Re-imp)63.69 20463.88 18863.14 24374.75 17931.04 30671.16 22563.64 26356.32 14759.80 21684.99 8844.51 14675.46 23439.12 25780.62 7282.92 161
test22283.14 5258.68 5572.57 21363.45 26441.78 27967.56 12486.12 7037.13 21378.73 10474.98 252
PVSNet50.76 1958.40 23557.39 23361.42 25375.53 17244.04 23861.43 27463.45 26447.04 24156.91 24073.61 26227.00 28364.76 27339.12 25772.40 16175.47 246
Patchmatch-test159.75 22858.00 23164.98 23474.14 19148.06 20763.35 26763.23 26649.13 22059.33 22271.46 27137.45 21069.59 25441.39 24962.57 25377.30 226
CR-MVSNet59.91 22657.90 23265.96 22469.96 25652.07 14065.31 25963.15 26742.48 27859.36 21974.84 25335.83 21970.75 25045.50 21764.65 23975.06 249
Patchmtry57.16 24356.47 24059.23 25869.17 26234.58 29362.98 26863.15 26744.53 26256.83 24174.84 25335.83 21968.71 25840.03 25460.91 26474.39 259
no-one40.85 29136.09 29555.14 27748.55 32138.72 26842.15 31962.92 26934.60 30723.55 32049.74 31912.21 31666.16 26926.27 30624.84 31960.54 306
pmmvs556.47 24555.68 24658.86 26161.41 30136.71 28166.37 25162.75 27040.38 29053.70 26676.62 23734.56 22567.05 26340.02 25565.27 23272.83 268
K. test v360.47 22457.11 23470.56 17873.74 19248.22 20575.10 18062.55 27158.27 12653.62 26876.31 24227.81 27681.59 16547.42 19739.18 31481.88 178
FMVSNet555.86 25154.93 24958.66 26371.05 24536.35 28364.18 26662.48 27246.76 24250.66 28174.73 25525.80 28964.04 27533.11 28365.57 23175.59 245
PatchmatchNetpermissive59.84 22758.24 22764.65 23673.05 21346.70 22169.42 24162.18 27347.55 23658.88 22771.96 26934.49 22769.16 25642.99 23763.60 24578.07 220
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
RPMNet58.70 23356.29 24365.96 22469.96 25652.07 14065.31 25962.15 27443.20 27359.36 21970.15 28135.37 22270.75 25036.42 27364.65 23975.06 249
Anonymous2023120655.10 25655.30 24854.48 28169.81 25933.94 29662.91 26962.13 27541.08 28455.18 25475.65 24832.75 24856.59 30230.32 29467.86 21672.91 267
sss56.17 24956.57 23954.96 27866.93 27636.32 28557.94 28761.69 27641.67 28158.64 23075.32 25138.72 19856.25 30542.04 24366.19 22672.31 278
tpmrst58.24 23658.70 22556.84 27166.97 27534.32 29469.57 24061.14 27747.17 24058.58 23171.60 27041.28 18060.41 28749.20 18962.84 25175.78 243
MIMVSNet57.35 24157.07 23558.22 26474.21 19037.18 27762.46 27060.88 27848.88 22255.29 25375.99 24631.68 25662.04 28231.87 28772.35 16275.43 247
LCM-MVSNet40.30 29235.88 29753.57 28442.24 32529.15 31045.21 31560.53 27922.23 32128.02 31850.98 3173.72 33261.78 28331.22 29238.76 31569.78 289
LP48.51 27545.51 28057.52 27062.86 29544.53 23552.38 30259.84 28038.11 29742.81 30561.02 30523.23 29763.02 27824.10 30845.24 31065.02 299
ADS-MVSNet251.33 27048.76 27359.07 26066.02 28544.60 23250.90 30559.76 28136.90 30050.74 27966.18 29526.38 28563.11 27727.17 30154.76 28869.50 290
new-patchmatchnet47.56 27847.73 27647.06 29958.81 3129.37 33148.78 30959.21 28243.28 27144.22 29968.66 28525.67 29057.20 29931.57 29149.35 30574.62 258
test20.0353.87 26054.02 25753.41 28561.47 30028.11 31261.30 27659.21 28251.34 20552.09 27477.43 22933.29 24158.55 29329.76 29560.27 27473.58 265
JIA-IIPM51.56 26947.68 27763.21 24264.61 29050.73 15747.71 31058.77 28442.90 27548.46 28651.72 31524.97 29370.24 25336.06 27553.89 29168.64 294
testgi51.90 26752.37 26450.51 29460.39 30723.55 32358.42 28558.15 28549.03 22151.83 27579.21 19922.39 29955.59 30829.24 29762.64 25272.40 277
LCM-MVSNet-Re61.88 21761.35 21063.46 24074.58 18231.48 30561.42 27558.14 28658.71 11853.02 27279.55 19443.07 15976.80 22545.69 21377.96 11082.11 175
test-LLR58.15 23858.13 23058.22 26468.57 26544.80 22965.46 25657.92 28750.08 21455.44 25069.82 28232.62 25057.44 29649.66 18673.62 14772.41 275
test-mter56.42 24655.82 24558.22 26468.57 26544.80 22965.46 25657.92 28739.94 29355.44 25069.82 28221.92 30157.44 29649.66 18673.62 14772.41 275
RPSCF55.80 25254.22 25660.53 25765.13 28842.91 24864.30 26457.62 28936.84 30258.05 23582.28 13328.01 27456.24 30637.14 26558.61 27982.44 171
GG-mvs-BLEND62.34 24871.36 24337.04 27969.20 24257.33 29054.73 25765.48 29730.37 26077.82 21534.82 27774.93 13472.17 279
111144.40 28545.00 28242.61 30657.55 31417.33 32853.82 29957.05 29140.78 28744.11 30066.57 29213.37 31345.77 32022.15 31049.58 30364.73 300
.test124534.88 29739.49 29221.04 31857.55 31417.33 32853.82 29957.05 29140.78 28744.11 30066.57 29213.37 31345.77 32022.15 3100.00 3310.03 330
MDA-MVSNet_test_wron50.71 27248.95 27156.00 27561.17 30241.84 25251.90 30456.45 29340.96 28544.79 29767.84 28730.04 26555.07 31236.71 26950.69 30071.11 286
YYNet150.73 27148.96 27056.03 27461.10 30341.78 25351.94 30356.44 29440.94 28644.84 29667.80 28830.08 26455.08 31136.77 26750.71 29971.22 283
gg-mvs-nofinetune57.86 23956.43 24162.18 24972.62 22335.35 28966.57 24956.33 29550.65 20957.64 23757.10 31130.65 25976.36 23037.38 26478.88 10174.82 255
TESTMET0.1,155.28 25454.90 25056.42 27266.56 28043.67 24165.46 25656.27 29639.18 29553.83 26567.44 28924.21 29655.46 31048.04 19673.11 15470.13 288
PMMVS53.96 25853.26 26256.04 27362.60 29750.92 15161.17 27856.09 29732.81 30853.51 27066.84 29134.04 23259.93 28944.14 22668.18 21457.27 311
tpm57.34 24258.16 22854.86 27971.80 23734.77 29167.47 24856.04 29848.20 23060.10 21176.92 23237.17 21253.41 31340.76 25165.01 23476.40 237
testus44.59 28443.87 28646.76 30059.85 31024.65 32153.86 29755.82 29936.26 30343.97 30263.42 3018.39 32553.14 31420.70 31652.52 29462.51 301
testmv42.25 28840.11 29148.66 29653.23 31627.02 31556.62 29155.74 30037.25 29933.10 31559.52 3097.78 32656.58 30319.61 31838.13 31662.40 302
test123567845.66 28044.46 28549.26 29559.88 30928.68 31156.36 29255.54 30139.12 29640.89 30963.40 30214.41 31257.32 29821.05 31449.47 30461.78 303
PVSNet_043.31 2047.46 27945.64 27952.92 28767.60 27344.65 23154.06 29654.64 30241.59 28246.15 29358.75 31030.99 25758.66 29232.18 28524.81 32055.46 312
dp51.89 26851.60 26652.77 28868.44 26832.45 30162.36 27154.57 30344.16 26649.31 28467.91 28628.87 27256.61 30133.89 28054.89 28769.24 293
PatchT53.17 26453.44 26152.33 29068.29 26925.34 32058.21 28654.41 30444.46 26354.56 25969.05 28433.32 24060.94 28436.93 26661.76 25870.73 287
testpf44.11 28645.40 28140.26 30860.52 30627.34 31433.26 32354.33 30545.87 25341.08 30860.26 30716.46 30759.14 29146.09 20850.68 30134.31 321
test0.0.03 153.32 26353.59 26052.50 28962.81 29629.45 30959.51 28254.11 30650.08 21454.40 26174.31 25832.62 25055.92 30730.50 29363.95 24372.15 280
PatchMatch-RL56.25 24854.55 25261.32 25577.06 15256.07 9065.57 25554.10 30744.13 26753.49 27171.27 27425.20 29266.78 26536.52 27263.66 24461.12 305
FPMVS42.18 28941.11 28945.39 30158.03 31341.01 25949.50 30753.81 30830.07 31233.71 31464.03 29811.69 31752.08 31614.01 32355.11 28643.09 318
test1235636.16 29635.94 29636.83 30950.82 3208.52 33244.84 31653.49 30932.72 30930.11 31755.08 3127.11 32849.47 31716.60 32032.68 31852.50 313
test235645.61 28144.66 28348.47 29860.15 30828.08 31352.44 30152.83 31038.01 29846.13 29460.98 30615.08 31155.54 30920.43 31755.85 28561.78 303
Patchmatch-RL test58.16 23755.49 24766.15 22167.92 27148.89 19960.66 28051.07 31147.86 23459.36 21962.71 30434.02 23372.27 24556.41 14159.40 27677.30 226
lessismore_v069.91 18671.42 24147.80 21050.90 31250.39 28275.56 24927.43 28081.33 16945.91 21134.10 31780.59 196
ADS-MVSNet48.48 27647.77 27550.63 29366.02 28529.92 30850.90 30550.87 31336.90 30050.74 27966.18 29526.38 28552.47 31527.17 30154.76 28869.50 290
EPMVS53.96 25853.69 25854.79 28066.12 28331.96 30462.34 27249.05 31444.42 26455.54 24871.33 27330.22 26256.70 30041.65 24762.54 25475.71 244
PMVScopyleft28.69 2236.22 29533.29 29945.02 30336.82 33035.98 28754.68 29548.74 31526.31 31621.02 32151.61 3162.88 33460.10 2889.99 32747.58 30738.99 320
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
LF4IMVS42.95 28742.26 28745.04 30248.30 32232.50 30054.80 29448.49 31628.03 31440.51 31170.16 2809.24 32343.89 32331.63 28949.18 30658.72 308
Patchmatch-test49.08 27448.28 27451.50 29264.40 29130.85 30745.68 31348.46 31735.60 30446.10 29572.10 26834.47 22846.37 31927.08 30360.65 26877.27 228
door47.60 318
wuykxyi23d28.12 30122.54 30644.87 30434.97 33132.11 30237.96 32247.31 31913.32 3269.29 33023.72 3260.45 33756.58 30321.85 31213.98 32445.93 317
door-mid47.19 320
pmmvs344.92 28341.95 28853.86 28252.58 31843.55 24262.11 27346.90 32126.05 31740.63 31060.19 30811.08 32157.91 29531.83 28846.15 30860.11 307
MVS-HIRNet45.52 28244.48 28448.65 29768.49 26734.05 29559.41 28444.50 32227.03 31537.96 31350.47 31826.16 28864.10 27426.74 30459.52 27547.82 315
CHOSEN 280x42047.83 27746.36 27852.24 29167.37 27449.78 18738.91 32143.11 32335.00 30543.27 30463.30 30328.95 27049.19 31836.53 27160.80 26757.76 310
PM-MVS52.33 26650.19 26958.75 26262.10 29845.14 22765.75 25340.38 32443.60 26953.52 26972.65 2659.16 32465.87 27150.41 17854.18 29065.24 298
E-PMN23.77 30422.73 30526.90 31642.02 32620.67 32442.66 31835.70 32517.43 32310.28 32825.05 3256.42 32942.39 32610.28 32614.71 32317.63 324
EMVS22.97 30521.84 30726.36 31740.20 32719.53 32641.95 32034.64 32617.09 3249.73 32922.83 3277.29 32742.22 3279.18 32813.66 32517.32 325
new_pmnet34.13 29934.29 29833.64 31152.63 31718.23 32744.43 31733.90 32722.81 32030.89 31653.18 31310.48 32235.72 32920.77 31539.51 31346.98 316
PNet_i23d27.88 30225.99 30233.55 31247.54 32325.89 31747.24 31232.91 32821.44 32215.90 32438.09 3210.85 33642.76 32416.90 31913.03 32632.00 322
DSMNet-mixed39.30 29438.72 29341.03 30751.22 31919.66 32545.53 31431.35 32915.83 32539.80 31267.42 29022.19 30045.13 32222.43 30952.69 29358.31 309
PMMVS227.40 30325.91 30331.87 31439.46 3296.57 33331.17 32428.52 33023.96 31820.45 32248.94 3204.20 33137.94 32816.51 32119.97 32151.09 314
MVEpermissive17.77 2321.41 30617.77 30832.34 31334.34 33225.44 31916.11 32724.11 33111.19 32713.22 32631.92 3221.58 33530.95 33010.47 32517.03 32240.62 319
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
MTMP17.08 332
tmp_tt9.43 30911.14 3104.30 3212.38 3344.40 33413.62 32816.08 3330.39 33015.89 32513.06 32815.80 3095.54 33312.63 32410.46 3292.95 327
DeepMVS_CXcopyleft12.03 32017.97 33310.91 33010.60 3347.46 32811.07 32728.36 3233.28 33311.29 3328.01 3299.74 33013.89 326
wuyk23d13.32 30812.52 30915.71 31947.54 32326.27 31631.06 3251.98 3354.93 3295.18 3311.94 3320.45 33718.54 3316.81 33012.83 3272.33 328
N_pmnet39.35 29340.28 29036.54 31063.76 2931.62 33549.37 3080.76 33634.62 30643.61 30366.38 29426.25 28742.57 32526.02 30751.77 29565.44 297
pcd_1.5k_mvsjas3.92 3135.23 3140.00 3240.00 3370.00 3370.00 3290.00 3370.00 3330.00 3340.00 33547.05 1190.00 3340.00 3330.00 3310.00 332
sosnet-low-res0.00 3140.00 3150.00 3240.00 3370.00 3370.00 3290.00 3370.00 3330.00 3340.00 3350.00 3400.00 3340.00 3330.00 3310.00 332
sosnet0.00 3140.00 3150.00 3240.00 3370.00 3370.00 3290.00 3370.00 3330.00 3340.00 3350.00 3400.00 3340.00 3330.00 3310.00 332
uncertanet0.00 3140.00 3150.00 3240.00 3370.00 3370.00 3290.00 3370.00 3330.00 3340.00 3350.00 3400.00 3340.00 3330.00 3310.00 332
Regformer0.00 3140.00 3150.00 3240.00 3370.00 3370.00 3290.00 3370.00 3330.00 3340.00 3350.00 3400.00 3340.00 3330.00 3310.00 332
testmvs4.52 3126.03 3130.01 3230.01 3350.00 33753.86 2970.00 3370.01 3310.04 3320.27 3330.00 3400.00 3340.04 3310.00 3310.03 330
test1234.73 3116.30 3120.02 3220.01 3350.01 33656.36 2920.00 3370.01 3310.04 3320.21 3340.01 3390.00 3340.03 3320.00 3310.04 329
n20.00 337
nn0.00 337
ab-mvs-re6.49 3108.65 3110.00 3240.00 3370.00 3370.00 3290.00 3370.00 3330.00 33477.89 2150.00 3400.00 3340.00 3330.00 3310.00 332
uanet0.00 3140.00 3150.00 3240.00 3370.00 3370.00 3290.00 3370.00 3330.00 3340.00 3350.00 3400.00 3340.00 3330.00 3310.00 332
sam_mvs134.74 224
sam_mvs33.43 239
test_post168.67 2443.64 33032.39 25469.49 25544.17 225
test_post3.55 33133.90 23466.52 266
patchmatchnet-post64.03 29834.50 22674.27 240
gm-plane-assit71.40 24241.72 25548.85 22373.31 26482.48 15248.90 191
test9_res75.28 1488.31 1683.81 136
agg_prior273.09 2887.93 2384.33 114
test_prior462.51 1782.08 56
test_prior281.75 5860.37 7775.01 2089.06 3356.22 1772.19 3188.96 8
旧先验276.08 16045.32 25576.55 1365.56 27258.75 131
新几何276.12 158
原ACMM279.02 94
testdata272.18 24646.95 203
segment_acmp54.23 32
testdata172.65 21160.50 74
plane_prior781.41 7055.96 92
plane_prior681.20 7556.24 8745.26 141
plane_prior486.10 71
plane_prior356.09 8963.92 2969.27 94
plane_prior284.22 2264.52 23
plane_prior181.27 73
plane_prior56.31 8383.58 3163.19 3680.48 77
HQP5-MVS54.94 105
HQP-NCC80.66 8182.31 5062.10 5367.85 116
ACMP_Plane80.66 8182.31 5062.10 5367.85 116
BP-MVS67.04 57
HQP4-MVS67.85 11686.93 3884.32 115
HQP2-MVS45.46 135
NP-MVS80.98 7956.05 9185.54 84
MDTV_nov1_ep13_2view25.89 31761.22 27740.10 29151.10 27732.97 24338.49 25978.61 216
ACMMP++_ref74.07 143
ACMMP++72.16 165
Test By Simon48.33 104