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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort bysort bysort bysort bysort bysort by
test_241102_ONE95.30 270.98 6294.06 1277.17 4993.10 195.39 882.99 197.27 6
test072695.27 371.25 5793.60 494.11 777.33 4592.81 295.79 380.98 5
test_241102_TWO94.06 1277.24 4792.78 395.72 681.26 497.44 289.07 696.58 294.26 28
SMA-MVS89.08 589.23 588.61 294.25 2473.73 792.40 1893.63 2174.77 10192.29 495.97 274.28 2997.24 788.58 896.91 194.87 7
DPE-MVS89.48 389.98 288.01 1194.80 772.69 2991.59 3594.10 975.90 8092.29 495.66 781.67 297.38 587.44 1596.34 893.95 41
DVP-MVS89.60 190.35 187.33 4095.27 371.25 5793.49 592.73 5777.33 4592.12 695.78 480.98 597.40 389.08 496.41 593.33 72
test_0728_THIRD78.38 3292.12 695.78 481.46 397.40 389.42 296.57 394.67 13
test_part295.06 572.65 3091.80 8
MSP-MVS89.51 289.91 388.30 694.28 2373.46 1592.90 1294.11 780.27 1291.35 994.16 3578.35 896.77 1889.59 194.22 5694.67 13
APDe-MVS89.15 489.63 487.73 2494.49 1571.69 5393.83 293.96 1575.70 8591.06 1096.03 176.84 1097.03 1189.09 395.65 2594.47 20
SD-MVS88.06 1388.50 1286.71 5292.60 6472.71 2791.81 3493.19 3677.87 3390.32 1194.00 4074.83 2293.78 13287.63 1294.27 5593.65 59
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
DeepPCF-MVS80.84 188.10 1188.56 1186.73 5192.24 6669.03 9689.57 8093.39 3177.53 4289.79 1294.12 3778.98 796.58 3085.66 2295.72 2294.58 16
xxxxxxxxxxxxxcwj88.46 988.74 987.64 3292.78 5671.95 4792.40 1894.74 275.71 8289.16 1395.10 1075.65 1696.19 3987.07 1696.01 1094.79 8
SF-MVS88.46 988.74 987.64 3292.78 5671.95 4792.40 1894.74 275.71 8289.16 1395.10 1075.65 1696.19 3987.07 1696.01 1094.79 8
TSAR-MVS + MP.88.02 1688.11 1587.72 2693.68 3872.13 4491.41 4092.35 7174.62 10588.90 1593.85 4375.75 1596.00 4787.80 1094.63 4595.04 3
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
ETH3D-3000-0.188.09 1288.29 1387.50 3692.76 5871.89 5191.43 3994.70 474.47 10788.86 1694.61 1875.23 1995.84 5186.62 2195.92 1494.78 10
APD-MVScopyleft87.44 2487.52 2287.19 4294.24 2572.39 3991.86 3392.83 5373.01 13588.58 1794.52 1973.36 3496.49 3184.26 3895.01 3592.70 92
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
9.1488.26 1492.84 5591.52 3894.75 173.93 11988.57 1894.67 1675.57 1895.79 5386.77 1895.76 21
testtj87.78 1887.78 1987.77 2294.55 1372.47 3692.23 2793.49 2674.75 10288.33 1994.43 2673.27 3697.02 1284.18 4194.84 4193.82 49
ACMMP_NAP88.05 1588.08 1687.94 1493.70 3673.05 2090.86 4793.59 2276.27 7688.14 2095.09 1271.06 5396.67 2287.67 1196.37 794.09 33
SteuartSystems-ACMMP88.72 888.86 888.32 592.14 6872.96 2393.73 393.67 2080.19 1488.10 2194.80 1373.76 3397.11 987.51 1395.82 1794.90 6
Skip Steuart: Steuart Systems R&D Blog.
CNVR-MVS88.93 789.13 788.33 494.77 873.82 690.51 5493.00 4380.90 988.06 2294.06 3976.43 1196.84 1588.48 995.99 1294.34 24
canonicalmvs85.91 4985.87 5086.04 6589.84 10369.44 9490.45 5993.00 4376.70 6588.01 2391.23 9073.28 3593.91 12681.50 6288.80 10694.77 11
HPM-MVS++copyleft89.02 689.15 688.63 195.01 676.03 192.38 2292.85 5280.26 1387.78 2494.27 3075.89 1496.81 1787.45 1496.44 493.05 83
alignmvs85.48 5485.32 5585.96 6689.51 11169.47 9189.74 7692.47 6576.17 7787.73 2591.46 8770.32 6193.78 13281.51 6188.95 10394.63 15
ETH3 D test640087.50 2387.44 2487.70 2993.71 3571.75 5290.62 5294.05 1470.80 16387.59 2693.51 4777.57 996.63 2583.31 4595.77 1994.72 12
ETH3D cwj APD-0.1687.31 3087.27 2687.44 3891.60 7572.45 3890.02 6894.37 571.76 14887.28 2794.27 3075.18 2096.08 4385.16 2595.77 1993.80 52
旧先验286.56 17058.10 30587.04 2888.98 25974.07 122
Regformer-286.63 4186.53 4086.95 4689.33 11771.24 5988.43 11192.05 8082.50 186.88 2990.09 11574.45 2495.61 5784.38 3690.63 8594.01 38
SR-MVS86.73 3786.67 3886.91 4794.11 3172.11 4592.37 2392.56 6474.50 10686.84 3094.65 1767.31 8795.77 5484.80 3292.85 6492.84 90
Regformer-186.41 4586.33 4186.64 5389.33 11770.93 6688.43 11191.39 10982.14 386.65 3190.09 11574.39 2795.01 8383.97 4390.63 8593.97 40
MP-MVS-pluss87.67 2087.72 2087.54 3493.64 3972.04 4689.80 7493.50 2575.17 9686.34 3295.29 970.86 5496.00 4788.78 796.04 994.58 16
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
APD-MVS_3200maxsize85.97 4885.88 4986.22 6192.69 6069.53 8991.93 3292.99 4573.54 12785.94 3394.51 2265.80 10395.61 5783.04 5292.51 6993.53 66
zzz-MVS87.53 2287.41 2587.90 1894.18 2874.25 290.23 6392.02 8179.45 1985.88 3494.80 1368.07 7896.21 3786.69 1995.34 2993.23 75
MTAPA87.23 3187.00 3287.90 1894.18 2874.25 286.58 16992.02 8179.45 1985.88 3494.80 1368.07 7896.21 3786.69 1995.34 2993.23 75
TSAR-MVS + GP.85.71 5285.33 5486.84 4891.34 7772.50 3489.07 9287.28 21776.41 6985.80 3690.22 11374.15 3295.37 7081.82 6091.88 7192.65 96
NCCC88.06 1388.01 1788.24 794.41 1973.62 891.22 4492.83 5381.50 685.79 3793.47 5073.02 3997.00 1384.90 2894.94 3794.10 32
testdata79.97 21990.90 8464.21 18984.71 24259.27 29885.40 3892.91 6162.02 14589.08 25768.95 17091.37 7786.63 269
Regformer-485.68 5385.45 5286.35 5788.95 13469.67 8688.29 12191.29 11181.73 585.36 3990.01 11772.62 4195.35 7183.28 4887.57 11994.03 36
abl_685.23 5984.95 6286.07 6492.23 6770.48 7390.80 4992.08 7973.51 12885.26 4094.16 3562.75 13195.92 5082.46 5891.30 7991.81 120
ZNCC-MVS87.94 1787.85 1888.20 894.39 2173.33 1793.03 1093.81 1876.81 5985.24 4194.32 2971.76 4896.93 1485.53 2495.79 1894.32 25
PHI-MVS86.43 4386.17 4687.24 4190.88 8570.96 6392.27 2694.07 1172.45 13885.22 4291.90 7569.47 6996.42 3283.28 4895.94 1394.35 23
Regformer-385.23 5985.07 5985.70 6888.95 13469.01 9888.29 12189.91 15080.95 885.01 4390.01 11772.45 4294.19 11282.50 5787.57 11993.90 44
TEST993.26 4572.96 2388.75 10291.89 9068.44 21385.00 4493.10 5674.36 2895.41 65
train_agg86.43 4386.20 4487.13 4493.26 4572.96 2388.75 10291.89 9068.69 20985.00 4493.10 5674.43 2595.41 6584.97 2795.71 2393.02 85
HFP-MVS87.58 2187.47 2387.94 1494.58 1173.54 1293.04 893.24 3376.78 6184.91 4694.44 2470.78 5596.61 2684.53 3494.89 3993.66 54
#test#87.33 2987.13 3187.94 1494.58 1173.54 1292.34 2493.24 3375.23 9384.91 4694.44 2470.78 5596.61 2683.75 4494.89 3993.66 54
test_prior386.73 3786.86 3786.33 5892.61 6269.59 8788.85 9892.97 4875.41 8984.91 4693.54 4574.28 2995.48 6183.31 4595.86 1593.91 42
test_prior288.85 9875.41 8984.91 4693.54 4574.28 2983.31 4595.86 15
test_893.13 4772.57 3388.68 10691.84 9368.69 20984.87 5093.10 5674.43 2595.16 75
MCST-MVS87.37 2887.25 2887.73 2494.53 1472.46 3789.82 7293.82 1773.07 13384.86 5192.89 6276.22 1296.33 3384.89 3095.13 3494.40 21
GST-MVS87.42 2687.26 2787.89 2194.12 3072.97 2292.39 2193.43 2976.89 5784.68 5293.99 4170.67 5896.82 1684.18 4195.01 3593.90 44
ACMMPR87.44 2487.23 2988.08 1094.64 973.59 993.04 893.20 3576.78 6184.66 5394.52 1968.81 7696.65 2384.53 3494.90 3894.00 39
CDPH-MVS85.76 5185.29 5787.17 4393.49 4271.08 6088.58 10992.42 6968.32 21484.61 5493.48 4872.32 4396.15 4279.00 7995.43 2794.28 27
UA-Net85.08 6384.96 6185.45 7092.07 6968.07 12389.78 7590.86 12382.48 284.60 5593.20 5469.35 7095.22 7371.39 14790.88 8393.07 82
region2R87.42 2687.20 3088.09 994.63 1073.55 1093.03 1093.12 3876.73 6484.45 5694.52 1969.09 7396.70 2184.37 3794.83 4294.03 36
agg_prior186.22 4786.09 4886.62 5492.85 5371.94 4988.59 10891.78 9668.96 20484.41 5793.18 5574.94 2194.93 8484.75 3395.33 3193.01 86
agg_prior92.85 5371.94 4991.78 9684.41 5794.93 84
VDD-MVS83.01 8582.36 8684.96 8491.02 8266.40 14888.91 9588.11 19777.57 3884.39 5993.29 5352.19 22893.91 12677.05 9988.70 10894.57 18
casdiffmvs85.11 6285.14 5885.01 8287.20 19065.77 16087.75 13692.83 5377.84 3484.36 6092.38 6872.15 4593.93 12581.27 6490.48 8795.33 1
MSLP-MVS++85.43 5685.76 5184.45 9991.93 7170.24 7490.71 5092.86 5177.46 4484.22 6192.81 6667.16 8992.94 16980.36 7294.35 5390.16 167
DeepC-MVS_fast79.65 386.91 3686.62 3987.76 2393.52 4172.37 4091.26 4193.04 3976.62 6684.22 6193.36 5271.44 5196.76 1980.82 6895.33 3194.16 30
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ETV-MVS84.90 6684.67 6585.59 6989.39 11568.66 11288.74 10492.64 6279.97 1784.10 6385.71 22869.32 7195.38 6780.82 6891.37 7792.72 91
VNet82.21 9282.41 8481.62 18490.82 8660.93 23984.47 21889.78 15276.36 7484.07 6491.88 7664.71 11190.26 23770.68 15288.89 10493.66 54
baseline84.93 6484.98 6084.80 9187.30 18865.39 16787.30 14792.88 5077.62 3684.04 6592.26 6971.81 4793.96 11981.31 6390.30 8995.03 4
PGM-MVS86.68 3986.27 4387.90 1894.22 2673.38 1690.22 6593.04 3975.53 8783.86 6694.42 2767.87 8296.64 2482.70 5594.57 4793.66 54
MP-MVScopyleft87.71 1987.64 2187.93 1794.36 2273.88 492.71 1792.65 6177.57 3883.84 6794.40 2872.24 4496.28 3585.65 2395.30 3393.62 61
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
HPM-MVScopyleft87.11 3386.98 3387.50 3693.88 3372.16 4392.19 2893.33 3276.07 7983.81 6893.95 4269.77 6796.01 4685.15 2694.66 4494.32 25
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
CP-MVS87.11 3386.92 3487.68 3194.20 2773.86 593.98 192.82 5676.62 6683.68 6994.46 2367.93 8095.95 4984.20 4094.39 5193.23 75
XVS87.18 3286.91 3588.00 1294.42 1773.33 1792.78 1392.99 4579.14 2183.67 7094.17 3467.45 8596.60 2883.06 5094.50 4894.07 34
X-MVStestdata80.37 13377.83 16688.00 1294.42 1773.33 1792.78 1392.99 4579.14 2183.67 7012.47 34667.45 8596.60 2883.06 5094.50 4894.07 34
DELS-MVS85.41 5785.30 5685.77 6788.49 15067.93 12585.52 19993.44 2878.70 2883.63 7289.03 14274.57 2395.71 5680.26 7494.04 5793.66 54
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
LFMVS81.82 10081.23 10083.57 12891.89 7263.43 20789.84 7181.85 28177.04 5483.21 7393.10 5652.26 22793.43 14971.98 14289.95 9693.85 46
VDDNet81.52 10580.67 10784.05 11490.44 9164.13 19189.73 7785.91 23471.11 15983.18 7493.48 4850.54 25193.49 14673.40 13088.25 11594.54 19
CSCG86.41 4586.19 4587.07 4592.91 5272.48 3590.81 4893.56 2373.95 11783.16 7591.07 9675.94 1395.19 7479.94 7694.38 5293.55 64
nrg03083.88 6983.53 7084.96 8486.77 19869.28 9590.46 5892.67 5974.79 10082.95 7691.33 8972.70 4093.09 16380.79 7079.28 22092.50 99
EI-MVSNet-Vis-set84.19 6883.81 6985.31 7288.18 15967.85 12687.66 13889.73 15580.05 1682.95 7689.59 12770.74 5794.82 9280.66 7184.72 15493.28 74
MVS_Test83.15 8183.06 7683.41 13386.86 19463.21 21186.11 18292.00 8474.31 11082.87 7889.44 13570.03 6393.21 15477.39 9688.50 11393.81 50
DPM-MVS84.93 6484.29 6886.84 4890.20 9573.04 2187.12 15193.04 3969.80 18282.85 7991.22 9173.06 3896.02 4576.72 10494.63 4591.46 129
DeepC-MVS79.81 287.08 3586.88 3687.69 3091.16 7972.32 4290.31 6193.94 1677.12 5182.82 8094.23 3372.13 4697.09 1084.83 3195.37 2893.65 59
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
mPP-MVS86.67 4086.32 4287.72 2694.41 1973.55 1092.74 1592.22 7476.87 5882.81 8194.25 3266.44 9496.24 3682.88 5494.28 5493.38 69
test1286.80 5092.63 6170.70 7191.79 9582.71 8271.67 4996.16 4194.50 4893.54 65
HPM-MVS_fast85.35 5884.95 6286.57 5693.69 3770.58 7292.15 3091.62 10073.89 12082.67 8394.09 3862.60 13295.54 6080.93 6692.93 6293.57 63
CS-MVS84.76 6784.61 6685.22 7789.66 10566.43 14790.23 6393.56 2376.52 6882.59 8485.93 22270.41 5995.80 5279.93 7792.68 6793.42 68
Effi-MVS+83.62 7483.08 7585.24 7588.38 15567.45 13188.89 9689.15 17275.50 8882.27 8588.28 16169.61 6894.45 10277.81 9187.84 11793.84 48
EI-MVSNet-UG-set83.81 7083.38 7285.09 8087.87 16867.53 13087.44 14489.66 15679.74 1882.23 8689.41 13670.24 6294.74 9579.95 7583.92 16292.99 87
MVS_111021_HR85.14 6184.75 6486.32 6091.65 7472.70 2885.98 18490.33 13876.11 7882.08 8791.61 8271.36 5294.17 11481.02 6592.58 6892.08 113
diffmvs82.10 9381.88 9482.76 16783.00 25763.78 19783.68 23589.76 15372.94 13682.02 8889.85 12065.96 10290.79 23182.38 5987.30 12693.71 53
xiu_mvs_v1_base_debu80.80 12179.72 12484.03 11687.35 18370.19 7785.56 19288.77 18669.06 20081.83 8988.16 16450.91 24592.85 17178.29 8887.56 12189.06 206
xiu_mvs_v1_base80.80 12179.72 12484.03 11687.35 18370.19 7785.56 19288.77 18669.06 20081.83 8988.16 16450.91 24592.85 17178.29 8887.56 12189.06 206
xiu_mvs_v1_base_debi80.80 12179.72 12484.03 11687.35 18370.19 7785.56 19288.77 18669.06 20081.83 8988.16 16450.91 24592.85 17178.29 8887.56 12189.06 206
新几何183.42 13193.13 4770.71 7085.48 23657.43 31081.80 9291.98 7363.28 12092.27 18864.60 20792.99 6187.27 253
test_yl81.17 11080.47 11183.24 13989.13 12963.62 19886.21 17889.95 14872.43 14181.78 9389.61 12557.50 18893.58 14070.75 15086.90 13192.52 97
DCV-MVSNet81.17 11080.47 11183.24 13989.13 12963.62 19886.21 17889.95 14872.43 14181.78 9389.61 12557.50 18893.58 14070.75 15086.90 13192.52 97
112180.84 11679.77 12284.05 11493.11 4970.78 6984.66 21285.42 23757.37 31181.76 9592.02 7263.41 11894.12 11567.28 18292.93 6287.26 254
MG-MVS83.41 7783.45 7183.28 13692.74 5962.28 22588.17 12689.50 16075.22 9481.49 9692.74 6766.75 9095.11 7772.85 13691.58 7492.45 100
CANet86.45 4286.10 4787.51 3590.09 9770.94 6589.70 7892.59 6381.78 481.32 9791.43 8870.34 6097.23 884.26 3893.36 6094.37 22
MVSFormer82.85 8682.05 9085.24 7587.35 18370.21 7590.50 5590.38 13468.55 21181.32 9789.47 13061.68 14793.46 14778.98 8090.26 9092.05 114
lupinMVS81.39 10880.27 11684.76 9287.35 18370.21 7585.55 19586.41 22662.85 26981.32 9788.61 15161.68 14792.24 19178.41 8690.26 9091.83 118
xiu_mvs_v2_base81.69 10181.05 10383.60 12689.15 12868.03 12484.46 22090.02 14670.67 16781.30 10086.53 21263.17 12494.19 11275.60 11388.54 11188.57 228
PS-MVSNAJ81.69 10181.02 10483.70 12589.51 11168.21 12184.28 22690.09 14570.79 16481.26 10185.62 23263.15 12594.29 10475.62 11288.87 10588.59 227
原ACMM184.35 10393.01 5168.79 10292.44 6663.96 26181.09 10291.57 8366.06 9995.45 6367.19 18594.82 4388.81 221
jason81.39 10880.29 11584.70 9386.63 20069.90 8285.95 18586.77 22263.24 26381.07 10389.47 13061.08 16192.15 19378.33 8790.07 9592.05 114
jason: jason.
OPM-MVS83.50 7582.95 7885.14 7888.79 14270.95 6489.13 9191.52 10377.55 4180.96 10491.75 7760.71 16594.50 10179.67 7886.51 13889.97 183
Vis-MVSNetpermissive83.46 7682.80 8185.43 7190.25 9468.74 10690.30 6290.13 14476.33 7580.87 10592.89 6261.00 16294.20 11172.45 14090.97 8193.35 71
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
ACMMPcopyleft85.89 5085.39 5387.38 3993.59 4072.63 3192.74 1593.18 3776.78 6180.73 10693.82 4464.33 11296.29 3482.67 5690.69 8493.23 75
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
Anonymous2024052980.19 13778.89 14284.10 11190.60 8864.75 17988.95 9490.90 12165.97 23780.59 10791.17 9349.97 25693.73 13869.16 16882.70 18293.81 50
MVS_111021_LR82.61 8982.11 8884.11 11088.82 13971.58 5485.15 20286.16 23174.69 10380.47 10891.04 9762.29 13990.55 23580.33 7390.08 9490.20 166
VPA-MVSNet80.60 12780.55 10980.76 20688.07 16360.80 24286.86 15991.58 10275.67 8680.24 10989.45 13463.34 11990.25 23870.51 15479.22 22191.23 133
Anonymous20240521178.25 17677.01 18381.99 17891.03 8160.67 24384.77 21083.90 25370.65 16980.00 11091.20 9241.08 31091.43 21465.21 20085.26 14993.85 46
test22291.50 7668.26 11984.16 22783.20 26754.63 32279.74 11191.63 8158.97 17891.42 7686.77 265
OMC-MVS82.69 8781.97 9384.85 8888.75 14467.42 13287.98 12990.87 12274.92 9979.72 11291.65 7962.19 14293.96 11975.26 11586.42 13993.16 80
CPTT-MVS83.73 7183.33 7384.92 8793.28 4470.86 6892.09 3190.38 13468.75 20879.57 11392.83 6460.60 16993.04 16780.92 6791.56 7590.86 143
IS-MVSNet83.15 8182.81 8084.18 10989.94 10163.30 20991.59 3588.46 19479.04 2579.49 11492.16 7065.10 10894.28 10567.71 17791.86 7294.95 5
PS-MVSNAJss82.07 9581.31 9884.34 10486.51 20167.27 13689.27 8491.51 10471.75 14979.37 11590.22 11363.15 12594.27 10677.69 9282.36 18591.49 127
EPP-MVSNet83.40 7883.02 7784.57 9590.13 9664.47 18592.32 2590.73 12574.45 10979.35 11691.10 9469.05 7595.12 7672.78 13787.22 12794.13 31
DP-MVS Recon83.11 8382.09 8986.15 6294.44 1670.92 6788.79 10092.20 7570.53 17079.17 11791.03 9964.12 11496.03 4468.39 17490.14 9291.50 126
ab-mvs79.51 14778.97 14181.14 19888.46 15260.91 24083.84 23389.24 16970.36 17279.03 11888.87 14563.23 12390.21 23965.12 20182.57 18392.28 106
EIA-MVS83.31 8082.80 8184.82 8989.59 10765.59 16288.21 12492.68 5874.66 10478.96 11986.42 21469.06 7495.26 7275.54 11490.09 9393.62 61
PVSNet_Blended_VisFu82.62 8881.83 9584.96 8490.80 8769.76 8488.74 10491.70 9969.39 19078.96 11988.46 15665.47 10594.87 9174.42 11888.57 10990.24 165
HQP_MVS83.64 7383.14 7485.14 7890.08 9868.71 10891.25 4292.44 6679.12 2378.92 12191.00 10060.42 17195.38 6778.71 8286.32 14091.33 130
plane_prior368.60 11378.44 3078.92 121
EI-MVSNet80.52 13079.98 11882.12 17484.28 22963.19 21386.41 17288.95 18274.18 11478.69 12387.54 17866.62 9192.43 18272.57 13980.57 20490.74 147
MVSTER79.01 16177.88 16582.38 17283.07 25464.80 17884.08 23288.95 18269.01 20378.69 12387.17 18954.70 20892.43 18274.69 11780.57 20489.89 186
API-MVS81.99 9781.23 10084.26 10790.94 8370.18 8091.10 4589.32 16471.51 15578.66 12588.28 16165.26 10695.10 8064.74 20691.23 8087.51 247
UniMVSNet (Re)81.60 10481.11 10283.09 14688.38 15564.41 18687.60 13993.02 4278.42 3178.56 12688.16 16469.78 6693.26 15369.58 16476.49 24691.60 122
MAR-MVS81.84 9980.70 10685.27 7491.32 7871.53 5589.82 7290.92 12069.77 18378.50 12786.21 21862.36 13894.52 10065.36 19992.05 7089.77 191
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
Fast-Effi-MVS+80.81 11979.92 11983.47 12988.85 13664.51 18285.53 19789.39 16270.79 16478.49 12885.06 24467.54 8493.58 14067.03 18886.58 13692.32 104
FIs82.07 9582.42 8381.04 20188.80 14158.34 26388.26 12393.49 2676.93 5678.47 12991.04 9769.92 6592.34 18769.87 16184.97 15192.44 101
UniMVSNet_NR-MVSNet81.88 9881.54 9782.92 15588.46 15263.46 20587.13 15092.37 7080.19 1478.38 13089.14 13871.66 5093.05 16570.05 15876.46 24792.25 107
DU-MVS81.12 11280.52 11082.90 15687.80 17163.46 20587.02 15491.87 9279.01 2678.38 13089.07 14065.02 10993.05 16570.05 15876.46 24792.20 109
CLD-MVS82.31 9181.65 9684.29 10688.47 15167.73 12985.81 19092.35 7175.78 8178.33 13286.58 20964.01 11594.35 10376.05 10887.48 12490.79 144
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
VPNet78.69 16878.66 14578.76 24288.31 15755.72 30184.45 22186.63 22476.79 6078.26 13390.55 10759.30 17689.70 24766.63 18977.05 23790.88 142
V4279.38 15478.24 15782.83 15981.10 29365.50 16485.55 19589.82 15171.57 15478.21 13486.12 22060.66 16793.18 15875.64 11175.46 26489.81 190
BH-RMVSNet79.61 14578.44 15183.14 14489.38 11665.93 15584.95 20787.15 21873.56 12678.19 13589.79 12156.67 19793.36 15059.53 24686.74 13490.13 169
v2v48280.23 13579.29 13583.05 14983.62 24164.14 19087.04 15389.97 14773.61 12478.18 13687.22 18661.10 16093.82 12976.11 10776.78 24491.18 134
PVSNet_BlendedMVS80.60 12780.02 11782.36 17388.85 13665.40 16586.16 18092.00 8469.34 19278.11 13786.09 22166.02 10094.27 10671.52 14482.06 18787.39 249
PVSNet_Blended80.98 11380.34 11382.90 15688.85 13665.40 16584.43 22292.00 8467.62 21778.11 13785.05 24566.02 10094.27 10671.52 14489.50 9989.01 211
v114480.03 13979.03 13983.01 15183.78 23964.51 18287.11 15290.57 12971.96 14778.08 13986.20 21961.41 15293.94 12274.93 11677.23 23490.60 152
TranMVSNet+NR-MVSNet80.84 11680.31 11482.42 17187.85 16962.33 22387.74 13791.33 11080.55 1177.99 14089.86 11965.23 10792.62 17667.05 18775.24 27192.30 105
Baseline_NR-MVSNet78.15 18178.33 15577.61 26085.79 20756.21 29786.78 16385.76 23573.60 12577.93 14187.57 17665.02 10988.99 25867.14 18675.33 26887.63 244
TR-MVS77.44 19776.18 20181.20 19688.24 15863.24 21084.61 21686.40 22767.55 21877.81 14286.48 21354.10 21393.15 15957.75 26482.72 18187.20 255
v119279.59 14678.43 15283.07 14883.55 24364.52 18186.93 15790.58 12870.83 16277.78 14385.90 22359.15 17793.94 12273.96 12377.19 23690.76 145
PCF-MVS73.52 780.38 13278.84 14385.01 8287.71 17568.99 9983.65 23691.46 10863.00 26677.77 14490.28 11066.10 9795.09 8161.40 23288.22 11690.94 141
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
WR-MVS79.49 14879.22 13780.27 21588.79 14258.35 26285.06 20488.61 19278.56 2977.65 14588.34 15963.81 11790.66 23464.98 20477.22 23591.80 121
XVG-OURS80.41 13179.23 13683.97 12085.64 21069.02 9783.03 24890.39 13371.09 16077.63 14691.49 8654.62 21091.35 21675.71 11083.47 17091.54 124
v14419279.47 14978.37 15382.78 16583.35 24563.96 19386.96 15590.36 13769.99 17877.50 14785.67 23060.66 16793.77 13474.27 12076.58 24590.62 150
v192192079.22 15678.03 16082.80 16283.30 24763.94 19486.80 16190.33 13869.91 18077.48 14885.53 23358.44 18193.75 13673.60 12576.85 24190.71 148
thisisatest053079.40 15277.76 17084.31 10587.69 17765.10 17587.36 14584.26 24970.04 17777.42 14988.26 16349.94 25794.79 9470.20 15684.70 15593.03 84
FC-MVSNet-test81.52 10582.02 9180.03 21888.42 15455.97 29987.95 13193.42 3077.10 5277.38 15090.98 10269.96 6491.79 20468.46 17384.50 15692.33 103
v124078.99 16277.78 16882.64 16883.21 24963.54 20286.62 16890.30 14069.74 18677.33 15185.68 22957.04 19593.76 13573.13 13476.92 23890.62 150
PAPM_NR83.02 8482.41 8484.82 8992.47 6566.37 14987.93 13391.80 9473.82 12177.32 15290.66 10567.90 8194.90 8870.37 15589.48 10093.19 79
ACMM73.20 880.78 12479.84 12183.58 12789.31 12268.37 11689.99 6991.60 10170.28 17477.25 15389.66 12353.37 21993.53 14574.24 12182.85 17888.85 219
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
HQP4-MVS77.24 15495.11 7791.03 137
HQP-NCC89.33 11789.17 8676.41 6977.23 155
ACMP_Plane89.33 11789.17 8676.41 6977.23 155
HQP-MVS82.61 8982.02 9184.37 10189.33 11766.98 14089.17 8692.19 7676.41 6977.23 15590.23 11260.17 17495.11 7777.47 9485.99 14591.03 137
TAPA-MVS73.13 979.15 15777.94 16282.79 16489.59 10762.99 21888.16 12791.51 10465.77 23877.14 15891.09 9560.91 16393.21 15450.26 29687.05 12992.17 111
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
PAPR81.66 10380.89 10583.99 11990.27 9364.00 19286.76 16591.77 9868.84 20777.13 15989.50 12867.63 8394.88 9067.55 17988.52 11293.09 81
UniMVSNet_ETH3D79.10 15978.24 15781.70 18386.85 19560.24 24987.28 14888.79 18574.25 11276.84 16090.53 10849.48 26291.56 21067.98 17582.15 18693.29 73
EPNet83.72 7282.92 7986.14 6384.22 23169.48 9091.05 4685.27 23881.30 776.83 16191.65 7966.09 9895.56 5976.00 10993.85 5893.38 69
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
baseline176.98 20476.75 19377.66 25888.13 16055.66 30385.12 20381.89 27973.04 13476.79 16288.90 14362.43 13787.78 27663.30 21471.18 30089.55 198
tttt051779.40 15277.91 16383.90 12388.10 16263.84 19588.37 11884.05 25171.45 15676.78 16389.12 13949.93 25994.89 8970.18 15783.18 17492.96 88
TAMVS78.89 16577.51 17683.03 15087.80 17167.79 12884.72 21185.05 24167.63 21676.75 16487.70 17262.25 14090.82 23058.53 25787.13 12890.49 157
XVG-OURS-SEG-HR80.81 11979.76 12383.96 12185.60 21168.78 10383.54 24190.50 13170.66 16876.71 16591.66 7860.69 16691.26 21876.94 10081.58 19291.83 118
3Dnovator+77.84 485.48 5484.47 6788.51 391.08 8073.49 1493.18 793.78 1980.79 1076.66 16693.37 5160.40 17396.75 2077.20 9793.73 5995.29 2
LPG-MVS_test82.08 9481.27 9984.50 9789.23 12568.76 10490.22 6591.94 8875.37 9176.64 16791.51 8454.29 21194.91 8678.44 8483.78 16389.83 188
LGP-MVS_train84.50 9789.23 12568.76 10491.94 8875.37 9176.64 16791.51 8454.29 21194.91 8678.44 8483.78 16389.83 188
tfpn200view976.42 21375.37 21179.55 23189.13 12957.65 27585.17 20083.60 25673.41 12976.45 16986.39 21552.12 22991.95 19948.33 30483.75 16589.07 204
thres40076.50 21075.37 21179.86 22189.13 12957.65 27585.17 20083.60 25673.41 12976.45 16986.39 21552.12 22991.95 19948.33 30483.75 16590.00 179
HyFIR lowres test77.53 19675.40 20983.94 12289.59 10766.62 14480.36 27088.64 19156.29 31776.45 16985.17 24157.64 18693.28 15261.34 23483.10 17691.91 116
mvs-test180.88 11479.40 13185.29 7385.13 21969.75 8589.28 8388.10 19874.99 9776.44 17286.72 19857.27 19194.26 11073.53 12683.18 17491.87 117
CDS-MVSNet79.07 16077.70 17283.17 14387.60 17868.23 12084.40 22486.20 23067.49 21976.36 17386.54 21161.54 15090.79 23161.86 22887.33 12590.49 157
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
thres100view90076.50 21075.55 20679.33 23289.52 11056.99 28385.83 18983.23 26573.94 11876.32 17487.12 19051.89 23691.95 19948.33 30483.75 16589.07 204
thres600view776.50 21075.44 20779.68 22589.40 11457.16 28085.53 19783.23 26573.79 12276.26 17587.09 19151.89 23691.89 20248.05 30983.72 16890.00 179
UGNet80.83 11879.59 12784.54 9688.04 16468.09 12289.42 8188.16 19676.95 5576.22 17689.46 13249.30 26593.94 12268.48 17290.31 8891.60 122
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022
test_djsdf80.30 13479.32 13483.27 13783.98 23665.37 16890.50 5590.38 13468.55 21176.19 17788.70 14756.44 19893.46 14778.98 8080.14 21190.97 140
v14878.72 16777.80 16781.47 18882.73 26661.96 22986.30 17688.08 20073.26 13176.18 17885.47 23562.46 13692.36 18671.92 14373.82 28490.09 173
WTY-MVS75.65 22475.68 20475.57 27986.40 20256.82 28577.92 29582.40 27465.10 24576.18 17887.72 17163.13 12880.90 31160.31 24081.96 18889.00 213
mvs_anonymous79.42 15179.11 13880.34 21384.45 22857.97 26982.59 25087.62 21067.40 22176.17 18088.56 15468.47 7789.59 24870.65 15386.05 14493.47 67
Anonymous2023121178.97 16377.69 17382.81 16190.54 8964.29 18890.11 6791.51 10465.01 24876.16 18188.13 16850.56 25093.03 16869.68 16377.56 23291.11 136
thisisatest051577.33 20075.38 21083.18 14285.27 21563.80 19682.11 25583.27 26465.06 24675.91 18283.84 25849.54 26194.27 10667.24 18486.19 14291.48 128
CANet_DTU80.61 12679.87 12082.83 15985.60 21163.17 21487.36 14588.65 19076.37 7375.88 18388.44 15753.51 21893.07 16473.30 13189.74 9892.25 107
thres20075.55 22574.47 22178.82 24187.78 17457.85 27283.07 24783.51 25972.44 14075.84 18484.42 25052.08 23191.75 20547.41 31183.64 16986.86 263
CHOSEN 1792x268877.63 19575.69 20383.44 13089.98 10068.58 11478.70 28887.50 21356.38 31675.80 18586.84 19458.67 17991.40 21561.58 23185.75 14890.34 162
AdaColmapbinary80.58 12979.42 13084.06 11393.09 5068.91 10189.36 8288.97 18169.27 19375.70 18689.69 12257.20 19495.77 5463.06 21688.41 11487.50 248
cl_fuxian78.75 16677.91 16381.26 19482.89 26261.56 23484.09 23189.13 17469.97 17975.56 18784.29 25266.36 9592.09 19573.47 12975.48 26390.12 170
miper_ehance_all_eth78.59 17177.76 17081.08 20082.66 26861.56 23483.65 23689.15 17268.87 20675.55 18883.79 26066.49 9392.03 19673.25 13276.39 24989.64 194
miper_enhance_ethall77.87 19076.86 18780.92 20381.65 28261.38 23682.68 24988.98 17965.52 24275.47 18982.30 27765.76 10492.00 19872.95 13576.39 24989.39 200
3Dnovator76.31 583.38 7982.31 8786.59 5587.94 16772.94 2690.64 5192.14 7877.21 4875.47 18992.83 6458.56 18094.72 9673.24 13392.71 6692.13 112
jajsoiax79.29 15577.96 16183.27 13784.68 22566.57 14689.25 8590.16 14369.20 19775.46 19189.49 12945.75 28893.13 16176.84 10280.80 20090.11 171
IterMVS-LS80.06 13879.38 13282.11 17585.89 20663.20 21286.79 16289.34 16374.19 11375.45 19286.72 19866.62 9192.39 18472.58 13876.86 24090.75 146
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
BH-untuned79.47 14978.60 14682.05 17689.19 12765.91 15686.07 18388.52 19372.18 14375.42 19387.69 17361.15 15993.54 14460.38 23986.83 13386.70 267
mvs_tets79.13 15877.77 16983.22 14184.70 22466.37 14989.17 8690.19 14269.38 19175.40 19489.46 13244.17 29493.15 15976.78 10380.70 20290.14 168
HY-MVS69.67 1277.95 18777.15 18180.36 21287.57 18260.21 25083.37 24387.78 20866.11 23375.37 19587.06 19363.27 12190.48 23661.38 23382.43 18490.40 161
GBi-Net78.40 17377.40 17781.40 19087.60 17863.01 21588.39 11589.28 16571.63 15175.34 19687.28 18254.80 20491.11 22162.72 21779.57 21490.09 173
test178.40 17377.40 17781.40 19087.60 17863.01 21588.39 11589.28 16571.63 15175.34 19687.28 18254.80 20491.11 22162.72 21779.57 21490.09 173
FMVSNet377.88 18976.85 18880.97 20286.84 19662.36 22286.52 17188.77 18671.13 15875.34 19686.66 20554.07 21491.10 22462.72 21779.57 21489.45 199
CostFormer75.24 23073.90 22779.27 23382.65 26958.27 26480.80 26582.73 27261.57 28075.33 19983.13 26755.52 20091.07 22764.98 20478.34 22788.45 230
FMVSNet278.20 17977.21 18081.20 19687.60 17862.89 21987.47 14389.02 17771.63 15175.29 20087.28 18254.80 20491.10 22462.38 22179.38 21889.61 195
v879.97 14179.02 14082.80 16284.09 23364.50 18487.96 13090.29 14174.13 11675.24 20186.81 19562.88 13093.89 12874.39 11975.40 26690.00 179
anonymousdsp78.60 17077.15 18182.98 15380.51 29967.08 13887.24 14989.53 15965.66 24075.16 20287.19 18852.52 22192.25 18977.17 9879.34 21989.61 195
QAPM80.88 11479.50 12985.03 8188.01 16668.97 10091.59 3592.00 8466.63 22975.15 20392.16 7057.70 18595.45 6363.52 21088.76 10790.66 149
v1079.74 14478.67 14482.97 15484.06 23464.95 17687.88 13590.62 12773.11 13275.11 20486.56 21061.46 15194.05 11873.68 12475.55 26189.90 185
Vis-MVSNet (Re-imp)78.36 17578.45 15078.07 25388.64 14651.78 31886.70 16679.63 30274.14 11575.11 20490.83 10361.29 15689.75 24558.10 26191.60 7392.69 94
cl-mvsnet278.07 18377.01 18381.23 19582.37 27561.83 23183.55 24087.98 20268.96 20475.06 20683.87 25661.40 15391.88 20373.53 12676.39 24989.98 182
ACMP74.13 681.51 10780.57 10884.36 10289.42 11368.69 11189.97 7091.50 10774.46 10875.04 20790.41 10953.82 21694.54 9877.56 9382.91 17789.86 187
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Effi-MVS+-dtu80.03 13978.57 14884.42 10085.13 21968.74 10688.77 10188.10 19874.99 9774.97 20883.49 26457.27 19193.36 15073.53 12680.88 19891.18 134
XXY-MVS75.41 22875.56 20574.96 28483.59 24257.82 27380.59 26983.87 25466.54 23074.93 20988.31 16063.24 12280.09 31462.16 22476.85 24186.97 261
eth_miper_zixun_eth77.92 18876.69 19481.61 18683.00 25761.98 22883.15 24489.20 17169.52 18974.86 21084.35 25161.76 14692.56 17971.50 14672.89 28990.28 164
GA-MVS76.87 20675.17 21481.97 17982.75 26562.58 22081.44 26486.35 22972.16 14574.74 21182.89 26946.20 28392.02 19768.85 17181.09 19691.30 132
sss73.60 24373.64 23073.51 29482.80 26455.01 30576.12 30181.69 28262.47 27474.68 21285.85 22657.32 19078.11 32160.86 23780.93 19787.39 249
BH-w/o78.21 17877.33 17980.84 20488.81 14065.13 17484.87 20887.85 20769.75 18474.52 21384.74 24861.34 15493.11 16258.24 26085.84 14784.27 296
FMVSNet177.44 19776.12 20281.40 19086.81 19763.01 21588.39 11589.28 16570.49 17174.39 21487.28 18249.06 26891.11 22160.91 23678.52 22390.09 173
cl-mvsnet_77.72 19276.76 19180.58 20882.49 27260.48 24683.09 24587.87 20569.22 19574.38 21585.22 24062.10 14391.53 21171.09 14875.41 26589.73 193
cl-mvsnet177.72 19276.76 19180.58 20882.48 27360.48 24683.09 24587.86 20669.22 19574.38 21585.24 23962.10 14391.53 21171.09 14875.40 26689.74 192
114514_t80.68 12579.51 12884.20 10894.09 3267.27 13689.64 7991.11 11758.75 30374.08 21790.72 10458.10 18295.04 8269.70 16289.42 10190.30 163
WR-MVS_H78.51 17278.49 14978.56 24588.02 16556.38 29488.43 11192.67 5977.14 5073.89 21887.55 17766.25 9689.24 25458.92 25273.55 28690.06 177
tpm273.26 24771.46 24978.63 24383.34 24656.71 28880.65 26880.40 29556.63 31573.55 21982.02 28151.80 23891.24 21956.35 27378.42 22687.95 237
CP-MVSNet78.22 17778.34 15477.84 25587.83 17054.54 30787.94 13291.17 11577.65 3573.48 22088.49 15562.24 14188.43 26862.19 22374.07 27990.55 155
pm-mvs177.25 20176.68 19578.93 23984.22 23158.62 26186.41 17288.36 19571.37 15773.31 22188.01 16961.22 15889.15 25664.24 20873.01 28889.03 210
PS-CasMVS78.01 18678.09 15977.77 25787.71 17554.39 30988.02 12891.22 11277.50 4373.26 22288.64 15060.73 16488.41 26961.88 22773.88 28390.53 156
CVMVSNet72.99 25172.58 24074.25 29184.28 22950.85 32486.41 17283.45 26244.56 33273.23 22387.54 17849.38 26385.70 29065.90 19578.44 22586.19 274
PEN-MVS77.73 19177.69 17377.84 25587.07 19353.91 31187.91 13491.18 11477.56 4073.14 22488.82 14661.23 15789.17 25559.95 24272.37 29190.43 159
1112_ss77.40 19976.43 19880.32 21489.11 13360.41 24883.65 23687.72 20962.13 27773.05 22586.72 19862.58 13489.97 24262.11 22680.80 20090.59 154
tpm72.37 25771.71 24874.35 29082.19 27752.00 31679.22 28277.29 31464.56 25272.95 22683.68 26351.35 24183.26 30458.33 25975.80 25787.81 241
cascas76.72 20874.64 21782.99 15285.78 20865.88 15782.33 25389.21 17060.85 28572.74 22781.02 28847.28 27593.75 13667.48 18085.02 15089.34 201
CR-MVSNet73.37 24471.27 25279.67 22681.32 29165.19 17275.92 30380.30 29659.92 29272.73 22881.19 28452.50 22286.69 28259.84 24377.71 22987.11 259
RPMNet71.62 25968.94 26779.67 22681.32 29165.19 17275.92 30378.30 30857.60 30972.73 22876.45 31952.30 22686.69 28248.14 30877.71 22987.11 259
DTE-MVSNet76.99 20376.80 18977.54 26286.24 20353.06 31587.52 14190.66 12677.08 5372.50 23088.67 14960.48 17089.52 24957.33 26870.74 30290.05 178
Test_1112_low_res76.40 21475.44 20779.27 23389.28 12358.09 26581.69 25987.07 21959.53 29672.48 23186.67 20461.30 15589.33 25260.81 23880.15 21090.41 160
v7n78.97 16377.58 17583.14 14483.45 24465.51 16388.32 11991.21 11373.69 12372.41 23286.32 21757.93 18393.81 13069.18 16775.65 25990.11 171
SCA74.22 23772.33 24379.91 22084.05 23562.17 22679.96 27579.29 30466.30 23272.38 23380.13 29651.95 23488.60 26659.25 24877.67 23188.96 215
CNLPA78.08 18276.79 19081.97 17990.40 9271.07 6187.59 14084.55 24566.03 23672.38 23389.64 12457.56 18786.04 28859.61 24583.35 17188.79 222
NR-MVSNet80.23 13579.38 13282.78 16587.80 17163.34 20886.31 17591.09 11879.01 2672.17 23589.07 14067.20 8892.81 17566.08 19475.65 25992.20 109
OpenMVScopyleft72.83 1079.77 14378.33 15584.09 11285.17 21669.91 8190.57 5390.97 11966.70 22572.17 23591.91 7454.70 20893.96 11961.81 22990.95 8288.41 232
MVS78.19 18076.99 18581.78 18185.66 20966.99 13984.66 21290.47 13255.08 32172.02 23785.27 23863.83 11694.11 11766.10 19389.80 9784.24 297
XVG-ACMP-BASELINE76.11 21874.27 22481.62 18483.20 25064.67 18083.60 23989.75 15469.75 18471.85 23887.09 19132.78 33192.11 19469.99 16080.43 20788.09 236
PatchmatchNetpermissive73.12 24971.33 25178.49 24883.18 25160.85 24179.63 27778.57 30664.13 25771.73 23979.81 30151.20 24385.97 28957.40 26776.36 25288.66 225
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpmrst72.39 25572.13 24473.18 29680.54 29849.91 32779.91 27679.08 30563.11 26471.69 24079.95 29855.32 20182.77 30665.66 19873.89 28286.87 262
PatchFormer-LS_test74.50 23373.05 23778.86 24082.95 26059.55 25681.65 26082.30 27567.44 22071.62 24178.15 31052.34 22588.92 26365.05 20375.90 25688.12 235
TransMVSNet (Re)75.39 22974.56 21977.86 25485.50 21357.10 28286.78 16386.09 23372.17 14471.53 24287.34 18163.01 12989.31 25356.84 27161.83 32287.17 256
Fast-Effi-MVS+-dtu78.02 18576.49 19782.62 16983.16 25366.96 14286.94 15687.45 21572.45 13871.49 24384.17 25354.79 20791.58 20967.61 17880.31 20889.30 202
PAPM77.68 19476.40 19981.51 18787.29 18961.85 23083.78 23489.59 15764.74 25071.23 24488.70 14762.59 13393.66 13952.66 28687.03 13089.01 211
tfpnnormal74.39 23473.16 23578.08 25286.10 20558.05 26684.65 21587.53 21270.32 17371.22 24585.63 23154.97 20389.86 24343.03 32575.02 27286.32 271
RPSCF73.23 24871.46 24978.54 24682.50 27159.85 25182.18 25482.84 27158.96 30071.15 24689.41 13645.48 29084.77 29658.82 25471.83 29691.02 139
DWT-MVSNet_test73.70 24271.86 24679.21 23582.91 26158.94 25882.34 25282.17 27665.21 24371.05 24778.31 30744.21 29390.17 24063.29 21577.28 23388.53 229
DI_MVS_plusplus_test79.89 14278.58 14783.85 12482.89 26265.32 16986.12 18189.55 15869.64 18770.55 24885.82 22757.24 19393.81 13076.85 10188.55 11092.41 102
PatchT68.46 28367.85 27870.29 30780.70 29643.93 33672.47 31674.88 32160.15 29070.55 24876.57 31849.94 25781.59 30950.58 29274.83 27485.34 285
IterMVS-SCA-FT75.43 22773.87 22880.11 21782.69 26764.85 17781.57 26283.47 26169.16 19870.49 25084.15 25451.95 23488.15 27169.23 16672.14 29487.34 251
miper_lstm_enhance74.11 23873.11 23677.13 26880.11 30259.62 25372.23 31786.92 22166.76 22470.40 25182.92 26856.93 19682.92 30569.06 16972.63 29088.87 218
gg-mvs-nofinetune69.95 27467.96 27675.94 27583.07 25454.51 30877.23 29870.29 33163.11 26470.32 25262.33 33343.62 29688.69 26553.88 28187.76 11884.62 295
DP-MVS76.78 20774.57 21883.42 13193.29 4369.46 9388.55 11083.70 25563.98 26070.20 25388.89 14454.01 21594.80 9346.66 31381.88 19086.01 279
pmmvs674.69 23273.39 23178.61 24481.38 28857.48 27886.64 16787.95 20364.99 24970.18 25486.61 20650.43 25289.52 24962.12 22570.18 30488.83 220
PVSNet64.34 1872.08 25870.87 25775.69 27786.21 20456.44 29274.37 31380.73 28962.06 27870.17 25582.23 27942.86 30083.31 30354.77 27884.45 15887.32 252
131476.53 20975.30 21380.21 21683.93 23762.32 22484.66 21288.81 18460.23 28970.16 25684.07 25555.30 20290.73 23367.37 18183.21 17387.59 246
Patchmtry70.74 26569.16 26575.49 28180.72 29554.07 31074.94 31280.30 29658.34 30470.01 25781.19 28452.50 22286.54 28453.37 28371.09 30185.87 282
EPMVS69.02 27968.16 27371.59 29979.61 31049.80 32977.40 29766.93 33862.82 27070.01 25779.05 30345.79 28677.86 32356.58 27275.26 27087.13 258
IterMVS74.29 23572.94 23878.35 24981.53 28563.49 20481.58 26182.49 27368.06 21569.99 25983.69 26251.66 24085.54 29165.85 19671.64 29786.01 279
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
test-LLR72.94 25272.43 24174.48 28881.35 28958.04 26778.38 28977.46 31266.66 22669.95 26079.00 30548.06 27179.24 31566.13 19184.83 15286.15 275
test-mter71.41 26170.39 26074.48 28881.35 28958.04 26778.38 28977.46 31260.32 28869.95 26079.00 30536.08 32779.24 31566.13 19184.83 15286.15 275
pmmvs474.03 24071.91 24580.39 21181.96 27968.32 11781.45 26382.14 27759.32 29769.87 26285.13 24252.40 22488.13 27260.21 24174.74 27584.73 293
PLCcopyleft70.83 1178.05 18476.37 20083.08 14791.88 7367.80 12788.19 12589.46 16164.33 25669.87 26288.38 15853.66 21793.58 14058.86 25382.73 18087.86 240
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
LTVRE_ROB69.57 1376.25 21674.54 22081.41 18988.60 14764.38 18779.24 28189.12 17570.76 16669.79 26487.86 17049.09 26793.20 15656.21 27480.16 20986.65 268
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
LS3D76.95 20574.82 21683.37 13490.45 9067.36 13589.15 9086.94 22061.87 27969.52 26590.61 10651.71 23994.53 9946.38 31686.71 13588.21 234
IB-MVS68.01 1575.85 22173.36 23283.31 13584.76 22366.03 15283.38 24285.06 24070.21 17669.40 26681.05 28745.76 28794.66 9765.10 20275.49 26289.25 203
Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021
PatchMatch-RL72.38 25670.90 25576.80 27188.60 14767.38 13479.53 27876.17 31862.75 27169.36 26782.00 28245.51 28984.89 29553.62 28280.58 20378.12 327
MDTV_nov1_ep1369.97 26283.18 25153.48 31377.10 29980.18 29960.45 28669.33 26880.44 29348.89 26986.90 28151.60 28978.51 224
D2MVS74.82 23173.21 23479.64 22879.81 30662.56 22180.34 27187.35 21664.37 25568.86 26982.66 27346.37 28090.10 24167.91 17681.24 19586.25 272
PMMVS69.34 27768.67 26871.35 30375.67 32662.03 22775.17 30773.46 32650.00 33068.68 27079.05 30352.07 23278.13 32061.16 23582.77 17973.90 331
Patchmatch-RL test70.24 27167.78 28177.61 26077.43 31959.57 25571.16 31970.33 33062.94 26868.65 27172.77 32650.62 24985.49 29269.58 16466.58 31587.77 242
MS-PatchMatch73.83 24172.67 23977.30 26583.87 23866.02 15381.82 25684.66 24361.37 28368.61 27282.82 27147.29 27488.21 27059.27 24784.32 15977.68 328
tpm cat170.57 26768.31 27177.35 26482.41 27457.95 27078.08 29380.22 29852.04 32768.54 27377.66 31452.00 23387.84 27551.77 28772.07 29586.25 272
TESTMET0.1,169.89 27569.00 26672.55 29779.27 31456.85 28478.38 28974.71 32457.64 30868.09 27477.19 31637.75 32276.70 32663.92 20984.09 16184.10 300
MIMVSNet70.69 26669.30 26374.88 28584.52 22656.35 29575.87 30579.42 30364.59 25167.76 27582.41 27541.10 30981.54 31046.64 31581.34 19386.75 266
ACMH+68.96 1476.01 21974.01 22582.03 17788.60 14765.31 17088.86 9787.55 21170.25 17567.75 27687.47 18041.27 30893.19 15758.37 25875.94 25587.60 245
LCM-MVSNet-Re77.05 20276.94 18677.36 26387.20 19051.60 31980.06 27380.46 29475.20 9567.69 27786.72 19862.48 13588.98 25963.44 21289.25 10291.51 125
ITE_SJBPF78.22 25081.77 28160.57 24483.30 26369.25 19467.54 27887.20 18736.33 32687.28 28054.34 27974.62 27686.80 264
pmmvs571.55 26070.20 26175.61 27877.83 31756.39 29381.74 25880.89 28657.76 30767.46 27984.49 24949.26 26685.32 29457.08 27075.29 26985.11 289
MVP-Stereo76.12 21774.46 22281.13 19985.37 21469.79 8384.42 22387.95 20365.03 24767.46 27985.33 23753.28 22091.73 20758.01 26283.27 17281.85 316
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
test_040272.79 25370.44 25879.84 22288.13 16065.99 15485.93 18684.29 24765.57 24167.40 28185.49 23446.92 27792.61 17735.88 33474.38 27880.94 319
GG-mvs-BLEND75.38 28281.59 28455.80 30079.32 28069.63 33367.19 28273.67 32543.24 29788.90 26450.41 29384.50 15681.45 318
tpmvs71.09 26369.29 26476.49 27282.04 27856.04 29878.92 28681.37 28564.05 25867.18 28378.28 30849.74 26089.77 24449.67 29972.37 29183.67 302
OurMVSNet-221017-074.26 23672.42 24279.80 22383.76 24059.59 25485.92 18786.64 22366.39 23166.96 28487.58 17539.46 31591.60 20865.76 19769.27 30688.22 233
baseline275.70 22373.83 22981.30 19383.26 24861.79 23282.57 25180.65 29066.81 22366.88 28583.42 26557.86 18492.19 19263.47 21179.57 21489.91 184
MVS_030472.48 25470.89 25677.24 26682.20 27659.68 25284.11 22983.49 26067.10 22266.87 28680.59 29235.00 33087.40 27859.07 25179.58 21384.63 294
F-COLMAP76.38 21574.33 22382.50 17089.28 12366.95 14388.41 11489.03 17664.05 25866.83 28788.61 15146.78 27892.89 17057.48 26578.55 22287.67 243
ACMH67.68 1675.89 22073.93 22681.77 18288.71 14566.61 14588.62 10789.01 17869.81 18166.78 28886.70 20341.95 30791.51 21355.64 27578.14 22887.17 256
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
test0.0.03 168.00 28467.69 28268.90 31277.55 31847.43 33175.70 30672.95 32866.66 22666.56 28982.29 27848.06 27175.87 33044.97 32274.51 27783.41 304
MDTV_nov1_ep13_2view37.79 34175.16 30855.10 32066.53 29049.34 26453.98 28087.94 238
ET-MVSNet_ETH3D78.63 16976.63 19684.64 9486.73 19969.47 9185.01 20584.61 24469.54 18866.51 29186.59 20750.16 25491.75 20576.26 10684.24 16092.69 94
EU-MVSNet68.53 28267.61 28371.31 30478.51 31647.01 33384.47 21884.27 24842.27 33366.44 29284.79 24740.44 31383.76 29958.76 25568.54 31183.17 306
EPNet_dtu75.46 22674.86 21577.23 26782.57 27054.60 30686.89 15883.09 26871.64 15066.25 29385.86 22555.99 19988.04 27354.92 27786.55 13789.05 209
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
Anonymous2023120668.60 28067.80 28071.02 30580.23 30150.75 32578.30 29280.47 29356.79 31466.11 29482.63 27446.35 28178.95 31743.62 32475.70 25883.36 305
SixPastTwentyTwo73.37 24471.26 25379.70 22485.08 22157.89 27185.57 19183.56 25871.03 16165.66 29585.88 22442.10 30592.57 17859.11 25063.34 32188.65 226
MSDG73.36 24670.99 25480.49 21084.51 22765.80 15880.71 26786.13 23265.70 23965.46 29683.74 26144.60 29190.91 22951.13 29176.89 23984.74 292
OpenMVS_ROBcopyleft64.09 1970.56 26868.19 27277.65 25980.26 30059.41 25785.01 20582.96 27058.76 30265.43 29782.33 27637.63 32391.23 22045.34 32176.03 25482.32 313
ppachtmachnet_test70.04 27367.34 28478.14 25179.80 30761.13 23779.19 28380.59 29159.16 29965.27 29879.29 30246.75 27987.29 27949.33 30066.72 31386.00 281
ADS-MVSNet266.20 29663.33 29774.82 28679.92 30458.75 26067.55 33075.19 32053.37 32465.25 29975.86 32042.32 30380.53 31341.57 32868.91 30885.18 286
ADS-MVSNet64.36 30062.88 30168.78 31479.92 30447.17 33267.55 33071.18 32953.37 32465.25 29975.86 32042.32 30373.99 33741.57 32868.91 30885.18 286
testgi66.67 29266.53 28867.08 31775.62 32741.69 33975.93 30276.50 31766.11 23365.20 30186.59 20735.72 32874.71 33443.71 32373.38 28784.84 291
PM-MVS66.41 29464.14 29473.20 29573.92 32956.45 29178.97 28564.96 34263.88 26264.72 30280.24 29519.84 34283.44 30266.24 19064.52 32079.71 324
JIA-IIPM66.32 29562.82 30276.82 27077.09 32261.72 23365.34 33375.38 31958.04 30664.51 30362.32 33442.05 30686.51 28551.45 29069.22 30782.21 314
ambc75.24 28373.16 33350.51 32663.05 33787.47 21464.28 30477.81 31317.80 34389.73 24657.88 26360.64 32585.49 283
EG-PatchMatch MVS74.04 23971.82 24780.71 20784.92 22267.42 13285.86 18888.08 20066.04 23564.22 30583.85 25735.10 32992.56 17957.44 26680.83 19982.16 315
dp66.80 29065.43 29070.90 30679.74 30948.82 33075.12 31074.77 32259.61 29464.08 30677.23 31542.89 29980.72 31248.86 30266.58 31583.16 307
pmmvs-eth3d70.50 26967.83 27978.52 24777.37 32066.18 15181.82 25681.51 28358.90 30163.90 30780.42 29442.69 30186.28 28758.56 25665.30 31883.11 308
COLMAP_ROBcopyleft66.92 1773.01 25070.41 25980.81 20587.13 19265.63 16188.30 12084.19 25062.96 26763.80 30887.69 17338.04 32192.56 17946.66 31374.91 27384.24 297
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
FMVSNet569.50 27667.96 27674.15 29282.97 25955.35 30480.01 27482.12 27862.56 27363.02 30981.53 28336.92 32481.92 30848.42 30374.06 28085.17 288
test20.0367.45 28766.95 28668.94 31175.48 32844.84 33577.50 29677.67 31166.66 22663.01 31083.80 25947.02 27678.40 31942.53 32768.86 31083.58 303
K. test v371.19 26268.51 26979.21 23583.04 25657.78 27484.35 22576.91 31672.90 13762.99 31182.86 27039.27 31691.09 22661.65 23052.66 33488.75 223
our_test_369.14 27867.00 28575.57 27979.80 30758.80 25977.96 29477.81 31059.55 29562.90 31278.25 30947.43 27383.97 29851.71 28867.58 31283.93 301
CHOSEN 280x42066.51 29364.71 29271.90 29881.45 28663.52 20357.98 33868.95 33753.57 32362.59 31376.70 31746.22 28275.29 33355.25 27679.68 21276.88 330
USDC70.33 27068.37 27076.21 27480.60 29756.23 29679.19 28386.49 22560.89 28461.29 31485.47 23531.78 33589.47 25153.37 28376.21 25382.94 312
lessismore_v078.97 23881.01 29457.15 28165.99 33961.16 31582.82 27139.12 31791.34 21759.67 24446.92 33788.43 231
UnsupCasMVSNet_eth67.33 28865.99 28971.37 30173.48 33151.47 32175.16 30885.19 23965.20 24460.78 31680.93 29142.35 30277.20 32557.12 26953.69 33385.44 284
testing_275.73 22273.34 23382.89 15877.37 32065.22 17184.10 23090.54 13069.09 19960.46 31781.15 28640.48 31292.84 17476.36 10580.54 20690.60 152
AllTest70.96 26468.09 27579.58 22985.15 21763.62 19884.58 21779.83 30062.31 27560.32 31886.73 19632.02 33388.96 26150.28 29471.57 29886.15 275
TestCases79.58 22985.15 21763.62 19879.83 30062.31 27560.32 31886.73 19632.02 33388.96 26150.28 29471.57 29886.15 275
Patchmatch-test64.82 29963.24 29869.57 30979.42 31249.82 32863.49 33669.05 33651.98 32859.95 32080.13 29650.91 24570.98 33940.66 33073.57 28587.90 239
MIMVSNet168.58 28166.78 28773.98 29380.07 30351.82 31780.77 26684.37 24664.40 25459.75 32182.16 28036.47 32583.63 30142.73 32670.33 30386.48 270
LF4IMVS64.02 30162.19 30369.50 31070.90 33753.29 31476.13 30077.18 31552.65 32658.59 32280.98 28923.55 33976.52 32753.06 28566.66 31478.68 326
PVSNet_057.27 2061.67 30459.27 30668.85 31379.61 31057.44 27968.01 32973.44 32755.93 31858.54 32370.41 32944.58 29277.55 32447.01 31235.91 33871.55 333
TDRefinement67.49 28564.34 29376.92 26973.47 33261.07 23884.86 20982.98 26959.77 29358.30 32485.13 24226.06 33787.89 27447.92 31060.59 32681.81 317
UnsupCasMVSNet_bld63.70 30261.53 30570.21 30873.69 33051.39 32272.82 31581.89 27955.63 31957.81 32571.80 32838.67 31878.61 31849.26 30152.21 33580.63 320
DSMNet-mixed57.77 30756.90 30860.38 32167.70 33935.61 34269.18 32553.97 34532.30 34257.49 32679.88 29940.39 31468.57 34138.78 33272.37 29176.97 329
N_pmnet52.79 31053.26 31051.40 32678.99 3157.68 35269.52 3233.89 35351.63 32957.01 32774.98 32340.83 31165.96 34237.78 33364.67 31980.56 322
new-patchmatchnet61.73 30361.73 30461.70 32072.74 33624.50 34969.16 32678.03 30961.40 28156.72 32875.53 32238.42 31976.48 32845.95 31857.67 32884.13 299
CMPMVSbinary51.72 2170.19 27268.16 27376.28 27373.15 33457.55 27779.47 27983.92 25248.02 33156.48 32984.81 24643.13 29886.42 28662.67 22081.81 19184.89 290
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011