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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort bysort bysort bysort bysort by
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
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
test072695.27 371.25 5793.60 494.11 777.33 4592.81 295.79 380.98 5
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_241102_TWO94.06 1277.24 4792.78 395.72 681.26 497.44 289.07 696.58 294.26 28
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
test_241102_ONE95.30 270.98 6294.06 1277.17 4993.10 195.39 882.99 197.27 6
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
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
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
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
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.
9.1488.26 1492.84 5591.52 3894.75 173.93 11988.57 1894.67 1675.57 1895.79 5386.77 1895.76 21
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
test_893.13 4772.57 3388.68 10691.84 9368.69 20984.87 5093.10 5674.43 2595.16 75
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
旧先验191.96 7065.79 15986.37 22893.08 6069.31 7292.74 6588.74 224
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
test22291.50 7668.26 11984.16 22783.20 26754.63 32279.74 11191.63 8158.97 17891.42 7686.77 265
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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_prior491.00 100
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
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
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
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
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
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
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
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
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
NP-MVS89.62 10668.32 11790.24 111
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
cdsmvs_eth3d_5k19.96 31926.61 3200.00 3360.00 3540.00 3550.00 34789.26 1680.00 3510.00 35288.61 15161.62 1490.00 3530.00 3490.00 3490.00 348
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
ab-mvs-re7.23 3229.64 3240.00 3360.00 3540.00 3550.00 3470.00 3570.00 3510.00 35286.72 1980.00 3570.00 3530.00 3490.00 3490.00 348
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
TinyColmap67.30 28964.81 29174.76 28781.92 28056.68 28980.29 27281.49 28460.33 28756.27 33083.22 26624.77 33887.66 27745.52 31969.47 30579.95 323
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
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
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
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
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
lessismore_v078.97 23881.01 29457.15 28165.99 33961.16 31582.82 27139.12 31791.34 21759.67 24446.92 33788.43 231
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
gm-plane-assit81.40 28753.83 31262.72 27280.94 29092.39 18463.40 213
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
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
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
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
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
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
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
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
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
MDA-MVSNet-bldmvs66.68 29163.66 29575.75 27679.28 31360.56 24573.92 31478.35 30764.43 25350.13 33579.87 30044.02 29583.67 30046.10 31756.86 32983.03 310
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.
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
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
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
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
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
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
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
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
MDA-MVSNet_test_wron65.03 29762.92 29971.37 30175.93 32456.73 28669.09 32874.73 32357.28 31254.03 33277.89 31145.88 28474.39 33649.89 29861.55 32382.99 311
YYNet165.03 29762.91 30071.38 30075.85 32556.60 29069.12 32774.66 32557.28 31254.12 33177.87 31245.85 28574.48 33549.95 29761.52 32483.05 309
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
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
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
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
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
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
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
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
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
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
patchmatchnet-post74.00 32451.12 24488.60 266
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
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
FPMVS53.68 30951.64 31159.81 32265.08 34051.03 32369.48 32469.58 33441.46 33440.67 33872.32 32716.46 34570.00 34024.24 33965.42 31758.40 337
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
PVSNet_057.27 2061.67 30459.27 30668.85 31379.61 31057.44 279