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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort bysort bysort by
SteuartSystems-ACMMP88.72 488.86 488.32 492.14 5072.96 1893.73 393.67 680.19 1288.10 794.80 373.76 1997.11 187.51 695.82 794.90 4
Skip Steuart: Steuart Systems R&D Blog.
DeepC-MVS79.81 287.08 2286.88 2287.69 2291.16 6072.32 3390.31 4493.94 377.12 4182.82 5794.23 1772.13 3097.09 284.83 1895.37 1593.65 38
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
APDe-MVS89.15 189.63 187.73 1894.49 871.69 3893.83 293.96 275.70 6891.06 196.03 176.84 297.03 389.09 195.65 1294.47 10
NCCC88.06 688.01 988.24 594.41 1273.62 791.22 2992.83 3281.50 585.79 1993.47 3173.02 2397.00 484.90 1594.94 2394.10 18
CNVR-MVS88.93 389.13 388.33 394.77 273.82 690.51 3893.00 2380.90 888.06 894.06 2276.43 396.84 588.48 295.99 394.34 13
HPM-MVS++89.02 289.15 288.63 195.01 176.03 192.38 1392.85 3180.26 1187.78 1094.27 1575.89 696.81 687.45 796.44 193.05 58
DeepC-MVS_fast79.65 386.91 2386.62 2487.76 1793.52 2672.37 3291.26 2693.04 2076.62 5484.22 4193.36 3371.44 3396.76 780.82 4795.33 1894.16 16
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
3Dnovator+77.84 485.48 4084.47 4888.51 291.08 6173.49 1393.18 493.78 580.79 976.66 13993.37 3260.40 15796.75 877.20 7493.73 4295.29 1
region2R87.42 1587.20 1688.09 694.63 473.55 993.03 793.12 1976.73 5284.45 3694.52 669.09 5196.70 984.37 2394.83 2794.03 22
ACMMP_Plus88.05 888.08 887.94 1093.70 2273.05 1790.86 3293.59 776.27 6288.14 695.09 271.06 3596.67 1087.67 496.37 294.09 19
ACMMPR87.44 1387.23 1588.08 794.64 373.59 893.04 593.20 1676.78 4984.66 3394.52 668.81 5396.65 1184.53 2094.90 2494.00 25
PGM-MVS86.68 2586.27 2887.90 1494.22 1673.38 1490.22 4793.04 2075.53 7083.86 4494.42 1367.87 5996.64 1282.70 3794.57 3193.66 33
HFP-MVS87.58 1187.47 1287.94 1094.58 573.54 1193.04 593.24 1476.78 4984.91 2794.44 1170.78 3696.61 1384.53 2094.89 2593.66 33
#test#87.33 1787.13 1787.94 1094.58 573.54 1192.34 1493.24 1475.23 7684.91 2794.44 1170.78 3696.61 1383.75 2794.89 2593.66 33
XVS87.18 1986.91 2188.00 894.42 1073.33 1592.78 892.99 2579.14 1883.67 4894.17 1867.45 6296.60 1583.06 3294.50 3294.07 20
X-MVStestdata80.37 11177.83 14588.00 894.42 1073.33 1592.78 892.99 2579.14 1883.67 4812.47 32067.45 6296.60 1583.06 3294.50 3294.07 20
DeepPCF-MVS80.84 188.10 588.56 586.73 3592.24 4869.03 7489.57 5893.39 1277.53 3689.79 394.12 2078.98 196.58 1785.66 1095.72 894.58 7
APD-MVScopyleft87.44 1387.52 1187.19 2794.24 1572.39 3191.86 2192.83 3273.01 11088.58 594.52 673.36 2096.49 1884.26 2495.01 2292.70 65
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
PHI-MVS86.43 2886.17 3187.24 2690.88 6570.96 4492.27 1694.07 172.45 12185.22 2391.90 5569.47 4896.42 1983.28 3095.94 494.35 12
MCST-MVS87.37 1687.25 1487.73 1894.53 772.46 3089.82 5293.82 473.07 10984.86 3292.89 4376.22 496.33 2084.89 1795.13 2194.40 11
ACMMPcopyleft85.89 3685.39 3887.38 2593.59 2572.63 2592.74 1093.18 1876.78 4980.73 7993.82 2664.33 8496.29 2182.67 3890.69 6393.23 50
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
MP-MVScopyleft87.71 1087.64 1087.93 1394.36 1473.88 492.71 1292.65 3777.57 3283.84 4594.40 1472.24 2996.28 2285.65 1195.30 2093.62 40
mPP-MVS86.67 2686.32 2787.72 2094.41 1273.55 992.74 1092.22 4776.87 4782.81 5894.25 1666.44 6996.24 2382.88 3694.28 3893.38 46
MPTG87.53 1287.41 1387.90 1494.18 1874.25 290.23 4692.02 5479.45 1685.88 1694.80 368.07 5596.21 2486.69 895.34 1693.23 50
MTAPA87.23 1887.00 1887.90 1494.18 1874.25 286.58 15392.02 5479.45 1685.88 1694.80 368.07 5596.21 2486.69 895.34 1693.23 50
test1286.80 3492.63 4370.70 5191.79 6882.71 5971.67 3196.16 2694.50 3293.54 43
CDPH-MVS85.76 3785.29 4287.17 2893.49 2771.08 4288.58 8592.42 4268.32 18284.61 3493.48 2972.32 2896.15 2779.00 5695.43 1494.28 15
DP-MVS Recon83.11 6382.09 6986.15 4694.44 970.92 4788.79 7792.20 4870.53 14779.17 8891.03 7564.12 8696.03 2868.39 15290.14 6991.50 96
HPM-MVS87.11 2086.98 1987.50 2493.88 2172.16 3492.19 1793.33 1376.07 6583.81 4693.95 2469.77 4596.01 2985.15 1294.66 2994.32 14
TSAR-MVS + MP.88.02 988.11 787.72 2093.68 2472.13 3591.41 2592.35 4474.62 8388.90 493.85 2575.75 796.00 3087.80 394.63 3095.04 2
CP-MVS87.11 2086.92 2087.68 2394.20 1773.86 593.98 192.82 3476.62 5483.68 4794.46 1067.93 5795.95 3184.20 2594.39 3593.23 50
abl_685.23 4584.95 4586.07 4892.23 4970.48 5390.80 3492.08 5273.51 9985.26 2294.16 1962.75 11095.92 3282.46 4091.30 5891.81 90
AdaColmapbinary80.58 10479.42 10984.06 8793.09 3668.91 7989.36 6088.97 16269.27 16575.70 15189.69 9657.20 17495.77 3363.06 18788.41 9187.50 218
DELS-MVS85.41 4385.30 4185.77 5188.49 11767.93 10185.52 18293.44 1078.70 2583.63 5089.03 11374.57 1095.71 3480.26 5294.04 4093.66 33
Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023
Regformer-286.63 2786.53 2586.95 3289.33 8871.24 4188.43 8792.05 5382.50 186.88 1390.09 9074.45 1195.61 3584.38 2290.63 6494.01 24
APD-MVS_3200maxsize85.97 3485.88 3386.22 4592.69 4269.53 6891.93 2092.99 2573.54 9885.94 1594.51 965.80 7695.61 3583.04 3492.51 4993.53 44
EPNet83.72 5382.92 5986.14 4784.22 18869.48 6991.05 3185.27 21481.30 676.83 13691.65 5966.09 7295.56 3776.00 8593.85 4193.38 46
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HPM-MVS_fast85.35 4484.95 4586.57 4093.69 2370.58 5292.15 1891.62 7473.89 9282.67 6094.09 2162.60 11795.54 3880.93 4592.93 4493.57 41
test_prior386.73 2486.86 2386.33 4292.61 4469.59 6688.85 7592.97 2875.41 7284.91 2793.54 2774.28 1695.48 3983.31 2895.86 593.91 27
test_prior86.33 4292.61 4469.59 6692.97 2895.48 3993.91 27
原ACMM184.35 7993.01 3768.79 8092.44 3963.96 22381.09 7491.57 6366.06 7395.45 4167.19 15994.82 2888.81 181
QAPM80.88 9179.50 10885.03 6288.01 13168.97 7891.59 2392.00 5766.63 19675.15 16592.16 5057.70 16995.45 4163.52 18388.76 8290.66 119
agg_prior386.16 3385.85 3587.10 3093.31 2872.86 2288.77 7891.68 7368.29 18384.26 4092.83 4572.83 2495.42 4384.97 1395.71 993.02 59
TEST993.26 3172.96 1888.75 7991.89 6368.44 18185.00 2593.10 3774.36 1595.41 44
train_agg86.43 2886.20 2987.13 2993.26 3172.96 1888.75 7991.89 6368.69 17785.00 2593.10 3774.43 1295.41 4484.97 1395.71 993.02 59
HQP_MVS83.64 5483.14 5485.14 5990.08 7468.71 8591.25 2792.44 3979.12 2078.92 9191.00 7660.42 15595.38 4678.71 5986.32 11491.33 99
plane_prior592.44 3995.38 4678.71 5986.32 11491.33 99
TSAR-MVS + GP.85.71 3885.33 3986.84 3391.34 5872.50 2889.07 6987.28 19476.41 5685.80 1890.22 8874.15 1895.37 4881.82 4191.88 5192.65 68
Regformer-485.68 3985.45 3786.35 4188.95 10169.67 6588.29 9691.29 8581.73 485.36 2190.01 9272.62 2695.35 4983.28 3087.57 9694.03 22
UA-Net85.08 4884.96 4485.45 5392.07 5168.07 9989.78 5490.86 9582.48 284.60 3593.20 3569.35 4995.22 5071.39 13490.88 6293.07 57
CSCG86.41 3086.19 3087.07 3192.91 3872.48 2990.81 3393.56 873.95 9183.16 5391.07 7275.94 595.19 5179.94 5494.38 3693.55 42
test_893.13 3372.57 2788.68 8291.84 6668.69 17784.87 3193.10 3774.43 1295.16 52
EPP-MVSNet83.40 5983.02 5784.57 7290.13 7364.47 17092.32 1590.73 9674.45 8579.35 8791.10 7069.05 5295.12 5372.78 11687.22 10394.13 17
HQP4-MVS77.24 13095.11 5491.03 104
HQP-MVS82.61 6982.02 7184.37 7789.33 8866.98 11689.17 6392.19 4976.41 5677.23 13190.23 8760.17 15895.11 5477.47 7185.99 11991.03 104
MG-MVS83.41 5883.45 5183.28 11192.74 4162.28 20788.17 10089.50 13975.22 7781.49 6992.74 4966.75 6695.11 5472.85 11591.58 5492.45 72
API-MVS81.99 7681.23 7984.26 8290.94 6370.18 6091.10 3089.32 14471.51 13578.66 9588.28 13065.26 7895.10 5764.74 17991.23 5987.51 217
PCF-MVS73.52 780.38 11078.84 12485.01 6387.71 14068.99 7783.65 21391.46 8263.00 22877.77 12190.28 8566.10 7195.09 5861.40 20388.22 9390.94 108
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
114514_t80.68 10179.51 10784.20 8394.09 2067.27 11289.64 5791.11 9058.75 26374.08 17490.72 8058.10 16795.04 5969.70 14389.42 7690.30 137
Regformer-186.41 3086.33 2686.64 3789.33 8870.93 4688.43 8791.39 8382.14 386.65 1490.09 9074.39 1495.01 6083.97 2690.63 6493.97 26
agg_prior186.22 3286.09 3286.62 3892.85 3971.94 3688.59 8491.78 6968.96 17484.41 3793.18 3674.94 894.93 6184.75 1995.33 1893.01 61
agg_prior92.85 3971.94 3691.78 6984.41 3794.93 61
LPG-MVS_test82.08 7381.27 7884.50 7489.23 9668.76 8290.22 4791.94 6175.37 7476.64 14091.51 6454.29 19294.91 6378.44 6183.78 13589.83 156
LGP-MVS_train84.50 7489.23 9668.76 8291.94 6175.37 7476.64 14091.51 6454.29 19294.91 6378.44 6183.78 13589.83 156
PAPM_NR83.02 6482.41 6384.82 6992.47 4766.37 12387.93 10791.80 6773.82 9377.32 12890.66 8167.90 5894.90 6570.37 13889.48 7593.19 54
PAPR81.66 8280.89 8483.99 9390.27 7164.00 18086.76 14991.77 7168.84 17577.13 13589.50 10067.63 6094.88 6667.55 15488.52 8993.09 56
PVSNet_Blended_VisFu82.62 6881.83 7484.96 6490.80 6769.76 6488.74 8191.70 7269.39 16178.96 9088.46 12665.47 7794.87 6774.42 10288.57 8690.24 138
EI-MVSNet-Vis-set84.19 4983.81 4985.31 5588.18 12667.85 10287.66 11189.73 13480.05 1482.95 5489.59 9970.74 3894.82 6880.66 4984.72 12893.28 49
DP-MVS76.78 18674.57 19383.42 10693.29 2969.46 7188.55 8683.70 22763.98 22270.20 21088.89 11454.01 19694.80 6946.66 27781.88 15486.01 245
EI-MVSNet-UG-set83.81 5183.38 5285.09 6187.87 13467.53 10687.44 12289.66 13579.74 1582.23 6289.41 10870.24 4094.74 7079.95 5383.92 13492.99 62
3Dnovator76.31 583.38 6082.31 6786.59 3987.94 13372.94 2190.64 3692.14 5177.21 3975.47 15292.83 4558.56 16494.72 7173.24 11392.71 4792.13 83
IB-MVS68.01 1575.85 19673.36 20483.31 11084.76 17966.03 12683.38 21785.06 21670.21 15269.40 22481.05 25345.76 25194.66 7265.10 17575.49 22389.25 166
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
ACMP74.13 681.51 8680.57 8784.36 7889.42 8668.69 8889.97 5091.50 8174.46 8475.04 16890.41 8453.82 19794.54 7377.56 7082.91 14289.86 155
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
mvs-test182.41 6388.01 13165.80 13288.89 7289.15 15175.14 7980.77 7888.20 13269.61 4694.53 7475.75 8786.14 117
LS3D76.95 18474.82 19183.37 10990.45 6867.36 11189.15 6786.94 19761.87 24169.52 22390.61 8251.71 21294.53 7446.38 28086.71 10988.21 203
MAR-MVS81.84 7880.70 8585.27 5691.32 5971.53 4089.82 5290.92 9369.77 15678.50 9786.21 18762.36 12494.52 7665.36 17392.05 5089.77 159
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
OPM-MVS83.50 5682.95 5885.14 5988.79 10970.95 4589.13 6891.52 7877.55 3580.96 7691.75 5760.71 14994.50 7779.67 5586.51 11289.97 152
Effi-MVS+83.62 5583.08 5585.24 5788.38 12267.45 10788.89 7289.15 15175.50 7182.27 6188.28 13069.61 4694.45 7877.81 6887.84 9493.84 31
CLD-MVS82.31 7181.65 7584.29 8188.47 11867.73 10585.81 17492.35 4475.78 6678.33 10586.58 17764.01 8794.35 7976.05 8487.48 10190.79 111
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
PS-MVSNAJ81.69 8081.02 8383.70 9989.51 8468.21 9784.28 20590.09 12270.79 14281.26 7385.62 19963.15 9894.29 8075.62 9388.87 8088.59 193
IS-MVSNet83.15 6182.81 6084.18 8489.94 7763.30 19191.59 2388.46 17879.04 2279.49 8592.16 5065.10 8094.28 8167.71 15391.86 5294.95 3
PS-MVSNAJss82.07 7481.31 7784.34 8086.51 16267.27 11289.27 6191.51 7971.75 12979.37 8690.22 8863.15 9894.27 8277.69 6982.36 15091.49 97
PVSNet_BlendedMVS80.60 10280.02 9482.36 15088.85 10365.40 14086.16 16492.00 5769.34 16478.11 11486.09 19066.02 7494.27 8271.52 13282.06 15187.39 219
PVSNet_Blended80.98 9080.34 9082.90 13288.85 10365.40 14084.43 20192.00 5767.62 18778.11 11485.05 21166.02 7494.27 8271.52 13289.50 7489.01 174
Vis-MVSNetpermissive83.46 5782.80 6185.43 5490.25 7268.74 8490.30 4590.13 12176.33 6180.87 7792.89 4361.00 14694.20 8572.45 12290.97 6093.35 48
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
xiu_mvs_v2_base81.69 8081.05 8283.60 10189.15 9968.03 10084.46 19990.02 12670.67 14581.30 7286.53 18063.17 9794.19 8675.60 9488.54 8888.57 195
Regformer-385.23 4585.07 4385.70 5288.95 10169.01 7688.29 9689.91 13080.95 785.01 2490.01 9272.45 2794.19 8682.50 3987.57 9693.90 29
MVS_111021_HR85.14 4784.75 4786.32 4491.65 5672.70 2485.98 16890.33 11276.11 6482.08 6391.61 6271.36 3494.17 8881.02 4492.58 4892.08 84
无先验87.48 12088.98 16160.00 25394.12 8967.28 15788.97 177
112180.84 9279.77 9884.05 8893.11 3570.78 4984.66 19285.42 21357.37 27381.76 6892.02 5263.41 9194.12 8967.28 15792.93 4487.26 223
MVS78.19 15476.99 15981.78 15985.66 16966.99 11584.66 19290.47 10555.08 28372.02 19685.27 20663.83 8994.11 9166.10 16789.80 7384.24 261
v1079.74 12578.67 12582.97 13084.06 20364.95 15387.88 10990.62 10073.11 10875.11 16686.56 17861.46 13594.05 9273.68 10875.55 22289.90 153
v780.24 11379.26 11783.15 11684.07 20264.94 15487.56 11790.67 9772.26 12478.28 10686.51 18161.45 13694.03 9375.14 9977.41 19190.49 130
OMC-MVS82.69 6781.97 7384.85 6888.75 11167.42 10887.98 10390.87 9474.92 8079.72 8391.65 5962.19 12893.96 9475.26 9886.42 11393.16 55
OpenMVScopyleft72.83 1079.77 12478.33 13784.09 8685.17 17469.91 6190.57 3790.97 9266.70 19272.17 19291.91 5454.70 18993.96 9461.81 20090.95 6188.41 201
v119279.59 12778.43 13483.07 12183.55 21564.52 16286.93 14190.58 10170.83 14177.78 12085.90 19159.15 16193.94 9673.96 10777.19 19590.76 112
v114480.03 12079.03 12183.01 12483.78 21164.51 16487.11 13690.57 10271.96 12878.08 11686.20 18861.41 13793.94 9674.93 10077.23 19390.60 122
UGNet80.83 9479.59 10384.54 7388.04 12968.09 9889.42 5988.16 18076.95 4576.22 14489.46 10449.30 23393.94 9668.48 15090.31 6691.60 92
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
canonicalmvs85.91 3585.87 3486.04 4989.84 7969.44 7290.45 4293.00 2376.70 5388.01 991.23 6973.28 2193.91 9981.50 4388.80 8194.77 5
VDD-MVS83.01 6582.36 6684.96 6491.02 6266.40 12288.91 7188.11 18177.57 3284.39 3993.29 3452.19 20893.91 9977.05 7788.70 8394.57 8
v879.97 12179.02 12282.80 13984.09 19864.50 16887.96 10490.29 11574.13 9075.24 16386.81 16262.88 10393.89 10174.39 10375.40 22590.00 151
v1neww80.40 10779.54 10482.98 12684.10 19664.51 16487.57 11490.22 11673.25 10278.47 9986.65 17262.83 10693.86 10275.72 8977.02 19790.58 125
v7new80.40 10779.54 10482.98 12684.10 19664.51 16487.57 11490.22 11673.25 10278.47 9986.65 17262.83 10693.86 10275.72 8977.02 19790.58 125
v680.40 10779.54 10482.98 12684.09 19864.50 16887.57 11490.22 11673.25 10278.47 9986.63 17462.84 10593.86 10275.73 8877.02 19790.58 125
v2v48280.23 11479.29 11683.05 12283.62 21364.14 17587.04 13889.97 12773.61 9578.18 11387.22 15561.10 14493.82 10576.11 8376.78 20891.18 103
v7n78.97 14277.58 15183.14 11783.45 21765.51 13888.32 9491.21 8773.69 9472.41 18986.32 18657.93 16893.81 10669.18 14675.65 22090.11 143
DI_MVS_plusplus_test79.89 12278.58 12983.85 9882.89 23265.32 14486.12 16589.55 13769.64 16070.55 20685.82 19557.24 17393.81 10676.85 7988.55 8792.41 74
alignmvs85.48 4085.32 4085.96 5089.51 8469.47 7089.74 5592.47 3876.17 6387.73 1191.46 6770.32 3993.78 10881.51 4288.95 7894.63 6
SD-MVS88.06 688.50 686.71 3692.60 4672.71 2391.81 2293.19 1777.87 2990.32 294.00 2374.83 993.78 10887.63 594.27 3993.65 38
v14419279.47 13178.37 13582.78 14283.35 21863.96 18186.96 14090.36 11069.99 15377.50 12485.67 19760.66 15193.77 11074.27 10476.58 20990.62 120
v124078.99 14177.78 14782.64 14683.21 22263.54 18586.62 15290.30 11469.74 15977.33 12785.68 19657.04 17693.76 11173.13 11476.92 20090.62 120
v192192079.22 13678.03 14182.80 13983.30 22163.94 18286.80 14590.33 11269.91 15477.48 12585.53 20158.44 16593.75 11273.60 11176.85 20390.71 115
v114180.19 11679.31 11382.85 13583.84 20864.12 17787.14 13190.08 12373.13 10578.27 10786.39 18362.67 11593.75 11275.40 9676.83 20590.68 116
divwei89l23v2f11280.19 11679.31 11382.85 13583.84 20864.11 17987.13 13490.08 12373.13 10578.27 10786.39 18362.69 11393.75 11275.40 9676.82 20690.68 116
v180.19 11679.31 11382.85 13583.83 21064.12 17787.14 13190.07 12573.13 10578.27 10786.38 18562.72 11293.75 11275.41 9576.82 20690.68 116
cascas76.72 18774.64 19282.99 12585.78 16865.88 13182.33 22289.21 15060.85 24772.74 18481.02 25447.28 24293.75 11267.48 15585.02 12389.34 165
test_normal79.81 12378.45 13183.89 9782.70 23665.40 14085.82 17389.48 14069.39 16170.12 21485.66 19857.15 17593.71 11777.08 7688.62 8592.56 70
PAPM77.68 16776.40 16781.51 17287.29 15261.85 21183.78 21289.59 13664.74 21371.23 20288.70 11762.59 11893.66 11852.66 25787.03 10689.01 174
Fast-Effi-MVS+80.81 9579.92 9683.47 10488.85 10364.51 16485.53 18189.39 14270.79 14278.49 9885.06 21067.54 6193.58 11967.03 16286.58 11092.32 76
PLCcopyleft70.83 1178.05 15776.37 16883.08 12091.88 5567.80 10388.19 9989.46 14164.33 21869.87 22088.38 12753.66 19893.58 11958.86 22382.73 14587.86 210
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
BH-untuned79.47 13178.60 12782.05 15489.19 9865.91 13086.07 16788.52 17772.18 12575.42 15587.69 14161.15 14393.54 12160.38 21086.83 10786.70 235
ACMM73.20 880.78 10079.84 9783.58 10289.31 9368.37 9289.99 4991.60 7570.28 15077.25 12989.66 9753.37 19993.53 12274.24 10582.85 14388.85 179
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
VDDNet81.52 8480.67 8684.05 8890.44 6964.13 17689.73 5685.91 21071.11 13883.18 5293.48 2950.54 22593.49 12373.40 11288.25 9294.54 9
MVSFormer82.85 6682.05 7085.24 5787.35 14770.21 5590.50 3990.38 10768.55 17981.32 7089.47 10261.68 13193.46 12478.98 5790.26 6792.05 85
test_djsdf80.30 11279.32 11283.27 11283.98 20565.37 14390.50 3990.38 10768.55 17976.19 14588.70 11756.44 17893.46 12478.98 5780.14 17290.97 107
v5277.94 16276.37 16882.67 14479.39 27465.52 13686.43 15689.94 12872.28 12272.15 19484.94 21355.70 18293.44 12673.64 10972.84 24789.06 167
V477.95 16076.37 16882.67 14479.40 27365.52 13686.43 15689.94 12872.28 12272.14 19584.95 21255.72 18193.44 12673.64 10972.86 24689.05 171
LFMVS81.82 7981.23 7983.57 10391.89 5463.43 18989.84 5181.85 24577.04 4483.21 5193.10 3752.26 20793.43 12871.98 12889.95 7293.85 30
BH-RMVSNet79.61 12678.44 13383.14 11789.38 8765.93 12984.95 18887.15 19573.56 9778.19 11289.79 9556.67 17793.36 12959.53 21886.74 10890.13 142
HyFIR lowres test77.53 17175.40 18783.94 9689.59 8266.62 11980.36 23888.64 17556.29 27976.45 14285.17 20757.64 17093.28 13061.34 20583.10 14191.91 87
UniMVSNet (Re)81.60 8381.11 8183.09 11988.38 12264.41 17287.60 11293.02 2278.42 2878.56 9688.16 13369.78 4493.26 13169.58 14476.49 21091.60 92
MVS_Test83.15 6183.06 5683.41 10886.86 15763.21 19486.11 16692.00 5774.31 8682.87 5689.44 10770.03 4193.21 13277.39 7388.50 9093.81 32
TAPA-MVS73.13 979.15 13777.94 14382.79 14189.59 8262.99 20088.16 10191.51 7965.77 20477.14 13491.09 7160.91 14793.21 13250.26 26687.05 10592.17 82
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
LTVRE_ROB69.57 1376.25 19174.54 19581.41 17488.60 11464.38 17379.24 24789.12 15370.76 14469.79 22287.86 13849.09 23593.20 13456.21 24480.16 17086.65 236
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
ACMH+68.96 1476.01 19474.01 19982.03 15588.60 11465.31 14588.86 7487.55 19170.25 15167.75 24287.47 14841.27 27393.19 13558.37 22875.94 21687.60 215
V4279.38 13478.24 13982.83 13881.10 25665.50 13985.55 17989.82 13171.57 13478.21 11186.12 18960.66 15193.18 13675.64 9275.46 22489.81 158
mvs_tets79.13 13877.77 14883.22 11484.70 18066.37 12389.17 6390.19 11969.38 16375.40 15689.46 10444.17 25893.15 13776.78 8180.70 16490.14 141
TR-MVS77.44 17876.18 17481.20 17888.24 12563.24 19384.61 19586.40 20367.55 18877.81 11986.48 18254.10 19493.15 13757.75 23482.72 14687.20 224
jajsoiax79.29 13577.96 14283.27 11284.68 18166.57 12189.25 6290.16 12069.20 16775.46 15389.49 10145.75 25293.13 13976.84 8080.80 16290.11 143
BH-w/o78.21 15277.33 15580.84 18488.81 10765.13 15084.87 18987.85 18769.75 15774.52 17284.74 21661.34 13893.11 14058.24 23085.84 12184.27 260
nrg03083.88 5083.53 5084.96 6486.77 16069.28 7390.46 4192.67 3574.79 8182.95 5491.33 6872.70 2593.09 14180.79 4879.28 17892.50 71
UniMVSNet_NR-MVSNet81.88 7781.54 7682.92 13188.46 11963.46 18787.13 13492.37 4380.19 1278.38 10389.14 11071.66 3293.05 14270.05 13976.46 21192.25 79
DU-MVS81.12 8980.52 8982.90 13287.80 13763.46 18787.02 13991.87 6579.01 2378.38 10389.07 11165.02 8193.05 14270.05 13976.46 21192.20 80
CPTT-MVS83.73 5283.33 5384.92 6793.28 3070.86 4892.09 1990.38 10768.75 17679.57 8492.83 4560.60 15393.04 14480.92 4691.56 5590.86 110
Test477.83 16475.90 18283.62 10080.24 26465.25 14685.27 18490.67 9769.03 17266.48 25583.75 22143.07 26393.00 14575.93 8688.66 8492.62 69
MSLP-MVS++85.43 4285.76 3684.45 7691.93 5370.24 5490.71 3592.86 3077.46 3884.22 4192.81 4867.16 6592.94 14680.36 5094.35 3790.16 140
F-COLMAP76.38 19074.33 19782.50 14789.28 9466.95 11888.41 9089.03 15464.05 22066.83 25188.61 12146.78 24592.89 14757.48 23578.55 18087.67 213
xiu_mvs_v1_base_debu80.80 9779.72 10084.03 9087.35 14770.19 5785.56 17688.77 17169.06 16981.83 6488.16 13350.91 22092.85 14878.29 6587.56 9889.06 167
xiu_mvs_v1_base80.80 9779.72 10084.03 9087.35 14770.19 5785.56 17688.77 17169.06 16981.83 6488.16 13350.91 22092.85 14878.29 6587.56 9889.06 167
xiu_mvs_v1_base_debi80.80 9779.72 10084.03 9087.35 14770.19 5785.56 17688.77 17169.06 16981.83 6488.16 13350.91 22092.85 14878.29 6587.56 9889.06 167
testing_275.73 19773.34 20582.89 13477.37 28265.22 14784.10 20990.54 10369.09 16860.46 27881.15 25240.48 27692.84 15176.36 8280.54 16890.60 122
v74877.97 15976.65 16581.92 15882.29 24163.28 19287.53 11890.35 11173.50 10070.76 20585.55 20058.28 16692.81 15268.81 14972.76 24889.67 161
NR-MVSNet80.23 11479.38 11082.78 14287.80 13763.34 19086.31 16191.09 9179.01 2372.17 19289.07 11167.20 6492.81 15266.08 16875.65 22092.20 80
TranMVSNet+NR-MVSNet80.84 9280.31 9182.42 14887.85 13562.33 20587.74 11091.33 8480.55 1077.99 11789.86 9465.23 7992.62 15467.05 16175.24 22992.30 77
test_040272.79 22370.44 22779.84 19888.13 12765.99 12885.93 17084.29 22265.57 20767.40 24785.49 20246.92 24492.61 15535.88 29974.38 23580.94 283
SixPastTwentyTwo73.37 21371.26 22279.70 20085.08 17757.89 24085.57 17583.56 22871.03 14065.66 25985.88 19242.10 27092.57 15659.11 22163.34 28688.65 186
EG-PatchMatch MVS74.04 20771.82 21580.71 18784.92 17867.42 10885.86 17288.08 18366.04 20264.22 26883.85 21935.10 29492.56 15757.44 23680.83 16182.16 279
COLMAP_ROBcopyleft66.92 1773.01 22070.41 22880.81 18587.13 15465.63 13588.30 9584.19 22462.96 22963.80 27187.69 14138.04 28592.56 15746.66 27774.91 23084.24 261
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
EI-MVSNet80.52 10579.98 9582.12 15284.28 18563.19 19686.41 15888.95 16474.18 8878.69 9387.54 14666.62 6792.43 15972.57 12180.57 16690.74 114
MVSTER79.01 14077.88 14482.38 14983.07 22664.80 15684.08 21088.95 16469.01 17378.69 9387.17 15854.70 18992.43 15974.69 10180.57 16689.89 154
gm-plane-assit81.40 25053.83 27462.72 23480.94 25692.39 16163.40 185
IterMVS-LS80.06 11979.38 11082.11 15385.89 16663.20 19586.79 14689.34 14374.19 8775.45 15486.72 16566.62 6792.39 16172.58 12076.86 20290.75 113
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
v14878.72 14477.80 14681.47 17382.73 23561.96 21086.30 16288.08 18373.26 10176.18 14685.47 20362.46 12392.36 16371.92 13073.82 24190.09 145
FIs82.07 7482.42 6281.04 18288.80 10858.34 23388.26 9893.49 976.93 4678.47 9991.04 7369.92 4392.34 16469.87 14284.97 12492.44 73
新几何183.42 10693.13 3370.71 5085.48 21257.43 27281.80 6791.98 5363.28 9392.27 16564.60 18092.99 4387.27 222
anonymousdsp78.60 14677.15 15782.98 12680.51 26267.08 11487.24 12989.53 13865.66 20675.16 16487.19 15752.52 20192.25 16677.17 7579.34 17789.61 162
lupinMVS81.39 8780.27 9384.76 7087.35 14770.21 5585.55 17986.41 20262.85 23181.32 7088.61 12161.68 13192.24 16778.41 6390.26 6791.83 88
jason81.39 8780.29 9284.70 7186.63 16169.90 6285.95 16986.77 19863.24 22581.07 7589.47 10261.08 14592.15 16878.33 6490.07 7192.05 85
jason: jason.
XVG-ACMP-BASELINE76.11 19374.27 19881.62 16983.20 22364.67 15883.60 21589.75 13369.75 15771.85 19787.09 15932.78 29592.11 16969.99 14180.43 16988.09 205
GA-MVS76.87 18575.17 18981.97 15682.75 23462.58 20381.44 23286.35 20572.16 12774.74 17082.89 22746.20 24792.02 17068.85 14881.09 15991.30 101
v1877.67 16976.35 17281.64 16884.09 19864.47 17087.27 12789.01 15772.59 12069.39 22582.04 23962.85 10491.80 17172.72 11767.20 27188.63 187
FC-MVSNet-test81.52 8482.02 7180.03 19688.42 12155.97 26387.95 10593.42 1177.10 4277.38 12690.98 7869.96 4291.79 17268.46 15184.50 12992.33 75
v1777.68 16776.35 17281.69 16584.15 19364.65 15987.33 12488.99 15972.70 11869.25 22982.07 23862.82 10891.79 17272.69 11967.15 27288.63 187
v1677.69 16676.36 17181.68 16684.15 19364.63 16187.33 12488.99 15972.69 11969.31 22882.08 23762.80 10991.79 17272.70 11867.23 27088.63 187
MVP-Stereo76.12 19274.46 19681.13 18185.37 17369.79 6384.42 20287.95 18565.03 21167.46 24585.33 20553.28 20091.73 17558.01 23283.27 13981.85 280
v1577.51 17476.12 17581.66 16784.09 19864.65 15987.14 13188.96 16372.76 11668.90 23081.91 24662.74 11191.73 17572.32 12366.29 27788.61 190
V1477.52 17276.12 17581.70 16484.15 19364.77 15787.21 13088.95 16472.80 11568.79 23181.94 24562.69 11391.72 17772.31 12466.27 27888.60 191
V977.52 17276.11 17881.73 16384.19 19264.89 15587.26 12888.94 16772.87 11468.65 23481.96 24462.65 11691.72 17772.27 12566.24 27988.60 191
v1177.45 17776.06 18181.59 17184.22 18864.52 16287.11 13689.02 15572.76 11668.76 23281.90 24762.09 12991.71 17971.98 12866.73 27388.56 196
v1277.51 17476.09 17981.76 16284.22 18864.99 15287.30 12688.93 16872.92 11168.48 23881.97 24262.54 12091.70 18072.24 12666.21 28188.58 194
v1377.50 17676.07 18081.77 16084.23 18765.07 15187.34 12388.91 16972.92 11168.35 23981.97 24262.53 12191.69 18172.20 12766.22 28088.56 196
tpmp4_e2373.45 21271.17 22380.31 19383.55 21559.56 22581.88 22482.33 23957.94 26870.51 20881.62 24851.19 21791.63 18253.96 25177.51 19089.75 160
OurMVSNet-221017-074.26 20672.42 21179.80 19983.76 21259.59 22385.92 17186.64 19966.39 19866.96 25087.58 14339.46 27991.60 18365.76 17169.27 26388.22 202
ACMH67.68 1675.89 19573.93 20081.77 16088.71 11266.61 12088.62 8389.01 15769.81 15566.78 25286.70 16941.95 27291.51 18455.64 24578.14 18687.17 225
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
HyFIR77.63 17075.69 18383.44 10589.98 7668.58 9078.70 25387.50 19256.38 27875.80 15086.84 16158.67 16391.40 18561.58 20285.75 12290.34 136
XVG-OURS80.41 10679.23 11883.97 9485.64 17069.02 7583.03 21990.39 10671.09 13977.63 12391.49 6654.62 19191.35 18675.71 9183.47 13791.54 94
lessismore_v078.97 20981.01 25757.15 24665.99 31161.16 27682.82 22939.12 28191.34 18759.67 21546.92 30888.43 200
XVG-OURS-SEG-HR80.81 9579.76 9983.96 9585.60 17168.78 8183.54 21690.50 10470.66 14676.71 13891.66 5860.69 15091.26 18876.94 7881.58 15691.83 88
tpm273.26 21671.46 21778.63 21383.34 21956.71 25280.65 23680.40 25856.63 27773.55 17682.02 24051.80 21191.24 18956.35 24378.42 18487.95 207
OpenMVS_ROBcopyleft64.09 1970.56 23768.19 24177.65 22780.26 26359.41 22785.01 18782.96 23458.76 26265.43 26182.33 23337.63 28891.23 19045.34 28576.03 21582.32 277
diffmvs79.51 12878.59 12882.25 15183.31 22062.66 20284.17 20688.11 18167.64 18576.09 14987.47 14864.01 8791.15 19171.71 13184.82 12792.94 63
GBi-Net78.40 14877.40 15381.40 17587.60 14263.01 19788.39 9189.28 14571.63 13175.34 15887.28 15154.80 18691.11 19262.72 18879.57 17390.09 145
test178.40 14877.40 15381.40 17587.60 14263.01 19788.39 9189.28 14571.63 13175.34 15887.28 15154.80 18691.11 19262.72 18879.57 17390.09 145
FMVSNet177.44 17876.12 17581.40 17586.81 15963.01 19788.39 9189.28 14570.49 14874.39 17387.28 15149.06 23691.11 19260.91 20778.52 18190.09 145
FMVSNet377.88 16376.85 16180.97 18386.84 15862.36 20486.52 15588.77 17171.13 13775.34 15886.66 17154.07 19591.10 19562.72 18879.57 17389.45 164
FMVSNet278.20 15377.21 15681.20 17887.60 14262.89 20187.47 12189.02 15571.63 13175.29 16287.28 15154.80 18691.10 19562.38 19279.38 17689.61 162
K. test v371.19 23168.51 23879.21 20783.04 22857.78 24284.35 20476.91 27872.90 11362.99 27482.86 22839.27 28091.09 19761.65 20152.66 30488.75 183
CostFormer75.24 20273.90 20179.27 20582.65 23758.27 23480.80 23382.73 23661.57 24275.33 16183.13 22655.52 18391.07 19864.98 17778.34 18588.45 199
testdata291.01 19962.37 193
MSDG73.36 21570.99 22480.49 18884.51 18365.80 13280.71 23586.13 20865.70 20565.46 26083.74 22244.60 25590.91 20051.13 26176.89 20184.74 257
TAMVS78.89 14377.51 15283.03 12387.80 13767.79 10484.72 19185.05 21767.63 18676.75 13787.70 14062.25 12690.82 20158.53 22787.13 10490.49 130
CDS-MVSNet79.07 13977.70 14983.17 11587.60 14268.23 9684.40 20386.20 20667.49 18976.36 14386.54 17961.54 13490.79 20261.86 19987.33 10290.49 130
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
131476.53 18875.30 18880.21 19583.93 20662.32 20684.66 19288.81 17060.23 25170.16 21384.07 21855.30 18590.73 20367.37 15683.21 14087.59 216
WR-MVS79.49 13079.22 11980.27 19488.79 10958.35 23285.06 18688.61 17678.56 2677.65 12288.34 12863.81 9090.66 20464.98 17777.22 19491.80 91
MVS_111021_LR82.61 6982.11 6884.11 8588.82 10671.58 3985.15 18586.16 20774.69 8280.47 8091.04 7362.29 12590.55 20580.33 5190.08 7090.20 139
HY-MVS69.67 1277.95 16077.15 15780.36 19087.57 14660.21 22183.37 21887.78 18866.11 20075.37 15787.06 16063.27 9490.48 20661.38 20482.43 14990.40 135
VNet82.21 7282.41 6381.62 16990.82 6660.93 21484.47 19789.78 13276.36 6084.07 4391.88 5664.71 8390.26 20770.68 13588.89 7993.66 33
VPA-MVSNet80.60 10280.55 8880.76 18688.07 12860.80 21786.86 14391.58 7675.67 6980.24 8189.45 10663.34 9290.25 20870.51 13779.22 17991.23 102
ab-mvs79.51 12878.97 12381.14 18088.46 11960.91 21583.84 21189.24 14970.36 14979.03 8988.87 11563.23 9690.21 20965.12 17482.57 14892.28 78
DWT-MVSNet_test73.70 21071.86 21479.21 20782.91 23158.94 22882.34 22182.17 24165.21 20871.05 20478.31 27144.21 25790.17 21063.29 18677.28 19288.53 198
1112_ss77.40 18076.43 16680.32 19289.11 10060.41 22083.65 21387.72 18962.13 23973.05 18286.72 16562.58 11989.97 21162.11 19780.80 16290.59 124
tpmvs71.09 23269.29 23376.49 23882.04 24356.04 26278.92 25181.37 25064.05 22067.18 24978.28 27249.74 23089.77 21249.67 26972.37 24983.67 265
Vis-MVSNet (Re-imp)78.36 15078.45 13178.07 22288.64 11351.78 28086.70 15079.63 26574.14 8975.11 16690.83 7961.29 14089.75 21358.10 23191.60 5392.69 67
ambc75.24 24873.16 29750.51 28963.05 30887.47 19364.28 26777.81 27717.80 31489.73 21457.88 23360.64 29385.49 248
VPNet78.69 14578.66 12678.76 21288.31 12455.72 26584.45 20086.63 20076.79 4878.26 11090.55 8359.30 16089.70 21566.63 16377.05 19690.88 109
mvs_anonymous79.42 13379.11 12080.34 19184.45 18457.97 23882.59 22087.62 19067.40 19176.17 14888.56 12468.47 5489.59 21670.65 13686.05 11893.47 45
pmmvs674.69 20373.39 20378.61 21481.38 25157.48 24486.64 15187.95 18564.99 21270.18 21186.61 17550.43 22689.52 21762.12 19670.18 26188.83 180
DTE-MVSNet76.99 18376.80 16277.54 23086.24 16453.06 27787.52 11990.66 9977.08 4372.50 18788.67 11960.48 15489.52 21757.33 23870.74 25990.05 150
USDC70.33 23968.37 23976.21 24080.60 26056.23 26079.19 24986.49 20160.89 24661.29 27585.47 20331.78 29889.47 21953.37 25476.21 21482.94 276
Test_1112_low_res76.40 18975.44 18679.27 20589.28 9458.09 23581.69 22887.07 19659.53 25772.48 18886.67 17061.30 13989.33 22060.81 20980.15 17190.41 134
TransMVSNet (Re)75.39 20174.56 19477.86 22385.50 17257.10 24786.78 14786.09 20972.17 12671.53 20187.34 15063.01 10289.31 22156.84 24161.83 28987.17 225
WR-MVS_H78.51 14778.49 13078.56 21588.02 13056.38 25888.43 8792.67 3577.14 4073.89 17587.55 14566.25 7089.24 22258.92 22273.55 24390.06 149
PEN-MVS77.73 16577.69 15077.84 22487.07 15553.91 27387.91 10891.18 8877.56 3473.14 18188.82 11661.23 14189.17 22359.95 21372.37 24990.43 133
pm-mvs177.25 18176.68 16478.93 21084.22 18858.62 23086.41 15888.36 17971.37 13673.31 17888.01 13761.22 14289.15 22464.24 18173.01 24589.03 173
testdata79.97 19790.90 6464.21 17484.71 21859.27 25985.40 2092.91 4262.02 13089.08 22568.95 14791.37 5786.63 237
Baseline_NR-MVSNet78.15 15578.33 13777.61 22885.79 16756.21 26186.78 14785.76 21173.60 9677.93 11887.57 14465.02 8188.99 22667.14 16075.33 22687.63 214
旧先验286.56 15458.10 26587.04 1288.98 22774.07 106
LCM-MVSNet-Re77.05 18276.94 16077.36 23187.20 15351.60 28180.06 24080.46 25775.20 7867.69 24386.72 16562.48 12288.98 22763.44 18489.25 7791.51 95
AllTest70.96 23368.09 24479.58 20385.15 17563.62 18384.58 19679.83 26362.31 23760.32 27986.73 16332.02 29688.96 22950.28 26471.57 25586.15 241
TestCases79.58 20385.15 17563.62 18379.83 26362.31 23760.32 27986.73 16332.02 29688.96 22950.28 26471.57 25586.15 241
PatchFormer-LS_test74.50 20473.05 20678.86 21182.95 23059.55 22681.65 22982.30 24067.44 19071.62 20078.15 27352.34 20588.92 23165.05 17675.90 21788.12 204
GG-mvs-BLEND75.38 24781.59 24855.80 26479.32 24669.63 30467.19 24873.67 29143.24 26188.90 23250.41 26384.50 12981.45 282
gg-mvs-nofinetune69.95 24267.96 24575.94 24183.07 22654.51 27077.23 26270.29 30263.11 22670.32 20962.33 30443.62 26088.69 23353.88 25287.76 9584.62 259
patchmatchnet-post74.00 28951.12 21888.60 234
CP-MVSNet78.22 15178.34 13677.84 22487.83 13654.54 26987.94 10691.17 8977.65 3073.48 17788.49 12562.24 12788.43 23562.19 19474.07 23690.55 128
PS-CasMVS78.01 15878.09 14077.77 22687.71 14054.39 27188.02 10291.22 8677.50 3773.26 17988.64 12060.73 14888.41 23661.88 19873.88 24090.53 129
MS-PatchMatch73.83 20972.67 20877.30 23383.87 20766.02 12781.82 22584.66 21961.37 24568.61 23682.82 22947.29 24188.21 23759.27 21984.32 13277.68 293
pmmvs474.03 20871.91 21380.39 18981.96 24468.32 9381.45 23182.14 24259.32 25869.87 22085.13 20852.40 20488.13 23860.21 21274.74 23284.73 258
EPNet_dtu75.46 19974.86 19077.23 23482.57 23854.60 26886.89 14283.09 23271.64 13066.25 25785.86 19355.99 18088.04 23954.92 24786.55 11189.05 171
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
TDRefinement67.49 25264.34 25976.92 23573.47 29661.07 21384.86 19082.98 23359.77 25558.30 28585.13 20826.06 30387.89 24047.92 27560.59 29481.81 281
tpm cat170.57 23668.31 24077.35 23282.41 24057.95 23978.08 25880.22 26152.04 29468.54 23777.66 27852.00 21087.84 24151.77 25872.07 25286.25 239
Anonymous2023121164.82 26461.79 26973.91 25977.11 28450.92 28685.29 18381.53 24754.19 28557.98 28678.03 27426.90 30187.83 24237.92 29657.12 29782.99 274
TinyColmap67.30 25564.81 25874.76 25281.92 24556.68 25380.29 23981.49 24960.33 24956.27 29483.22 22524.77 30587.66 24345.52 28369.47 26279.95 287
ITE_SJBPF78.22 22181.77 24660.57 21883.30 23069.25 16667.54 24487.20 15636.33 29187.28 24454.34 24974.62 23386.80 232
MDTV_nov1_ep1369.97 23183.18 22453.48 27577.10 26380.18 26260.45 24869.33 22780.44 25848.89 23786.90 24551.60 25978.51 182
CR-MVSNet73.37 21371.27 22179.67 20181.32 25465.19 14875.92 26880.30 25959.92 25472.73 18581.19 25052.50 20286.69 24659.84 21477.71 18787.11 228
RPMNet71.62 22868.94 23679.67 20181.32 25465.19 14875.92 26878.30 27157.60 27172.73 18576.45 28252.30 20686.69 24648.14 27477.71 18787.11 228
Patchmtry70.74 23469.16 23475.49 24680.72 25854.07 27274.94 27780.30 25958.34 26470.01 21581.19 25052.50 20286.54 24853.37 25471.09 25785.87 247
JIA-IIPM66.32 26062.82 26776.82 23677.09 28561.72 21265.34 30475.38 28258.04 26764.51 26662.32 30542.05 27186.51 24951.45 26069.22 26482.21 278
CMPMVSbinary51.72 2170.19 24168.16 24276.28 23973.15 29857.55 24379.47 24583.92 22548.02 30156.48 29384.81 21443.13 26286.42 25062.67 19181.81 15584.89 255
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
pmmvs-eth3d70.50 23867.83 24878.52 21777.37 28266.18 12581.82 22581.51 24858.90 26163.90 27080.42 25942.69 26686.28 25158.56 22665.30 28383.11 271
CNLPA78.08 15676.79 16381.97 15690.40 7071.07 4387.59 11384.55 22066.03 20372.38 19089.64 9857.56 17186.04 25259.61 21683.35 13888.79 182
PatchmatchNetpermissive73.12 21971.33 22078.49 21883.18 22460.85 21679.63 24378.57 26964.13 21971.73 19879.81 26551.20 21685.97 25357.40 23776.36 21388.66 185
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
CVMVSNet72.99 22172.58 20974.25 25684.28 18550.85 28786.41 15883.45 22944.56 30373.23 18087.54 14649.38 23185.70 25465.90 16978.44 18386.19 240
IterMVS74.29 20572.94 20778.35 22081.53 24963.49 18681.58 23082.49 23768.06 18469.99 21783.69 22351.66 21385.54 25565.85 17071.64 25486.01 245
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
Patchmatch-RL test70.24 24067.78 25077.61 22877.43 28159.57 22471.16 28370.33 30162.94 23068.65 23472.77 29250.62 22485.49 25669.58 14466.58 27587.77 212
test_post178.90 2525.43 32248.81 23885.44 25759.25 220
pmmvs571.55 22970.20 23075.61 24477.83 27956.39 25781.74 22780.89 25157.76 26967.46 24584.49 21749.26 23485.32 25857.08 24075.29 22785.11 254
Patchmatch-test173.17 21871.42 21978.41 21984.05 20462.17 20877.03 26479.29 26766.30 19972.38 19079.58 26651.04 21985.08 25955.46 24677.67 18987.99 206
PatchMatch-RL72.38 22570.90 22576.80 23788.60 11467.38 11079.53 24476.17 28062.75 23369.36 22682.00 24145.51 25384.89 26053.62 25380.58 16578.12 291
RPSCF73.23 21771.46 21778.54 21682.50 23959.85 22282.18 22382.84 23558.96 26071.15 20389.41 10845.48 25484.77 26158.82 22471.83 25391.02 106
test_post5.46 32150.36 22784.24 262
EU-MVSNet68.53 24967.61 25271.31 27078.51 27847.01 29784.47 19784.27 22342.27 30466.44 25684.79 21540.44 27783.76 26358.76 22568.54 26983.17 269
MDA-MVSNet-bldmvs66.68 25763.66 26175.75 24279.28 27560.56 21973.92 27978.35 27064.43 21650.13 30479.87 26444.02 25983.67 26446.10 28156.86 29883.03 273
MIMVSNet168.58 24866.78 25473.98 25880.07 26651.82 27980.77 23484.37 22164.40 21759.75 28282.16 23636.47 29083.63 26542.73 28970.33 26086.48 238
PM-MVS66.41 25964.14 26073.20 26173.92 29356.45 25578.97 25064.96 31463.88 22464.72 26580.24 26019.84 31183.44 26666.24 16464.52 28579.71 288
PVSNet64.34 1872.08 22770.87 22675.69 24386.21 16556.44 25674.37 27880.73 25462.06 24070.17 21282.23 23542.86 26583.31 26754.77 24884.45 13187.32 221
tpm72.37 22671.71 21674.35 25582.19 24252.00 27879.22 24877.29 27664.56 21572.95 18383.68 22451.35 21483.26 26858.33 22975.80 21887.81 211
tpmrst72.39 22472.13 21273.18 26280.54 26149.91 29179.91 24279.08 26863.11 22671.69 19979.95 26255.32 18482.77 26965.66 17273.89 23986.87 231
MVS-HIRNet59.14 27357.67 27663.57 28881.65 24743.50 30271.73 28265.06 31339.59 30851.43 30257.73 30838.34 28482.58 27039.53 29473.95 23864.62 307
FMVSNet569.50 24467.96 24574.15 25782.97 22955.35 26680.01 24182.12 24362.56 23563.02 27281.53 24936.92 28981.92 27148.42 27274.06 23785.17 253
PatchT68.46 25067.85 24770.29 27380.70 25943.93 30172.47 28174.88 28660.15 25270.55 20676.57 28149.94 22981.59 27250.58 26274.83 23185.34 250
MIMVSNet70.69 23569.30 23274.88 25084.52 18256.35 25975.87 27079.42 26664.59 21467.76 24182.41 23241.10 27481.54 27346.64 27981.34 15786.75 234
WTY-MVS75.65 19875.68 18475.57 24586.40 16356.82 24977.92 25982.40 23865.10 21076.18 14687.72 13963.13 10180.90 27460.31 21181.96 15289.00 176
dp66.80 25665.43 25770.90 27279.74 26948.82 29475.12 27574.77 28859.61 25664.08 26977.23 27942.89 26480.72 27548.86 27166.58 27583.16 270
ADS-MVSNet266.20 26163.33 26274.82 25179.92 26758.75 22967.55 30075.19 28453.37 29065.25 26275.86 28342.32 26880.53 27641.57 29168.91 26585.18 251
LP61.36 27157.78 27572.09 26475.54 29158.53 23167.16 30275.22 28351.90 29654.13 29569.97 29837.73 28780.45 27732.74 30355.63 30077.29 295
XXY-MVS75.41 20075.56 18574.96 24983.59 21457.82 24180.59 23783.87 22666.54 19774.93 16988.31 12963.24 9580.09 27862.16 19576.85 20386.97 230
no-one51.08 28445.79 29066.95 28457.92 31550.49 29059.63 31176.04 28148.04 30031.85 31056.10 31119.12 31280.08 27936.89 29826.52 31270.29 303
test-LLR72.94 22272.43 21074.48 25381.35 25258.04 23678.38 25477.46 27466.66 19369.95 21879.00 26948.06 23979.24 28066.13 16584.83 12586.15 241
test-mter71.41 23070.39 22974.48 25381.35 25258.04 23678.38 25477.46 27460.32 25069.95 21879.00 26936.08 29279.24 28066.13 16584.83 12586.15 241
Anonymous2023120668.60 24767.80 24971.02 27180.23 26550.75 28878.30 25780.47 25656.79 27666.11 25882.63 23146.35 24678.95 28243.62 28875.70 21983.36 268
UnsupCasMVSNet_bld63.70 26861.53 27170.21 27473.69 29451.39 28472.82 28081.89 24455.63 28157.81 28771.80 29438.67 28278.61 28349.26 27052.21 30580.63 284
test20.0367.45 25366.95 25368.94 27775.48 29244.84 29977.50 26077.67 27366.66 19363.01 27383.80 22047.02 24378.40 28442.53 29068.86 26783.58 266
PMMVS69.34 24568.67 23771.35 26975.67 28962.03 20975.17 27273.46 29550.00 29968.68 23379.05 26752.07 20978.13 28561.16 20682.77 14473.90 300
sss73.60 21173.64 20273.51 26082.80 23355.01 26776.12 26681.69 24662.47 23674.68 17185.85 19457.32 17278.11 28660.86 20880.93 16087.39 219
LCM-MVSNet54.25 28049.68 28767.97 28253.73 31745.28 29866.85 30380.78 25335.96 31039.45 30962.23 3068.70 32378.06 28748.24 27351.20 30680.57 285
EPMVS69.02 24668.16 24271.59 26579.61 27049.80 29377.40 26166.93 31062.82 23270.01 21579.05 26745.79 25077.86 28856.58 24275.26 22887.13 227
PVSNet_057.27 2061.67 27059.27 27268.85 27979.61 27057.44 24568.01 29873.44 29655.93 28058.54 28470.41 29744.58 25677.55 28947.01 27635.91 31071.55 302
UnsupCasMVSNet_eth67.33 25465.99 25671.37 26773.48 29551.47 28375.16 27385.19 21565.20 20960.78 27780.93 25742.35 26777.20 29057.12 23953.69 30385.44 249
TESTMET0.1,169.89 24369.00 23572.55 26379.27 27656.85 24878.38 25474.71 29057.64 27068.09 24077.19 28037.75 28676.70 29163.92 18284.09 13384.10 264
LF4IMVS64.02 26762.19 26869.50 27670.90 30353.29 27676.13 26577.18 27752.65 29358.59 28380.98 25523.55 30676.52 29253.06 25666.66 27478.68 290
new-patchmatchnet61.73 26961.73 27061.70 29172.74 29924.50 32269.16 29378.03 27261.40 24356.72 29275.53 28538.42 28376.48 29345.95 28257.67 29684.13 263
PMVScopyleft37.38 2244.16 29040.28 29255.82 29640.82 32342.54 30365.12 30563.99 31534.43 31124.48 31457.12 3103.92 32576.17 29417.10 31755.52 30148.75 310
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
test0.0.03 168.00 25167.69 25168.90 27877.55 28047.43 29575.70 27172.95 29766.66 19366.56 25382.29 23448.06 23975.87 29544.97 28674.51 23483.41 267
Gipumacopyleft45.18 28941.86 29155.16 29777.03 28651.52 28232.50 31980.52 25532.46 31227.12 31335.02 3159.52 32275.50 29622.31 31560.21 29538.45 314
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
pmmvs357.79 27654.26 28168.37 28164.02 31056.72 25175.12 27565.17 31240.20 30652.93 30069.86 29920.36 31075.48 29745.45 28455.25 30272.90 301
testgi66.67 25866.53 25567.08 28375.62 29041.69 30675.93 26776.50 27966.11 20065.20 26486.59 17635.72 29374.71 29843.71 28773.38 24484.84 256
YYNet165.03 26262.91 26571.38 26675.85 28856.60 25469.12 29474.66 29257.28 27454.12 29677.87 27645.85 24974.48 29949.95 26761.52 29183.05 272
MDA-MVSNet_test_wron65.03 26262.92 26471.37 26775.93 28756.73 25069.09 29574.73 28957.28 27454.03 29777.89 27545.88 24874.39 30049.89 26861.55 29082.99 274
test123567858.74 27556.89 27964.30 28569.70 30441.87 30571.05 28474.87 28754.06 28650.63 30371.53 29525.30 30474.10 30131.80 30763.10 28776.93 297
ADS-MVSNet64.36 26662.88 26668.78 28079.92 26747.17 29667.55 30071.18 30053.37 29065.25 26275.86 28342.32 26873.99 30241.57 29168.91 26585.18 251
ANet_high50.57 28646.10 28963.99 28648.67 32039.13 30870.99 28680.85 25261.39 24431.18 31257.70 30917.02 31573.65 30331.22 30815.89 31979.18 289
testpf56.51 27957.58 27753.30 29871.99 30141.19 30746.89 31669.32 30758.06 26652.87 30169.45 30027.99 30072.73 30459.59 21762.07 28845.98 312
test235659.50 27258.08 27363.74 28771.23 30241.88 30467.59 29972.42 29953.72 28957.65 28870.74 29626.31 30272.40 30532.03 30671.06 25876.93 297
testmv53.85 28151.03 28462.31 28961.46 31238.88 31070.95 28774.69 29151.11 29841.26 30666.85 30114.28 31772.13 30629.19 30949.51 30775.93 299
wuykxyi23d39.76 29233.18 29659.51 29446.98 32144.01 30057.70 31267.74 30924.13 31613.98 32134.33 3161.27 32871.33 30734.23 30118.23 31563.18 308
Patchmatch-test64.82 26463.24 26369.57 27579.42 27249.82 29263.49 30769.05 30851.98 29559.95 28180.13 26150.91 22070.98 30840.66 29373.57 24287.90 209
testus59.00 27457.91 27462.25 29072.25 30039.09 30969.74 28875.02 28553.04 29257.21 29073.72 29018.76 31370.33 30932.86 30268.57 26877.35 294
FPMVS53.68 28251.64 28359.81 29365.08 30951.03 28569.48 29169.58 30541.46 30540.67 30772.32 29316.46 31670.00 31024.24 31465.42 28258.40 309
test1235649.28 28748.51 28851.59 30062.06 31119.11 32360.40 30972.45 29847.60 30240.64 30865.68 30213.84 31868.72 31127.29 31146.67 30966.94 305
DSMNet-mixed57.77 27756.90 27860.38 29267.70 30835.61 31269.18 29253.97 31732.30 31457.49 28979.88 26340.39 27868.57 31238.78 29572.37 24976.97 296
111157.11 27856.82 28057.97 29569.10 30528.28 31768.90 29674.54 29354.01 28753.71 29874.51 28723.09 30767.90 31332.28 30461.26 29277.73 292
.test124545.55 28850.02 28632.14 30769.10 30528.28 31768.90 29674.54 29354.01 28753.71 29874.51 28723.09 30767.90 31332.28 3040.02 3220.25 321
N_pmnet52.79 28353.26 28251.40 30178.99 2777.68 32669.52 2903.89 32651.63 29757.01 29174.98 28640.83 27565.96 31537.78 29764.67 28480.56 286
PNet_i23d38.26 29335.42 29446.79 30258.74 31335.48 31359.65 31051.25 31832.45 31323.44 31747.53 3132.04 32758.96 31625.60 31318.09 31745.92 313
new_pmnet50.91 28550.29 28552.78 29968.58 30734.94 31563.71 30656.63 31639.73 30744.95 30565.47 30321.93 30958.48 31734.98 30056.62 29964.92 306
PMMVS240.82 29138.86 29346.69 30353.84 31616.45 32448.61 31549.92 31937.49 30931.67 31160.97 3078.14 32456.42 31828.42 31030.72 31167.19 304
E-PMN31.77 29530.64 29735.15 30552.87 31827.67 31957.09 31347.86 32024.64 31516.40 31933.05 31711.23 32054.90 31914.46 31918.15 31622.87 316
EMVS30.81 29629.65 29834.27 30650.96 31925.95 32156.58 31446.80 32124.01 31715.53 32030.68 31812.47 31954.43 32012.81 32017.05 31822.43 317
MVEpermissive26.22 2330.37 29725.89 30043.81 30444.55 32235.46 31428.87 32039.07 32218.20 31818.58 31840.18 3142.68 32647.37 32117.07 31823.78 31448.60 311
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
DeepMVS_CXcopyleft27.40 30940.17 32426.90 32024.59 32517.44 31923.95 31548.61 3129.77 32126.48 32218.06 31624.47 31328.83 315
wuyk23d16.82 30015.94 30219.46 31058.74 31331.45 31639.22 3173.74 3276.84 3206.04 3222.70 3231.27 32824.29 32310.54 32114.40 3212.63 319
tmp_tt18.61 29921.40 30110.23 3114.82 32510.11 32534.70 31830.74 3241.48 32123.91 31626.07 31928.42 29913.41 32427.12 31215.35 3207.17 318
testmvs6.04 3038.02 3050.10 3130.08 3260.03 32869.74 2880.04 3280.05 3220.31 3231.68 3240.02 3310.04 3250.24 3220.02 3220.25 321
test1236.12 3028.11 3040.14 3120.06 3270.09 32771.05 2840.03 3290.04 3230.25 3241.30 3250.05 3300.03 3260.21 3230.01 3240.29 320
cdsmvs_eth3d_5k19.96 29826.61 2990.00 3140.00 3280.00 3290.00 32189.26 1480.00 3240.00 32588.61 12161.62 1330.00 3270.00 3240.00 3250.00 323
pcd_1.5k_mvsjas5.26 3047.02 3060.00 3140.00 3280.00 3290.00 3210.00 3300.00 3240.00 3250.00 32663.15 980.00 3270.00 3240.00 3250.00 323
pcd1.5k->3k34.07 29435.26 29530.50 30886.92 1560.00 3290.00 32191.58 760.00 3240.00 3250.00 32656.23 1790.00 3270.00 32482.60 14791.49 97
sosnet-low-res0.00 3050.00 307