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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
PS-MVSNAJ88.14 1687.61 2689.71 792.06 10476.72 195.75 1993.26 9083.86 1189.55 2096.06 3153.55 20597.89 4891.10 1893.31 5594.54 96
DPM-MVS90.70 290.52 791.24 189.68 15876.68 297.29 195.35 1082.87 1591.58 1097.22 479.93 599.10 983.12 8297.64 297.94 1
xiu_mvs_v2_base87.92 2187.38 3289.55 1291.41 12976.43 395.74 2093.12 9983.53 1389.55 2095.95 3253.45 20997.68 5491.07 1992.62 6494.54 96
MG-MVS87.11 3386.27 4489.62 897.79 176.27 494.96 4494.49 4178.74 6783.87 6892.94 11764.34 8396.94 10375.19 14194.09 4095.66 47
CHOSEN 1792x268884.98 6583.45 7989.57 1189.94 15375.14 592.07 14792.32 12581.87 2575.68 14788.27 19060.18 12698.60 2580.46 10790.27 9994.96 80
MVS84.66 7082.86 9490.06 290.93 13674.56 687.91 26595.54 968.55 24772.35 18694.71 7459.78 13398.90 1881.29 10294.69 3296.74 12
ETH3 D test640090.27 690.44 889.75 696.82 974.33 795.89 1694.80 2977.13 8989.13 2297.38 274.49 1898.48 2892.32 1195.98 896.46 25
DELS-MVS90.05 790.09 1089.94 493.14 7873.88 897.01 394.40 4788.32 285.71 4694.91 6974.11 2098.91 1787.26 5195.94 997.03 10
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
MCST-MVS91.08 191.46 289.94 497.66 273.37 997.13 295.58 889.33 185.77 4496.26 2772.84 2799.38 192.64 695.93 1097.08 9
LFMVS84.34 7582.73 9689.18 1394.76 3773.25 1094.99 4391.89 14571.90 18382.16 7893.49 10747.98 25597.05 9082.55 8984.82 14197.25 7
MSC_two_6792asdad89.60 997.31 473.22 1195.05 2199.07 1392.01 1294.77 2596.51 20
No_MVS89.60 997.31 473.22 1195.05 2199.07 1392.01 1294.77 2596.51 20
OPU-MVS89.97 397.52 373.15 1396.89 497.00 983.82 299.15 295.72 197.63 397.62 2
PAPM85.89 5385.46 5787.18 4188.20 19772.42 1492.41 13592.77 11082.11 2280.34 9793.07 11468.27 4095.02 17278.39 12493.59 5194.09 115
canonicalmvs86.85 3986.25 4688.66 1891.80 11771.92 1593.54 9291.71 15480.26 4187.55 2895.25 5463.59 9596.93 10588.18 3984.34 14797.11 8
iter_conf0583.27 9582.70 9784.98 11793.32 7071.84 1694.16 5681.76 33582.74 1673.83 16788.40 18672.77 2894.61 18682.10 9175.21 21188.48 221
OpenMVScopyleft70.45 1178.54 18175.92 19986.41 7185.93 23971.68 1792.74 11992.51 12266.49 26464.56 26991.96 13943.88 28198.10 3954.61 28490.65 9589.44 211
test_part179.63 15777.86 17184.93 11892.50 9571.43 1894.15 5991.08 18372.51 16470.66 20084.98 22759.84 13195.07 17172.07 16962.94 29388.30 227
QAPM79.95 15277.39 18187.64 2989.63 15971.41 1993.30 9993.70 7165.34 27367.39 24791.75 14347.83 25698.96 1657.71 27589.81 10092.54 162
3Dnovator73.91 682.69 10780.82 12288.31 2289.57 16071.26 2092.60 12894.39 4878.84 6467.89 23992.48 13048.42 25098.52 2668.80 20094.40 3795.15 71
MVSFormer83.75 8982.88 9386.37 7289.24 17071.18 2189.07 24990.69 19265.80 26887.13 3094.34 8764.99 7492.67 25672.83 15791.80 7895.27 66
lupinMVS87.74 2387.77 2387.63 3389.24 17071.18 2196.57 1092.90 10782.70 1887.13 3095.27 5264.99 7495.80 13889.34 2891.80 7895.93 40
alignmvs87.28 2986.97 3888.24 2391.30 13071.14 2395.61 2493.56 7679.30 5387.07 3395.25 5468.43 3996.93 10587.87 4184.33 14896.65 13
ET-MVSNet_ETH3D84.01 8383.15 8986.58 6290.78 14170.89 2494.74 4794.62 3781.44 3058.19 30993.64 10373.64 2492.35 27082.66 8678.66 18596.50 23
CSCG86.87 3886.26 4588.72 1595.05 3570.79 2593.83 8395.33 1168.48 24977.63 12894.35 8673.04 2598.45 2984.92 7093.71 4996.92 11
CNVR-MVS90.32 590.89 688.61 1996.76 1070.65 2696.47 1294.83 2684.83 989.07 2396.80 1570.86 3599.06 1592.64 695.71 1196.12 35
API-MVS82.28 11180.53 12887.54 3496.13 2470.59 2793.63 8891.04 18665.72 27075.45 15292.83 12356.11 17698.89 1964.10 24089.75 10393.15 146
jason86.40 4486.17 4787.11 4386.16 23370.54 2895.71 2392.19 13482.00 2484.58 5894.34 8761.86 11195.53 15987.76 4290.89 9295.27 66
jason: jason.
test_0728_SECOND88.70 1696.45 1470.43 2996.64 894.37 4999.15 291.91 1494.90 2196.51 20
PatchmatchNetpermissive77.46 19774.63 21285.96 8389.55 16270.35 3079.97 32689.55 23672.23 17470.94 19876.91 31757.03 16092.79 25154.27 28681.17 16794.74 87
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
IB-MVS77.80 482.18 11280.46 13087.35 3889.14 17270.28 3195.59 2595.17 1578.85 6370.19 20885.82 22070.66 3697.67 5572.19 16866.52 26894.09 115
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
SCA75.82 22272.76 23885.01 11686.63 22470.08 3281.06 31689.19 24871.60 20070.01 21077.09 31545.53 27390.25 29960.43 26373.27 22194.68 89
DVP-MVScopyleft89.41 1289.73 1388.45 2196.40 1769.99 3396.64 894.52 3971.92 18190.55 1696.93 1073.77 2299.08 1191.91 1494.90 2196.29 30
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
test072696.40 1769.99 3396.76 694.33 5171.92 18191.89 897.11 773.77 22
VNet86.20 4785.65 5687.84 2693.92 5469.99 3395.73 2295.94 678.43 6986.00 4293.07 11458.22 14897.00 9585.22 6784.33 14896.52 19
MS-PatchMatch77.90 19376.50 19182.12 19785.99 23569.95 3691.75 16692.70 11273.97 13262.58 28884.44 23541.11 28995.78 13963.76 24392.17 7280.62 331
DVP-MVS++90.53 391.09 488.87 1497.31 469.91 3793.96 6994.37 4972.48 16592.07 696.85 1283.82 299.15 291.53 1697.42 497.55 4
IU-MVS96.46 1369.91 3795.18 1480.75 3795.28 192.34 895.36 1496.47 24
MVS_Test84.16 8183.20 8687.05 4591.56 12369.82 3989.99 23092.05 13677.77 7982.84 7386.57 21163.93 8896.09 12874.91 14789.18 10695.25 69
VDDNet80.50 14178.26 16287.21 4086.19 23269.79 4094.48 4991.31 17060.42 30879.34 10890.91 15338.48 30096.56 11782.16 9081.05 16895.27 66
MVS_111021_HR86.19 4885.80 5387.37 3793.17 7769.79 4093.99 6893.76 6779.08 6078.88 11793.99 9762.25 10898.15 3885.93 6291.15 9094.15 112
test_one_060196.32 2069.74 4294.18 5571.42 20790.67 1596.85 1274.45 19
CANet89.61 1189.99 1188.46 2094.39 4469.71 4396.53 1193.78 6486.89 489.68 1995.78 3465.94 6499.10 992.99 493.91 4496.58 17
EPMVS78.49 18275.98 19886.02 8191.21 13269.68 4480.23 32291.20 17475.25 11472.48 18278.11 30654.65 19193.69 22857.66 27683.04 15494.69 88
GG-mvs-BLEND86.53 6591.91 11369.67 4575.02 34194.75 3178.67 12190.85 15477.91 794.56 19172.25 16593.74 4795.36 57
Effi-MVS+83.82 8782.76 9586.99 4789.56 16169.40 4691.35 18486.12 30472.59 16183.22 7192.81 12459.60 13596.01 13581.76 9487.80 11895.56 50
SED-MVS89.94 890.36 988.70 1696.45 1469.38 4796.89 494.44 4371.65 19592.11 497.21 576.79 999.11 692.34 895.36 1497.62 2
test_241102_ONE96.45 1469.38 4794.44 4371.65 19592.11 497.05 876.79 999.11 6
WTY-MVS86.32 4585.81 5287.85 2592.82 8569.37 4995.20 3395.25 1282.71 1781.91 7994.73 7367.93 4797.63 6079.55 11182.25 15996.54 18
test_yl84.28 7683.16 8787.64 2994.52 4269.24 5095.78 1795.09 1969.19 23981.09 8892.88 12157.00 16297.44 6881.11 10381.76 16396.23 33
DCV-MVSNet84.28 7683.16 8787.64 2994.52 4269.24 5095.78 1795.09 1969.19 23981.09 8892.88 12157.00 16297.44 6881.11 10381.76 16396.23 33
cascas78.18 18675.77 20185.41 10587.14 21869.11 5292.96 11191.15 17866.71 26270.47 20286.07 21737.49 31096.48 12070.15 18479.80 17490.65 196
iter_conf_final81.74 12280.93 12184.18 14392.66 9169.10 5392.94 11482.80 33379.01 6274.85 15688.40 18661.83 11294.61 18679.36 11276.52 20688.83 213
casdiffmvs85.37 5984.87 6586.84 5088.25 19569.07 5493.04 10791.76 15181.27 3180.84 9392.07 13864.23 8496.06 13184.98 6987.43 12195.39 54
NCCC89.07 1489.46 1487.91 2496.60 1269.05 5596.38 1394.64 3684.42 1086.74 3496.20 2866.56 6098.76 2289.03 3494.56 3395.92 41
MVSTER82.47 10882.05 10583.74 15292.68 9069.01 5691.90 15693.21 9179.83 4472.14 18785.71 22274.72 1694.72 18275.72 13872.49 22987.50 233
FMVSNet377.73 19476.04 19782.80 17491.20 13368.99 5791.87 15791.99 13973.35 14767.04 25083.19 24856.62 17092.14 27359.80 26869.34 24887.28 241
MSLP-MVS++86.27 4685.91 5187.35 3892.01 10768.97 5895.04 4192.70 11279.04 6181.50 8396.50 2058.98 14496.78 10983.49 8093.93 4396.29 30
test1287.09 4494.60 4168.86 5992.91 10682.67 7665.44 7097.55 6493.69 5094.84 85
nrg03080.93 13579.86 13884.13 14583.69 27168.83 6093.23 10191.20 17475.55 10675.06 15488.22 19463.04 10394.74 18181.88 9366.88 26588.82 216
SD-MVS87.49 2687.49 2987.50 3593.60 6368.82 6193.90 7692.63 11876.86 9287.90 2795.76 3566.17 6197.63 6089.06 3291.48 8496.05 37
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
baseline85.01 6484.44 6986.71 5688.33 19268.73 6290.24 22191.82 15081.05 3581.18 8792.50 12763.69 9296.08 13084.45 7386.71 12995.32 60
SMA-MVScopyleft88.14 1688.29 1987.67 2893.21 7568.72 6393.85 7994.03 6074.18 12791.74 996.67 1665.61 6998.42 3289.24 3096.08 795.88 43
Yufeng Yin; Xiaoyan Liu; Zichao Zhang: SMA-MVS: Segmentation-Guided Multi-Scale Anchor Deformation Patch Multi-View Stereo. IEEE Transactions on Circuits and Systems for Video Technology
xiu_mvs_v1_base_debu82.16 11381.12 11685.26 11086.42 22768.72 6392.59 13090.44 20173.12 15184.20 6294.36 8238.04 30495.73 14384.12 7586.81 12491.33 185
xiu_mvs_v1_base82.16 11381.12 11685.26 11086.42 22768.72 6392.59 13090.44 20173.12 15184.20 6294.36 8238.04 30495.73 14384.12 7586.81 12491.33 185
xiu_mvs_v1_base_debi82.16 11381.12 11685.26 11086.42 22768.72 6392.59 13090.44 20173.12 15184.20 6294.36 8238.04 30495.73 14384.12 7586.81 12491.33 185
MDTV_nov1_ep1372.61 24189.06 17368.48 6780.33 32090.11 21671.84 18971.81 19175.92 32553.01 21193.92 22248.04 30873.38 220
CostFormer82.33 11081.15 11585.86 8789.01 17568.46 6882.39 30793.01 10275.59 10580.25 9881.57 26772.03 3394.96 17479.06 11777.48 19794.16 111
mvs_anonymous81.36 12679.99 13685.46 10290.39 14668.40 6986.88 28090.61 19774.41 12270.31 20784.67 23263.79 9092.32 27173.13 15485.70 13595.67 46
gg-mvs-nofinetune77.18 20174.31 21985.80 9091.42 12768.36 7071.78 34394.72 3249.61 34777.12 13545.92 36477.41 893.98 21967.62 20893.16 5795.05 76
DeepC-MVS_fast79.48 287.95 2088.00 2087.79 2795.86 2968.32 7195.74 2094.11 5983.82 1283.49 6996.19 2964.53 8198.44 3083.42 8194.88 2496.61 14
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
PAPR85.15 6284.47 6787.18 4196.02 2768.29 7291.85 15993.00 10476.59 9779.03 11395.00 6261.59 11497.61 6278.16 12589.00 10795.63 48
tpmrst80.57 13979.14 15484.84 12390.10 15068.28 7381.70 31089.72 23377.63 8475.96 14479.54 29864.94 7692.71 25375.43 13977.28 20093.55 134
thisisatest051583.41 9282.49 10186.16 7889.46 16468.26 7493.54 9294.70 3374.31 12575.75 14590.92 15272.62 2996.52 11969.64 18881.50 16593.71 130
tpm279.80 15577.95 16885.34 10888.28 19368.26 7481.56 31291.42 16670.11 22777.59 13080.50 28567.40 5194.26 20467.34 21077.35 19893.51 135
HPM-MVS++copyleft89.37 1389.95 1287.64 2995.10 3468.23 7695.24 3294.49 4182.43 1988.90 2496.35 2471.89 3498.63 2488.76 3696.40 696.06 36
dcpmvs_287.37 2887.55 2886.85 4995.04 3668.20 7790.36 21690.66 19579.37 5281.20 8693.67 10274.73 1596.55 11890.88 2192.00 7595.82 44
test_part296.29 2168.16 7890.78 13
HyFIR lowres test81.03 13479.56 14385.43 10487.81 20668.11 7990.18 22290.01 22270.65 22172.95 17386.06 21863.61 9494.50 19675.01 14579.75 17593.67 131
TSAR-MVS + MP.88.11 1888.64 1686.54 6491.73 11868.04 8090.36 21693.55 7782.89 1491.29 1292.89 12072.27 3196.03 13387.99 4094.77 2595.54 51
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
diffmvs84.28 7683.83 7485.61 9887.40 21368.02 8190.88 20189.24 24580.54 3981.64 8292.52 12659.83 13294.52 19587.32 5085.11 13994.29 104
CR-MVSNet73.79 24570.82 25782.70 17783.15 27867.96 8270.25 34684.00 32373.67 14269.97 21272.41 33657.82 15289.48 31052.99 29273.13 22290.64 197
RPMNet70.42 26965.68 28584.63 13183.15 27867.96 8270.25 34690.45 19846.83 35569.97 21265.10 35356.48 17395.30 16735.79 35273.13 22290.64 197
xxxxxxxxxxxxxcwj87.14 3287.19 3486.99 4793.84 5667.89 8495.05 3984.72 31578.19 7186.25 3696.44 2166.98 5497.79 5188.68 3794.56 3395.28 64
save fliter93.84 5667.89 8495.05 3992.66 11578.19 71
V4276.46 21174.55 21582.19 19379.14 31867.82 8690.26 22089.42 24073.75 13868.63 22981.89 26051.31 22494.09 20971.69 17364.84 27984.66 288
tpm cat175.30 22972.21 24684.58 13288.52 18367.77 8778.16 33588.02 28461.88 30168.45 23276.37 32160.65 12194.03 21753.77 28974.11 21591.93 176
HY-MVS76.49 584.28 7683.36 8587.02 4692.22 10167.74 8884.65 28994.50 4079.15 5782.23 7787.93 19766.88 5696.94 10380.53 10682.20 16096.39 28
VDD-MVS83.06 9981.81 11086.81 5290.86 13967.70 8995.40 2891.50 16375.46 10781.78 8092.34 13440.09 29297.13 8886.85 5582.04 16195.60 49
FMVSNet276.07 21474.01 22582.26 19188.85 17767.66 9091.33 18591.61 15870.84 21665.98 25782.25 25648.03 25292.00 27858.46 27368.73 25487.10 243
CLD-MVS82.73 10482.35 10483.86 15087.90 20467.65 9195.45 2792.18 13585.06 872.58 17992.27 13552.46 21595.78 13984.18 7479.06 18088.16 228
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
DPE-MVScopyleft88.77 1589.21 1587.45 3696.26 2267.56 9294.17 5594.15 5768.77 24590.74 1497.27 376.09 1298.49 2790.58 2394.91 2096.30 29
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
131480.70 13878.95 15585.94 8487.77 20767.56 9287.91 26592.55 12172.17 17767.44 24493.09 11150.27 23397.04 9271.68 17487.64 11993.23 144
ACMMP_NAP86.05 5085.80 5386.80 5391.58 12267.53 9491.79 16193.49 8174.93 11884.61 5795.30 4959.42 13797.92 4586.13 5994.92 1994.94 81
PVSNet_BlendedMVS83.38 9383.43 8083.22 16893.76 5867.53 9494.06 6493.61 7479.13 5881.00 9185.14 22563.19 10097.29 7887.08 5273.91 21884.83 287
PVSNet_Blended86.73 4286.86 4086.31 7593.76 5867.53 9496.33 1493.61 7482.34 2081.00 9193.08 11263.19 10097.29 7887.08 5291.38 8694.13 113
ETH3D cwj APD-0.1687.06 3487.18 3586.71 5691.99 10967.48 9792.97 11094.21 5471.48 20685.72 4596.32 2668.13 4398.00 4289.06 3294.70 3194.65 92
SF-MVS87.03 3587.09 3686.84 5092.70 8967.45 9893.64 8793.76 6770.78 21986.25 3696.44 2166.98 5497.79 5188.68 3794.56 3395.28 64
test_prior387.38 2787.70 2486.42 6994.71 3967.35 9995.10 3793.10 10075.40 11085.25 5495.61 4067.94 4596.84 10787.47 4694.77 2595.05 76
test_prior86.42 6994.71 3967.35 9993.10 10096.84 10795.05 76
TEST994.18 4667.28 10194.16 5693.51 7871.75 19385.52 4895.33 4768.01 4497.27 82
train_agg87.21 3187.42 3186.60 6094.18 4667.28 10194.16 5693.51 7871.87 18685.52 4895.33 4768.19 4197.27 8289.09 3194.90 2195.25 69
ETH3D-3000-0.187.61 2487.89 2186.75 5593.58 6467.21 10394.31 5394.14 5872.92 15687.13 3096.62 1767.81 4997.94 4390.13 2494.42 3695.09 74
test_894.19 4567.19 10494.15 5993.42 8571.87 18685.38 5195.35 4668.19 4196.95 102
CDPH-MVS85.71 5685.46 5786.46 6794.75 3867.19 10493.89 7792.83 10970.90 21583.09 7295.28 5063.62 9397.36 7380.63 10594.18 3994.84 85
test_prior467.18 10693.92 75
v2v48277.42 19875.65 20482.73 17680.38 30167.13 10791.85 15990.23 21275.09 11669.37 21683.39 24653.79 20394.44 19771.77 17165.00 27886.63 252
DP-MVS Recon82.73 10481.65 11185.98 8297.31 467.06 10895.15 3591.99 13969.08 24276.50 14293.89 9954.48 19598.20 3670.76 17985.66 13692.69 157
tpmvs72.88 25369.76 26582.22 19290.98 13567.05 10978.22 33488.30 27763.10 28864.35 27474.98 32855.09 18894.27 20243.25 32769.57 24785.34 281
gm-plane-assit88.42 18867.04 11078.62 6891.83 14197.37 7276.57 134
ETV-MVS86.01 5186.11 4885.70 9690.21 14967.02 11193.43 9791.92 14281.21 3284.13 6594.07 9660.93 12095.63 14989.28 2989.81 10094.46 103
agg_prior187.02 3687.26 3386.28 7694.16 5066.97 11294.08 6393.31 8871.85 18884.49 5995.39 4568.91 3896.75 11188.84 3594.32 3895.13 72
agg_prior94.16 5066.97 11293.31 8884.49 5996.75 111
ADS-MVSNet68.54 28464.38 29781.03 22688.06 19966.90 11468.01 35384.02 32257.57 32264.48 27069.87 34538.68 29689.21 31240.87 33867.89 26086.97 244
CANet_DTU84.09 8283.52 7685.81 8990.30 14766.82 11591.87 15789.01 25885.27 786.09 4193.74 10147.71 25896.98 9977.90 12889.78 10293.65 132
v875.35 22873.26 23381.61 20980.67 29866.82 11589.54 23889.27 24471.65 19563.30 28280.30 28954.99 18994.06 21267.33 21162.33 29883.94 293
3Dnovator+73.60 782.10 11680.60 12786.60 6090.89 13866.80 11795.20 3393.44 8474.05 12967.42 24592.49 12949.46 24097.65 5970.80 17891.68 8095.33 58
PAPM_NR82.97 10181.84 10886.37 7294.10 5266.76 11887.66 27092.84 10869.96 22974.07 16493.57 10563.10 10297.50 6670.66 18190.58 9694.85 82
v1074.77 23572.54 24381.46 21180.33 30466.71 11989.15 24889.08 25570.94 21463.08 28379.86 29452.52 21494.04 21565.70 22962.17 29983.64 295
DeepC-MVS77.85 385.52 5785.24 5986.37 7288.80 18066.64 12092.15 14193.68 7281.07 3476.91 13893.64 10362.59 10598.44 3085.50 6492.84 6294.03 119
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
baseline181.84 12081.03 12084.28 14291.60 12166.62 12191.08 19591.66 15781.87 2574.86 15591.67 14569.98 3794.92 17771.76 17264.75 28191.29 190
v114476.73 20974.88 20982.27 18980.23 30666.60 12291.68 16890.21 21473.69 14069.06 22181.89 26052.73 21394.40 19869.21 19565.23 27585.80 271
PVSNet_Blended_VisFu83.97 8483.50 7785.39 10690.02 15166.59 12393.77 8491.73 15277.43 8877.08 13789.81 17363.77 9196.97 10079.67 11088.21 11492.60 160
v14419276.05 21774.03 22482.12 19779.50 31266.55 12491.39 18089.71 23472.30 17268.17 23381.33 27251.75 22094.03 21767.94 20464.19 28585.77 272
VPNet78.82 17277.53 17682.70 17784.52 25866.44 12593.93 7492.23 12880.46 4072.60 17888.38 18849.18 24493.13 23772.47 16463.97 28988.55 220
SteuartSystems-ACMMP86.82 4186.90 3986.58 6290.42 14466.38 12696.09 1593.87 6277.73 8084.01 6795.66 3863.39 9797.94 4387.40 4893.55 5295.42 52
Skip Steuart: Steuart Systems R&D Blog.
v192192075.63 22673.49 23182.06 20179.38 31366.35 12791.07 19789.48 23771.98 18067.99 23481.22 27549.16 24693.90 22366.56 21764.56 28485.92 270
MVP-Stereo77.12 20276.23 19579.79 25181.72 29066.34 12889.29 24390.88 18970.56 22362.01 29182.88 24949.34 24194.13 20765.55 23293.80 4578.88 344
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
GA-MVS78.33 18576.23 19584.65 12983.65 27266.30 12991.44 17490.14 21576.01 10270.32 20684.02 23942.50 28594.72 18270.98 17677.00 20292.94 153
APDe-MVS87.54 2587.84 2286.65 5996.07 2566.30 12994.84 4693.78 6469.35 23688.39 2596.34 2567.74 5097.66 5890.62 2293.44 5396.01 39
v119275.98 21973.92 22682.15 19479.73 30866.24 13191.22 19089.75 22872.67 16068.49 23181.42 27049.86 23794.27 20267.08 21265.02 27785.95 268
dp75.01 23372.09 24783.76 15189.28 16866.22 13279.96 32789.75 22871.16 21067.80 24177.19 31451.81 21992.54 26250.39 29771.44 23892.51 163
EPNet87.84 2288.38 1786.23 7793.30 7166.05 13395.26 3194.84 2587.09 388.06 2694.53 7766.79 5797.34 7583.89 7891.68 8095.29 62
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
ppachtmachnet_test67.72 29063.70 29979.77 25278.92 32066.04 13488.68 25482.90 33260.11 31255.45 32075.96 32439.19 29590.55 29539.53 34252.55 34082.71 311
v124075.21 23172.98 23581.88 20379.20 31566.00 13590.75 20689.11 25471.63 19967.41 24681.22 27547.36 26093.87 22465.46 23364.72 28285.77 272
baseline283.68 9183.42 8284.48 13587.37 21466.00 13590.06 22595.93 779.71 4869.08 22090.39 16377.92 696.28 12278.91 11981.38 16691.16 191
PCF-MVS73.15 979.29 16377.63 17484.29 14186.06 23465.96 13787.03 27691.10 18069.86 23169.79 21590.64 15657.54 15596.59 11464.37 23982.29 15890.32 199
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
MAR-MVS84.18 8083.43 8086.44 6896.25 2365.93 13894.28 5494.27 5374.41 12279.16 11295.61 4053.99 20098.88 2069.62 19093.26 5694.50 100
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
Fast-Effi-MVS+81.14 13080.01 13584.51 13490.24 14865.86 13994.12 6189.15 25173.81 13775.37 15388.26 19157.26 15694.53 19466.97 21484.92 14093.15 146
AdaColmapbinary78.94 16977.00 18684.76 12496.34 1965.86 13992.66 12687.97 28662.18 29670.56 20192.37 13343.53 28297.35 7464.50 23882.86 15591.05 193
Regformer-187.24 3087.60 2786.15 7995.14 3265.83 14193.95 7295.12 1682.11 2284.25 6195.73 3667.88 4898.35 3385.60 6388.64 11194.26 105
thres20079.66 15678.33 16083.66 15892.54 9465.82 14293.06 10596.31 374.90 11973.30 17088.66 18159.67 13495.61 15147.84 31178.67 18489.56 210
testtj86.62 4386.66 4286.50 6696.95 865.70 14394.41 5193.45 8267.74 25286.19 3996.39 2364.38 8297.91 4687.33 4993.14 5895.90 42
BH-RMVSNet79.46 16277.65 17384.89 12091.68 12065.66 14493.55 9188.09 28372.93 15573.37 16991.12 15146.20 27096.12 12756.28 28085.61 13792.91 154
ZNCC-MVS85.33 6085.08 6186.06 8093.09 8065.65 14593.89 7793.41 8673.75 13879.94 10194.68 7560.61 12398.03 4182.63 8893.72 4894.52 98
thisisatest053081.15 12980.07 13284.39 13788.26 19465.63 14691.40 17894.62 3771.27 20970.93 19989.18 17772.47 3096.04 13265.62 23076.89 20391.49 181
MP-MVS-pluss85.24 6185.13 6085.56 9991.42 12765.59 14791.54 17392.51 12274.56 12180.62 9495.64 3959.15 14197.00 9586.94 5493.80 4594.07 117
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
PHI-MVS86.83 4086.85 4186.78 5493.47 6865.55 14895.39 2995.10 1871.77 19285.69 4796.52 1862.07 10998.77 2186.06 6195.60 1296.03 38
114514_t79.17 16577.67 17283.68 15695.32 3165.53 14992.85 11791.60 15963.49 28367.92 23790.63 15846.65 26395.72 14767.01 21383.54 15389.79 205
ZD-MVS96.63 1165.50 15093.50 8070.74 22085.26 5395.19 5864.92 7797.29 7887.51 4593.01 59
ab-mvs80.18 14678.31 16185.80 9088.44 18765.49 15183.00 30492.67 11471.82 19077.36 13285.01 22654.50 19296.59 11476.35 13675.63 21095.32 60
TSAR-MVS + GP.87.96 1988.37 1886.70 5893.51 6765.32 15295.15 3593.84 6378.17 7385.93 4394.80 7275.80 1398.21 3589.38 2788.78 10896.59 15
GST-MVS84.63 7184.29 7185.66 9792.82 8565.27 15393.04 10793.13 9873.20 14878.89 11494.18 9359.41 13897.85 5081.45 9892.48 6893.86 127
pmmvs473.92 24371.81 25080.25 23979.17 31665.24 15487.43 27387.26 29367.64 25663.46 28083.91 24148.96 24891.53 29062.94 24865.49 27183.96 292
APD-MVScopyleft85.93 5285.99 4985.76 9295.98 2865.21 15593.59 9092.58 12066.54 26386.17 4095.88 3363.83 8997.00 9586.39 5892.94 6095.06 75
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
miper_enhance_ethall78.86 17177.97 16781.54 21088.00 20265.17 15691.41 17689.15 25175.19 11568.79 22683.98 24067.17 5392.82 24872.73 16065.30 27286.62 253
zzz-MVS84.73 6884.47 6785.50 10091.89 11465.16 15791.55 17292.23 12875.32 11280.53 9595.21 5656.06 17797.16 8684.86 7192.55 6694.18 108
MTAPA83.91 8583.38 8485.50 10091.89 11465.16 15781.75 30992.23 12875.32 11280.53 9595.21 5656.06 17797.16 8684.86 7192.55 6694.18 108
GBi-Net75.65 22473.83 22781.10 22288.85 17765.11 15990.01 22790.32 20470.84 21667.04 25080.25 29048.03 25291.54 28759.80 26869.34 24886.64 249
test175.65 22473.83 22781.10 22288.85 17765.11 15990.01 22790.32 20470.84 21667.04 25080.25 29048.03 25291.54 28759.80 26869.34 24886.64 249
FMVSNet172.71 25669.91 26381.10 22283.60 27365.11 15990.01 22790.32 20463.92 28063.56 27980.25 29036.35 31991.54 28754.46 28566.75 26686.64 249
Regformer-385.80 5485.92 5085.46 10294.17 4865.09 16292.95 11295.11 1781.13 3381.68 8195.04 6065.82 6698.32 3483.02 8384.36 14592.97 152
HFP-MVS84.73 6884.40 7085.72 9393.75 6065.01 16393.50 9493.19 9472.19 17579.22 11094.93 6659.04 14297.67 5581.55 9692.21 6994.49 101
#test#84.98 6584.74 6685.72 9393.75 6065.01 16394.09 6293.19 9473.55 14479.22 11094.93 6659.04 14297.67 5582.66 8692.21 6994.49 101
PVSNet73.49 880.05 14978.63 15784.31 14090.92 13764.97 16592.47 13491.05 18579.18 5672.43 18490.51 16037.05 31694.06 21268.06 20386.00 13493.90 126
Anonymous2024052976.84 20674.15 22284.88 12191.02 13464.95 16693.84 8291.09 18153.57 33773.00 17187.42 20435.91 32097.32 7669.14 19672.41 23192.36 165
cl2277.94 19176.78 18881.42 21287.57 20864.93 16790.67 20788.86 26372.45 16767.63 24382.68 25264.07 8592.91 24671.79 17065.30 27286.44 254
our_test_368.29 28664.69 29279.11 26578.92 32064.85 16888.40 26085.06 31260.32 31052.68 32976.12 32340.81 29089.80 30944.25 32655.65 33182.67 314
Regformer-287.00 3787.43 3085.71 9595.14 3264.73 16993.95 7294.95 2381.69 2784.03 6695.73 3667.35 5298.19 3785.40 6588.64 11194.20 107
tpm78.58 18077.03 18483.22 16885.94 23864.56 17083.21 30291.14 17978.31 7073.67 16879.68 29664.01 8692.09 27666.07 22571.26 23993.03 150
Anonymous20240521177.96 19075.33 20685.87 8693.73 6264.52 17194.85 4585.36 31062.52 29476.11 14390.18 16729.43 34297.29 7868.51 20177.24 20195.81 45
tfpn200view978.79 17477.43 17782.88 17392.21 10264.49 17292.05 14896.28 473.48 14571.75 19288.26 19160.07 12995.32 16445.16 32177.58 19388.83 213
thres40078.68 17777.43 17782.43 18392.21 10264.49 17292.05 14896.28 473.48 14571.75 19288.26 19160.07 12995.32 16445.16 32177.58 19387.48 234
VPA-MVSNet79.03 16678.00 16682.11 20085.95 23664.48 17493.22 10294.66 3575.05 11774.04 16584.95 22852.17 21793.52 23174.90 14867.04 26488.32 226
CDS-MVSNet81.43 12580.74 12383.52 15986.26 23164.45 17592.09 14590.65 19675.83 10473.95 16689.81 17363.97 8792.91 24671.27 17582.82 15693.20 145
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
v14876.19 21274.47 21781.36 21380.05 30764.44 17691.75 16690.23 21273.68 14167.13 24980.84 28055.92 18093.86 22668.95 19861.73 30685.76 274
XXY-MVS77.94 19176.44 19282.43 18382.60 28364.44 17692.01 15091.83 14973.59 14370.00 21185.82 22054.43 19694.76 17969.63 18968.02 25988.10 229
MIMVSNet71.64 26168.44 27181.23 21681.97 28964.44 17673.05 34288.80 26469.67 23364.59 26774.79 32932.79 32987.82 32353.99 28776.35 20791.42 183
miper_ehance_all_eth77.60 19576.44 19281.09 22585.70 24164.41 17990.65 20888.64 27172.31 17167.37 24882.52 25364.77 7892.64 26070.67 18065.30 27286.24 258
Patchmtry67.53 29363.93 29878.34 27082.12 28764.38 18068.72 35084.00 32348.23 35259.24 30272.41 33657.82 15289.27 31146.10 31856.68 33081.36 324
ACMMPR84.37 7384.06 7285.28 10993.56 6564.37 18193.50 9493.15 9772.19 17578.85 11994.86 7056.69 16997.45 6781.55 9692.20 7194.02 120
BH-w/o80.49 14279.30 15084.05 14790.83 14064.36 18293.60 8989.42 24074.35 12469.09 21990.15 16855.23 18595.61 15164.61 23786.43 13392.17 174
region2R84.36 7484.03 7385.36 10793.54 6664.31 18393.43 9792.95 10572.16 17878.86 11894.84 7156.97 16497.53 6581.38 10092.11 7394.24 106
112181.25 12880.05 13384.87 12292.30 9864.31 18387.91 26591.39 16759.44 31679.94 10192.91 11857.09 15897.01 9366.63 21592.81 6393.29 141
新几何184.73 12592.32 9764.28 18591.46 16559.56 31579.77 10492.90 11956.95 16596.57 11663.40 24492.91 6193.34 138
原ACMM184.42 13693.21 7564.27 18693.40 8765.39 27179.51 10792.50 12758.11 15096.69 11365.27 23593.96 4292.32 167
MP-MVScopyleft85.02 6384.97 6385.17 11392.60 9364.27 18693.24 10092.27 12773.13 15079.63 10694.43 8061.90 11097.17 8585.00 6892.56 6594.06 118
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
c3_l76.83 20775.47 20580.93 22985.02 25164.18 18890.39 21588.11 28271.66 19466.65 25581.64 26563.58 9692.56 26169.31 19462.86 29486.04 265
PGM-MVS83.25 9682.70 9784.92 11992.81 8764.07 18990.44 21292.20 13371.28 20877.23 13494.43 8055.17 18797.31 7779.33 11491.38 8693.37 137
MSP-MVS90.38 491.87 185.88 8592.83 8364.03 19093.06 10594.33 5182.19 2193.65 396.15 3085.89 197.19 8491.02 2097.75 196.43 26
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
CP-MVS83.71 9083.40 8384.65 12993.14 7863.84 19194.59 4892.28 12671.03 21377.41 13194.92 6855.21 18696.19 12481.32 10190.70 9493.91 124
OPM-MVS79.00 16778.09 16481.73 20583.52 27463.83 19291.64 17090.30 20876.36 10071.97 18989.93 17246.30 26995.17 16975.10 14277.70 19186.19 260
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
XVS83.87 8683.47 7885.05 11493.22 7363.78 19392.92 11592.66 11573.99 13078.18 12394.31 8955.25 18397.41 7079.16 11591.58 8293.95 122
X-MVStestdata76.86 20374.13 22385.05 11493.22 7363.78 19392.92 11592.66 11573.99 13078.18 12310.19 37655.25 18397.41 7079.16 11591.58 8293.95 122
TESTMET0.1,182.41 10981.98 10783.72 15588.08 19863.74 19592.70 12293.77 6679.30 5377.61 12987.57 20258.19 14994.08 21073.91 15286.68 13093.33 140
BH-untuned78.68 17777.08 18383.48 16389.84 15563.74 19592.70 12288.59 27271.57 20166.83 25388.65 18251.75 22095.39 16259.03 27184.77 14291.32 188
MSDG69.54 27565.73 28480.96 22785.11 25063.71 19784.19 29183.28 33056.95 32754.50 32284.03 23831.50 33596.03 13342.87 33169.13 25183.14 306
patch_mono-289.71 1090.99 585.85 8896.04 2663.70 19895.04 4195.19 1386.74 591.53 1195.15 5973.86 2197.58 6393.38 392.00 7596.28 32
thres600view778.00 18876.66 19082.03 20291.93 11163.69 19991.30 18796.33 172.43 16870.46 20387.89 19860.31 12494.92 17742.64 33376.64 20487.48 234
PatchT69.11 27865.37 28980.32 23582.07 28863.68 20067.96 35587.62 28950.86 34469.37 21665.18 35257.09 15888.53 31641.59 33666.60 26788.74 217
HQP5-MVS63.66 201
HQP-MVS81.14 13080.64 12682.64 17987.54 20963.66 20194.06 6491.70 15579.80 4574.18 16090.30 16551.63 22295.61 15177.63 12978.90 18188.63 218
EI-MVSNet-Vis-set83.77 8883.67 7584.06 14692.79 8863.56 20391.76 16494.81 2879.65 4977.87 12594.09 9463.35 9897.90 4779.35 11379.36 17790.74 195
TAMVS80.37 14379.45 14683.13 17085.14 24863.37 20491.23 18990.76 19174.81 12072.65 17788.49 18360.63 12292.95 24169.41 19281.95 16293.08 149
Anonymous2023121173.08 24870.39 25981.13 22090.62 14263.33 20591.40 17890.06 22051.84 34164.46 27280.67 28336.49 31894.07 21163.83 24264.17 28685.98 267
ACMH63.93 1768.62 28264.81 29080.03 24485.22 24663.25 20687.72 26884.66 31760.83 30651.57 33479.43 29927.29 34794.96 17441.76 33464.84 27981.88 321
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
Regformer-485.45 5885.69 5584.73 12594.17 4863.23 20792.95 11294.83 2680.66 3881.29 8495.04 6065.12 7298.08 4082.74 8584.36 14592.88 156
thres100view90078.37 18377.01 18582.46 18291.89 11463.21 20891.19 19396.33 172.28 17370.45 20487.89 19860.31 12495.32 16445.16 32177.58 19388.83 213
EI-MVSNet-UG-set83.14 9882.96 9083.67 15792.28 9963.19 20991.38 18294.68 3479.22 5576.60 14093.75 10062.64 10497.76 5378.07 12678.01 18890.05 203
test250683.29 9482.92 9284.37 13888.39 19063.18 21092.01 15091.35 16977.66 8278.49 12291.42 14664.58 8095.09 17073.19 15389.23 10494.85 82
NP-MVS87.41 21263.04 21190.30 165
eth_miper_zixun_eth75.96 22074.40 21880.66 23184.66 25563.02 21289.28 24488.27 27971.88 18565.73 25881.65 26459.45 13692.81 24968.13 20260.53 31586.14 261
D2MVS73.80 24472.02 24879.15 26479.15 31762.97 21388.58 25690.07 21772.94 15459.22 30378.30 30342.31 28792.70 25565.59 23172.00 23281.79 322
IterMVS72.65 25870.83 25678.09 27582.17 28662.96 21487.64 27186.28 30071.56 20260.44 29778.85 30145.42 27586.66 33263.30 24661.83 30384.65 289
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
EG-PatchMatch MVS68.55 28365.41 28877.96 27678.69 32462.93 21589.86 23289.17 24960.55 30750.27 33977.73 30922.60 35694.06 21247.18 31472.65 22876.88 351
DP-MVS69.90 27366.48 27980.14 24195.36 3062.93 21589.56 23676.11 34750.27 34657.69 31585.23 22439.68 29395.73 14333.35 35771.05 24081.78 323
mPP-MVS82.96 10282.44 10284.52 13392.83 8362.92 21792.76 11891.85 14871.52 20375.61 15094.24 9153.48 20896.99 9878.97 11890.73 9393.64 133
ACMMPcopyleft81.49 12480.67 12583.93 14991.71 11962.90 21892.13 14292.22 13271.79 19171.68 19493.49 10750.32 23196.96 10178.47 12384.22 15291.93 176
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
HPM-MVScopyleft83.25 9682.95 9184.17 14492.25 10062.88 21990.91 19891.86 14670.30 22577.12 13593.96 9856.75 16796.28 12282.04 9291.34 8893.34 138
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
MVS_111021_LR82.02 11781.52 11283.51 16188.42 18862.88 21989.77 23488.93 26076.78 9575.55 15193.10 11050.31 23295.38 16383.82 7987.02 12392.26 173
IterMVS-LS76.49 21075.18 20880.43 23484.49 25962.74 22190.64 20988.80 26472.40 16965.16 26381.72 26360.98 11992.27 27267.74 20664.65 28386.29 256
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
EI-MVSNet78.97 16878.22 16381.25 21585.33 24462.73 22289.53 23993.21 9172.39 17072.14 18790.13 16960.99 11894.72 18267.73 20772.49 22986.29 256
CHOSEN 280x42077.35 19976.95 18778.55 26987.07 21962.68 22369.71 34982.95 33168.80 24471.48 19587.27 20766.03 6384.00 34376.47 13582.81 15788.95 212
HQP_MVS80.34 14479.75 14082.12 19786.94 22062.42 22493.13 10391.31 17078.81 6572.53 18089.14 17950.66 22995.55 15776.74 13278.53 18688.39 224
plane_prior62.42 22493.85 7979.38 5178.80 183
EIA-MVS84.84 6784.88 6484.69 12891.30 13062.36 22693.85 7992.04 13779.45 5079.33 10994.28 9062.42 10696.35 12180.05 10891.25 8995.38 55
plane_prior687.23 21562.32 22750.66 229
PVSNet_068.08 1571.81 26068.32 27382.27 18984.68 25462.31 22888.68 25490.31 20775.84 10357.93 31480.65 28437.85 30794.19 20669.94 18629.05 36890.31 200
WR-MVS76.76 20875.74 20279.82 25084.60 25662.27 22992.60 12892.51 12276.06 10167.87 24085.34 22356.76 16690.24 30262.20 25463.69 29186.94 246
NR-MVSNet76.05 21774.59 21380.44 23382.96 28162.18 23090.83 20391.73 15277.12 9060.96 29586.35 21259.28 14091.80 28160.74 26161.34 31087.35 239
GeoE78.90 17077.43 17783.29 16688.95 17662.02 23192.31 13686.23 30270.24 22671.34 19789.27 17654.43 19694.04 21563.31 24580.81 17193.81 129
h-mvs3383.01 10082.56 10084.35 13989.34 16562.02 23192.72 12093.76 6781.45 2882.73 7492.25 13660.11 12797.13 8887.69 4362.96 29293.91 124
ECVR-MVScopyleft81.29 12780.38 13184.01 14888.39 19061.96 23392.56 13386.79 29677.66 8276.63 13991.42 14646.34 26795.24 16874.36 15189.23 10494.85 82
plane_prior361.95 23479.09 5972.53 180
Vis-MVSNetpermissive80.92 13679.98 13783.74 15288.48 18561.80 23593.44 9688.26 28173.96 13377.73 12691.76 14249.94 23694.76 17965.84 22790.37 9894.65 92
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
FOURS193.95 5361.77 23693.96 6991.92 14262.14 29786.57 35
cl____76.07 21474.67 21080.28 23785.15 24761.76 23790.12 22388.73 26771.16 21065.43 26081.57 26761.15 11692.95 24166.54 21862.17 29986.13 263
DIV-MVS_self_test76.07 21474.67 21080.28 23785.14 24861.75 23890.12 22388.73 26771.16 21065.42 26181.60 26661.15 11692.94 24566.54 21862.16 30186.14 261
CNLPA74.31 23972.30 24580.32 23591.49 12661.66 23990.85 20280.72 33956.67 33063.85 27790.64 15646.75 26290.84 29453.79 28875.99 20988.47 223
test22289.77 15661.60 24089.55 23789.42 24056.83 32977.28 13392.43 13152.76 21291.14 9193.09 148
plane_prior786.94 22061.51 241
UGNet79.87 15378.68 15683.45 16489.96 15261.51 24192.13 14290.79 19076.83 9478.85 11986.33 21438.16 30296.17 12567.93 20587.17 12292.67 158
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
tttt051779.50 16078.53 15982.41 18687.22 21661.43 24389.75 23594.76 3069.29 23767.91 23888.06 19672.92 2695.63 14962.91 24973.90 21990.16 201
DROMVSNet84.53 7285.04 6283.01 17189.34 16561.37 24494.42 5091.09 18177.91 7783.24 7094.20 9258.37 14795.40 16185.35 6691.41 8592.27 172
test-LLR80.10 14879.56 14381.72 20686.93 22261.17 24592.70 12291.54 16071.51 20475.62 14886.94 20853.83 20192.38 26772.21 16684.76 14391.60 179
test-mter79.96 15179.38 14981.72 20686.93 22261.17 24592.70 12291.54 16073.85 13575.62 14886.94 20849.84 23892.38 26772.21 16684.76 14391.60 179
SR-MVS82.81 10382.58 9983.50 16293.35 6961.16 24792.23 14091.28 17364.48 27681.27 8595.28 5053.71 20495.86 13782.87 8488.77 10993.49 136
KD-MVS_2432*160069.03 27966.37 28177.01 28985.56 24261.06 24881.44 31390.25 21067.27 25858.00 31276.53 31954.49 19387.63 32648.04 30835.77 36382.34 316
miper_refine_blended69.03 27966.37 28177.01 28985.56 24261.06 24881.44 31390.25 21067.27 25858.00 31276.53 31954.49 19387.63 32648.04 30835.77 36382.34 316
tfpnnormal70.10 27067.36 27678.32 27183.45 27560.97 25088.85 25192.77 11064.85 27560.83 29678.53 30243.52 28393.48 23231.73 36361.70 30780.52 332
TR-MVS78.77 17577.37 18282.95 17290.49 14360.88 25193.67 8690.07 21770.08 22874.51 15891.37 14945.69 27295.70 14860.12 26680.32 17292.29 168
UniMVSNet (Re)77.58 19676.78 18879.98 24584.11 26660.80 25291.76 16493.17 9676.56 9869.93 21484.78 23163.32 9992.36 26964.89 23662.51 29786.78 248
1112_ss80.56 14079.83 13982.77 17588.65 18260.78 25392.29 13788.36 27672.58 16272.46 18394.95 6465.09 7393.42 23466.38 22177.71 19094.10 114
v7n71.31 26468.65 26979.28 26076.40 33960.77 25486.71 28189.45 23864.17 27958.77 30878.24 30444.59 27993.54 23057.76 27461.75 30583.52 298
test111180.84 13780.02 13483.33 16587.87 20560.76 25592.62 12786.86 29577.86 7875.73 14691.39 14846.35 26694.70 18572.79 15988.68 11094.52 98
test_040264.54 30661.09 31274.92 30384.10 26760.75 25687.95 26479.71 34352.03 34052.41 33077.20 31332.21 33391.64 28423.14 36661.03 31172.36 358
旧先验191.94 11060.74 25791.50 16394.36 8265.23 7191.84 7794.55 94
ADS-MVSNet266.90 29663.44 30177.26 28688.06 19960.70 25868.01 35375.56 35057.57 32264.48 27069.87 34538.68 29684.10 34040.87 33867.89 26086.97 244
IterMVS-SCA-FT71.55 26369.97 26176.32 29581.48 29160.67 25987.64 27185.99 30566.17 26659.50 30178.88 30045.53 27383.65 34562.58 25261.93 30284.63 290
TranMVSNet+NR-MVSNet75.86 22174.52 21679.89 24882.44 28460.64 26091.37 18391.37 16876.63 9667.65 24286.21 21652.37 21691.55 28661.84 25660.81 31387.48 234
pmmvs573.35 24771.52 25278.86 26678.64 32560.61 26191.08 19586.90 29467.69 25363.32 28183.64 24244.33 28090.53 29662.04 25566.02 27085.46 278
MDA-MVSNet_test_wron63.78 31160.16 31474.64 30478.15 32960.41 26283.49 29684.03 32156.17 33339.17 36271.59 34237.22 31283.24 35042.87 33148.73 34680.26 335
Test_1112_low_res79.56 15978.60 15882.43 18388.24 19660.39 26392.09 14587.99 28572.10 17971.84 19087.42 20464.62 7993.04 23865.80 22877.30 19993.85 128
UniMVSNet_NR-MVSNet78.15 18777.55 17579.98 24584.46 26060.26 26492.25 13893.20 9377.50 8668.88 22486.61 21066.10 6292.13 27466.38 22162.55 29587.54 232
DU-MVS76.86 20375.84 20079.91 24782.96 28160.26 26491.26 18891.54 16076.46 9968.88 22486.35 21256.16 17492.13 27466.38 22162.55 29587.35 239
EPP-MVSNet81.79 12181.52 11282.61 18088.77 18160.21 26693.02 10993.66 7368.52 24872.90 17490.39 16372.19 3294.96 17474.93 14679.29 17992.67 158
YYNet163.76 31260.14 31574.62 30578.06 33060.19 26783.46 29883.99 32556.18 33239.25 36171.56 34337.18 31383.34 34842.90 33048.70 34780.32 334
IS-MVSNet80.14 14779.41 14782.33 18787.91 20360.08 26891.97 15488.27 27972.90 15771.44 19691.73 14461.44 11593.66 22962.47 25386.53 13193.24 143
HPM-MVS_fast80.25 14579.55 14582.33 18791.55 12459.95 26991.32 18689.16 25065.23 27474.71 15793.07 11447.81 25795.74 14274.87 14988.23 11391.31 189
MDTV_nov1_ep13_2view59.90 27080.13 32467.65 25572.79 17554.33 19859.83 26792.58 161
CPTT-MVS79.59 15879.16 15380.89 23091.54 12559.80 27192.10 14488.54 27460.42 30872.96 17293.28 10948.27 25192.80 25078.89 12086.50 13290.06 202
ACMP71.68 1075.58 22774.23 22179.62 25584.97 25259.64 27290.80 20489.07 25670.39 22462.95 28487.30 20638.28 30193.87 22472.89 15671.45 23785.36 280
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
pmmvs-eth3d65.53 30362.32 30875.19 30169.39 35959.59 27382.80 30583.43 32762.52 29451.30 33672.49 33432.86 32887.16 33155.32 28350.73 34378.83 345
sss82.71 10682.38 10383.73 15489.25 16959.58 27492.24 13994.89 2477.96 7579.86 10392.38 13256.70 16897.05 9077.26 13180.86 17094.55 94
Fast-Effi-MVS+-dtu75.04 23273.37 23280.07 24380.86 29559.52 27591.20 19285.38 30971.90 18365.20 26284.84 23041.46 28892.97 24066.50 22072.96 22487.73 231
FIs79.47 16179.41 14779.67 25385.95 23659.40 27691.68 16893.94 6178.06 7468.96 22388.28 18966.61 5991.77 28266.20 22474.99 21287.82 230
LPG-MVS_test75.82 22274.58 21479.56 25784.31 26359.37 27790.44 21289.73 23169.49 23464.86 26488.42 18438.65 29894.30 20072.56 16272.76 22685.01 285
LGP-MVS_train79.56 25784.31 26359.37 27789.73 23169.49 23464.86 26488.42 18438.65 29894.30 20072.56 16272.76 22685.01 285
CS-MVS-test86.14 4987.01 3783.52 15992.63 9259.36 27995.49 2691.92 14280.09 4285.46 5095.53 4361.82 11395.77 14186.77 5693.37 5495.41 53
Baseline_NR-MVSNet73.99 24272.83 23777.48 28180.78 29659.29 28091.79 16184.55 31868.85 24368.99 22280.70 28156.16 17492.04 27762.67 25160.98 31281.11 325
PS-MVSNAJss77.26 20076.31 19480.13 24280.64 29959.16 28190.63 21191.06 18472.80 15868.58 23084.57 23453.55 20593.96 22072.97 15571.96 23387.27 242
mvsmamba76.85 20575.71 20380.25 23983.07 28059.16 28191.44 17480.64 34076.84 9367.95 23686.33 21446.17 27194.24 20576.06 13772.92 22587.36 238
TransMVSNet (Re)70.07 27167.66 27577.31 28580.62 30059.13 28391.78 16384.94 31465.97 26760.08 29980.44 28650.78 22891.87 27948.84 30445.46 35280.94 327
CS-MVS85.80 5486.65 4383.27 16792.00 10858.92 28495.31 3091.86 14679.97 4384.82 5695.40 4462.26 10795.51 16086.11 6092.08 7495.37 56
Patchmatch-test65.86 30160.94 31380.62 23283.75 27058.83 28558.91 36375.26 35244.50 35950.95 33877.09 31558.81 14587.90 32235.13 35364.03 28795.12 73
APD-MVS_3200maxsize81.64 12381.32 11482.59 18192.36 9658.74 28691.39 18091.01 18763.35 28479.72 10594.62 7651.82 21896.14 12679.71 10987.93 11792.89 155
PLCcopyleft68.80 1475.23 23073.68 22979.86 24992.93 8258.68 28790.64 20988.30 27760.90 30564.43 27390.53 15942.38 28694.57 18956.52 27876.54 20586.33 255
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
SR-MVS-dyc-post81.06 13380.70 12482.15 19492.02 10558.56 28890.90 19990.45 19862.76 29078.89 11494.46 7851.26 22595.61 15178.77 12186.77 12792.28 169
RE-MVS-def80.48 12992.02 10558.56 28890.90 19990.45 19862.76 29078.89 11494.46 7849.30 24278.77 12186.77 12792.28 169
abl_679.82 15479.20 15281.70 20889.85 15458.34 29088.47 25890.07 21762.56 29377.71 12793.08 11247.65 25996.78 10977.94 12785.45 13889.99 204
miper_lstm_enhance73.05 24971.73 25177.03 28883.80 26958.32 29181.76 30888.88 26169.80 23261.01 29478.23 30557.19 15787.51 32865.34 23459.53 32085.27 283
DeepPCF-MVS81.17 189.72 991.38 384.72 12793.00 8158.16 29296.72 794.41 4586.50 690.25 1897.83 175.46 1498.67 2392.78 595.49 1397.32 6
bld_raw_dy_0_6471.59 26269.71 26677.22 28777.82 33358.12 29387.71 26973.66 35468.01 25061.90 29384.29 23733.68 32688.43 31769.91 18770.43 24285.11 284
FMVSNet568.04 28865.66 28675.18 30284.43 26157.89 29483.54 29586.26 30161.83 30253.64 32773.30 33337.15 31485.08 33748.99 30361.77 30482.56 315
ACMM69.62 1374.34 23872.73 23979.17 26284.25 26557.87 29590.36 21689.93 22363.17 28765.64 25986.04 21937.79 30894.10 20865.89 22671.52 23685.55 277
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
OpenMVS_ROBcopyleft61.12 1866.39 29862.92 30476.80 29376.51 33857.77 29689.22 24583.41 32855.48 33453.86 32677.84 30826.28 35093.95 22134.90 35468.76 25378.68 346
UA-Net80.02 15079.65 14181.11 22189.33 16757.72 29786.33 28389.00 25977.44 8781.01 9089.15 17859.33 13995.90 13661.01 26084.28 15089.73 207
testdata81.34 21489.02 17457.72 29789.84 22658.65 32085.32 5294.09 9457.03 16093.28 23569.34 19390.56 9793.03 150
RRT_MVS74.44 23772.97 23678.84 26782.36 28557.66 29989.83 23388.79 26670.61 22264.58 26884.89 22939.24 29492.65 25970.11 18566.34 26986.21 259
pm-mvs172.89 25271.09 25578.26 27379.10 31957.62 30090.80 20489.30 24367.66 25462.91 28581.78 26249.11 24792.95 24160.29 26558.89 32384.22 291
XVG-OURS74.25 24072.46 24479.63 25478.45 32757.59 30180.33 32087.39 29063.86 28168.76 22789.62 17540.50 29191.72 28369.00 19774.25 21489.58 208
test117281.90 11981.83 10982.13 19693.23 7257.52 30291.61 17190.98 18864.32 27880.20 9995.00 6251.26 22595.61 15181.73 9588.13 11593.26 142
hse-mvs281.12 13281.11 11981.16 21886.52 22657.48 30389.40 24291.16 17681.45 2882.73 7490.49 16160.11 12794.58 18887.69 4360.41 31891.41 184
AUN-MVS78.37 18377.43 17781.17 21786.60 22557.45 30489.46 24191.16 17674.11 12874.40 15990.49 16155.52 18294.57 18974.73 15060.43 31791.48 182
OMC-MVS78.67 17977.91 17080.95 22885.76 24057.40 30588.49 25788.67 26973.85 13572.43 18492.10 13749.29 24394.55 19272.73 16077.89 18990.91 194
XVG-OURS-SEG-HR74.70 23673.08 23479.57 25678.25 32857.33 30680.49 31887.32 29163.22 28668.76 22790.12 17144.89 27891.59 28570.55 18274.09 21689.79 205
mvs-test178.74 17677.95 16881.14 21983.22 27657.13 30793.96 6987.78 28775.42 10872.68 17690.80 15545.08 27694.54 19375.08 14377.49 19691.74 178
ACMH+65.35 1667.65 29164.55 29376.96 29184.59 25757.10 30888.08 26280.79 33858.59 32153.00 32881.09 27926.63 34992.95 24146.51 31561.69 30880.82 328
MDA-MVSNet-bldmvs61.54 31857.70 32273.05 31679.53 31157.00 30983.08 30381.23 33657.57 32234.91 36472.45 33532.79 32986.26 33535.81 35141.95 35675.89 353
UniMVSNet_ETH3D72.74 25570.53 25879.36 25978.62 32656.64 31085.01 28789.20 24763.77 28264.84 26684.44 23534.05 32591.86 28063.94 24170.89 24189.57 209
MVS-HIRNet60.25 32155.55 32774.35 30784.37 26256.57 31171.64 34474.11 35334.44 36445.54 35342.24 36731.11 33889.81 30740.36 34176.10 20876.67 352
PMMVS81.98 11882.04 10681.78 20489.76 15756.17 31291.13 19490.69 19277.96 7580.09 10093.57 10546.33 26894.99 17381.41 9987.46 12094.17 110
LS3D69.17 27766.40 28077.50 28091.92 11256.12 31385.12 28680.37 34146.96 35356.50 31987.51 20337.25 31193.71 22732.52 36279.40 17682.68 313
F-COLMAP70.66 26668.44 27177.32 28486.37 23055.91 31488.00 26386.32 29956.94 32857.28 31788.07 19533.58 32792.49 26451.02 29568.37 25683.55 296
CL-MVSNet_self_test69.92 27268.09 27475.41 30073.25 34855.90 31590.05 22689.90 22469.96 22961.96 29276.54 31851.05 22787.64 32549.51 30250.59 34482.70 312
PatchMatch-RL72.06 25969.98 26078.28 27289.51 16355.70 31683.49 29683.39 32961.24 30463.72 27882.76 25034.77 32393.03 23953.37 29177.59 19286.12 264
FC-MVSNet-test77.99 18978.08 16577.70 27784.89 25355.51 31790.27 21993.75 7076.87 9166.80 25487.59 20165.71 6890.23 30362.89 25073.94 21787.37 237
USDC67.43 29564.51 29476.19 29677.94 33155.29 31878.38 33285.00 31373.17 14948.36 34580.37 28721.23 35892.48 26552.15 29364.02 28880.81 329
Effi-MVS+-dtu76.14 21375.28 20778.72 26883.22 27655.17 31989.87 23187.78 28775.42 10867.98 23581.43 26945.08 27692.52 26375.08 14371.63 23488.48 221
jajsoiax73.05 24971.51 25377.67 27877.46 33454.83 32088.81 25290.04 22169.13 24162.85 28683.51 24431.16 33792.75 25270.83 17769.80 24485.43 279
anonymousdsp71.14 26569.37 26776.45 29472.95 34954.71 32184.19 29188.88 26161.92 30062.15 29079.77 29538.14 30391.44 29268.90 19967.45 26383.21 304
mvs_tets72.71 25671.11 25477.52 27977.41 33554.52 32288.45 25989.76 22768.76 24662.70 28783.26 24729.49 34192.71 25370.51 18369.62 24685.34 281
JIA-IIPM66.06 30062.45 30776.88 29281.42 29354.45 32357.49 36488.67 26949.36 34863.86 27646.86 36356.06 17790.25 29949.53 30168.83 25285.95 268
Patchmatch-RL test68.17 28764.49 29579.19 26171.22 35353.93 32470.07 34871.54 36069.22 23856.79 31862.89 35556.58 17188.61 31369.53 19152.61 33995.03 79
test_djsdf73.76 24672.56 24277.39 28377.00 33753.93 32489.07 24990.69 19265.80 26863.92 27582.03 25943.14 28492.67 25672.83 15768.53 25585.57 276
pmmvs667.57 29264.76 29176.00 29872.82 35153.37 32688.71 25386.78 29753.19 33857.58 31678.03 30735.33 32292.41 26655.56 28254.88 33582.21 319
TinyColmap60.32 32056.42 32672.00 32778.78 32253.18 32778.36 33375.64 34952.30 33941.59 36075.82 32614.76 36688.35 31835.84 35054.71 33674.46 355
COLMAP_ROBcopyleft57.96 2062.98 31459.65 31672.98 31781.44 29253.00 32883.75 29475.53 35148.34 35148.81 34481.40 27124.14 35290.30 29832.95 35960.52 31675.65 354
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
MVS_030468.99 28167.23 27874.28 30980.36 30252.54 32987.01 27886.36 29859.89 31466.22 25673.56 33224.25 35188.03 32157.34 27770.11 24382.27 318
XVG-ACMP-BASELINE68.04 28865.53 28775.56 29974.06 34752.37 33078.43 33185.88 30662.03 29858.91 30781.21 27720.38 36091.15 29360.69 26268.18 25783.16 305
Vis-MVSNet (Re-imp)79.24 16479.57 14278.24 27488.46 18652.29 33190.41 21489.12 25374.24 12669.13 21891.91 14065.77 6790.09 30659.00 27288.09 11692.33 166
TAPA-MVS70.22 1274.94 23473.53 23079.17 26290.40 14552.07 33289.19 24789.61 23562.69 29270.07 20992.67 12548.89 24994.32 19938.26 34779.97 17391.12 192
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
UnsupCasMVSNet_bld61.60 31757.71 32173.29 31568.73 36051.64 33378.61 33089.05 25757.20 32646.11 34861.96 35728.70 34488.60 31450.08 29938.90 36079.63 339
LTVRE_ROB59.60 1966.27 29963.54 30074.45 30684.00 26851.55 33467.08 35683.53 32658.78 31954.94 32180.31 28834.54 32493.23 23640.64 34068.03 25878.58 347
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
WR-MVS_H70.59 26769.94 26272.53 32081.03 29451.43 33587.35 27492.03 13867.38 25760.23 29880.70 28155.84 18183.45 34746.33 31758.58 32582.72 310
AllTest61.66 31658.06 32072.46 32179.57 30951.42 33680.17 32368.61 36351.25 34245.88 34981.23 27319.86 36186.58 33338.98 34457.01 32879.39 340
TestCases72.46 32179.57 30951.42 33668.61 36351.25 34245.88 34981.23 27319.86 36186.58 33338.98 34457.01 32879.39 340
CP-MVSNet70.50 26869.91 26372.26 32380.71 29751.00 33887.23 27590.30 20867.84 25159.64 30082.69 25150.23 23482.30 35551.28 29459.28 32183.46 300
pmmvs355.51 32651.50 33167.53 33857.90 37050.93 33980.37 31973.66 35440.63 36244.15 35764.75 35416.30 36378.97 36144.77 32540.98 35972.69 356
PS-CasMVS69.86 27469.13 26872.07 32680.35 30350.57 34087.02 27789.75 22867.27 25859.19 30482.28 25546.58 26482.24 35650.69 29659.02 32283.39 302
CMPMVSbinary48.56 2166.77 29764.41 29673.84 31170.65 35650.31 34177.79 33685.73 30845.54 35644.76 35482.14 25835.40 32190.14 30563.18 24774.54 21381.07 326
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
UnsupCasMVSNet_eth65.79 30263.10 30273.88 31070.71 35550.29 34281.09 31589.88 22572.58 16249.25 34374.77 33032.57 33187.43 32955.96 28141.04 35883.90 294
SixPastTwentyTwo64.92 30461.78 31174.34 30878.74 32349.76 34383.42 29979.51 34462.86 28950.27 33977.35 31030.92 33990.49 29745.89 31947.06 34982.78 307
PEN-MVS69.46 27668.56 27072.17 32579.27 31449.71 34486.90 27989.24 24567.24 26159.08 30582.51 25447.23 26183.54 34648.42 30657.12 32683.25 303
EPNet_dtu78.80 17379.26 15177.43 28288.06 19949.71 34491.96 15591.95 14177.67 8176.56 14191.28 15058.51 14690.20 30456.37 27980.95 16992.39 164
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
K. test v363.09 31359.61 31773.53 31376.26 34049.38 34683.27 30077.15 34664.35 27747.77 34772.32 33828.73 34387.79 32449.93 30036.69 36283.41 301
DTE-MVSNet68.46 28567.33 27771.87 32877.94 33149.00 34786.16 28488.58 27366.36 26558.19 30982.21 25746.36 26583.87 34444.97 32455.17 33382.73 309
Anonymous2024052162.09 31559.08 31871.10 32967.19 36148.72 34883.91 29385.23 31150.38 34547.84 34671.22 34420.74 35985.51 33646.47 31658.75 32479.06 343
LCM-MVSNet-Re72.93 25171.84 24976.18 29788.49 18448.02 34980.07 32570.17 36173.96 13352.25 33180.09 29349.98 23588.24 31967.35 20984.23 15192.28 169
test0.0.03 172.76 25472.71 24072.88 31880.25 30547.99 35091.22 19089.45 23871.51 20462.51 28987.66 20053.83 20185.06 33850.16 29867.84 26285.58 275
lessismore_v073.72 31272.93 35047.83 35161.72 37145.86 35173.76 33128.63 34589.81 30747.75 31331.37 36783.53 297
Anonymous2023120667.53 29365.78 28372.79 31974.95 34347.59 35288.23 26187.32 29161.75 30358.07 31177.29 31237.79 30887.29 33042.91 32963.71 29083.48 299
OurMVSNet-221017-064.68 30562.17 30972.21 32476.08 34247.35 35380.67 31781.02 33756.19 33151.60 33379.66 29727.05 34888.56 31553.60 29053.63 33880.71 330
ITE_SJBPF70.43 33174.44 34547.06 35477.32 34560.16 31154.04 32583.53 24323.30 35584.01 34243.07 32861.58 30980.21 337
EGC-MVSNET42.35 33238.09 33555.11 34674.57 34446.62 35571.63 34555.77 3720.04 3770.24 37862.70 35614.24 36774.91 36317.59 36946.06 35143.80 366
TDRefinement55.28 32751.58 33066.39 34159.53 36946.15 35676.23 33872.80 35644.60 35842.49 35976.28 32215.29 36482.39 35433.20 35843.75 35470.62 360
RPSCF64.24 30861.98 31071.01 33076.10 34145.00 35775.83 33975.94 34846.94 35458.96 30684.59 23331.40 33682.00 35747.76 31260.33 31986.04 265
new-patchmatchnet59.30 32456.48 32567.79 33665.86 36344.19 35882.47 30681.77 33459.94 31343.65 35866.20 35127.67 34681.68 35839.34 34341.40 35777.50 350
MIMVSNet160.16 32257.33 32368.67 33469.71 35844.13 35978.92 32984.21 31955.05 33544.63 35571.85 34023.91 35381.54 35932.63 36155.03 33480.35 333
CVMVSNet74.04 24174.27 22073.33 31485.33 24443.94 36089.53 23988.39 27554.33 33670.37 20590.13 16949.17 24584.05 34161.83 25779.36 17791.99 175
PM-MVS59.40 32356.59 32467.84 33563.63 36441.86 36176.76 33763.22 36959.01 31851.07 33772.27 33911.72 36983.25 34961.34 25850.28 34578.39 348
ambc69.61 33261.38 36841.35 36249.07 36785.86 30750.18 34166.40 35010.16 37088.14 32045.73 32044.20 35379.32 342
new_pmnet49.31 33046.44 33357.93 34462.84 36640.74 36368.47 35262.96 37036.48 36335.09 36357.81 35914.97 36572.18 36432.86 36046.44 35060.88 364
testgi64.48 30762.87 30569.31 33371.24 35240.62 36485.49 28579.92 34265.36 27254.18 32483.49 24523.74 35484.55 33941.60 33560.79 31482.77 308
test20.0363.83 31062.65 30667.38 33970.58 35739.94 36586.57 28284.17 32063.29 28551.86 33277.30 31137.09 31582.47 35338.87 34654.13 33779.73 338
KD-MVS_self_test60.87 31958.60 31967.68 33766.13 36239.93 36675.63 34084.70 31657.32 32549.57 34268.45 34829.55 34082.87 35148.09 30747.94 34880.25 336
LF4IMVS54.01 32852.12 32959.69 34362.41 36739.91 36768.59 35168.28 36542.96 36044.55 35675.18 32714.09 36868.39 36641.36 33751.68 34170.78 359
Gipumacopyleft34.91 33731.44 34045.30 35270.99 35439.64 36819.85 37272.56 35720.10 37016.16 37221.47 3735.08 37771.16 36513.07 37143.70 35525.08 370
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
EU-MVSNet64.01 30963.01 30367.02 34074.40 34638.86 36983.27 30086.19 30345.11 35754.27 32381.15 27836.91 31780.01 36048.79 30557.02 32782.19 320
FPMVS45.64 33143.10 33453.23 34951.42 37336.46 37064.97 35771.91 35829.13 36627.53 36661.55 3589.83 37165.01 37016.00 37055.58 33258.22 365
ANet_high40.27 33435.20 33755.47 34534.74 37934.47 37163.84 35971.56 35948.42 35018.80 37041.08 3689.52 37264.45 37120.18 3678.66 37567.49 362
LCM-MVSNet40.54 33335.79 33654.76 34836.92 37830.81 37251.41 36569.02 36222.07 36824.63 36745.37 3654.56 37865.81 36833.67 35634.50 36567.67 361
DSMNet-mixed56.78 32554.44 32863.79 34263.21 36529.44 37364.43 35864.10 36842.12 36151.32 33571.60 34131.76 33475.04 36236.23 34965.20 27686.87 247
PMVScopyleft26.43 2231.84 33828.16 34142.89 35325.87 38127.58 37450.92 36649.78 37521.37 36914.17 37340.81 3692.01 38066.62 3679.61 37338.88 36134.49 369
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
MVEpermissive24.84 2324.35 34019.77 34638.09 35434.56 38026.92 37526.57 37038.87 37811.73 37311.37 37427.44 3701.37 38150.42 37311.41 37214.60 37136.93 367
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
PMMVS237.93 33633.61 33950.92 35046.31 37524.76 37660.55 36250.05 37428.94 36720.93 36847.59 3624.41 37965.13 36925.14 36518.55 37062.87 363
DeepMVS_CXcopyleft34.71 35551.45 37224.73 37728.48 38131.46 36517.49 37152.75 3605.80 37642.60 37618.18 36819.42 36936.81 368
test_method38.59 33535.16 33848.89 35154.33 37121.35 37845.32 36853.71 3737.41 37428.74 36551.62 3618.70 37352.87 37233.73 35532.89 36672.47 357
wuyk23d11.30 34410.95 34712.33 35948.05 37419.89 37925.89 3711.92 3833.58 3753.12 3771.37 3770.64 38215.77 3786.23 3767.77 3761.35 374
E-PMN24.61 33924.00 34326.45 35643.74 37618.44 38060.86 36039.66 37615.11 3719.53 37522.10 3726.52 37546.94 3748.31 37410.14 37213.98 372
EMVS23.76 34123.20 34525.46 35741.52 37716.90 38160.56 36138.79 37914.62 3728.99 37620.24 3757.35 37445.82 3757.25 3759.46 37313.64 373
tmp_tt22.26 34223.75 34417.80 3585.23 38212.06 38235.26 36939.48 3772.82 37618.94 36944.20 36622.23 35724.64 37736.30 3489.31 37416.69 371
N_pmnet50.55 32949.11 33254.88 34777.17 3364.02 38384.36 2902.00 38248.59 34945.86 35168.82 34732.22 33282.80 35231.58 36451.38 34277.81 349
test1236.92 3479.21 3500.08 3600.03 3840.05 38481.65 3110.01 3850.02 3790.14 3800.85 3790.03 3830.02 3790.12 3780.00 3780.16 375
testmvs7.23 3469.62 3490.06 3610.04 3830.02 38584.98 2880.02 3840.03 3780.18 3791.21 3780.01 3840.02 3790.14 3770.01 3770.13 376
test_blank0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3780.00 377
uanet_test0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3780.00 377
DCPMVS0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3780.00 377
cdsmvs_eth3d_5k19.86 34326.47 3420.00 3620.00 3850.00 3860.00 37393.45 820.00 3800.00 38195.27 5249.56 2390.00 3810.00 3790.00 3780.00 377
pcd_1.5k_mvsjas4.46 3485.95 3510.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 38053.55 2050.00 3810.00 3790.00 3780.00 377
sosnet-low-res0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3780.00 377
sosnet0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3780.00 377
uncertanet0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3780.00 377
Regformer0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3780.00 377
ab-mvs-re7.91 34510.55 3480.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 38194.95 640.00 3850.00 3810.00 3790.00 3780.00 377
uanet0.00 3490.00 3520.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 3800.00 3850.00 3810.00 3790.00 3780.00 377
PC_three_145280.91 3694.07 296.83 1483.57 499.12 595.70 297.42 497.55 4
eth-test20.00 385
eth-test0.00 385
test_241102_TWO94.41 4571.65 19592.07 697.21 574.58 1799.11 692.34 895.36 1496.59 15
9.1487.63 2593.86 5594.41 5194.18 5572.76 15986.21 3896.51 1966.64 5897.88 4990.08 2594.04 41
test_0728_THIRD72.48 16590.55 1696.93 1076.24 1199.08 1191.53 1694.99 1796.43 26
GSMVS94.68 89
sam_mvs157.85 15194.68 89
sam_mvs54.91 190
MTGPAbinary92.23 128
test_post178.95 32820.70 37453.05 21091.50 29160.43 263
test_post23.01 37156.49 17292.67 256
patchmatchnet-post67.62 34957.62 15490.25 299
MTMP93.77 8432.52 380
test9_res89.41 2694.96 1895.29 62
agg_prior286.41 5794.75 3095.33 58
test_prior295.10 3775.40 11085.25 5495.61 4067.94 4587.47 4694.77 25
旧先验292.00 15359.37 31787.54 2993.47 23375.39 140
新几何291.41 176
无先验92.71 12192.61 11962.03 29897.01 9366.63 21593.97 121
原ACMM292.01 150
testdata296.09 12861.26 259
segment_acmp65.94 64
testdata189.21 24677.55 85
plane_prior591.31 17095.55 15776.74 13278.53 18688.39 224
plane_prior489.14 179
plane_prior293.13 10378.81 65
plane_prior187.15 217
n20.00 386
nn0.00 386
door-mid66.01 367
test1193.01 102
door66.57 366
HQP-NCC87.54 20994.06 6479.80 4574.18 160
ACMP_Plane87.54 20994.06 6479.80 4574.18 160
BP-MVS77.63 129
HQP4-MVS74.18 16095.61 15188.63 218
HQP3-MVS91.70 15578.90 181
HQP2-MVS51.63 222
ACMMP++_ref71.63 234
ACMMP++69.72 245
Test By Simon54.21 199