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 bysorted bysort bysort bysort bysort bysort bysort bysort by
LCM-MVSNet95.70 196.40 193.61 298.67 185.39 3495.54 597.36 196.97 199.04 199.05 196.61 195.92 1485.07 5299.27 199.54 1
FOURS196.08 1287.41 1396.19 295.83 492.95 296.57 2
DTE-MVSNet89.98 4791.91 1584.21 15796.51 857.84 28988.93 8292.84 9391.92 396.16 396.23 1886.95 5095.99 1079.05 11998.57 1598.80 6
PEN-MVS90.03 4591.88 1684.48 14996.57 658.88 28188.95 8093.19 7791.62 496.01 696.16 2087.02 4995.60 3578.69 12298.72 998.97 3
PS-CasMVS90.06 4391.92 1384.47 15096.56 758.83 28489.04 7992.74 9691.40 596.12 496.06 2287.23 4795.57 3679.42 11798.74 699.00 2
CP-MVSNet89.27 6190.91 4384.37 15196.34 958.61 28688.66 8992.06 11090.78 695.67 795.17 4081.80 11295.54 4179.00 12098.69 1098.95 4
LS3D90.60 3390.34 5091.38 2789.03 18684.23 4793.58 694.68 1990.65 790.33 9193.95 9684.50 7295.37 5380.87 9895.50 14694.53 79
TDRefinement93.52 293.39 393.88 195.94 1590.26 395.70 496.46 290.58 892.86 4796.29 1688.16 3594.17 9686.07 4398.48 1897.22 17
COLMAP_ROBcopyleft83.01 391.97 1191.95 1292.04 1293.68 6786.15 2393.37 1095.10 1490.28 992.11 6095.03 4389.75 2194.93 6979.95 10898.27 2795.04 63
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
WR-MVS_H89.91 5091.31 3185.71 12996.32 1062.39 24289.54 7193.31 7090.21 1095.57 995.66 2981.42 11695.90 1580.94 9798.80 398.84 5
test117292.40 792.41 792.37 694.68 4589.04 691.98 3193.62 5790.14 1193.63 3694.16 8288.83 2495.51 4487.11 3097.54 7292.54 158
abl_693.02 493.16 492.60 494.73 4488.99 793.26 1294.19 3089.11 1294.43 1695.27 3791.86 395.09 6487.54 1898.02 4093.71 113
3Dnovator+83.92 289.97 4989.66 5690.92 3691.27 14181.66 6491.25 3994.13 3688.89 1388.83 12594.26 7577.55 15295.86 2184.88 5595.87 13495.24 57
LTVRE_ROB86.10 193.04 393.44 291.82 2393.73 6685.72 3396.79 195.51 888.86 1495.63 896.99 884.81 7093.16 13991.10 197.53 7396.58 29
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
UniMVSNet_ETH3D89.12 6490.72 4684.31 15597.00 264.33 22089.67 6688.38 19788.84 1594.29 1997.57 390.48 1491.26 19372.57 19397.65 6297.34 14
SR-MVS-dyc-post92.41 692.41 792.39 594.13 5588.95 892.87 1494.16 3188.75 1693.79 2994.43 6488.83 2495.51 4487.16 2897.60 6692.73 148
RE-MVS-def92.61 594.13 5588.95 892.87 1494.16 3188.75 1693.79 2994.43 6490.64 1187.16 2897.60 6692.73 148
test_040288.65 7089.58 5985.88 12592.55 9372.22 15484.01 15989.44 18288.63 1894.38 1895.77 2586.38 6093.59 12179.84 10995.21 15591.82 189
PMVScopyleft80.48 690.08 4190.66 4788.34 8496.71 392.97 190.31 5289.57 18088.51 1990.11 9395.12 4290.98 788.92 25177.55 14197.07 8683.13 316
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
UA-Net91.49 1791.53 2291.39 2694.98 3682.95 5693.52 792.79 9488.22 2088.53 13097.64 283.45 8494.55 8486.02 4698.60 1396.67 26
SR-MVS92.23 892.34 991.91 1794.89 3987.85 1192.51 2493.87 4988.20 2193.24 4194.02 8890.15 1795.67 3386.82 3297.34 7992.19 177
DP-MVS88.60 7189.01 6687.36 9691.30 13977.50 10287.55 10192.97 8887.95 2289.62 11092.87 12284.56 7193.89 10777.65 13996.62 10090.70 214
ACMH+77.89 1190.73 3091.50 2388.44 8193.00 8276.26 12189.65 6795.55 787.72 2393.89 2794.94 4591.62 493.44 12978.35 12698.76 495.61 47
APD-MVS_3200maxsize92.05 1092.24 1091.48 2493.02 8185.17 3692.47 2695.05 1587.65 2493.21 4294.39 7090.09 1895.08 6586.67 3397.60 6694.18 92
Anonymous2023121188.40 7289.62 5884.73 14590.46 16365.27 21188.86 8393.02 8687.15 2593.05 4397.10 682.28 9992.02 17376.70 14997.99 4296.88 23
gg-mvs-nofinetune68.96 30869.11 30468.52 32776.12 34745.32 35983.59 17455.88 37086.68 2664.62 35797.01 730.36 37183.97 30944.78 35582.94 33076.26 350
test_one_060193.85 6373.27 13694.11 3786.57 2793.47 4094.64 5788.42 27
v7n90.13 4090.96 4187.65 9391.95 11371.06 16789.99 5893.05 8286.53 2894.29 1996.27 1782.69 9194.08 10086.25 4097.63 6397.82 8
VDDNet84.35 13785.39 12181.25 21495.13 3359.32 27485.42 13781.11 27686.41 2987.41 14896.21 1973.61 19290.61 21666.33 24296.85 9293.81 110
IS-MVSNet86.66 9486.82 9886.17 12092.05 11166.87 20091.21 4088.64 19386.30 3089.60 11392.59 13069.22 22694.91 7073.89 17697.89 5196.72 24
Anonymous2024052986.20 10387.13 8983.42 17690.19 16764.55 21884.55 14890.71 14785.85 3189.94 10095.24 3982.13 10190.40 22069.19 22196.40 11095.31 54
DVP-MVS++90.07 4291.09 3587.00 9991.55 13272.64 14296.19 294.10 3885.33 3293.49 3894.64 5781.12 12095.88 1687.41 2195.94 13092.48 160
test_0728_THIRD85.33 3293.75 3194.65 5487.44 4595.78 2787.41 2198.21 3092.98 139
HPM-MVS_fast92.50 592.54 692.37 695.93 1685.81 3292.99 1394.23 2685.21 3492.51 5495.13 4190.65 1095.34 5488.06 998.15 3595.95 40
XVS91.54 1591.36 2692.08 1095.64 2486.25 2192.64 1993.33 6785.07 3589.99 9794.03 8786.57 5695.80 2487.35 2397.62 6494.20 90
X-MVStestdata85.04 12282.70 16692.08 1095.64 2486.25 2192.64 1993.33 6785.07 3589.99 9716.05 37286.57 5695.80 2487.35 2397.62 6494.20 90
TranMVSNet+NR-MVSNet87.86 8088.76 7385.18 13794.02 5864.13 22184.38 15391.29 13284.88 3792.06 6293.84 9986.45 5893.73 11373.22 18498.66 1197.69 9
DPE-MVScopyleft90.53 3591.08 3688.88 6893.38 7378.65 8889.15 7894.05 4084.68 3893.90 2594.11 8588.13 3696.30 384.51 6097.81 5491.70 192
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
Gipumacopyleft84.44 13586.33 10178.78 25184.20 27373.57 13389.55 6990.44 15484.24 3984.38 20794.89 4676.35 17080.40 32576.14 15596.80 9682.36 324
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
zzz-MVS91.27 2291.26 3391.29 2996.59 486.29 1988.94 8191.81 11984.07 4092.00 6394.40 6886.63 5495.28 5788.59 598.31 2492.30 169
MTAPA91.52 1691.60 2091.29 2996.59 486.29 1992.02 3091.81 11984.07 4092.00 6394.40 6886.63 5495.28 5788.59 598.31 2492.30 169
K. test v385.14 11884.73 13186.37 11091.13 14769.63 17785.45 13676.68 30284.06 4292.44 5696.99 862.03 26294.65 7780.58 10393.24 20694.83 71
ANet_high83.17 16685.68 11675.65 29281.24 30145.26 36079.94 24692.91 8983.83 4391.33 7596.88 1080.25 13185.92 29068.89 22495.89 13395.76 42
SED-MVS90.46 3791.64 1986.93 10094.18 5072.65 14090.47 5093.69 5483.77 4494.11 2394.27 7290.28 1595.84 2286.03 4497.92 4892.29 171
test_241102_TWO93.71 5383.77 4493.49 3894.27 7289.27 2295.84 2286.03 4497.82 5392.04 180
test_241102_ONE94.18 5072.65 14093.69 5483.62 4694.11 2393.78 10390.28 1595.50 47
DVP-MVScopyleft90.06 4391.32 3086.29 11394.16 5372.56 14690.54 4691.01 14083.61 4793.75 3194.65 5489.76 1995.78 2786.42 3497.97 4590.55 220
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
test072694.16 5372.56 14690.63 4593.90 4683.61 4793.75 3194.49 6189.76 19
pmmvs686.52 9688.06 7881.90 20492.22 10562.28 24584.66 14689.15 18683.54 4989.85 10297.32 488.08 3886.80 27770.43 21097.30 8196.62 27
testtj89.51 5789.48 6089.59 5892.26 10280.80 6990.14 5593.54 6183.37 5090.57 8892.55 13384.99 6896.15 581.26 9296.61 10191.83 188
Regformer-286.74 9386.08 10788.73 7384.18 27479.20 8283.52 17589.33 18483.33 5189.92 10185.07 28483.23 8793.16 13983.39 6992.72 22193.83 105
APDe-MVS91.22 2491.92 1389.14 6592.97 8378.04 9292.84 1694.14 3583.33 5193.90 2595.73 2688.77 2696.41 187.60 1697.98 4492.98 139
CP-MVS91.67 1491.58 2191.96 1495.29 3287.62 1293.38 993.36 6583.16 5391.06 7994.00 8988.26 3295.71 3187.28 2698.39 2192.55 157
mPP-MVS91.69 1391.47 2492.37 696.04 1388.48 1092.72 1892.60 9983.09 5491.54 7094.25 7687.67 4395.51 4487.21 2798.11 3693.12 134
UniMVSNet_NR-MVSNet86.84 9187.06 9186.17 12092.86 8767.02 19882.55 20491.56 12383.08 5590.92 8191.82 15378.25 14593.99 10274.16 17298.35 2297.49 13
LFMVS80.15 21280.56 19678.89 24989.19 18455.93 30285.22 13973.78 32282.96 5684.28 21392.72 12757.38 29290.07 23463.80 26095.75 14090.68 215
HPM-MVScopyleft92.13 992.20 1191.91 1795.58 2684.67 4393.51 894.85 1682.88 5791.77 6893.94 9790.55 1395.73 3088.50 798.23 2995.33 53
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
Regformer-486.41 9785.71 11588.52 7784.27 27077.57 10184.07 15688.00 20582.82 5889.84 10385.48 27282.06 10392.77 15283.83 6791.04 24895.22 60
SteuartSystems-ACMMP91.16 2691.36 2690.55 4293.91 6180.97 6891.49 3893.48 6382.82 5892.60 5393.97 9088.19 3396.29 487.61 1598.20 3294.39 85
Skip Steuart: Steuart Systems R&D Blog.
MP-MVScopyleft91.14 2790.91 4391.83 2196.18 1186.88 1692.20 2793.03 8582.59 6088.52 13194.37 7186.74 5395.41 5186.32 3798.21 3093.19 132
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
test_part187.15 8887.82 8085.15 13888.88 19063.04 23287.98 9594.85 1682.52 6193.61 3795.73 2667.51 23495.71 3180.48 10598.83 296.69 25
ACMMPcopyleft91.91 1291.87 1792.03 1395.53 2785.91 2793.35 1194.16 3182.52 6192.39 5794.14 8389.15 2395.62 3487.35 2398.24 2894.56 76
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
LPG-MVS_test91.47 1991.68 1890.82 3894.75 4281.69 6190.00 5694.27 2382.35 6393.67 3494.82 4991.18 595.52 4285.36 5098.73 795.23 58
LGP-MVS_train90.82 3894.75 4281.69 6194.27 2382.35 6393.67 3494.82 4991.18 595.52 4285.36 5098.73 795.23 58
Regformer-186.00 10585.50 11987.49 9484.18 27476.90 11383.52 17587.94 20782.18 6589.19 11985.07 28482.28 9991.89 17782.40 8292.72 22193.69 114
HFP-MVS91.30 2191.39 2591.02 3395.43 2984.66 4492.58 2293.29 7381.99 6691.47 7193.96 9388.35 3095.56 3787.74 1197.74 5892.85 143
ACMMPR91.49 1791.35 2891.92 1695.74 2085.88 2992.58 2293.25 7581.99 6691.40 7394.17 8187.51 4495.87 1887.74 1197.76 5693.99 98
region2R91.44 2091.30 3291.87 1995.75 1985.90 2892.63 2193.30 7281.91 6890.88 8494.21 7787.75 4195.87 1887.60 1697.71 6093.83 105
ACMH76.49 1489.34 6091.14 3483.96 16492.50 9570.36 17289.55 6993.84 5081.89 6994.70 1395.44 3490.69 988.31 26183.33 7198.30 2693.20 131
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
DU-MVS86.80 9286.99 9386.21 11893.24 7767.02 19883.16 18992.21 10681.73 7090.92 8191.97 14777.20 15593.99 10274.16 17298.35 2297.61 10
SixPastTwentyTwo87.20 8787.45 8686.45 10992.52 9469.19 18487.84 9988.05 20381.66 7194.64 1496.53 1465.94 24394.75 7483.02 7596.83 9495.41 50
ITE_SJBPF90.11 5090.72 15784.97 3890.30 16181.56 7290.02 9691.20 16882.40 9590.81 20973.58 18194.66 17694.56 76
EPP-MVSNet85.47 11385.04 12686.77 10491.52 13569.37 17891.63 3787.98 20681.51 7387.05 15691.83 15266.18 24295.29 5570.75 20596.89 9095.64 45
SF-MVS90.27 3990.80 4588.68 7692.86 8777.09 11091.19 4195.74 581.38 7492.28 5893.80 10086.89 5194.64 7885.52 4897.51 7494.30 88
WR-MVS83.56 15784.40 14381.06 21993.43 7254.88 31178.67 26785.02 25181.24 7590.74 8591.56 16072.85 20491.08 19968.00 23298.04 3797.23 16
Anonymous20240521180.51 20181.19 19078.49 25788.48 19657.26 29476.63 29382.49 26781.21 7684.30 21292.24 14467.99 23286.24 28662.22 27095.13 15891.98 185
OurMVSNet-221017-090.01 4689.74 5590.83 3793.16 7980.37 7191.91 3493.11 7981.10 7795.32 1097.24 572.94 20394.85 7285.07 5297.78 5597.26 15
NR-MVSNet86.00 10586.22 10485.34 13593.24 7764.56 21782.21 21690.46 15380.99 7888.42 13391.97 14777.56 15193.85 10872.46 19498.65 1297.61 10
GST-MVS90.96 2891.01 3990.82 3895.45 2882.73 5791.75 3693.74 5280.98 7991.38 7493.80 10087.20 4895.80 2487.10 3197.69 6193.93 101
DROMVSNet88.01 7788.32 7687.09 9889.28 18172.03 15690.31 5296.31 380.88 8085.12 19389.67 20884.47 7495.46 4882.56 7996.26 11793.77 111
APD-MVScopyleft89.54 5689.63 5789.26 6392.57 9281.34 6690.19 5493.08 8180.87 8191.13 7793.19 11186.22 6195.97 1282.23 8497.18 8490.45 222
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
Regformer-385.06 12184.67 13686.22 11684.27 27073.43 13484.07 15685.26 24480.77 8288.62 12985.48 27280.56 12890.39 22181.99 8691.04 24894.85 69
EI-MVSNet-Vis-set85.12 11984.53 13986.88 10184.01 27772.76 13983.91 16485.18 24680.44 8388.75 12685.49 27180.08 13291.92 17582.02 8590.85 25795.97 38
UniMVSNet (Re)86.87 8986.98 9486.55 10793.11 8068.48 18883.80 16892.87 9080.37 8489.61 11291.81 15477.72 14994.18 9475.00 16898.53 1696.99 22
CSCG86.26 10086.47 10085.60 13190.87 15374.26 13087.98 9591.85 11680.35 8589.54 11688.01 23279.09 13892.13 16775.51 16195.06 16290.41 223
PGM-MVS91.20 2590.95 4291.93 1595.67 2385.85 3090.00 5693.90 4680.32 8691.74 6994.41 6788.17 3495.98 1186.37 3697.99 4293.96 100
EI-MVSNet-UG-set85.04 12284.44 14186.85 10283.87 28072.52 14883.82 16685.15 24780.27 8788.75 12685.45 27579.95 13491.90 17681.92 8890.80 25896.13 33
XVG-OURS89.18 6288.83 7190.23 4894.28 4886.11 2585.91 12893.60 6080.16 8889.13 12193.44 10883.82 7990.98 20183.86 6695.30 15493.60 120
ZNCC-MVS91.26 2391.34 2991.01 3595.73 2183.05 5492.18 2894.22 2780.14 8991.29 7693.97 9087.93 4095.87 1888.65 497.96 4794.12 95
XVG-OURS-SEG-HR89.59 5589.37 6190.28 4794.47 4685.95 2686.84 11393.91 4580.07 9086.75 16293.26 11093.64 290.93 20384.60 5990.75 25993.97 99
VDD-MVS84.23 14384.58 13883.20 18091.17 14665.16 21383.25 18584.97 25479.79 9187.18 15094.27 7274.77 18190.89 20669.24 21896.54 10493.55 124
CPTT-MVS89.39 5988.98 6890.63 4195.09 3486.95 1592.09 2992.30 10579.74 9287.50 14792.38 13681.42 11693.28 13483.07 7397.24 8291.67 193
XVG-ACMP-BASELINE89.98 4789.84 5490.41 4494.91 3884.50 4689.49 7393.98 4279.68 9392.09 6193.89 9883.80 8093.10 14382.67 7898.04 3793.64 118
TransMVSNet (Re)84.02 14885.74 11478.85 25091.00 15055.20 31082.29 21287.26 21379.65 9488.38 13595.52 3383.00 8886.88 27567.97 23396.60 10294.45 83
AllTest87.97 7987.40 8889.68 5491.59 12683.40 5089.50 7295.44 979.47 9588.00 14093.03 11482.66 9291.47 18570.81 20296.14 12194.16 93
TestCases89.68 5491.59 12683.40 5095.44 979.47 9588.00 14093.03 11482.66 9291.47 18570.81 20296.14 12194.16 93
HQP_MVS87.75 8487.43 8788.70 7593.45 7076.42 11989.45 7493.61 5879.44 9786.55 16792.95 11974.84 17895.22 5980.78 10095.83 13594.46 81
plane_prior289.45 7479.44 97
CS-MVS88.03 7687.67 8389.10 6689.60 17677.89 9690.49 4994.78 1879.37 9984.25 21689.32 21283.84 7894.49 8582.47 8094.93 16794.93 64
RPSCF88.00 7886.93 9591.22 3190.08 16989.30 589.68 6591.11 13779.26 10089.68 10794.81 5282.44 9487.74 26576.54 15188.74 28196.61 28
ACMM79.39 990.65 3190.99 4089.63 5695.03 3583.53 4989.62 6893.35 6679.20 10193.83 2893.60 10790.81 892.96 14685.02 5498.45 1992.41 163
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CNLPA83.55 15883.10 16284.90 14189.34 18083.87 4884.54 15088.77 19079.09 10283.54 22588.66 22574.87 17781.73 31966.84 23992.29 22689.11 243
Baseline_NR-MVSNet84.00 14985.90 11078.29 26291.47 13753.44 31982.29 21287.00 22579.06 10389.55 11495.72 2877.20 15586.14 28872.30 19598.51 1795.28 55
ACMP79.16 1090.54 3490.60 4890.35 4694.36 4780.98 6789.16 7794.05 4079.03 10492.87 4693.74 10490.60 1295.21 6182.87 7698.76 494.87 65
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
SD-MVS88.96 6789.88 5386.22 11691.63 12577.07 11189.82 6293.77 5178.90 10592.88 4592.29 14186.11 6290.22 22586.24 4197.24 8291.36 200
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
Vis-MVSNetpermissive86.86 9086.58 9987.72 9192.09 10977.43 10587.35 10492.09 10978.87 10684.27 21494.05 8678.35 14493.65 11580.54 10491.58 24292.08 179
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
OPM-MVS89.80 5189.97 5289.27 6294.76 4179.86 7586.76 11792.78 9578.78 10792.51 5493.64 10688.13 3693.84 11084.83 5797.55 6994.10 96
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
NCCC87.36 8586.87 9688.83 6992.32 10178.84 8686.58 12191.09 13878.77 10884.85 19990.89 18080.85 12395.29 5581.14 9495.32 15192.34 167
ETV-MVS84.31 13883.91 15285.52 13288.58 19470.40 17184.50 15293.37 6478.76 10984.07 21778.72 34280.39 12995.13 6373.82 17892.98 21491.04 203
Effi-MVS+83.90 15284.01 14983.57 17487.22 22265.61 21086.55 12292.40 10278.64 11081.34 25884.18 29583.65 8292.93 14874.22 17187.87 29192.17 178
FMVSNet184.55 13285.45 12081.85 20690.27 16661.05 25686.83 11488.27 20078.57 11189.66 10995.64 3075.43 17290.68 21369.09 22295.33 15093.82 107
MSP-MVS89.08 6588.16 7791.83 2195.76 1886.14 2492.75 1793.90 4678.43 11289.16 12092.25 14372.03 21596.36 288.21 890.93 25492.98 139
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
API-MVS82.28 17582.61 16981.30 21386.29 24369.79 17388.71 8787.67 20978.42 11382.15 24384.15 29677.98 14691.59 18365.39 25092.75 21882.51 323
HPM-MVS++copyleft88.93 6888.45 7590.38 4594.92 3785.85 3089.70 6391.27 13378.20 11486.69 16592.28 14280.36 13095.06 6686.17 4296.49 10690.22 225
AdaColmapbinary83.66 15583.69 15483.57 17490.05 17272.26 15386.29 12790.00 17278.19 11581.65 25387.16 24883.40 8594.24 9061.69 27694.76 17584.21 298
PAPM_NR83.23 16483.19 16083.33 17790.90 15265.98 20788.19 9390.78 14678.13 11680.87 26287.92 23673.49 19692.42 15870.07 21288.40 28291.60 195
plane_prior376.85 11477.79 11786.55 167
ACMMP_NAP90.65 3191.07 3889.42 6095.93 1679.54 7989.95 5993.68 5677.65 11891.97 6594.89 4688.38 2895.45 4989.27 397.87 5293.27 128
MSDG80.06 21479.99 21080.25 23283.91 27968.04 19277.51 28389.19 18577.65 11881.94 24583.45 30276.37 16986.31 28563.31 26586.59 30186.41 275
CS-MVS-test85.00 12485.28 12284.17 16087.84 20866.12 20687.30 10595.67 677.63 12080.02 27485.85 26881.34 11895.41 5178.18 13193.71 19790.99 204
MIMVSNet183.63 15684.59 13780.74 22494.06 5762.77 23682.72 19884.53 25777.57 12190.34 9095.92 2476.88 16785.83 29261.88 27497.42 7793.62 119
FC-MVSNet-test85.93 10887.05 9282.58 19592.25 10356.44 30085.75 13293.09 8077.33 12291.94 6694.65 5474.78 18093.41 13175.11 16798.58 1497.88 7
CNVR-MVS87.81 8387.68 8288.21 8692.87 8577.30 10885.25 13891.23 13477.31 12387.07 15591.47 16282.94 8994.71 7584.67 5896.27 11692.62 155
CANet83.79 15382.85 16486.63 10586.17 24772.21 15583.76 16991.43 12777.24 12474.39 31787.45 24375.36 17395.42 5077.03 14892.83 21792.25 175
UGNet82.78 16881.64 18286.21 11886.20 24676.24 12286.86 11285.68 23877.07 12573.76 32092.82 12369.64 22391.82 18069.04 22393.69 19890.56 219
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022
#test#90.49 3690.31 5191.02 3395.43 2984.66 4490.65 4493.29 7377.00 12691.47 7193.96 9388.35 3095.56 3784.88 5597.74 5892.85 143
tfpnnormal81.79 18482.95 16378.31 26088.93 18955.40 30680.83 23782.85 26576.81 12785.90 18394.14 8374.58 18486.51 28266.82 24095.68 14393.01 138
v886.22 10286.83 9784.36 15387.82 20962.35 24486.42 12391.33 13176.78 12892.73 5194.48 6273.41 19793.72 11483.10 7295.41 14797.01 21
LCM-MVSNet-Re83.48 15985.06 12578.75 25285.94 25055.75 30580.05 24494.27 2376.47 12996.09 594.54 5983.31 8689.75 24159.95 28894.89 17090.75 212
VPA-MVSNet83.47 16084.73 13179.69 24190.29 16557.52 29281.30 23088.69 19276.29 13087.58 14694.44 6380.60 12787.20 27066.60 24196.82 9594.34 87
MVS_030478.17 22977.23 23780.99 22284.13 27669.07 18781.39 22780.81 27976.28 13167.53 34589.11 21862.87 26086.77 27860.90 28492.01 23587.13 269
EPNet80.37 20578.41 22586.23 11576.75 34073.28 13587.18 10877.45 29776.24 13268.14 34088.93 22165.41 24593.85 10869.47 21696.12 12391.55 197
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
ETH3D-3000-0.188.85 6988.96 6988.52 7791.94 11577.27 10988.71 8795.26 1376.08 13390.66 8792.69 12884.48 7393.83 11183.38 7097.48 7694.47 80
EI-MVSNet82.61 17082.42 17383.20 18083.25 28463.66 22483.50 17885.07 24876.06 13486.55 16785.10 28173.41 19790.25 22278.15 13490.67 26195.68 44
IterMVS-LS84.73 12884.98 12783.96 16487.35 21963.66 22483.25 18589.88 17476.06 13489.62 11092.37 13973.40 19992.52 15778.16 13294.77 17495.69 43
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
OMC-MVS88.19 7487.52 8590.19 4991.94 11581.68 6387.49 10393.17 7876.02 13688.64 12891.22 16684.24 7693.37 13277.97 13797.03 8795.52 48
test_yl78.71 22478.51 22379.32 24684.32 26858.84 28278.38 26985.33 24275.99 13782.49 23686.57 25458.01 28690.02 23662.74 26792.73 21989.10 244
DCV-MVSNet78.71 22478.51 22379.32 24684.32 26858.84 28278.38 26985.33 24275.99 13782.49 23686.57 25458.01 28690.02 23662.74 26792.73 21989.10 244
MSLP-MVS++85.00 12486.03 10881.90 20491.84 12171.56 16586.75 11893.02 8675.95 13987.12 15189.39 21077.98 14689.40 24777.46 14294.78 17284.75 293
plane_prior76.42 11987.15 10975.94 14095.03 163
FIs85.35 11586.27 10382.60 19491.86 11857.31 29385.10 14093.05 8275.83 14191.02 8093.97 9073.57 19392.91 15073.97 17598.02 4097.58 12
MP-MVS-pluss90.81 2991.08 3689.99 5195.97 1479.88 7488.13 9494.51 2175.79 14292.94 4494.96 4488.36 2995.01 6790.70 298.40 2095.09 62
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
thres100view90075.45 25775.05 25776.66 28487.27 22051.88 33281.07 23373.26 32675.68 14383.25 22886.37 25745.54 33688.80 25251.98 33190.99 25089.31 239
3Dnovator80.37 784.80 12784.71 13485.06 14086.36 24074.71 12788.77 8690.00 17275.65 14484.96 19593.17 11274.06 18791.19 19578.28 12891.09 24689.29 241
pm-mvs183.69 15484.95 12879.91 23690.04 17359.66 27182.43 20887.44 21075.52 14587.85 14295.26 3881.25 11985.65 29468.74 22696.04 12494.42 84
test_prior386.31 9986.31 10286.32 11190.59 16071.99 15783.37 18192.85 9175.43 14684.58 20391.57 15881.92 10994.17 9679.54 11496.97 8892.80 145
test_prior283.37 18175.43 14684.58 20391.57 15881.92 10979.54 11496.97 88
v1086.54 9587.10 9084.84 14288.16 20463.28 22986.64 12092.20 10775.42 14892.81 5094.50 6074.05 18894.06 10183.88 6596.28 11497.17 18
SMA-MVScopyleft90.31 3890.48 4989.83 5295.31 3179.52 8090.98 4293.24 7675.37 14992.84 4895.28 3685.58 6696.09 787.92 1097.76 5693.88 103
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
thres600view775.97 25475.35 25677.85 27187.01 23051.84 33380.45 24073.26 32675.20 15083.10 23186.31 26045.54 33689.05 24855.03 31692.24 22892.66 153
9.1489.29 6291.84 12188.80 8595.32 1175.14 15191.07 7892.89 12187.27 4693.78 11283.69 6897.55 69
wuyk23d75.13 26079.30 21462.63 34075.56 34975.18 12680.89 23573.10 32875.06 15294.76 1295.32 3587.73 4252.85 36934.16 36897.11 8559.85 365
RPMNet78.88 22078.28 22680.68 22779.58 32062.64 23882.58 20294.16 3174.80 15375.72 30792.59 13048.69 32195.56 3773.48 18282.91 33183.85 303
TSAR-MVS + GP.83.95 15082.69 16787.72 9189.27 18281.45 6583.72 17081.58 27574.73 15485.66 18586.06 26372.56 20992.69 15475.44 16395.21 15589.01 249
casdiffmvs85.21 11685.85 11183.31 17886.17 24762.77 23683.03 19193.93 4474.69 15588.21 13892.68 12982.29 9891.89 17777.87 13893.75 19695.27 56
Effi-MVS+-dtu85.82 10983.38 15693.14 387.13 22491.15 287.70 10088.42 19574.57 15683.56 22485.65 26978.49 14294.21 9272.04 19692.88 21694.05 97
mvs-test184.55 13282.12 17591.84 2087.13 22489.54 485.05 14188.42 19574.57 15680.60 26482.98 30678.49 14293.98 10472.04 19689.77 26892.00 182
baseline85.20 11785.93 10983.02 18386.30 24262.37 24384.55 14893.96 4374.48 15887.12 15192.03 14682.30 9791.94 17478.39 12494.21 18594.74 72
VNet79.31 21680.27 20176.44 28587.92 20753.95 31575.58 30584.35 25874.39 15982.23 24190.72 18572.84 20584.39 30560.38 28793.98 19190.97 206
BH-RMVSNet80.53 20080.22 20481.49 21287.19 22366.21 20577.79 27886.23 23174.21 16083.69 22088.50 22673.25 20190.75 21063.18 26687.90 29087.52 264
nrg03087.85 8188.49 7485.91 12390.07 17169.73 17587.86 9894.20 2874.04 16192.70 5294.66 5385.88 6591.50 18479.72 11197.32 8096.50 30
Vis-MVSNet (Re-imp)77.82 23477.79 23177.92 26888.82 19151.29 33783.28 18371.97 33574.04 16182.23 24189.78 20657.38 29289.41 24657.22 30195.41 14793.05 136
testdata179.62 25073.95 163
Patchmtry76.56 24977.46 23373.83 30179.37 32546.60 35782.41 20976.90 29973.81 16485.56 18892.38 13648.07 32383.98 30863.36 26495.31 15390.92 208
tttt051781.07 19179.58 21285.52 13288.99 18866.45 20487.03 11175.51 31073.76 16588.32 13790.20 19837.96 36194.16 9979.36 11895.13 15895.93 41
PatchT70.52 29772.76 27963.79 33979.38 32433.53 37377.63 28065.37 35773.61 16671.77 32892.79 12644.38 34875.65 33964.53 25985.37 31182.18 326
DeepC-MVS82.31 489.15 6389.08 6589.37 6193.64 6879.07 8388.54 9094.20 2873.53 16789.71 10694.82 4985.09 6795.77 2984.17 6398.03 3993.26 129
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
VPNet80.25 20881.68 18175.94 29192.46 9647.98 35176.70 29281.67 27473.45 16884.87 19892.82 12374.66 18386.51 28261.66 27796.85 9293.33 125
canonicalmvs85.50 11286.14 10683.58 17387.97 20567.13 19687.55 10194.32 2273.44 16988.47 13287.54 24186.45 5891.06 20075.76 16093.76 19492.54 158
MVS_111021_HR84.63 12984.34 14585.49 13490.18 16875.86 12379.23 26087.13 21773.35 17085.56 18889.34 21183.60 8390.50 21876.64 15094.05 19090.09 230
tfpn200view974.86 26574.23 26476.74 28386.24 24452.12 32979.24 25873.87 32073.34 17181.82 24984.60 29246.02 33088.80 25251.98 33190.99 25089.31 239
thres40075.14 25974.23 26477.86 27086.24 24452.12 32979.24 25873.87 32073.34 17181.82 24984.60 29246.02 33088.80 25251.98 33190.99 25092.66 153
HQP-NCC91.19 14384.77 14273.30 17380.55 267
ACMP_Plane91.19 14384.77 14273.30 17380.55 267
HQP-MVS84.61 13084.06 14886.27 11491.19 14370.66 16984.77 14292.68 9773.30 17380.55 26790.17 20172.10 21194.61 8077.30 14594.47 18093.56 122
alignmvs83.94 15183.98 15083.80 16687.80 21067.88 19384.54 15091.42 12973.27 17688.41 13487.96 23372.33 21090.83 20876.02 15794.11 18892.69 152
F-COLMAP84.97 12683.42 15589.63 5692.39 9783.40 5088.83 8491.92 11573.19 17780.18 27389.15 21777.04 15993.28 13465.82 24892.28 22792.21 176
MDA-MVSNet-bldmvs77.47 23776.90 24179.16 24879.03 32864.59 21566.58 34675.67 30873.15 17888.86 12388.99 22066.94 23781.23 32164.71 25588.22 28891.64 194
PHI-MVS86.38 9885.81 11288.08 8788.44 19877.34 10689.35 7693.05 8273.15 17884.76 20087.70 23878.87 14094.18 9480.67 10296.29 11392.73 148
Fast-Effi-MVS+-dtu82.54 17281.41 18685.90 12485.60 25276.53 11883.07 19089.62 17973.02 18079.11 28283.51 30080.74 12590.24 22468.76 22589.29 27290.94 207
v14882.31 17482.48 17281.81 20985.59 25359.66 27181.47 22686.02 23472.85 18188.05 13990.65 18970.73 22190.91 20575.15 16691.79 23794.87 65
BH-untuned80.96 19380.99 19280.84 22388.55 19568.23 18980.33 24288.46 19472.79 18286.55 16786.76 25374.72 18291.77 18161.79 27588.99 27682.52 322
MVS_111021_LR84.28 14083.76 15385.83 12789.23 18383.07 5380.99 23483.56 26172.71 18386.07 17889.07 21981.75 11386.19 28777.11 14793.36 20288.24 253
EG-PatchMatch MVS84.08 14684.11 14783.98 16392.22 10572.61 14582.20 21887.02 22272.63 18488.86 12391.02 17478.52 14191.11 19873.41 18391.09 24688.21 254
test111178.53 22678.85 21777.56 27392.22 10547.49 35382.61 20069.24 34772.43 18585.28 19194.20 7851.91 31190.07 23465.36 25196.45 10895.11 61
IterMVS-SCA-FT80.64 19979.41 21384.34 15483.93 27869.66 17676.28 29981.09 27772.43 18586.47 17390.19 19960.46 26893.15 14177.45 14386.39 30490.22 225
GBi-Net82.02 18082.07 17681.85 20686.38 23761.05 25686.83 11488.27 20072.43 18586.00 17995.64 3063.78 25290.68 21365.95 24493.34 20393.82 107
test182.02 18082.07 17681.85 20686.38 23761.05 25686.83 11488.27 20072.43 18586.00 17995.64 3063.78 25290.68 21365.95 24493.34 20393.82 107
FMVSNet281.31 18881.61 18380.41 23086.38 23758.75 28583.93 16386.58 22872.43 18587.65 14492.98 11663.78 25290.22 22566.86 23793.92 19292.27 173
GeoE85.45 11485.81 11284.37 15190.08 16967.07 19785.86 13191.39 13072.33 19087.59 14590.25 19784.85 6992.37 16178.00 13591.94 23693.66 115
RRT_MVS83.25 16381.08 19189.74 5380.55 31479.32 8186.41 12486.69 22672.33 19087.00 15791.08 17144.98 34595.55 4084.47 6196.24 11894.36 86
test250674.12 27273.39 27276.28 28891.85 11944.20 36384.06 15848.20 37572.30 19281.90 24694.20 7827.22 37689.77 23964.81 25496.02 12594.87 65
ECVR-MVScopyleft78.44 22778.63 22177.88 26991.85 11948.95 34783.68 17269.91 34572.30 19284.26 21594.20 7851.89 31289.82 23863.58 26196.02 12594.87 65
v2v48284.09 14584.24 14683.62 17287.13 22461.40 25082.71 19989.71 17672.19 19489.55 11491.41 16370.70 22293.20 13681.02 9593.76 19496.25 31
ETH3D cwj APD-0.1687.83 8287.62 8488.47 7991.21 14278.20 9087.26 10694.54 2072.05 19588.89 12292.31 14083.86 7794.24 9081.59 9196.87 9192.97 142
DP-MVS Recon84.05 14783.22 15886.52 10891.73 12475.27 12583.23 18792.40 10272.04 19682.04 24488.33 22877.91 14893.95 10566.17 24395.12 16090.34 224
MG-MVS80.32 20780.94 19378.47 25888.18 20252.62 32682.29 21285.01 25272.01 19779.24 28192.54 13469.36 22593.36 13370.65 20789.19 27589.45 235
FPMVS72.29 28772.00 28673.14 30488.63 19385.00 3774.65 31467.39 34971.94 19877.80 29287.66 23950.48 31875.83 33849.95 33779.51 34358.58 367
MVSFormer82.23 17681.57 18584.19 15985.54 25469.26 18191.98 3190.08 17071.54 19976.23 30185.07 28458.69 28394.27 8786.26 3888.77 27989.03 247
test_djsdf89.62 5489.01 6691.45 2592.36 9882.98 5591.98 3190.08 17071.54 19994.28 2196.54 1381.57 11494.27 8786.26 3896.49 10697.09 19
h-mvs3384.25 14182.76 16588.72 7491.82 12382.60 5884.00 16084.98 25371.27 20186.70 16390.55 19163.04 25893.92 10678.26 12994.20 18689.63 232
hse-mvs283.47 16081.81 18088.47 7991.03 14982.27 5982.61 20083.69 25971.27 20186.70 16386.05 26463.04 25892.41 15978.26 12993.62 20190.71 213
TinyColmap81.25 18982.34 17477.99 26785.33 25660.68 26382.32 21188.33 19871.26 20386.97 15892.22 14577.10 15886.98 27462.37 26995.17 15786.31 277
ZD-MVS92.22 10580.48 7091.85 11671.22 20490.38 8992.98 11686.06 6396.11 681.99 8696.75 97
MVS_Test82.47 17383.22 15880.22 23382.62 29157.75 29182.54 20591.96 11471.16 20582.89 23392.52 13577.41 15390.50 21880.04 10787.84 29292.40 164
DELS-MVS81.44 18781.25 18782.03 20284.27 27062.87 23576.47 29792.49 10170.97 20681.64 25483.83 29775.03 17592.70 15374.29 17092.22 23090.51 221
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
xxxxxxxxxxxxxcwj89.04 6689.13 6488.79 7293.75 6477.44 10386.31 12595.27 1270.80 20792.28 5893.80 10086.89 5194.64 7885.52 4897.51 7494.30 88
save fliter93.75 6477.44 10386.31 12589.72 17570.80 207
PS-MVSNAJss88.31 7387.90 7989.56 5993.31 7577.96 9587.94 9791.97 11370.73 20994.19 2296.67 1176.94 16194.57 8283.07 7396.28 11496.15 32
DeepC-MVS_fast80.27 886.23 10185.65 11787.96 9091.30 13976.92 11287.19 10791.99 11270.56 21084.96 19590.69 18680.01 13395.14 6278.37 12595.78 13991.82 189
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
EIA-MVS82.19 17781.23 18985.10 13987.95 20669.17 18583.22 18893.33 6770.42 21178.58 28579.77 33977.29 15494.20 9371.51 19988.96 27791.93 186
test20.0373.75 27574.59 26171.22 31481.11 30351.12 33970.15 33472.10 33470.42 21180.28 27291.50 16164.21 24974.72 34246.96 35194.58 17887.82 263
JIA-IIPM69.41 30666.64 31877.70 27273.19 36171.24 16675.67 30365.56 35670.42 21165.18 35292.97 11833.64 36883.06 31253.52 32369.61 36678.79 347
v114484.54 13484.72 13384.00 16287.67 21362.55 24082.97 19390.93 14370.32 21489.80 10490.99 17573.50 19493.48 12781.69 9094.65 17795.97 38
DeepPCF-MVS81.24 587.28 8686.21 10590.49 4391.48 13684.90 3983.41 18092.38 10470.25 21589.35 11890.68 18782.85 9094.57 8279.55 11395.95 12992.00 182
KD-MVS_self_test81.93 18383.14 16178.30 26184.75 26152.75 32380.37 24189.42 18370.24 21690.26 9293.39 10974.55 18586.77 27868.61 22896.64 9995.38 51
thres20072.34 28671.55 29174.70 29883.48 28151.60 33475.02 31073.71 32370.14 21778.56 28680.57 33046.20 32888.20 26246.99 35089.29 27284.32 297
mvs_tets89.78 5289.27 6391.30 2893.51 6984.79 4189.89 6190.63 15070.00 21894.55 1596.67 1187.94 3993.59 12184.27 6295.97 12795.52 48
anonymousdsp89.73 5388.88 7092.27 989.82 17586.67 1790.51 4890.20 16769.87 21995.06 1196.14 2184.28 7593.07 14487.68 1396.34 11297.09 19
PM-MVS80.20 21079.00 21683.78 16888.17 20386.66 1881.31 22866.81 35569.64 22088.33 13690.19 19964.58 24683.63 31171.99 19890.03 26681.06 342
V4283.47 16083.37 15783.75 16983.16 28663.33 22881.31 22890.23 16669.51 22190.91 8390.81 18374.16 18692.29 16580.06 10690.22 26595.62 46
jajsoiax89.41 5888.81 7291.19 3293.38 7384.72 4289.70 6390.29 16469.27 22294.39 1796.38 1586.02 6493.52 12583.96 6495.92 13295.34 52
TAPA-MVS77.73 1285.71 11184.83 13088.37 8388.78 19279.72 7687.15 10993.50 6269.17 22385.80 18489.56 20980.76 12492.13 16773.21 18995.51 14593.25 130
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
CANet_DTU77.81 23577.05 23880.09 23581.37 30059.90 26983.26 18488.29 19969.16 22467.83 34383.72 29860.93 26589.47 24369.22 22089.70 26990.88 209
v119284.57 13184.69 13584.21 15787.75 21162.88 23483.02 19291.43 12769.08 22589.98 9990.89 18072.70 20793.62 12082.41 8194.97 16696.13 33
FMVSNet378.80 22278.55 22279.57 24382.89 29056.89 29881.76 22085.77 23769.04 22686.00 17990.44 19351.75 31390.09 23365.95 24493.34 20391.72 191
ab-mvs79.67 21580.56 19676.99 27788.48 19656.93 29684.70 14586.06 23368.95 22780.78 26393.08 11375.30 17484.62 30356.78 30290.90 25589.43 237
thisisatest053079.07 21877.33 23684.26 15687.13 22464.58 21683.66 17375.95 30568.86 22885.22 19287.36 24538.10 35993.57 12475.47 16294.28 18494.62 73
Anonymous2024052180.18 21181.25 18776.95 27883.15 28760.84 26182.46 20785.99 23568.76 22986.78 16093.73 10559.13 28077.44 33273.71 17997.55 6992.56 156
GA-MVS75.83 25574.61 25979.48 24581.87 29459.25 27573.42 32182.88 26468.68 23079.75 27581.80 32050.62 31789.46 24466.85 23885.64 30989.72 231
c3_l81.64 18581.59 18481.79 21080.86 30759.15 27878.61 26890.18 16868.36 23187.20 14987.11 25069.39 22491.62 18278.16 13294.43 18294.60 75
CLD-MVS83.18 16582.64 16884.79 14389.05 18567.82 19477.93 27592.52 10068.33 23285.07 19481.54 32382.06 10392.96 14669.35 21797.91 5093.57 121
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
CL-MVSNet_self_test76.81 24577.38 23575.12 29586.90 23251.34 33573.20 32380.63 28168.30 23381.80 25188.40 22766.92 23880.90 32255.35 31394.90 16993.12 134
PLCcopyleft73.85 1682.09 17980.31 20087.45 9590.86 15480.29 7285.88 13090.65 14968.17 23476.32 30086.33 25873.12 20292.61 15661.40 28090.02 26789.44 236
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
Fast-Effi-MVS+81.04 19280.57 19582.46 19987.50 21763.22 23078.37 27189.63 17868.01 23581.87 24782.08 31882.31 9692.65 15567.10 23688.30 28791.51 198
LF4IMVS82.75 16981.93 17985.19 13682.08 29280.15 7385.53 13588.76 19168.01 23585.58 18787.75 23771.80 21686.85 27674.02 17493.87 19388.58 252
QAPM82.59 17182.59 17082.58 19586.44 23566.69 20289.94 6090.36 15767.97 23784.94 19792.58 13272.71 20692.18 16670.63 20887.73 29388.85 250
v192192084.23 14384.37 14483.79 16787.64 21561.71 24882.91 19591.20 13567.94 23890.06 9490.34 19472.04 21493.59 12182.32 8394.91 16896.07 35
v124084.30 13984.51 14083.65 17187.65 21461.26 25382.85 19691.54 12467.94 23890.68 8690.65 18971.71 21793.64 11682.84 7794.78 17296.07 35
TSAR-MVS + MP.88.14 7587.82 8089.09 6795.72 2276.74 11592.49 2591.19 13667.85 24086.63 16694.84 4879.58 13695.96 1387.62 1494.50 17994.56 76
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
v14419284.24 14284.41 14283.71 17087.59 21661.57 24982.95 19491.03 13967.82 24189.80 10490.49 19273.28 20093.51 12681.88 8994.89 17096.04 37
RRT_test8_iter0578.08 23177.52 23279.75 23980.84 30852.54 32780.61 23888.96 18867.77 24284.62 20289.29 21333.89 36692.10 17077.59 14094.15 18794.62 73
DIV-MVS_self_test80.43 20280.23 20281.02 22079.99 31759.25 27577.07 28887.02 22267.38 24386.19 17489.22 21463.09 25690.16 22776.32 15295.80 13793.66 115
cl____80.42 20380.23 20281.02 22079.99 31759.25 27577.07 28887.02 22267.37 24486.18 17689.21 21563.08 25790.16 22776.31 15395.80 13793.65 117
eth_miper_zixun_eth80.84 19580.22 20482.71 19281.41 29960.98 25977.81 27790.14 16967.31 24586.95 15987.24 24764.26 24892.31 16375.23 16591.61 24094.85 69
EMVS61.10 33160.81 33261.99 34265.96 37355.86 30353.10 36458.97 36767.06 24656.89 36963.33 36640.98 35467.03 35754.79 31786.18 30663.08 362
OpenMVScopyleft76.72 1381.98 18282.00 17881.93 20384.42 26668.22 19088.50 9189.48 18166.92 24781.80 25191.86 14972.59 20890.16 22771.19 20191.25 24587.40 266
testgi72.36 28574.61 25965.59 33480.56 31342.82 36768.29 33973.35 32566.87 24881.84 24889.93 20472.08 21366.92 35846.05 35392.54 22387.01 271
E-PMN61.59 32861.62 33061.49 34466.81 37255.40 30653.77 36360.34 36566.80 24958.90 36665.50 36540.48 35666.12 36155.72 30886.25 30562.95 363
diffmvs80.40 20480.48 19980.17 23479.02 32960.04 26777.54 28290.28 16566.65 25082.40 23887.33 24673.50 19487.35 26977.98 13689.62 27093.13 133
EPNet_dtu72.87 28271.33 29377.49 27577.72 33460.55 26482.35 21075.79 30666.49 25158.39 36881.06 32653.68 30885.98 28953.55 32292.97 21585.95 280
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
agg_prior185.72 11085.20 12487.28 9791.58 12977.69 9983.69 17190.30 16166.29 25284.32 20991.07 17382.13 10193.18 13781.02 9596.36 11190.98 205
bset_n11_16_dypcd79.19 21777.97 22982.86 19085.81 25166.85 20175.02 31079.31 28766.07 25383.50 22683.37 30555.04 30692.10 17078.63 12394.99 16589.63 232
baseline173.26 27773.54 27072.43 31084.92 25947.79 35279.89 24774.00 31865.93 25478.81 28486.28 26156.36 29781.63 32056.63 30379.04 34887.87 262
CDPH-MVS86.17 10485.54 11888.05 8992.25 10375.45 12483.85 16592.01 11165.91 25586.19 17491.75 15683.77 8194.98 6877.43 14496.71 9893.73 112
cl2278.97 21978.21 22781.24 21677.74 33359.01 27977.46 28587.13 21765.79 25684.32 20985.10 28158.96 28290.88 20775.36 16492.03 23293.84 104
train_agg85.98 10785.28 12288.07 8892.34 9979.70 7783.94 16190.32 15865.79 25684.49 20590.97 17681.93 10793.63 11781.21 9396.54 10490.88 209
test_892.09 10978.87 8583.82 16690.31 16065.79 25684.36 20890.96 17881.93 10793.44 129
miper_ehance_all_eth80.34 20680.04 20981.24 21679.82 31958.95 28077.66 27989.66 17765.75 25985.99 18285.11 28068.29 23191.42 18976.03 15692.03 23293.33 125
BH-w/o76.57 24876.07 24978.10 26586.88 23365.92 20877.63 28086.33 22965.69 26080.89 26179.95 33668.97 22990.74 21153.01 32785.25 31377.62 348
MAR-MVS80.24 20978.74 22084.73 14586.87 23478.18 9185.75 13287.81 20865.67 26177.84 29078.50 34373.79 19190.53 21761.59 27990.87 25685.49 286
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
ETH3 D test640085.09 12084.87 12985.75 12890.80 15569.34 17985.90 12993.31 7065.43 26286.11 17789.95 20380.92 12294.86 7175.90 15895.57 14493.05 136
xiu_mvs_v1_base_debu80.84 19580.14 20682.93 18688.31 19971.73 16079.53 25187.17 21465.43 26279.59 27682.73 31376.94 16190.14 23073.22 18488.33 28386.90 272
xiu_mvs_v1_base80.84 19580.14 20682.93 18688.31 19971.73 16079.53 25187.17 21465.43 26279.59 27682.73 31376.94 16190.14 23073.22 18488.33 28386.90 272
xiu_mvs_v1_base_debi80.84 19580.14 20682.93 18688.31 19971.73 16079.53 25187.17 21465.43 26279.59 27682.73 31376.94 16190.14 23073.22 18488.33 28386.90 272
TEST992.34 9979.70 7783.94 16190.32 15865.41 26684.49 20590.97 17682.03 10593.63 117
TR-MVS76.77 24675.79 25079.72 24086.10 24965.79 20977.14 28683.02 26365.20 26781.40 25682.10 31766.30 24090.73 21255.57 31085.27 31282.65 318
tpmvs70.16 29969.56 30371.96 31274.71 35748.13 34979.63 24975.45 31165.02 26870.26 33481.88 31945.34 34185.68 29358.34 29575.39 35682.08 327
IterMVS76.91 24376.34 24678.64 25480.91 30564.03 22276.30 29879.03 29064.88 26983.11 23089.16 21659.90 27484.46 30468.61 22885.15 31487.42 265
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
AUN-MVS81.18 19078.78 21888.39 8290.93 15182.14 6082.51 20683.67 26064.69 27080.29 27085.91 26751.07 31592.38 16076.29 15493.63 20090.65 217
PatchMatch-RL74.48 26973.22 27478.27 26387.70 21285.26 3575.92 30270.09 34364.34 27176.09 30381.25 32565.87 24478.07 33153.86 32183.82 32571.48 356
miper_lstm_enhance76.45 25176.10 24877.51 27476.72 34160.97 26064.69 34985.04 25063.98 27283.20 22988.22 22956.67 29578.79 33073.22 18493.12 20992.78 147
FMVSNet572.10 28871.69 28873.32 30281.57 29753.02 32276.77 29178.37 29363.31 27376.37 29891.85 15036.68 36378.98 32847.87 34792.45 22487.95 259
IB-MVS62.13 1971.64 29168.97 30579.66 24280.80 31062.26 24673.94 31776.90 29963.27 27468.63 33976.79 35133.83 36791.84 17959.28 29287.26 29684.88 291
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
new-patchmatchnet70.10 30073.37 27360.29 34781.23 30216.95 37759.54 35774.62 31362.93 27580.97 25987.93 23562.83 26171.90 34555.24 31495.01 16492.00 182
PVSNet_Blended_VisFu81.55 18680.49 19884.70 14791.58 12973.24 13784.21 15491.67 12262.86 27680.94 26087.16 24867.27 23692.87 15169.82 21488.94 27887.99 258
原ACMM184.60 14892.81 9074.01 13191.50 12562.59 27782.73 23590.67 18876.53 16894.25 8969.24 21895.69 14285.55 284
PAPR78.84 22178.10 22881.07 21885.17 25760.22 26682.21 21690.57 15262.51 27875.32 31284.61 29174.99 17692.30 16459.48 29188.04 28990.68 215
Patchmatch-test65.91 32067.38 31261.48 34575.51 35043.21 36668.84 33763.79 35962.48 27972.80 32483.42 30344.89 34659.52 36748.27 34686.45 30281.70 330
OpenMVS_ROBcopyleft70.19 1777.77 23677.46 23378.71 25384.39 26761.15 25481.18 23282.52 26662.45 28083.34 22787.37 24466.20 24188.66 25764.69 25685.02 31586.32 276
test-LLR67.21 31266.74 31668.63 32576.45 34455.21 30867.89 34067.14 35262.43 28165.08 35372.39 35843.41 34969.37 34861.00 28184.89 31881.31 335
test0.0.03 164.66 32364.36 32465.57 33575.03 35546.89 35664.69 34961.58 36462.43 28171.18 33277.54 34643.41 34968.47 35340.75 36282.65 33381.35 334
MCST-MVS84.36 13683.93 15185.63 13091.59 12671.58 16483.52 17592.13 10861.82 28383.96 21889.75 20779.93 13593.46 12878.33 12794.34 18391.87 187
SCA73.32 27672.57 28275.58 29381.62 29655.86 30378.89 26371.37 34061.73 28474.93 31583.42 30360.46 26887.01 27158.11 29882.63 33583.88 300
TAMVS78.08 23176.36 24583.23 17990.62 15972.87 13879.08 26180.01 28561.72 28581.35 25786.92 25263.96 25188.78 25550.61 33593.01 21388.04 257
PVSNet_BlendedMVS78.80 22277.84 23081.65 21184.43 26463.41 22679.49 25490.44 15461.70 28675.43 31087.07 25169.11 22791.44 18760.68 28592.24 22890.11 229
mvs_anonymous78.13 23078.76 21976.23 29079.24 32650.31 34478.69 26684.82 25561.60 28783.09 23292.82 12373.89 19087.01 27168.33 23186.41 30391.37 199
PS-MVSNAJ77.04 24276.53 24478.56 25587.09 22961.40 25075.26 30887.13 21761.25 28874.38 31877.22 35076.94 16190.94 20264.63 25784.83 32083.35 311
xiu_mvs_v2_base77.19 24076.75 24278.52 25687.01 23061.30 25275.55 30687.12 22061.24 28974.45 31678.79 34177.20 15590.93 20364.62 25884.80 32183.32 312
KD-MVS_2432*160066.87 31465.81 31970.04 31567.50 37047.49 35362.56 35379.16 28861.21 29077.98 28880.61 32825.29 37882.48 31553.02 32584.92 31680.16 345
miper_refine_blended66.87 31465.81 31970.04 31567.50 37047.49 35362.56 35379.16 28861.21 29077.98 28880.61 32825.29 37882.48 31553.02 32584.92 31680.16 345
CDS-MVSNet77.32 23975.40 25483.06 18289.00 18772.48 14977.90 27682.17 27060.81 29278.94 28383.49 30159.30 27888.76 25654.64 31992.37 22587.93 260
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
MVSTER77.09 24175.70 25281.25 21475.27 35361.08 25577.49 28485.07 24860.78 29386.55 16788.68 22443.14 35190.25 22273.69 18090.67 26192.42 162
XXY-MVS74.44 27176.19 24769.21 32184.61 26252.43 32871.70 32877.18 29860.73 29480.60 26490.96 17875.44 17169.35 35056.13 30688.33 28385.86 282
ET-MVSNet_ETH3D75.28 25872.77 27882.81 19183.03 28968.11 19177.09 28776.51 30360.67 29577.60 29480.52 33138.04 36091.15 19770.78 20490.68 26089.17 242
MVP-Stereo75.81 25673.51 27182.71 19289.35 17973.62 13280.06 24385.20 24560.30 29673.96 31987.94 23457.89 29089.45 24552.02 33074.87 35785.06 290
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
DPM-MVS80.10 21379.18 21582.88 18990.71 15869.74 17478.87 26490.84 14460.29 29775.64 30985.92 26667.28 23593.11 14271.24 20091.79 23785.77 283
MIMVSNet71.09 29471.59 28969.57 32087.23 22150.07 34578.91 26271.83 33660.20 29871.26 33091.76 15555.08 30576.09 33641.06 36187.02 29982.54 321
testdata79.54 24492.87 8572.34 15180.14 28459.91 29985.47 19091.75 15667.96 23385.24 29668.57 23092.18 23181.06 342
UnsupCasMVSNet_eth71.63 29272.30 28569.62 31976.47 34352.70 32570.03 33580.97 27859.18 30079.36 27988.21 23060.50 26769.12 35158.33 29677.62 35287.04 270
PC_three_145258.96 30190.06 9491.33 16480.66 12693.03 14575.78 15995.94 13092.48 160
our_test_371.85 28971.59 28972.62 30880.71 31153.78 31669.72 33671.71 33958.80 30278.03 28780.51 33256.61 29678.84 32962.20 27186.04 30785.23 287
MDA-MVSNet_test_wron70.05 30270.44 29668.88 32373.84 35853.47 31858.93 36167.28 35058.43 30387.09 15485.40 27659.80 27667.25 35659.66 29083.54 32685.92 281
YYNet170.06 30170.44 29668.90 32273.76 35953.42 32058.99 36067.20 35158.42 30487.10 15385.39 27759.82 27567.32 35559.79 28983.50 32785.96 279
ppachtmachnet_test74.73 26874.00 26676.90 28080.71 31156.89 29871.53 32978.42 29258.24 30579.32 28082.92 31057.91 28984.26 30665.60 24991.36 24489.56 234
无先验82.81 19785.62 23958.09 30691.41 19067.95 23484.48 294
miper_enhance_ethall77.83 23376.93 24080.51 22876.15 34658.01 28875.47 30788.82 18958.05 30783.59 22380.69 32764.41 24791.20 19473.16 19092.03 23292.33 168
thisisatest051573.00 28170.52 29580.46 22981.45 29859.90 26973.16 32474.31 31757.86 30876.08 30477.78 34537.60 36292.12 16965.00 25291.45 24389.35 238
Patchmatch-RL test74.48 26973.68 26876.89 28184.83 26066.54 20372.29 32669.16 34857.70 30986.76 16186.33 25845.79 33582.59 31469.63 21590.65 26381.54 333
PatchmatchNetpermissive69.71 30568.83 30672.33 31177.66 33553.60 31779.29 25669.99 34457.66 31072.53 32582.93 30946.45 32780.08 32760.91 28372.09 36083.31 313
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
D2MVS76.84 24475.67 25380.34 23180.48 31562.16 24773.50 32084.80 25657.61 31182.24 24087.54 24151.31 31487.65 26670.40 21193.19 20891.23 201
baseline269.77 30466.89 31478.41 25979.51 32258.09 28776.23 30069.57 34657.50 31264.82 35677.45 34846.02 33088.44 25853.08 32477.83 35088.70 251
PVSNet_Blended76.49 25075.40 25479.76 23884.43 26463.41 22675.14 30990.44 15457.36 31375.43 31078.30 34469.11 22791.44 18760.68 28587.70 29484.42 296
PCF-MVS74.62 1582.15 17880.92 19485.84 12689.43 17872.30 15280.53 23991.82 11857.36 31387.81 14389.92 20577.67 15093.63 11758.69 29395.08 16191.58 196
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
IU-MVS94.18 5072.64 14290.82 14556.98 31589.67 10885.78 4797.92 4893.28 127
旧先验281.73 22156.88 31686.54 17284.90 30072.81 191
HY-MVS64.64 1873.03 28072.47 28474.71 29783.36 28354.19 31382.14 21981.96 27156.76 31769.57 33786.21 26260.03 27284.83 30249.58 34082.65 33385.11 289
cascas76.29 25374.81 25880.72 22684.47 26362.94 23373.89 31887.34 21155.94 31875.16 31476.53 35363.97 25091.16 19665.00 25290.97 25388.06 256
pmmvs-eth3d78.42 22877.04 23982.57 19787.44 21874.41 12980.86 23679.67 28655.68 31984.69 20190.31 19660.91 26685.42 29562.20 27191.59 24187.88 261
新几何182.95 18593.96 5978.56 8980.24 28255.45 32083.93 21991.08 17171.19 22088.33 26065.84 24793.07 21081.95 329
112180.86 19479.81 21184.02 16193.93 6078.70 8781.64 22380.18 28355.43 32183.67 22191.15 16971.29 21991.41 19067.95 23493.06 21181.96 328
N_pmnet70.20 29868.80 30774.38 29980.91 30584.81 4059.12 35976.45 30455.06 32275.31 31382.36 31655.74 30054.82 36847.02 34987.24 29783.52 307
tpm67.95 31068.08 31167.55 32978.74 33143.53 36575.60 30467.10 35454.92 32372.23 32688.10 23142.87 35275.97 33752.21 32980.95 34283.15 315
114514_t83.10 16782.54 17184.77 14492.90 8469.10 18686.65 11990.62 15154.66 32481.46 25590.81 18376.98 16094.38 8672.62 19296.18 11990.82 211
1112_ss74.82 26673.74 26778.04 26689.57 17760.04 26776.49 29687.09 22154.31 32573.66 32179.80 33760.25 27186.76 28058.37 29484.15 32487.32 267
UnsupCasMVSNet_bld69.21 30769.68 30267.82 32879.42 32351.15 33867.82 34375.79 30654.15 32677.47 29585.36 27959.26 27970.64 34748.46 34479.35 34581.66 331
DWT-MVSNet_test66.43 31764.37 32372.63 30774.86 35650.86 34176.52 29572.74 32954.06 32765.50 35068.30 36432.13 36984.84 30161.63 27873.59 35882.19 325
EPMVS62.47 32462.63 32862.01 34170.63 36938.74 36974.76 31252.86 37253.91 32867.71 34480.01 33539.40 35766.60 35955.54 31168.81 36780.68 344
WTY-MVS67.91 31168.35 30966.58 33280.82 30948.12 35065.96 34772.60 33053.67 32971.20 33181.68 32258.97 28169.06 35248.57 34381.67 33682.55 320
PAPM71.77 29070.06 30076.92 27986.39 23653.97 31476.62 29486.62 22753.44 33063.97 35884.73 29057.79 29192.34 16239.65 36381.33 33984.45 295
PMMVS255.64 33759.27 33744.74 35364.30 37512.32 37840.60 36649.79 37453.19 33165.06 35584.81 28853.60 30949.76 37032.68 37089.41 27172.15 355
tpmrst66.28 31966.69 31765.05 33772.82 36539.33 36878.20 27270.69 34253.16 33267.88 34280.36 33348.18 32274.75 34158.13 29770.79 36281.08 340
pmmvs474.92 26472.98 27780.73 22584.95 25871.71 16376.23 30077.59 29652.83 33377.73 29386.38 25656.35 29884.97 29957.72 30087.05 29885.51 285
test22293.31 7576.54 11679.38 25577.79 29552.59 33482.36 23990.84 18266.83 23991.69 23981.25 337
Anonymous2023120671.38 29371.88 28769.88 31786.31 24154.37 31270.39 33374.62 31352.57 33576.73 29688.76 22259.94 27372.06 34444.35 35693.23 20783.23 314
MS-PatchMatch70.93 29570.22 29873.06 30581.85 29562.50 24173.82 31977.90 29452.44 33675.92 30581.27 32455.67 30181.75 31855.37 31277.70 35174.94 352
gm-plane-assit75.42 35244.97 36252.17 33772.36 36087.90 26354.10 320
MDTV_nov1_ep1368.29 31078.03 33243.87 36474.12 31672.22 33352.17 33767.02 34685.54 27045.36 34080.85 32355.73 30784.42 323
USDC76.63 24776.73 24376.34 28783.46 28257.20 29580.02 24588.04 20452.14 33983.65 22291.25 16563.24 25586.65 28154.66 31894.11 18885.17 288
sss66.92 31367.26 31365.90 33377.23 33651.10 34064.79 34871.72 33852.12 34070.13 33580.18 33457.96 28865.36 36350.21 33681.01 34181.25 337
CostFormer69.98 30368.68 30873.87 30077.14 33750.72 34279.26 25774.51 31551.94 34170.97 33384.75 28945.16 34487.49 26755.16 31579.23 34683.40 310
131473.22 27872.56 28375.20 29480.41 31657.84 28981.64 22385.36 24151.68 34273.10 32376.65 35261.45 26485.19 29763.54 26279.21 34782.59 319
jason77.42 23875.75 25182.43 20087.10 22869.27 18077.99 27481.94 27251.47 34377.84 29085.07 28460.32 27089.00 24970.74 20689.27 27489.03 247
jason: jason.
dp60.70 33360.29 33561.92 34372.04 36738.67 37070.83 33064.08 35851.28 34460.75 36177.28 34936.59 36471.58 34647.41 34862.34 36975.52 351
PVSNet58.17 2166.41 31865.63 32168.75 32481.96 29349.88 34662.19 35572.51 33251.03 34568.04 34175.34 35650.84 31674.77 34045.82 35482.96 32981.60 332
test-mter65.00 32263.79 32568.63 32576.45 34455.21 30867.89 34067.14 35250.98 34665.08 35372.39 35828.27 37469.37 34861.00 28184.89 31881.31 335
CMPMVSbinary59.41 2075.12 26173.57 26979.77 23775.84 34867.22 19581.21 23182.18 26950.78 34776.50 29787.66 23955.20 30482.99 31362.17 27390.64 26489.09 246
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
Test_1112_low_res73.90 27473.08 27576.35 28690.35 16455.95 30173.40 32286.17 23250.70 34873.14 32285.94 26558.31 28585.90 29156.51 30483.22 32887.20 268
lupinMVS76.37 25274.46 26282.09 20185.54 25469.26 18176.79 29080.77 28050.68 34976.23 30182.82 31158.69 28388.94 25069.85 21388.77 27988.07 255
CR-MVSNet74.00 27373.04 27676.85 28279.58 32062.64 23882.58 20276.90 29950.50 35075.72 30792.38 13648.07 32384.07 30768.72 22782.91 33183.85 303
pmmvs570.73 29670.07 29972.72 30677.03 33952.73 32474.14 31575.65 30950.36 35172.17 32785.37 27855.42 30380.67 32452.86 32887.59 29584.77 292
ADS-MVSNet265.87 32163.64 32672.55 30973.16 36256.92 29767.10 34474.81 31249.74 35266.04 34882.97 30746.71 32577.26 33342.29 35869.96 36483.46 308
ADS-MVSNet61.90 32662.19 32961.03 34673.16 36236.42 37167.10 34461.75 36249.74 35266.04 34882.97 30746.71 32563.21 36542.29 35869.96 36483.46 308
tpm268.45 30966.83 31573.30 30378.93 33048.50 34879.76 24871.76 33747.50 35469.92 33683.60 29942.07 35388.40 25948.44 34579.51 34383.01 317
HyFIR lowres test75.12 26172.66 28082.50 19891.44 13865.19 21272.47 32587.31 21246.79 35580.29 27084.30 29452.70 31092.10 17051.88 33486.73 30090.22 225
MVS-HIRNet61.16 33062.92 32755.87 35079.09 32735.34 37271.83 32757.98 36946.56 35659.05 36591.14 17049.95 31976.43 33538.74 36471.92 36155.84 368
MDTV_nov1_ep13_2view27.60 37670.76 33146.47 35761.27 36045.20 34249.18 34183.75 305
MVS73.21 27972.59 28175.06 29680.97 30460.81 26281.64 22385.92 23646.03 35871.68 32977.54 34668.47 23089.77 23955.70 30985.39 31074.60 353
TESTMET0.1,161.29 32960.32 33464.19 33872.06 36651.30 33667.89 34062.09 36045.27 35960.65 36269.01 36127.93 37564.74 36456.31 30581.65 33876.53 349
tpm cat166.76 31665.21 32271.42 31377.09 33850.62 34378.01 27373.68 32444.89 36068.64 33879.00 34045.51 33882.42 31749.91 33870.15 36381.23 339
PVSNet_051.08 2256.10 33554.97 34059.48 34875.12 35453.28 32155.16 36261.89 36144.30 36159.16 36462.48 36754.22 30765.91 36235.40 36747.01 37059.25 366
CHOSEN 280x42059.08 33456.52 33966.76 33176.51 34264.39 21949.62 36559.00 36643.86 36255.66 37068.41 36335.55 36568.21 35443.25 35776.78 35567.69 361
new_pmnet55.69 33657.66 33849.76 35275.47 35130.59 37459.56 35651.45 37343.62 36362.49 35975.48 35540.96 35549.15 37137.39 36672.52 35969.55 359
CHOSEN 1792x268872.45 28470.56 29478.13 26490.02 17463.08 23168.72 33883.16 26242.99 36475.92 30585.46 27457.22 29485.18 29849.87 33981.67 33686.14 278
MVEpermissive40.22 2351.82 33850.47 34155.87 35062.66 37651.91 33131.61 36839.28 37740.65 36550.76 37174.98 35756.24 29944.67 37233.94 36964.11 36871.04 358
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
pmmvs362.47 32460.02 33669.80 31871.58 36864.00 22370.52 33258.44 36839.77 36666.05 34775.84 35427.10 37772.28 34346.15 35284.77 32273.11 354
EU-MVSNet75.12 26174.43 26377.18 27683.11 28859.48 27385.71 13482.43 26839.76 36785.64 18688.76 22244.71 34787.88 26473.86 17785.88 30884.16 299
CVMVSNet72.62 28371.41 29276.28 28883.25 28460.34 26583.50 17879.02 29137.77 36876.33 29985.10 28149.60 32087.41 26870.54 20977.54 35381.08 340
PMMVS61.65 32760.38 33365.47 33665.40 37469.26 18163.97 35161.73 36336.80 36960.11 36368.43 36259.42 27766.35 36048.97 34278.57 34960.81 364
DSMNet-mixed60.98 33261.61 33159.09 34972.88 36445.05 36174.70 31346.61 37626.20 37065.34 35190.32 19555.46 30263.12 36641.72 36081.30 34069.09 360
DeepMVS_CXcopyleft24.13 35532.95 37729.49 37521.63 38012.07 37137.95 37245.07 37030.84 37019.21 37417.94 37333.06 37323.69 370
test_method30.46 33929.60 34233.06 35417.99 3783.84 38013.62 36973.92 3192.79 37218.29 37453.41 36928.53 37343.25 37322.56 37135.27 37252.11 369
EGC-MVSNET74.79 26769.99 30189.19 6494.89 3987.00 1491.89 3586.28 2301.09 3732.23 37595.98 2381.87 11189.48 24279.76 11095.96 12891.10 202
tmp_tt20.25 34124.50 3447.49 3564.47 3798.70 37934.17 36725.16 3791.00 37432.43 37318.49 37139.37 3589.21 37521.64 37243.75 3714.57 371
test1236.27 3448.08 3470.84 3571.11 3810.57 38162.90 3520.82 3810.54 3751.07 3772.75 3761.26 3800.30 3761.04 3741.26 3751.66 372
testmvs5.91 3457.65 3480.72 3581.20 3800.37 38259.14 3580.67 3820.49 3761.11 3762.76 3750.94 3810.24 3771.02 3751.47 3741.55 373
test_blank0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
uanet_test0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
cdsmvs_eth3d_5k20.81 34027.75 3430.00 3590.00 3820.00 3830.00 37085.44 2400.00 3770.00 37882.82 31181.46 1150.00 3780.00 3760.00 3760.00 374
pcd_1.5k_mvsjas6.41 3438.55 3460.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 37776.94 1610.00 3780.00 3760.00 3760.00 374
sosnet-low-res0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
sosnet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
uncertanet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
Regformer0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
ab-mvs-re6.65 3428.87 3450.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 37879.80 3370.00 3820.00 3780.00 3760.00 3760.00 374
uanet0.00 3460.00 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.00 3770.00 3820.00 3780.00 3760.00 3760.00 374
MSC_two_6792asdad88.81 7091.55 13277.99 9391.01 14096.05 887.45 1998.17 3392.40 164
No_MVS88.81 7091.55 13277.99 9391.01 14096.05 887.45 1998.17 3392.40 164
eth-test20.00 382
eth-test0.00 382
OPU-MVS88.27 8591.89 11777.83 9790.47 5091.22 16681.12 12094.68 7674.48 16995.35 14992.29 171
test_0728_SECOND86.79 10394.25 4972.45 15090.54 4694.10 3895.88 1686.42 3497.97 4592.02 181
GSMVS83.88 300
test_part293.86 6277.77 9892.84 48
sam_mvs146.11 32983.88 300
sam_mvs45.92 334
ambc82.98 18490.55 16264.86 21488.20 9289.15 18689.40 11793.96 9371.67 21891.38 19278.83 12196.55 10392.71 151
MTGPAbinary91.81 119
test_post178.85 2653.13 37345.19 34380.13 32658.11 298
test_post3.10 37445.43 33977.22 334
patchmatchnet-post81.71 32145.93 33387.01 271
GG-mvs-BLEND67.16 33073.36 36046.54 35884.15 15555.04 37158.64 36761.95 36829.93 37283.87 31038.71 36576.92 35471.07 357
MTMP90.66 4333.14 378
test9_res80.83 9996.45 10890.57 218
agg_prior279.68 11296.16 12090.22 225
agg_prior91.58 12977.69 9990.30 16184.32 20993.18 137
test_prior478.97 8484.59 147
test_prior86.32 11190.59 16071.99 15792.85 9194.17 9692.80 145
新几何281.72 222
旧先验191.97 11271.77 15981.78 27391.84 15173.92 18993.65 19983.61 306
原ACMM282.26 215
testdata286.43 28463.52 263
segment_acmp81.94 106
test1286.57 10690.74 15672.63 14490.69 14882.76 23479.20 13794.80 7395.32 15192.27 173
plane_prior793.45 7077.31 107
plane_prior692.61 9176.54 11674.84 178
plane_prior593.61 5895.22 5980.78 10095.83 13594.46 81
plane_prior492.95 119
plane_prior192.83 89
n20.00 383
nn0.00 383
door-mid74.45 316
lessismore_v085.95 12291.10 14870.99 16870.91 34191.79 6794.42 6661.76 26392.93 14879.52 11693.03 21293.93 101
test1191.46 126
door72.57 331
HQP5-MVS70.66 169
BP-MVS77.30 145
HQP4-MVS80.56 26694.61 8093.56 122
HQP3-MVS92.68 9794.47 180
HQP2-MVS72.10 211
NP-MVS91.95 11374.55 12890.17 201
ACMMP++_ref95.74 141
ACMMP++97.35 78
Test By Simon79.09 138