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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort bysort by
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 14391.10 197.53 7796.58 33
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
MP-MVS-pluss90.81 2991.08 3689.99 5195.97 1479.88 7488.13 9994.51 2175.79 14392.94 4694.96 4888.36 2995.01 6890.70 298.40 2095.09 66
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMP_NAP90.65 3191.07 3889.42 6495.93 1679.54 7989.95 6393.68 5677.65 11991.97 7094.89 5088.38 2895.45 5189.27 397.87 5493.27 133
ZNCC-MVS91.26 2391.34 2991.01 3595.73 2183.05 5492.18 2994.22 2780.14 8991.29 8193.97 9487.93 4095.87 1988.65 497.96 4894.12 100
zzz-MVS91.27 2291.26 3391.29 2996.59 486.29 1988.94 8691.81 12284.07 4092.00 6894.40 7286.63 5495.28 5888.59 598.31 2492.30 174
MTAPA91.52 1691.60 2091.29 2996.59 486.29 1992.02 3191.81 12284.07 4092.00 6894.40 7286.63 5495.28 5888.59 598.31 2492.30 174
HPM-MVScopyleft92.13 992.20 1191.91 1795.58 2684.67 4393.51 894.85 1682.88 5791.77 7393.94 10190.55 1395.73 3188.50 798.23 2995.33 57
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
MSP-MVS89.08 6588.16 7891.83 2195.76 1886.14 2492.75 1793.90 4678.43 11289.16 12592.25 14872.03 21796.36 288.21 890.93 25892.98 144
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
HPM-MVS_fast92.50 592.54 692.37 695.93 1685.81 3292.99 1394.23 2685.21 3492.51 5895.13 4590.65 1095.34 5588.06 998.15 3695.95 44
SMA-MVScopyleft90.31 3890.48 4989.83 5395.31 3179.52 8090.98 4693.24 7775.37 15092.84 5095.28 3985.58 6696.09 787.92 1097.76 6093.88 108
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
HFP-MVS91.30 2191.39 2591.02 3395.43 2984.66 4492.58 2293.29 7381.99 6691.47 7693.96 9788.35 3095.56 4087.74 1197.74 6292.85 148
ACMMPR91.49 1791.35 2891.92 1695.74 2085.88 2992.58 2293.25 7681.99 6691.40 7894.17 8587.51 4495.87 1987.74 1197.76 6093.99 103
anonymousdsp89.73 5388.88 7092.27 989.82 17986.67 1790.51 5290.20 17069.87 22295.06 1196.14 2184.28 7593.07 14887.68 1396.34 11797.09 22
TSAR-MVS + MP.88.14 7787.82 8289.09 7095.72 2276.74 11692.49 2591.19 13967.85 24486.63 17094.84 5279.58 13695.96 1387.62 1494.50 18394.56 80
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
SteuartSystems-ACMMP91.16 2691.36 2690.55 4293.91 6180.97 6891.49 3993.48 6382.82 5892.60 5793.97 9488.19 3396.29 487.61 1598.20 3394.39 89
Skip Steuart: Steuart Systems R&D Blog.
region2R91.44 2091.30 3291.87 1995.75 1985.90 2892.63 2193.30 7281.91 6890.88 8994.21 8187.75 4195.87 1987.60 1697.71 6493.83 110
APDe-MVS91.22 2491.92 1389.14 6992.97 8578.04 9392.84 1694.14 3583.33 5193.90 2595.73 2888.77 2696.41 187.60 1697.98 4592.98 144
abl_693.02 493.16 492.60 494.73 4488.99 793.26 1294.19 3089.11 1294.43 1695.27 4091.86 395.09 6587.54 1898.02 4193.71 118
MSC_two_6792asdad88.81 7391.55 13677.99 9491.01 14396.05 887.45 1998.17 3492.40 169
No_MVS88.81 7391.55 13677.99 9491.01 14396.05 887.45 1998.17 3492.40 169
DVP-MVS++90.07 4291.09 3587.00 10391.55 13672.64 14696.19 294.10 3885.33 3293.49 3994.64 6181.12 12095.88 1787.41 2195.94 13492.48 165
test_0728_THIRD85.33 3293.75 3194.65 5887.44 4595.78 2887.41 2198.21 3192.98 144
XVS91.54 1591.36 2692.08 1095.64 2486.25 2192.64 1993.33 6785.07 3589.99 10294.03 9186.57 5695.80 2587.35 2397.62 6894.20 94
X-MVStestdata85.04 12782.70 17192.08 1095.64 2486.25 2192.64 1993.33 6785.07 3589.99 10216.05 37586.57 5695.80 2587.35 2397.62 6894.20 94
ACMMPcopyleft91.91 1291.87 1792.03 1395.53 2785.91 2793.35 1194.16 3182.52 6192.39 6194.14 8789.15 2395.62 3687.35 2398.24 2894.56 80
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
CP-MVS91.67 1491.58 2191.96 1495.29 3287.62 1293.38 993.36 6583.16 5391.06 8494.00 9388.26 3295.71 3287.28 2698.39 2192.55 162
mPP-MVS91.69 1391.47 2492.37 696.04 1388.48 1092.72 1892.60 10183.09 5491.54 7594.25 8087.67 4395.51 4687.21 2798.11 3793.12 139
SR-MVS-dyc-post92.41 692.41 792.39 594.13 5588.95 892.87 1494.16 3188.75 1693.79 2994.43 6888.83 2495.51 4687.16 2897.60 7092.73 153
RE-MVS-def92.61 594.13 5588.95 892.87 1494.16 3188.75 1693.79 2994.43 6890.64 1187.16 2897.60 7092.73 153
test117292.40 792.41 792.37 694.68 4589.04 691.98 3293.62 5790.14 1193.63 3694.16 8688.83 2495.51 4687.11 3097.54 7692.54 163
GST-MVS90.96 2891.01 3990.82 3895.45 2882.73 5791.75 3793.74 5280.98 7991.38 7993.80 10487.20 4895.80 2587.10 3197.69 6593.93 106
SR-MVS92.23 892.34 991.91 1794.89 3987.85 1192.51 2493.87 4988.20 2193.24 4394.02 9290.15 1795.67 3486.82 3297.34 8392.19 182
test_low_dy_conf_00187.67 8886.99 9689.72 5593.02 8278.17 9291.15 4489.33 18769.89 22192.70 5595.39 3766.77 24394.23 9586.77 3397.90 5296.76 27
bld_raw_conf00588.83 7088.48 7589.85 5292.53 9676.54 11791.30 4093.28 7574.96 15493.26 4296.02 2370.41 22595.63 3586.73 3497.87 5497.39 15
APD-MVS_3200maxsize92.05 1092.24 1091.48 2493.02 8285.17 3692.47 2695.05 1587.65 2493.21 4494.39 7490.09 1895.08 6686.67 3597.60 7094.18 96
DVP-MVScopyleft90.06 4391.32 3086.29 11794.16 5372.56 15090.54 5091.01 14383.61 4793.75 3194.65 5889.76 1995.78 2886.42 3697.97 4690.55 225
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
test_0728_SECOND86.79 10794.25 4972.45 15490.54 5094.10 3895.88 1786.42 3697.97 4692.02 186
PGM-MVS91.20 2590.95 4291.93 1595.67 2385.85 3090.00 6093.90 4680.32 8691.74 7494.41 7188.17 3495.98 1186.37 3897.99 4393.96 105
MP-MVScopyleft91.14 2790.91 4391.83 2196.18 1186.88 1692.20 2893.03 8782.59 6088.52 13694.37 7586.74 5395.41 5386.32 3998.21 3193.19 137
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
MVSFormer82.23 18081.57 19084.19 16385.54 25869.26 18591.98 3290.08 17371.54 20176.23 30585.07 28958.69 28994.27 9086.26 4088.77 28389.03 251
test_djsdf89.62 5489.01 6691.45 2592.36 10182.98 5591.98 3290.08 17371.54 20194.28 2196.54 1381.57 11594.27 9086.26 4096.49 11097.09 22
v7n90.13 4090.96 4187.65 9791.95 11771.06 17189.99 6293.05 8486.53 2894.29 1996.27 1782.69 9194.08 10486.25 4297.63 6797.82 8
SD-MVS88.96 6789.88 5386.22 12091.63 12977.07 11289.82 6693.77 5178.90 10592.88 4792.29 14686.11 6290.22 22786.24 4397.24 8691.36 205
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
HPM-MVS++copyleft88.93 6888.45 7690.38 4594.92 3785.85 3089.70 6791.27 13678.20 11486.69 16992.28 14780.36 13095.06 6786.17 4496.49 11090.22 230
TDRefinement93.52 293.39 393.88 195.94 1590.26 395.70 496.46 290.58 892.86 4996.29 1688.16 3594.17 10086.07 4598.48 1897.22 20
SED-MVS90.46 3791.64 1986.93 10494.18 5072.65 14490.47 5393.69 5483.77 4494.11 2394.27 7690.28 1595.84 2386.03 4697.92 4992.29 176
test_241102_TWO93.71 5383.77 4493.49 3994.27 7689.27 2295.84 2386.03 4697.82 5692.04 185
UA-Net91.49 1791.53 2291.39 2694.98 3682.95 5693.52 792.79 9688.22 2088.53 13597.64 283.45 8494.55 8586.02 4898.60 1396.67 30
mvsmamba87.87 8287.23 9189.78 5492.31 10576.51 12191.09 4591.87 11872.61 18792.16 6495.23 4366.01 24795.59 3886.02 4897.78 5897.24 18
IU-MVS94.18 5072.64 14690.82 14856.98 31989.67 11385.78 5097.92 4993.28 132
xxxxxxxxxxxxxcwj89.04 6689.13 6488.79 7593.75 6477.44 10486.31 12895.27 1270.80 20992.28 6293.80 10486.89 5194.64 7985.52 5197.51 7894.30 92
SF-MVS90.27 3990.80 4588.68 8092.86 8977.09 11191.19 4395.74 581.38 7492.28 6293.80 10486.89 5194.64 7985.52 5197.51 7894.30 92
LPG-MVS_test91.47 1991.68 1890.82 3894.75 4281.69 6190.00 6094.27 2382.35 6393.67 3494.82 5391.18 595.52 4485.36 5398.73 795.23 62
LGP-MVS_train90.82 3894.75 4281.69 6194.27 2382.35 6393.67 3494.82 5391.18 595.52 4485.36 5398.73 795.23 62
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 5599.27 199.54 1
OurMVSNet-221017-090.01 4689.74 5590.83 3793.16 8080.37 7191.91 3593.11 8081.10 7795.32 1097.24 572.94 20594.85 7385.07 5597.78 5897.26 17
ACMM79.39 990.65 3190.99 4089.63 5995.03 3583.53 4989.62 7293.35 6679.20 10193.83 2893.60 11190.81 892.96 15085.02 5798.45 1992.41 168
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
RRT_MVS88.30 7587.83 8189.70 5693.62 6975.70 12792.36 2789.06 19277.34 12293.63 3695.83 2665.40 25195.90 1585.01 5898.23 2997.49 13
#test#90.49 3690.31 5191.02 3395.43 2984.66 4490.65 4893.29 7377.00 12791.47 7693.96 9788.35 3095.56 4084.88 5997.74 6292.85 148
3Dnovator+83.92 289.97 4989.66 5690.92 3691.27 14581.66 6491.25 4194.13 3688.89 1388.83 13094.26 7977.55 15395.86 2284.88 5995.87 13895.24 61
OPM-MVS89.80 5189.97 5289.27 6694.76 4179.86 7586.76 12192.78 9778.78 10792.51 5893.64 11088.13 3693.84 11484.83 6197.55 7394.10 101
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
CNVR-MVS87.81 8687.68 8488.21 9092.87 8777.30 10985.25 14191.23 13777.31 12487.07 16091.47 16782.94 8994.71 7684.67 6296.27 12192.62 160
XVG-OURS-SEG-HR89.59 5589.37 6190.28 4794.47 4685.95 2686.84 11793.91 4580.07 9086.75 16693.26 11493.64 290.93 20584.60 6390.75 26393.97 104
DPE-MVScopyleft90.53 3591.08 3688.88 7193.38 7478.65 8889.15 8394.05 4084.68 3893.90 2594.11 8988.13 3696.30 384.51 6497.81 5791.70 197
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
mvs_tets89.78 5289.27 6391.30 2893.51 7084.79 4189.89 6590.63 15370.00 22094.55 1596.67 1187.94 3993.59 12584.27 6595.97 13195.52 52
DeepC-MVS82.31 489.15 6389.08 6589.37 6593.64 6879.07 8388.54 9594.20 2873.53 16989.71 11194.82 5385.09 6795.77 3084.17 6698.03 4093.26 134
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
jajsoiax89.41 5888.81 7291.19 3293.38 7484.72 4289.70 6790.29 16769.27 22594.39 1796.38 1586.02 6493.52 12983.96 6795.92 13695.34 56
v1086.54 10087.10 9384.84 14688.16 21063.28 23286.64 12492.20 10975.42 14992.81 5294.50 6474.05 19094.06 10583.88 6896.28 11997.17 21
XVG-OURS89.18 6288.83 7190.23 4894.28 4886.11 2585.91 13193.60 6080.16 8889.13 12693.44 11283.82 7990.98 20383.86 6995.30 15993.60 125
Regformer-486.41 10285.71 12088.52 8184.27 27577.57 10184.07 16088.00 21082.82 5889.84 10885.48 27782.06 10492.77 15683.83 7091.04 25295.22 64
9.1489.29 6291.84 12588.80 9095.32 1175.14 15291.07 8392.89 12587.27 4693.78 11683.69 7197.55 73
Regformer-286.74 9886.08 11288.73 7684.18 27979.20 8183.52 17989.33 18783.33 5189.92 10685.07 28983.23 8793.16 14383.39 7292.72 22393.83 110
ETH3D-3000-0.188.85 6988.96 6988.52 8191.94 11977.27 11088.71 9295.26 1376.08 13490.66 9292.69 13284.48 7393.83 11583.38 7397.48 8094.47 84
ACMH76.49 1489.34 6091.14 3483.96 16792.50 9870.36 17689.55 7393.84 5081.89 6994.70 1395.44 3690.69 988.31 26383.33 7498.30 2693.20 136
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
v886.22 10786.83 10184.36 15787.82 21462.35 24786.42 12791.33 13476.78 12992.73 5494.48 6673.41 19993.72 11883.10 7595.41 15297.01 24
PS-MVSNAJss88.31 7487.90 8089.56 6293.31 7677.96 9687.94 10291.97 11570.73 21194.19 2296.67 1176.94 16294.57 8383.07 7696.28 11996.15 36
CPTT-MVS89.39 5988.98 6890.63 4195.09 3486.95 1592.09 3092.30 10779.74 9287.50 15292.38 14181.42 11793.28 13883.07 7697.24 8691.67 198
SixPastTwentyTwo87.20 9187.45 8886.45 11392.52 9769.19 18887.84 10488.05 20881.66 7194.64 1496.53 1465.94 24894.75 7583.02 7896.83 9895.41 54
ACMP79.16 1090.54 3490.60 4890.35 4694.36 4780.98 6789.16 8294.05 4079.03 10492.87 4893.74 10890.60 1295.21 6282.87 7998.76 494.87 70
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
v124084.30 14384.51 14583.65 17487.65 21961.26 25782.85 20191.54 12767.94 24290.68 9190.65 19371.71 21993.64 12082.84 8094.78 17696.07 39
XVG-ACMP-BASELINE89.98 4789.84 5490.41 4494.91 3884.50 4689.49 7793.98 4279.68 9392.09 6693.89 10283.80 8093.10 14782.67 8198.04 3893.64 123
DROMVSNet88.01 7988.32 7787.09 10289.28 18672.03 16090.31 5696.31 380.88 8085.12 19789.67 21384.47 7495.46 5082.56 8296.26 12293.77 116
CS-MVS88.14 7787.67 8589.54 6389.56 18179.18 8290.47 5394.77 1879.37 9984.32 21289.33 21883.87 7794.53 8682.45 8394.89 17394.90 68
v119284.57 13584.69 14084.21 16187.75 21662.88 23783.02 19691.43 13069.08 22889.98 10490.89 18472.70 20993.62 12482.41 8494.97 17096.13 37
Regformer-186.00 11085.50 12487.49 9884.18 27976.90 11483.52 17987.94 21282.18 6589.19 12485.07 28982.28 10091.89 17982.40 8592.72 22393.69 119
v192192084.23 14784.37 14983.79 17087.64 22061.71 25282.91 19991.20 13867.94 24290.06 9990.34 19872.04 21693.59 12582.32 8694.91 17196.07 39
APD-MVScopyleft89.54 5689.63 5789.26 6792.57 9481.34 6690.19 5893.08 8380.87 8191.13 8293.19 11586.22 6195.97 1282.23 8797.18 8890.45 227
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
EI-MVSNet-Vis-set85.12 12484.53 14486.88 10584.01 28272.76 14383.91 16885.18 25080.44 8388.75 13185.49 27680.08 13291.92 17782.02 8890.85 26195.97 42
ZD-MVS92.22 10980.48 7091.85 11971.22 20690.38 9492.98 12086.06 6396.11 681.99 8996.75 101
Regformer-385.06 12684.67 14186.22 12084.27 27573.43 13884.07 16085.26 24880.77 8288.62 13485.48 27780.56 12890.39 22381.99 8991.04 25294.85 74
EI-MVSNet-UG-set85.04 12784.44 14686.85 10683.87 28572.52 15283.82 17085.15 25180.27 8788.75 13185.45 28079.95 13491.90 17881.92 9190.80 26296.13 37
v14419284.24 14684.41 14783.71 17387.59 22161.57 25382.95 19891.03 14267.82 24589.80 10990.49 19673.28 20293.51 13081.88 9294.89 17396.04 41
v114484.54 13884.72 13884.00 16587.67 21862.55 24382.97 19790.93 14670.32 21689.80 10990.99 17973.50 19693.48 13181.69 9394.65 18195.97 42
ETH3D cwj APD-0.1687.83 8587.62 8688.47 8391.21 14678.20 9087.26 11094.54 2072.05 19788.89 12792.31 14583.86 7894.24 9381.59 9496.87 9592.97 147
testtj89.51 5789.48 6089.59 6192.26 10680.80 6990.14 5993.54 6183.37 5090.57 9392.55 13784.99 6896.15 581.26 9596.61 10591.83 193
train_agg85.98 11285.28 12788.07 9292.34 10279.70 7783.94 16590.32 16165.79 25884.49 20890.97 18081.93 10893.63 12181.21 9696.54 10890.88 214
NCCC87.36 8986.87 10088.83 7292.32 10478.84 8686.58 12591.09 14178.77 10884.85 20390.89 18480.85 12395.29 5681.14 9795.32 15692.34 172
agg_prior185.72 11585.20 12887.28 10191.58 13377.69 9983.69 17590.30 16466.29 25584.32 21291.07 17782.13 10293.18 14181.02 9896.36 11690.98 210
v2v48284.09 15084.24 15183.62 17587.13 22961.40 25482.71 20489.71 17972.19 19689.55 11991.41 16870.70 22493.20 14081.02 9893.76 19796.25 35
WR-MVS_H89.91 5091.31 3185.71 13396.32 1062.39 24589.54 7593.31 7090.21 1095.57 995.66 3181.42 11795.90 1580.94 10098.80 398.84 5
LS3D90.60 3390.34 5091.38 2789.03 19184.23 4793.58 694.68 1990.65 790.33 9693.95 10084.50 7295.37 5480.87 10195.50 15194.53 83
test9_res80.83 10296.45 11390.57 223
HQP_MVS87.75 8787.43 8988.70 7993.45 7176.42 12289.45 7893.61 5879.44 9786.55 17192.95 12374.84 18095.22 6080.78 10395.83 13994.46 85
plane_prior593.61 5895.22 6080.78 10395.83 13994.46 85
PHI-MVS86.38 10385.81 11788.08 9188.44 20477.34 10789.35 8193.05 8473.15 18084.76 20487.70 24378.87 14094.18 9880.67 10596.29 11892.73 153
K. test v385.14 12384.73 13686.37 11491.13 15169.63 18185.45 13976.68 30684.06 4292.44 6096.99 862.03 26894.65 7880.58 10693.24 20894.83 76
Vis-MVSNetpermissive86.86 9586.58 10387.72 9592.09 11377.43 10687.35 10992.09 11178.87 10684.27 21894.05 9078.35 14593.65 11980.54 10791.58 24692.08 184
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
test_part187.15 9287.82 8285.15 14288.88 19563.04 23587.98 10094.85 1682.52 6193.61 3895.73 2867.51 23795.71 3280.48 10898.83 296.69 29
V4283.47 16583.37 16283.75 17283.16 29163.33 23181.31 23390.23 16969.51 22490.91 8890.81 18774.16 18892.29 16980.06 10990.22 26995.62 50
MVS_Test82.47 17783.22 16380.22 23782.62 29757.75 29682.54 21091.96 11671.16 20782.89 23692.52 13977.41 15490.50 22080.04 11087.84 29692.40 169
COLMAP_ROBcopyleft83.01 391.97 1191.95 1292.04 1293.68 6786.15 2393.37 1095.10 1490.28 992.11 6595.03 4789.75 2194.93 7079.95 11198.27 2795.04 67
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
test_040288.65 7189.58 5985.88 12992.55 9572.22 15884.01 16389.44 18588.63 1894.38 1895.77 2786.38 6093.59 12579.84 11295.21 16091.82 194
EGC-MVSNET74.79 27169.99 30589.19 6894.89 3987.00 1491.89 3686.28 2341.09 3762.23 37895.98 2481.87 11289.48 24479.76 11395.96 13291.10 208
nrg03087.85 8488.49 7485.91 12790.07 17569.73 17987.86 10394.20 2874.04 16392.70 5594.66 5785.88 6591.50 18679.72 11497.32 8496.50 34
agg_prior279.68 11596.16 12490.22 230
DeepPCF-MVS81.24 587.28 9086.21 11090.49 4391.48 14084.90 3983.41 18492.38 10670.25 21789.35 12390.68 19182.85 9094.57 8379.55 11695.95 13392.00 187
test_prior386.31 10486.31 10786.32 11590.59 16471.99 16183.37 18592.85 9375.43 14784.58 20691.57 16381.92 11094.17 10079.54 11796.97 9292.80 150
test_prior283.37 18575.43 14784.58 20691.57 16381.92 11079.54 11796.97 92
lessismore_v085.95 12691.10 15270.99 17270.91 34491.79 7294.42 7061.76 26992.93 15279.52 11993.03 21493.93 106
PS-CasMVS90.06 4391.92 1384.47 15496.56 758.83 28989.04 8492.74 9891.40 596.12 496.06 2287.23 4795.57 3979.42 12098.74 699.00 2
tttt051781.07 19579.58 21685.52 13688.99 19366.45 20887.03 11575.51 31473.76 16788.32 14290.20 20237.96 36594.16 10379.36 12195.13 16395.93 45
DTE-MVSNet89.98 4791.91 1584.21 16196.51 857.84 29488.93 8792.84 9591.92 396.16 396.23 1886.95 5095.99 1079.05 12298.57 1598.80 6
CP-MVSNet89.27 6190.91 4384.37 15596.34 958.61 29188.66 9492.06 11290.78 695.67 795.17 4481.80 11395.54 4379.00 12398.69 1098.95 4
ambc82.98 18890.55 16664.86 21788.20 9789.15 19089.40 12293.96 9771.67 22091.38 19478.83 12496.55 10792.71 156
PEN-MVS90.03 4591.88 1684.48 15396.57 658.88 28688.95 8593.19 7891.62 496.01 696.16 2087.02 4995.60 3778.69 12598.72 998.97 3
baseline85.20 12285.93 11483.02 18786.30 24762.37 24684.55 15193.96 4374.48 16087.12 15692.03 15182.30 9891.94 17678.39 12694.21 18994.74 77
DeepC-MVS_fast80.27 886.23 10685.65 12287.96 9491.30 14376.92 11387.19 11191.99 11470.56 21284.96 19990.69 19080.01 13395.14 6378.37 12795.78 14491.82 194
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ACMH+77.89 1190.73 3091.50 2388.44 8593.00 8476.26 12489.65 7195.55 787.72 2393.89 2794.94 4991.62 493.44 13378.35 12898.76 495.61 51
MCST-MVS84.36 14083.93 15685.63 13491.59 13071.58 16883.52 17992.13 11061.82 28683.96 22289.75 21279.93 13593.46 13278.33 12994.34 18791.87 192
3Dnovator80.37 784.80 13184.71 13985.06 14486.36 24574.71 13188.77 9190.00 17575.65 14584.96 19993.17 11674.06 18991.19 19778.28 13091.09 25089.29 245
h-mvs3384.25 14582.76 17088.72 7791.82 12782.60 5884.00 16484.98 25771.27 20386.70 16790.55 19563.04 26493.92 11078.26 13194.20 19089.63 237
hse-mvs283.47 16581.81 18588.47 8391.03 15382.27 5982.61 20583.69 26371.27 20386.70 16786.05 27063.04 26492.41 16378.26 13193.62 20390.71 218
c3_l81.64 18981.59 18981.79 21380.86 31359.15 28378.61 27290.18 17168.36 23587.20 15487.11 25669.39 22791.62 18478.16 13394.43 18694.60 79
IterMVS-LS84.73 13284.98 13283.96 16787.35 22463.66 22783.25 18989.88 17776.06 13589.62 11592.37 14473.40 20192.52 16178.16 13394.77 17895.69 47
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
EI-MVSNet82.61 17482.42 17883.20 18483.25 28963.66 22783.50 18285.07 25276.06 13586.55 17185.10 28673.41 19990.25 22478.15 13590.67 26595.68 48
GeoE85.45 11985.81 11784.37 15590.08 17367.07 20285.86 13491.39 13372.33 19387.59 15090.25 20184.85 6992.37 16578.00 13691.94 24093.66 120
diffmvs80.40 20880.48 20380.17 23879.02 33360.04 27277.54 28690.28 16866.65 25382.40 24187.33 25173.50 19687.35 27277.98 13789.62 27493.13 138
OMC-MVS88.19 7687.52 8790.19 4991.94 11981.68 6387.49 10893.17 7976.02 13788.64 13391.22 17184.24 7693.37 13677.97 13897.03 9195.52 52
casdiffmvs85.21 12185.85 11683.31 18186.17 25262.77 23983.03 19593.93 4474.69 15788.21 14392.68 13382.29 9991.89 17977.87 13993.75 19995.27 60
CS-MVS-test87.00 9386.43 10588.71 7889.46 18277.46 10389.42 8095.73 677.87 11781.64 25787.25 25282.43 9594.53 8677.65 14096.46 11294.14 99
DP-MVS88.60 7289.01 6687.36 10091.30 14377.50 10287.55 10692.97 9087.95 2289.62 11592.87 12684.56 7193.89 11177.65 14096.62 10490.70 219
PMVScopyleft80.48 690.08 4190.66 4788.34 8896.71 392.97 190.31 5689.57 18388.51 1990.11 9895.12 4690.98 788.92 25377.55 14297.07 9083.13 320
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
MSLP-MVS++85.00 12986.03 11381.90 20791.84 12571.56 16986.75 12293.02 8875.95 14087.12 15689.39 21677.98 14789.40 24977.46 14394.78 17684.75 297
IterMVS-SCA-FT80.64 20379.41 21784.34 15883.93 28369.66 18076.28 30281.09 28272.43 18886.47 17790.19 20360.46 27493.15 14577.45 14486.39 30890.22 230
CDPH-MVS86.17 10985.54 12388.05 9392.25 10775.45 12883.85 16992.01 11365.91 25786.19 17891.75 16183.77 8194.98 6977.43 14596.71 10293.73 117
BP-MVS77.30 146
HQP-MVS84.61 13484.06 15386.27 11891.19 14770.66 17384.77 14592.68 9973.30 17580.55 27190.17 20572.10 21394.61 8177.30 14694.47 18493.56 127
MVS_111021_LR84.28 14483.76 15885.83 13189.23 18883.07 5380.99 23983.56 26572.71 18586.07 18289.07 22481.75 11486.19 29077.11 14893.36 20488.24 257
CANet83.79 15882.85 16986.63 10986.17 25272.21 15983.76 17391.43 13077.24 12574.39 32187.45 24875.36 17495.42 5277.03 14992.83 21992.25 180
dcpmvs_284.23 14785.14 12981.50 21588.61 19961.98 25182.90 20093.11 8068.66 23492.77 5392.39 14078.50 14287.63 26976.99 15092.30 22894.90 68
Anonymous2023121188.40 7389.62 5884.73 14990.46 16765.27 21488.86 8893.02 8887.15 2593.05 4597.10 682.28 10092.02 17576.70 15197.99 4396.88 26
iter_conf0578.81 22677.35 23983.21 18382.98 29560.75 26784.09 15988.34 20263.12 27784.25 22089.48 21531.41 37294.51 8876.64 15295.83 13994.38 90
MVS_111021_HR84.63 13384.34 15085.49 13890.18 17275.86 12679.23 26487.13 22273.35 17285.56 19289.34 21783.60 8390.50 22076.64 15294.05 19390.09 235
RPSCF88.00 8086.93 9991.22 3190.08 17389.30 589.68 6991.11 14079.26 10089.68 11294.81 5682.44 9487.74 26776.54 15488.74 28596.61 32
DIV-MVS_self_test80.43 20680.23 20681.02 22479.99 32159.25 28077.07 29287.02 22767.38 24686.19 17889.22 21963.09 26290.16 22976.32 15595.80 14293.66 120
cl____80.42 20780.23 20681.02 22479.99 32159.25 28077.07 29287.02 22767.37 24786.18 18089.21 22063.08 26390.16 22976.31 15695.80 14293.65 122
AUN-MVS81.18 19478.78 22388.39 8690.93 15582.14 6082.51 21183.67 26464.69 27280.29 27485.91 27351.07 32092.38 16476.29 15793.63 20290.65 222
Gipumacopyleft84.44 13986.33 10678.78 25484.20 27873.57 13789.55 7390.44 15784.24 3984.38 21094.89 5076.35 17180.40 32776.14 15896.80 10082.36 328
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
miper_ehance_all_eth80.34 21080.04 21381.24 22079.82 32358.95 28577.66 28389.66 18065.75 26185.99 18685.11 28568.29 23491.42 19176.03 15992.03 23693.33 130
alignmvs83.94 15683.98 15583.80 16987.80 21567.88 19884.54 15391.42 13273.27 17888.41 13987.96 23872.33 21290.83 21076.02 16094.11 19192.69 157
ETH3 D test640085.09 12584.87 13485.75 13290.80 15969.34 18385.90 13293.31 7065.43 26486.11 18189.95 20780.92 12294.86 7275.90 16195.57 14993.05 141
PC_three_145258.96 30590.06 9991.33 16980.66 12693.03 14975.78 16295.94 13492.48 165
canonicalmvs85.50 11786.14 11183.58 17687.97 21167.13 20187.55 10694.32 2273.44 17188.47 13787.54 24686.45 5891.06 20275.76 16393.76 19792.54 163
CSCG86.26 10586.47 10485.60 13590.87 15774.26 13487.98 10091.85 11980.35 8589.54 12188.01 23779.09 13892.13 17175.51 16495.06 16790.41 228
thisisatest053079.07 22177.33 24084.26 16087.13 22964.58 21983.66 17775.95 30968.86 23185.22 19687.36 25038.10 36393.57 12875.47 16594.28 18894.62 78
TSAR-MVS + GP.83.95 15582.69 17287.72 9589.27 18781.45 6583.72 17481.58 28074.73 15685.66 18986.06 26972.56 21192.69 15875.44 16695.21 16089.01 253
cl2278.97 22278.21 23281.24 22077.74 33759.01 28477.46 28987.13 22265.79 25884.32 21285.10 28658.96 28890.88 20975.36 16792.03 23693.84 109
eth_miper_zixun_eth80.84 19980.22 20882.71 19581.41 30560.98 26377.81 28190.14 17267.31 24886.95 16387.24 25364.26 25492.31 16775.23 16891.61 24494.85 74
v14882.31 17882.48 17781.81 21285.59 25759.66 27681.47 23186.02 23872.85 18388.05 14490.65 19370.73 22390.91 20775.15 16991.79 24194.87 70
FC-MVSNet-test85.93 11387.05 9582.58 19892.25 10756.44 30585.75 13593.09 8277.33 12391.94 7194.65 5874.78 18293.41 13575.11 17098.58 1497.88 7
UniMVSNet (Re)86.87 9486.98 9886.55 11193.11 8168.48 19283.80 17292.87 9280.37 8489.61 11791.81 15977.72 15094.18 9875.00 17198.53 1696.99 25
OPU-MVS88.27 8991.89 12177.83 9790.47 5391.22 17181.12 12094.68 7774.48 17295.35 15492.29 176
DELS-MVS81.44 19181.25 19282.03 20584.27 27562.87 23876.47 30092.49 10370.97 20881.64 25783.83 30275.03 17792.70 15774.29 17392.22 23490.51 226
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
Effi-MVS+83.90 15784.01 15483.57 17787.22 22765.61 21386.55 12692.40 10478.64 11081.34 26284.18 30083.65 8292.93 15274.22 17487.87 29592.17 183
UniMVSNet_NR-MVSNet86.84 9687.06 9486.17 12492.86 8967.02 20382.55 20991.56 12683.08 5590.92 8691.82 15878.25 14693.99 10674.16 17598.35 2297.49 13
DU-MVS86.80 9786.99 9686.21 12293.24 7867.02 20383.16 19392.21 10881.73 7090.92 8691.97 15277.20 15693.99 10674.16 17598.35 2297.61 10
LF4IMVS82.75 17381.93 18485.19 14082.08 29880.15 7385.53 13888.76 19568.01 23985.58 19187.75 24271.80 21886.85 27974.02 17793.87 19688.58 256
FIs85.35 12086.27 10882.60 19791.86 12257.31 29885.10 14393.05 8475.83 14291.02 8593.97 9473.57 19592.91 15473.97 17898.02 4197.58 12
IS-MVSNet86.66 9986.82 10286.17 12492.05 11566.87 20591.21 4288.64 19786.30 3089.60 11892.59 13469.22 22994.91 7173.89 17997.89 5396.72 28
EU-MVSNet75.12 26574.43 26777.18 28083.11 29359.48 27885.71 13782.43 27339.76 37085.64 19088.76 22744.71 35187.88 26673.86 18085.88 31284.16 303
ETV-MVS84.31 14283.91 15785.52 13688.58 20070.40 17584.50 15593.37 6478.76 10984.07 22178.72 34680.39 12995.13 6473.82 18192.98 21691.04 209
Anonymous2024052180.18 21581.25 19276.95 28283.15 29260.84 26582.46 21285.99 23968.76 23286.78 16493.73 10959.13 28677.44 33473.71 18297.55 7392.56 161
MVSTER77.09 24575.70 25681.25 21875.27 35761.08 25977.49 28885.07 25260.78 29786.55 17188.68 22943.14 35590.25 22473.69 18390.67 26592.42 167
ITE_SJBPF90.11 5090.72 16184.97 3890.30 16481.56 7290.02 10191.20 17382.40 9690.81 21173.58 18494.66 18094.56 80
RPMNet78.88 22478.28 23180.68 23179.58 32462.64 24182.58 20794.16 3174.80 15575.72 31192.59 13448.69 32695.56 4073.48 18582.91 33583.85 307
EG-PatchMatch MVS84.08 15184.11 15283.98 16692.22 10972.61 14982.20 22387.02 22772.63 18688.86 12891.02 17878.52 14191.11 20073.41 18691.09 25088.21 258
patch_mono-278.89 22379.39 21877.41 27984.78 26568.11 19575.60 30783.11 26760.96 29579.36 28289.89 21075.18 17672.97 34573.32 18792.30 22891.15 207
miper_lstm_enhance76.45 25576.10 25277.51 27776.72 34560.97 26464.69 35285.04 25463.98 27483.20 23288.22 23456.67 30178.79 33273.22 18893.12 21192.78 152
xiu_mvs_v1_base_debu80.84 19980.14 21082.93 19088.31 20571.73 16479.53 25587.17 21965.43 26479.59 27982.73 31776.94 16290.14 23273.22 18888.33 28786.90 276
xiu_mvs_v1_base80.84 19980.14 21082.93 19088.31 20571.73 16479.53 25587.17 21965.43 26479.59 27982.73 31776.94 16290.14 23273.22 18888.33 28786.90 276
xiu_mvs_v1_base_debi80.84 19980.14 21082.93 19088.31 20571.73 16479.53 25587.17 21965.43 26479.59 27982.73 31776.94 16290.14 23273.22 18888.33 28786.90 276
TranMVSNet+NR-MVSNet87.86 8388.76 7385.18 14194.02 5864.13 22484.38 15691.29 13584.88 3792.06 6793.84 10386.45 5893.73 11773.22 18898.66 1197.69 9
TAPA-MVS77.73 1285.71 11684.83 13588.37 8788.78 19779.72 7687.15 11393.50 6269.17 22685.80 18889.56 21480.76 12492.13 17173.21 19395.51 15093.25 135
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
miper_enhance_ethall77.83 23776.93 24480.51 23276.15 35058.01 29375.47 31188.82 19358.05 31183.59 22780.69 33164.41 25391.20 19673.16 19492.03 23692.33 173
旧先验281.73 22656.88 32086.54 17684.90 30372.81 195
114514_t83.10 17182.54 17684.77 14892.90 8669.10 19086.65 12390.62 15454.66 32881.46 25990.81 18776.98 16194.38 8972.62 19696.18 12390.82 216
UniMVSNet_ETH3D89.12 6490.72 4684.31 15997.00 264.33 22389.67 7088.38 20188.84 1594.29 1997.57 390.48 1491.26 19572.57 19797.65 6697.34 16
NR-MVSNet86.00 11086.22 10985.34 13993.24 7864.56 22082.21 22190.46 15680.99 7888.42 13891.97 15277.56 15293.85 11272.46 19898.65 1297.61 10
Baseline_NR-MVSNet84.00 15485.90 11578.29 26591.47 14153.44 32482.29 21787.00 23079.06 10389.55 11995.72 3077.20 15686.14 29172.30 19998.51 1795.28 59
Effi-MVS+-dtu85.82 11483.38 16193.14 387.13 22991.15 287.70 10588.42 19974.57 15883.56 22885.65 27478.49 14394.21 9672.04 20092.88 21894.05 102
mvs-test184.55 13682.12 18091.84 2087.13 22989.54 485.05 14488.42 19974.57 15880.60 26882.98 31078.49 14393.98 10872.04 20089.77 27292.00 187
PM-MVS80.20 21479.00 22183.78 17188.17 20986.66 1881.31 23366.81 35869.64 22388.33 14190.19 20364.58 25283.63 31371.99 20290.03 27081.06 345
EIA-MVS82.19 18181.23 19485.10 14387.95 21269.17 18983.22 19293.33 6770.42 21378.58 28979.77 34377.29 15594.20 9771.51 20388.96 28191.93 191
DPM-MVS80.10 21779.18 22082.88 19390.71 16269.74 17878.87 26890.84 14760.29 30175.64 31385.92 27267.28 23893.11 14671.24 20491.79 24185.77 287
OpenMVScopyleft76.72 1381.98 18682.00 18381.93 20684.42 27168.22 19488.50 9689.48 18466.92 25081.80 25491.86 15472.59 21090.16 22971.19 20591.25 24987.40 270
AllTest87.97 8187.40 9089.68 5791.59 13083.40 5089.50 7695.44 979.47 9588.00 14593.03 11882.66 9291.47 18770.81 20696.14 12594.16 97
TestCases89.68 5791.59 13083.40 5095.44 979.47 9588.00 14593.03 11882.66 9291.47 18770.81 20696.14 12594.16 97
ET-MVSNet_ETH3D75.28 26272.77 28282.81 19483.03 29468.11 19577.09 29176.51 30760.67 29977.60 29880.52 33538.04 36491.15 19970.78 20890.68 26489.17 246
EPP-MVSNet85.47 11885.04 13186.77 10891.52 13969.37 18291.63 3887.98 21181.51 7387.05 16191.83 15766.18 24695.29 5670.75 20996.89 9495.64 49
jason77.42 24275.75 25582.43 20387.10 23369.27 18477.99 27881.94 27751.47 34677.84 29485.07 28960.32 27689.00 25170.74 21089.27 27889.03 251
jason: jason.
MG-MVS80.32 21180.94 19778.47 26188.18 20852.62 33182.29 21785.01 25672.01 19979.24 28592.54 13869.36 22893.36 13770.65 21189.19 27989.45 239
QAPM82.59 17582.59 17582.58 19886.44 24066.69 20689.94 6490.36 16067.97 24184.94 20192.58 13672.71 20892.18 17070.63 21287.73 29788.85 254
CVMVSNet72.62 28771.41 29676.28 29283.25 28960.34 27083.50 18279.02 29537.77 37176.33 30385.10 28649.60 32587.41 27170.54 21377.54 35781.08 343
pmmvs686.52 10188.06 7981.90 20792.22 10962.28 24884.66 14989.15 19083.54 4989.85 10797.32 488.08 3886.80 28070.43 21497.30 8596.62 31
D2MVS76.84 24875.67 25780.34 23580.48 31962.16 25073.50 32384.80 26057.61 31582.24 24387.54 24651.31 31987.65 26870.40 21593.19 21091.23 206
PAPM_NR83.23 16883.19 16583.33 18090.90 15665.98 21088.19 9890.78 14978.13 11680.87 26687.92 24173.49 19892.42 16270.07 21688.40 28691.60 200
lupinMVS76.37 25674.46 26682.09 20485.54 25869.26 18576.79 29480.77 28550.68 35276.23 30582.82 31558.69 28988.94 25269.85 21788.77 28388.07 259
PVSNet_Blended_VisFu81.55 19080.49 20284.70 15191.58 13373.24 14184.21 15791.67 12562.86 27980.94 26487.16 25467.27 23992.87 15569.82 21888.94 28287.99 262
Patchmatch-RL test74.48 27373.68 27276.89 28584.83 26466.54 20772.29 32969.16 35157.70 31386.76 16586.33 26445.79 34082.59 31669.63 21990.65 26781.54 336
EPNet80.37 20978.41 23086.23 11976.75 34473.28 13987.18 11277.45 30176.24 13368.14 34488.93 22665.41 25093.85 11269.47 22096.12 12791.55 202
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CLD-MVS83.18 16982.64 17384.79 14789.05 19067.82 19977.93 27992.52 10268.33 23685.07 19881.54 32782.06 10492.96 15069.35 22197.91 5193.57 126
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
原ACMM184.60 15292.81 9274.01 13591.50 12862.59 28082.73 23890.67 19276.53 16994.25 9269.24 22295.69 14785.55 288
VDD-MVS84.23 14784.58 14383.20 18491.17 15065.16 21683.25 18984.97 25879.79 9187.18 15594.27 7674.77 18390.89 20869.24 22296.54 10893.55 129
CANet_DTU77.81 23977.05 24280.09 23981.37 30659.90 27483.26 18888.29 20469.16 22767.83 34783.72 30360.93 27189.47 24569.22 22489.70 27390.88 214
Anonymous2024052986.20 10887.13 9283.42 17990.19 17164.55 22184.55 15190.71 15085.85 3189.94 10595.24 4282.13 10290.40 22269.19 22596.40 11595.31 58
FMVSNet184.55 13685.45 12581.85 20990.27 17061.05 26086.83 11888.27 20578.57 11189.66 11495.64 3275.43 17390.68 21569.09 22695.33 15593.82 112
UGNet82.78 17281.64 18786.21 12286.20 25176.24 12586.86 11685.68 24277.07 12673.76 32492.82 12769.64 22691.82 18269.04 22793.69 20090.56 224
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
ANet_high83.17 17085.68 12175.65 29681.24 30745.26 36379.94 25092.91 9183.83 4391.33 8096.88 1080.25 13185.92 29368.89 22895.89 13795.76 46
Fast-Effi-MVS+-dtu82.54 17681.41 19185.90 12885.60 25676.53 12083.07 19489.62 18273.02 18279.11 28683.51 30580.74 12590.24 22668.76 22989.29 27690.94 212
pm-mvs183.69 15984.95 13379.91 24090.04 17759.66 27682.43 21387.44 21575.52 14687.85 14795.26 4181.25 11985.65 29768.74 23096.04 12894.42 88
CR-MVSNet74.00 27773.04 28076.85 28679.58 32462.64 24182.58 20776.90 30350.50 35375.72 31192.38 14148.07 32884.07 30968.72 23182.91 33583.85 307
KD-MVS_self_test81.93 18783.14 16678.30 26484.75 26652.75 32880.37 24589.42 18670.24 21890.26 9793.39 11374.55 18786.77 28168.61 23296.64 10395.38 55
IterMVS76.91 24776.34 25078.64 25780.91 31164.03 22576.30 30179.03 29464.88 27183.11 23389.16 22159.90 28084.46 30668.61 23285.15 31887.42 269
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
testdata79.54 24792.87 8772.34 15580.14 28959.91 30385.47 19491.75 16167.96 23685.24 29968.57 23492.18 23581.06 345
mvs_anonymous78.13 23578.76 22476.23 29479.24 33050.31 34778.69 27084.82 25961.60 29083.09 23592.82 12773.89 19287.01 27468.33 23586.41 30791.37 204
WR-MVS83.56 16284.40 14881.06 22393.43 7354.88 31678.67 27185.02 25581.24 7590.74 9091.56 16572.85 20691.08 20168.00 23698.04 3897.23 19
TransMVSNet (Re)84.02 15385.74 11978.85 25391.00 15455.20 31582.29 21787.26 21879.65 9488.38 14095.52 3583.00 8886.88 27867.97 23796.60 10694.45 87
无先验82.81 20285.62 24358.09 31091.41 19267.95 23884.48 298
112180.86 19879.81 21584.02 16493.93 6078.70 8781.64 22880.18 28855.43 32583.67 22591.15 17471.29 22191.41 19267.95 23893.06 21381.96 331
Fast-Effi-MVS+81.04 19680.57 19982.46 20287.50 22263.22 23378.37 27589.63 18168.01 23981.87 25082.08 32282.31 9792.65 15967.10 24088.30 29191.51 203
FMVSNet281.31 19281.61 18880.41 23486.38 24258.75 29083.93 16786.58 23272.43 18887.65 14992.98 12063.78 25890.22 22766.86 24193.92 19592.27 178
GA-MVS75.83 25974.61 26379.48 24881.87 30059.25 28073.42 32482.88 26968.68 23379.75 27881.80 32450.62 32289.46 24666.85 24285.64 31389.72 236
CNLPA83.55 16383.10 16784.90 14589.34 18583.87 4884.54 15388.77 19479.09 10283.54 22988.66 23074.87 17981.73 32166.84 24392.29 23089.11 247
tfpnnormal81.79 18882.95 16878.31 26388.93 19455.40 31180.83 24282.85 27076.81 12885.90 18794.14 8774.58 18686.51 28566.82 24495.68 14893.01 143
VPA-MVSNet83.47 16584.73 13679.69 24490.29 16957.52 29781.30 23588.69 19676.29 13187.58 15194.44 6780.60 12787.20 27366.60 24596.82 9994.34 91
VDDNet84.35 14185.39 12681.25 21895.13 3359.32 27985.42 14081.11 28186.41 2987.41 15396.21 1973.61 19490.61 21866.33 24696.85 9693.81 115
DP-MVS Recon84.05 15283.22 16386.52 11291.73 12875.27 12983.23 19192.40 10472.04 19882.04 24788.33 23377.91 14993.95 10966.17 24795.12 16590.34 229
GBi-Net82.02 18482.07 18181.85 20986.38 24261.05 26086.83 11888.27 20572.43 18886.00 18395.64 3263.78 25890.68 21565.95 24893.34 20593.82 112
test182.02 18482.07 18181.85 20986.38 24261.05 26086.83 11888.27 20572.43 18886.00 18395.64 3263.78 25890.68 21565.95 24893.34 20593.82 112
FMVSNet378.80 22778.55 22779.57 24682.89 29656.89 30381.76 22585.77 24169.04 22986.00 18390.44 19751.75 31890.09 23565.95 24893.34 20591.72 196
新几何182.95 18993.96 5978.56 8980.24 28755.45 32483.93 22391.08 17671.19 22288.33 26265.84 25193.07 21281.95 332
F-COLMAP84.97 13083.42 16089.63 5992.39 10083.40 5088.83 8991.92 11773.19 17980.18 27789.15 22277.04 16093.28 13865.82 25292.28 23192.21 181
ppachtmachnet_test74.73 27274.00 27076.90 28480.71 31656.89 30371.53 33278.42 29658.24 30979.32 28482.92 31457.91 29584.26 30865.60 25391.36 24889.56 238
API-MVS82.28 17982.61 17481.30 21786.29 24869.79 17788.71 9287.67 21478.42 11382.15 24684.15 30177.98 14791.59 18565.39 25492.75 22082.51 327
test111178.53 23178.85 22277.56 27692.22 10947.49 35682.61 20569.24 35072.43 18885.28 19594.20 8251.91 31690.07 23665.36 25596.45 11395.11 65
thisisatest051573.00 28570.52 29980.46 23381.45 30459.90 27473.16 32774.31 32157.86 31276.08 30877.78 34937.60 36692.12 17365.00 25691.45 24789.35 242
cascas76.29 25774.81 26280.72 23084.47 26862.94 23673.89 32187.34 21655.94 32275.16 31876.53 35763.97 25691.16 19865.00 25690.97 25788.06 260
test250674.12 27673.39 27676.28 29291.85 12344.20 36684.06 16248.20 37872.30 19481.90 24994.20 8227.22 37989.77 24164.81 25896.02 12994.87 70
MDA-MVSNet-bldmvs77.47 24176.90 24579.16 25179.03 33264.59 21866.58 34975.67 31273.15 18088.86 12888.99 22566.94 24081.23 32364.71 25988.22 29291.64 199
OpenMVS_ROBcopyleft70.19 1777.77 24077.46 23678.71 25684.39 27261.15 25881.18 23782.52 27162.45 28383.34 23087.37 24966.20 24588.66 25964.69 26085.02 31986.32 280
PS-MVSNAJ77.04 24676.53 24878.56 25887.09 23461.40 25475.26 31287.13 22261.25 29174.38 32277.22 35476.94 16290.94 20464.63 26184.83 32483.35 315
xiu_mvs_v2_base77.19 24476.75 24678.52 25987.01 23561.30 25675.55 31087.12 22561.24 29274.45 32078.79 34577.20 15690.93 20564.62 26284.80 32583.32 316
PatchT70.52 30172.76 28363.79 34279.38 32833.53 37677.63 28465.37 36073.61 16871.77 33292.79 13044.38 35275.65 34164.53 26385.37 31582.18 329
LFMVS80.15 21680.56 20078.89 25289.19 18955.93 30785.22 14273.78 32682.96 5684.28 21792.72 13157.38 29890.07 23663.80 26495.75 14590.68 220
ECVR-MVScopyleft78.44 23278.63 22677.88 27291.85 12348.95 35083.68 17669.91 34872.30 19484.26 21994.20 8251.89 31789.82 24063.58 26596.02 12994.87 70
131473.22 28272.56 28775.20 29880.41 32057.84 29481.64 22885.36 24551.68 34573.10 32776.65 35661.45 27085.19 30063.54 26679.21 35182.59 323
testdata286.43 28763.52 267
Patchmtry76.56 25377.46 23673.83 30579.37 32946.60 36082.41 21476.90 30373.81 16685.56 19292.38 14148.07 32883.98 31063.36 26895.31 15890.92 213
MSDG80.06 21879.99 21480.25 23683.91 28468.04 19777.51 28789.19 18977.65 11981.94 24883.45 30776.37 17086.31 28863.31 26986.59 30586.41 279
BH-RMVSNet80.53 20480.22 20881.49 21687.19 22866.21 20977.79 28286.23 23574.21 16283.69 22488.50 23173.25 20390.75 21263.18 27087.90 29487.52 268
test_yl78.71 22978.51 22879.32 24984.32 27358.84 28778.38 27385.33 24675.99 13882.49 23986.57 26058.01 29290.02 23862.74 27192.73 22189.10 248
DCV-MVSNet78.71 22978.51 22879.32 24984.32 27358.84 28778.38 27385.33 24675.99 13882.49 23986.57 26058.01 29290.02 23862.74 27192.73 22189.10 248
TinyColmap81.25 19382.34 17977.99 27085.33 26060.68 26882.32 21688.33 20371.26 20586.97 16292.22 15077.10 15986.98 27762.37 27395.17 16286.31 281
Anonymous20240521180.51 20581.19 19578.49 26088.48 20257.26 29976.63 29782.49 27281.21 7684.30 21692.24 14967.99 23586.24 28962.22 27495.13 16391.98 190
our_test_371.85 29371.59 29372.62 31180.71 31653.78 32169.72 33971.71 34258.80 30678.03 29180.51 33656.61 30278.84 33162.20 27586.04 31185.23 291
pmmvs-eth3d78.42 23377.04 24382.57 20087.44 22374.41 13380.86 24179.67 29155.68 32384.69 20590.31 20060.91 27285.42 29862.20 27591.59 24587.88 265
CMPMVSbinary59.41 2075.12 26573.57 27379.77 24175.84 35267.22 20081.21 23682.18 27450.78 35076.50 30187.66 24455.20 31082.99 31562.17 27790.64 26889.09 250
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
MIMVSNet183.63 16184.59 14280.74 22894.06 5762.77 23982.72 20384.53 26177.57 12190.34 9595.92 2576.88 16885.83 29561.88 27897.42 8193.62 124
BH-untuned80.96 19780.99 19680.84 22788.55 20168.23 19380.33 24688.46 19872.79 18486.55 17186.76 25974.72 18491.77 18361.79 27988.99 28082.52 326
AdaColmapbinary83.66 16083.69 15983.57 17790.05 17672.26 15786.29 13090.00 17578.19 11581.65 25687.16 25483.40 8594.24 9361.69 28094.76 17984.21 302
VPNet80.25 21281.68 18675.94 29592.46 9947.98 35476.70 29681.67 27973.45 17084.87 20292.82 12774.66 18586.51 28561.66 28196.85 9693.33 130
MAR-MVS80.24 21378.74 22584.73 14986.87 23978.18 9185.75 13587.81 21365.67 26377.84 29478.50 34773.79 19390.53 21961.59 28290.87 26085.49 290
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
PLCcopyleft73.85 1682.09 18380.31 20487.45 9990.86 15880.29 7285.88 13390.65 15268.17 23876.32 30486.33 26473.12 20492.61 16061.40 28390.02 27189.44 240
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
test-LLR67.21 31666.74 32068.63 32876.45 34855.21 31367.89 34367.14 35562.43 28465.08 35672.39 36243.41 35369.37 35161.00 28484.89 32281.31 338
test-mter65.00 32563.79 32868.63 32876.45 34855.21 31367.89 34367.14 35550.98 34965.08 35672.39 36228.27 37769.37 35161.00 28484.89 32281.31 338
PatchmatchNetpermissive69.71 30968.83 31072.33 31477.66 33953.60 32279.29 26069.99 34757.66 31472.53 32982.93 31346.45 33280.08 32960.91 28672.09 36383.31 317
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
MVS_030478.17 23477.23 24180.99 22684.13 28169.07 19181.39 23280.81 28476.28 13267.53 34989.11 22362.87 26686.77 28160.90 28792.01 23987.13 273
PVSNet_BlendedMVS78.80 22777.84 23481.65 21484.43 26963.41 22979.49 25890.44 15761.70 28975.43 31487.07 25769.11 23091.44 18960.68 28892.24 23290.11 234
PVSNet_Blended76.49 25475.40 25879.76 24284.43 26963.41 22975.14 31390.44 15757.36 31775.43 31478.30 34869.11 23091.44 18960.68 28887.70 29884.42 300
VNet79.31 22080.27 20576.44 28987.92 21353.95 32075.58 30984.35 26274.39 16182.23 24490.72 18972.84 20784.39 30760.38 29093.98 19490.97 211
LCM-MVSNet-Re83.48 16485.06 13078.75 25585.94 25555.75 31080.05 24894.27 2376.47 13096.09 594.54 6383.31 8689.75 24359.95 29194.89 17390.75 217
YYNet170.06 30570.44 30068.90 32573.76 36253.42 32558.99 36367.20 35458.42 30887.10 15885.39 28259.82 28167.32 35859.79 29283.50 33185.96 283
MDA-MVSNet_test_wron70.05 30670.44 30068.88 32673.84 36153.47 32358.93 36467.28 35358.43 30787.09 15985.40 28159.80 28267.25 35959.66 29383.54 33085.92 285
PAPR78.84 22578.10 23381.07 22285.17 26160.22 27182.21 22190.57 15562.51 28175.32 31684.61 29674.99 17892.30 16859.48 29488.04 29390.68 220
IB-MVS62.13 1971.64 29568.97 30979.66 24580.80 31562.26 24973.94 32076.90 30363.27 27668.63 34376.79 35533.83 37091.84 18159.28 29587.26 30084.88 295
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
PCF-MVS74.62 1582.15 18280.92 19885.84 13089.43 18372.30 15680.53 24391.82 12157.36 31787.81 14889.92 20977.67 15193.63 12158.69 29695.08 16691.58 201
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
1112_ss74.82 27073.74 27178.04 26989.57 18060.04 27276.49 29987.09 22654.31 32973.66 32579.80 34160.25 27786.76 28358.37 29784.15 32887.32 271
tpmvs70.16 30369.56 30771.96 31574.71 36048.13 35279.63 25375.45 31565.02 27070.26 33881.88 32345.34 34685.68 29658.34 29875.39 36082.08 330
UnsupCasMVSNet_eth71.63 29672.30 28969.62 32276.47 34752.70 33070.03 33880.97 28359.18 30479.36 28288.21 23560.50 27369.12 35458.33 29977.62 35687.04 274
tpmrst66.28 32266.69 32165.05 34072.82 36839.33 37178.20 27670.69 34553.16 33567.88 34680.36 33748.18 32774.75 34358.13 30070.79 36581.08 343
test_post178.85 2693.13 37645.19 34880.13 32858.11 301
SCA73.32 28072.57 28675.58 29781.62 30255.86 30878.89 26771.37 34361.73 28774.93 31983.42 30860.46 27487.01 27458.11 30182.63 33983.88 304
pmmvs474.92 26872.98 28180.73 22984.95 26271.71 16776.23 30377.59 30052.83 33677.73 29786.38 26256.35 30484.97 30257.72 30387.05 30285.51 289
Vis-MVSNet (Re-imp)77.82 23877.79 23577.92 27188.82 19651.29 34183.28 18771.97 33874.04 16382.23 24489.78 21157.38 29889.41 24857.22 30495.41 15293.05 141
ab-mvs79.67 21980.56 20076.99 28188.48 20256.93 30184.70 14886.06 23768.95 23080.78 26793.08 11775.30 17584.62 30556.78 30590.90 25989.43 241
baseline173.26 28173.54 27472.43 31384.92 26347.79 35579.89 25174.00 32265.93 25678.81 28886.28 26756.36 30381.63 32256.63 30679.04 35287.87 266
Test_1112_low_res73.90 27873.08 27976.35 29090.35 16855.95 30673.40 32586.17 23650.70 35173.14 32685.94 27158.31 29185.90 29456.51 30783.22 33287.20 272
TESTMET0.1,161.29 33260.32 33764.19 34172.06 36951.30 34067.89 34362.09 36345.27 36260.65 36569.01 36527.93 37864.74 36756.31 30881.65 34276.53 352
XXY-MVS74.44 27576.19 25169.21 32484.61 26752.43 33271.70 33177.18 30260.73 29880.60 26890.96 18275.44 17269.35 35356.13 30988.33 28785.86 286
MDTV_nov1_ep1368.29 31478.03 33643.87 36774.12 31972.22 33652.17 34067.02 35085.54 27545.36 34580.85 32555.73 31084.42 327
E-PMN61.59 33161.62 33361.49 34766.81 37555.40 31153.77 36660.34 36866.80 25258.90 36965.50 36840.48 36066.12 36455.72 31186.25 30962.95 366
MVS73.21 28372.59 28575.06 30080.97 31060.81 26681.64 22885.92 24046.03 36171.68 33377.54 35068.47 23389.77 24155.70 31285.39 31474.60 356
TR-MVS76.77 25075.79 25479.72 24386.10 25465.79 21277.14 29083.02 26865.20 26981.40 26082.10 32166.30 24490.73 21455.57 31385.27 31682.65 322
EPMVS62.47 32762.63 33162.01 34470.63 37238.74 37274.76 31552.86 37553.91 33167.71 34880.01 33939.40 36166.60 36255.54 31468.81 37080.68 347
MS-PatchMatch70.93 29970.22 30273.06 30981.85 30162.50 24473.82 32277.90 29852.44 33975.92 30981.27 32855.67 30781.75 32055.37 31577.70 35574.94 355
CL-MVSNet_self_test76.81 24977.38 23875.12 29986.90 23751.34 33973.20 32680.63 28668.30 23781.80 25488.40 23266.92 24180.90 32455.35 31694.90 17293.12 139
new-patchmatchnet70.10 30473.37 27760.29 35081.23 30816.95 38059.54 36074.62 31762.93 27880.97 26387.93 24062.83 26771.90 34855.24 31795.01 16992.00 187
CostFormer69.98 30768.68 31273.87 30477.14 34150.72 34579.26 26174.51 31951.94 34470.97 33784.75 29445.16 34987.49 27055.16 31879.23 35083.40 314
thres600view775.97 25875.35 26077.85 27487.01 23551.84 33780.45 24473.26 33075.20 15183.10 23486.31 26645.54 34189.05 25055.03 31992.24 23292.66 158
EMVS61.10 33460.81 33561.99 34565.96 37655.86 30853.10 36758.97 37067.06 24956.89 37263.33 36940.98 35867.03 36054.79 32086.18 31063.08 365
USDC76.63 25176.73 24776.34 29183.46 28757.20 30080.02 24988.04 20952.14 34283.65 22691.25 17063.24 26186.65 28454.66 32194.11 19185.17 292
CDS-MVSNet77.32 24375.40 25883.06 18689.00 19272.48 15377.90 28082.17 27560.81 29678.94 28783.49 30659.30 28488.76 25854.64 32292.37 22787.93 264
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
gm-plane-assit75.42 35644.97 36552.17 34072.36 36487.90 26554.10 323
PatchMatch-RL74.48 27373.22 27878.27 26687.70 21785.26 3575.92 30570.09 34664.34 27376.09 30781.25 32965.87 24978.07 33353.86 32483.82 32971.48 359
EPNet_dtu72.87 28671.33 29777.49 27877.72 33860.55 26982.35 21575.79 31066.49 25458.39 37181.06 33053.68 31385.98 29253.55 32592.97 21785.95 284
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
JIA-IIPM69.41 31066.64 32277.70 27573.19 36471.24 17075.67 30665.56 35970.42 21365.18 35592.97 12233.64 37183.06 31453.52 32669.61 36978.79 350
baseline269.77 30866.89 31878.41 26279.51 32658.09 29276.23 30369.57 34957.50 31664.82 35977.45 35246.02 33588.44 26053.08 32777.83 35488.70 255
KD-MVS_2432*160066.87 31865.81 32370.04 31867.50 37347.49 35662.56 35679.16 29261.21 29377.98 29280.61 33225.29 38182.48 31753.02 32884.92 32080.16 348
miper_refine_blended66.87 31865.81 32370.04 31867.50 37347.49 35662.56 35679.16 29261.21 29377.98 29280.61 33225.29 38182.48 31753.02 32884.92 32080.16 348
BH-w/o76.57 25276.07 25378.10 26886.88 23865.92 21177.63 28486.33 23365.69 26280.89 26579.95 34068.97 23290.74 21353.01 33085.25 31777.62 351
pmmvs570.73 30070.07 30372.72 31077.03 34352.73 32974.14 31875.65 31350.36 35472.17 33185.37 28355.42 30980.67 32652.86 33187.59 29984.77 296
tpm67.95 31468.08 31567.55 33278.74 33543.53 36875.60 30767.10 35754.92 32772.23 33088.10 23642.87 35675.97 33952.21 33280.95 34683.15 319
MVP-Stereo75.81 26073.51 27582.71 19589.35 18473.62 13680.06 24785.20 24960.30 30073.96 32387.94 23957.89 29689.45 24752.02 33374.87 36185.06 294
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
thres100view90075.45 26175.05 26176.66 28887.27 22551.88 33681.07 23873.26 33075.68 14483.25 23186.37 26345.54 34188.80 25451.98 33490.99 25489.31 243
tfpn200view974.86 26974.23 26876.74 28786.24 24952.12 33379.24 26273.87 32473.34 17381.82 25284.60 29746.02 33588.80 25451.98 33490.99 25489.31 243
thres40075.14 26374.23 26877.86 27386.24 24952.12 33379.24 26273.87 32473.34 17381.82 25284.60 29746.02 33588.80 25451.98 33490.99 25492.66 158
HyFIR lowres test75.12 26572.66 28482.50 20191.44 14265.19 21572.47 32887.31 21746.79 35880.29 27484.30 29952.70 31592.10 17451.88 33786.73 30490.22 230
TAMVS78.08 23676.36 24983.23 18290.62 16372.87 14279.08 26580.01 29061.72 28881.35 26186.92 25863.96 25788.78 25750.61 33893.01 21588.04 261
sss66.92 31767.26 31765.90 33677.23 34051.10 34464.79 35171.72 34152.12 34370.13 33980.18 33857.96 29465.36 36650.21 33981.01 34581.25 340
FPMVS72.29 29172.00 29073.14 30888.63 19885.00 3774.65 31767.39 35271.94 20077.80 29687.66 24450.48 32375.83 34049.95 34079.51 34758.58 370
tpm cat166.76 32065.21 32671.42 31677.09 34250.62 34678.01 27773.68 32844.89 36368.64 34279.00 34445.51 34382.42 31949.91 34170.15 36681.23 342
CHOSEN 1792x268872.45 28870.56 29878.13 26790.02 17863.08 23468.72 34183.16 26642.99 36775.92 30985.46 27957.22 30085.18 30149.87 34281.67 34086.14 282
HY-MVS64.64 1873.03 28472.47 28874.71 30183.36 28854.19 31882.14 22481.96 27656.76 32169.57 34186.21 26860.03 27884.83 30449.58 34382.65 33785.11 293
MDTV_nov1_ep13_2view27.60 37970.76 33446.47 36061.27 36345.20 34749.18 34483.75 309
PMMVS61.65 33060.38 33665.47 33965.40 37769.26 18563.97 35461.73 36636.80 37260.11 36668.43 36659.42 28366.35 36348.97 34578.57 35360.81 367
WTY-MVS67.91 31568.35 31366.58 33580.82 31448.12 35365.96 35072.60 33353.67 33271.20 33581.68 32658.97 28769.06 35548.57 34681.67 34082.55 324
UnsupCasMVSNet_bld69.21 31169.68 30667.82 33179.42 32751.15 34267.82 34675.79 31054.15 33077.47 29985.36 28459.26 28570.64 35048.46 34779.35 34981.66 334
tpm268.45 31366.83 31973.30 30778.93 33448.50 35179.76 25271.76 34047.50 35769.92 34083.60 30442.07 35788.40 26148.44 34879.51 34783.01 321
Patchmatch-test65.91 32367.38 31661.48 34875.51 35443.21 36968.84 34063.79 36262.48 28272.80 32883.42 30844.89 35059.52 37048.27 34986.45 30681.70 333
FMVSNet572.10 29271.69 29273.32 30681.57 30353.02 32776.77 29578.37 29763.31 27576.37 30291.85 15536.68 36778.98 33047.87 35092.45 22687.95 263
dp60.70 33660.29 33861.92 34672.04 37038.67 37370.83 33364.08 36151.28 34760.75 36477.28 35336.59 36871.58 34947.41 35162.34 37275.52 354
N_pmnet70.20 30268.80 31174.38 30380.91 31184.81 4059.12 36276.45 30855.06 32675.31 31782.36 32055.74 30654.82 37147.02 35287.24 30183.52 311
thres20072.34 29071.55 29574.70 30283.48 28651.60 33875.02 31473.71 32770.14 21978.56 29080.57 33446.20 33388.20 26446.99 35389.29 27684.32 301
test20.0373.75 27974.59 26571.22 31781.11 30951.12 34370.15 33772.10 33770.42 21380.28 27691.50 16664.21 25574.72 34446.96 35494.58 18287.82 267
pmmvs362.47 32760.02 33969.80 32171.58 37164.00 22670.52 33558.44 37139.77 36966.05 35175.84 35827.10 38072.28 34646.15 35584.77 32673.11 357
testgi72.36 28974.61 26365.59 33780.56 31842.82 37068.29 34273.35 32966.87 25181.84 25189.93 20872.08 21566.92 36146.05 35692.54 22587.01 275
PVSNet58.17 2166.41 32165.63 32568.75 32781.96 29949.88 34962.19 35872.51 33551.03 34868.04 34575.34 36050.84 32174.77 34245.82 35782.96 33381.60 335
gg-mvs-nofinetune68.96 31269.11 30868.52 33076.12 35145.32 36283.59 17855.88 37386.68 2664.62 36097.01 730.36 37483.97 31144.78 35882.94 33476.26 353
Anonymous2023120671.38 29771.88 29169.88 32086.31 24654.37 31770.39 33674.62 31752.57 33876.73 30088.76 22759.94 27972.06 34744.35 35993.23 20983.23 318
CHOSEN 280x42059.08 33756.52 34266.76 33476.51 34664.39 22249.62 36859.00 36943.86 36555.66 37368.41 36735.55 36968.21 35743.25 36076.78 35967.69 364
ADS-MVSNet265.87 32463.64 32972.55 31273.16 36556.92 30267.10 34774.81 31649.74 35566.04 35282.97 31146.71 33077.26 33542.29 36169.96 36783.46 312
ADS-MVSNet61.90 32962.19 33261.03 34973.16 36536.42 37467.10 34761.75 36549.74 35566.04 35282.97 31146.71 33063.21 36842.29 36169.96 36783.46 312
DSMNet-mixed60.98 33561.61 33459.09 35272.88 36745.05 36474.70 31646.61 37926.20 37365.34 35490.32 19955.46 30863.12 36941.72 36381.30 34469.09 363
MIMVSNet71.09 29871.59 29369.57 32387.23 22650.07 34878.91 26671.83 33960.20 30271.26 33491.76 16055.08 31176.09 33841.06 36487.02 30382.54 325
test0.0.03 164.66 32664.36 32765.57 33875.03 35946.89 35964.69 35261.58 36762.43 28471.18 33677.54 35043.41 35368.47 35640.75 36582.65 33781.35 337
PAPM71.77 29470.06 30476.92 28386.39 24153.97 31976.62 29886.62 23153.44 33363.97 36184.73 29557.79 29792.34 16639.65 36681.33 34384.45 299
MVS-HIRNet61.16 33362.92 33055.87 35379.09 33135.34 37571.83 33057.98 37246.56 35959.05 36891.14 17549.95 32476.43 33738.74 36771.92 36455.84 371
GG-mvs-BLEND67.16 33373.36 36346.54 36184.15 15855.04 37458.64 37061.95 37129.93 37583.87 31238.71 36876.92 35871.07 360
new_pmnet55.69 33957.66 34149.76 35575.47 35530.59 37759.56 35951.45 37643.62 36662.49 36275.48 35940.96 35949.15 37437.39 36972.52 36269.55 362
PVSNet_051.08 2256.10 33854.97 34359.48 35175.12 35853.28 32655.16 36561.89 36444.30 36459.16 36762.48 37054.22 31265.91 36535.40 37047.01 37359.25 369
wuyk23d75.13 26479.30 21962.63 34375.56 35375.18 13080.89 24073.10 33275.06 15394.76 1295.32 3887.73 4252.85 37234.16 37197.11 8959.85 368
MVEpermissive40.22 2351.82 34150.47 34455.87 35362.66 37951.91 33531.61 37139.28 38040.65 36850.76 37474.98 36156.24 30544.67 37533.94 37264.11 37171.04 361
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
PMMVS255.64 34059.27 34044.74 35664.30 37812.32 38140.60 36949.79 37753.19 33465.06 35884.81 29353.60 31449.76 37332.68 37389.41 27572.15 358
test_method30.46 34229.60 34533.06 35717.99 3813.84 38313.62 37273.92 3232.79 37518.29 37753.41 37228.53 37643.25 37622.56 37435.27 37552.11 372
tmp_tt20.25 34424.50 3477.49 3594.47 3828.70 38234.17 37025.16 3821.00 37732.43 37618.49 37439.37 3629.21 37821.64 37543.75 3744.57 374
DeepMVS_CXcopyleft24.13 35832.95 38029.49 37821.63 38312.07 37437.95 37545.07 37330.84 37319.21 37717.94 37633.06 37623.69 373
test1236.27 3478.08 3500.84 3601.11 3840.57 38462.90 3550.82 3840.54 3781.07 3802.75 3791.26 3830.30 3791.04 3771.26 3781.66 375
testmvs5.91 3487.65 3510.72 3611.20 3830.37 38559.14 3610.67 3850.49 3791.11 3792.76 3780.94 3840.24 3801.02 3781.47 3771.55 376
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 3790.00 377
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 3790.00 377
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 3790.00 377
cdsmvs_eth3d_5k20.81 34327.75 3460.00 3620.00 3850.00 3860.00 37385.44 2440.00 3800.00 38182.82 31581.46 1160.00 3810.00 3790.00 3790.00 377
pcd_1.5k_mvsjas6.41 3468.55 3490.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 38076.94 1620.00 3810.00 3790.00 3790.00 377
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 3790.00 377
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 3790.00 377
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 3790.00 377
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 3790.00 377
ab-mvs-re6.65 3458.87 3480.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 38179.80 3410.00 3850.00 3810.00 3790.00 3790.00 377
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 3790.00 377
FOURS196.08 1287.41 1396.19 295.83 492.95 296.57 2
test_one_060193.85 6373.27 14094.11 3786.57 2793.47 4194.64 6188.42 27
eth-test20.00 385
eth-test0.00 385
test_241102_ONE94.18 5072.65 14493.69 5483.62 4694.11 2393.78 10790.28 1595.50 49
save fliter93.75 6477.44 10486.31 12889.72 17870.80 209
test072694.16 5372.56 15090.63 4993.90 4683.61 4793.75 3194.49 6589.76 19
GSMVS83.88 304
test_part293.86 6277.77 9892.84 50
sam_mvs146.11 33483.88 304
sam_mvs45.92 339
MTGPAbinary91.81 122
test_post3.10 37745.43 34477.22 336
patchmatchnet-post81.71 32545.93 33887.01 274
MTMP90.66 4733.14 381
TEST992.34 10279.70 7783.94 16590.32 16165.41 26884.49 20890.97 18082.03 10693.63 121
test_892.09 11378.87 8583.82 17090.31 16365.79 25884.36 21190.96 18281.93 10893.44 133
agg_prior91.58 13377.69 9990.30 16484.32 21293.18 141
test_prior478.97 8484.59 150
test_prior86.32 11590.59 16471.99 16192.85 9394.17 10092.80 150
新几何281.72 227
旧先验191.97 11671.77 16381.78 27891.84 15673.92 19193.65 20183.61 310
原ACMM282.26 220
test22293.31 7676.54 11779.38 25977.79 29952.59 33782.36 24290.84 18666.83 24291.69 24381.25 340
segment_acmp81.94 107
testdata179.62 25473.95 165
test1286.57 11090.74 16072.63 14890.69 15182.76 23779.20 13794.80 7495.32 15692.27 178
plane_prior793.45 7177.31 108
plane_prior692.61 9376.54 11774.84 180
plane_prior492.95 123
plane_prior376.85 11577.79 11886.55 171
plane_prior289.45 7879.44 97
plane_prior192.83 91
plane_prior76.42 12287.15 11375.94 14195.03 168
n20.00 386
nn0.00 386
door-mid74.45 320
test1191.46 129
door72.57 334
HQP5-MVS70.66 173
HQP-NCC91.19 14784.77 14573.30 17580.55 271
ACMP_Plane91.19 14784.77 14573.30 17580.55 271
HQP4-MVS80.56 27094.61 8193.56 127
HQP3-MVS92.68 9994.47 184
HQP2-MVS72.10 213
NP-MVS91.95 11774.55 13290.17 205
ACMMP++_ref95.74 146
ACMMP++97.35 82
Test By Simon79.09 138