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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
PMVScopyleft80.48 690.08 4190.66 4788.34 8696.71 392.97 190.31 5489.57 18288.51 1990.11 9795.12 4590.98 788.92 25377.55 14297.07 8983.13 320
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
Effi-MVS+-dtu85.82 11283.38 16093.14 387.13 22891.15 287.70 10488.42 19774.57 15783.56 22785.65 27478.49 14394.21 9572.04 20092.88 21894.05 100
TDRefinement93.52 293.39 393.88 195.94 1590.26 395.70 496.46 290.58 892.86 4896.29 1688.16 3594.17 9986.07 4398.48 1897.22 19
mvs-test184.55 13582.12 17991.84 2087.13 22889.54 485.05 14488.42 19774.57 15780.60 26882.98 31078.49 14393.98 10772.04 20089.77 27292.00 187
RPSCF88.00 7986.93 9791.22 3190.08 17289.30 589.68 6791.11 13979.26 10089.68 11194.81 5582.44 9487.74 26776.54 15488.74 28596.61 30
test117292.40 792.41 792.37 694.68 4589.04 691.98 3293.62 5790.14 1193.63 3694.16 8588.83 2495.51 4587.11 3097.54 7492.54 163
abl_693.02 493.16 492.60 494.73 4488.99 793.26 1294.19 3089.11 1294.43 1695.27 3891.86 395.09 6487.54 1898.02 4193.71 117
SR-MVS-dyc-post92.41 692.41 792.39 594.13 5588.95 892.87 1494.16 3188.75 1693.79 2994.43 6788.83 2495.51 4587.16 2897.60 6892.73 153
RE-MVS-def92.61 594.13 5588.95 892.87 1494.16 3188.75 1693.79 2994.43 6790.64 1187.16 2897.60 6892.73 153
mPP-MVS91.69 1391.47 2492.37 696.04 1388.48 1092.72 1892.60 10083.09 5491.54 7394.25 7987.67 4395.51 4587.21 2798.11 3793.12 139
SR-MVS92.23 892.34 991.91 1794.89 3987.85 1192.51 2493.87 4988.20 2193.24 4294.02 9190.15 1795.67 3486.82 3297.34 8192.19 182
CP-MVS91.67 1491.58 2191.96 1495.29 3287.62 1293.38 993.36 6583.16 5391.06 8394.00 9288.26 3295.71 3287.28 2698.39 2192.55 162
FOURS196.08 1287.41 1396.19 295.83 492.95 296.57 2
EGC-MVSNET74.79 27169.99 30589.19 6694.89 3987.00 1491.89 3686.28 2321.09 3762.23 37895.98 2381.87 11289.48 24379.76 11395.96 13191.10 208
CPTT-MVS89.39 5988.98 6890.63 4195.09 3486.95 1592.09 3092.30 10679.74 9287.50 15192.38 14081.42 11793.28 13783.07 7597.24 8491.67 198
MP-MVScopyleft91.14 2790.91 4391.83 2196.18 1186.88 1692.20 2893.03 8682.59 6088.52 13594.37 7486.74 5395.41 5286.32 3798.21 3193.19 137
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
anonymousdsp89.73 5388.88 7092.27 989.82 17886.67 1790.51 5090.20 16969.87 22195.06 1196.14 2184.28 7593.07 14787.68 1396.34 11697.09 21
PM-MVS80.20 21479.00 22083.78 17188.17 20886.66 1881.31 23366.81 35869.64 22288.33 14090.19 20264.58 25083.63 31371.99 20290.03 27081.06 345
zzz-MVS91.27 2291.26 3391.29 2996.59 486.29 1988.94 8491.81 12184.07 4092.00 6694.40 7186.63 5495.28 5788.59 598.31 2492.30 174
MTAPA91.52 1691.60 2091.29 2996.59 486.29 1992.02 3191.81 12184.07 4092.00 6694.40 7186.63 5495.28 5788.59 598.31 2492.30 174
XVS91.54 1591.36 2692.08 1095.64 2486.25 2192.64 1993.33 6785.07 3589.99 10194.03 9086.57 5695.80 2587.35 2397.62 6694.20 92
X-MVStestdata85.04 12582.70 17092.08 1095.64 2486.25 2192.64 1993.33 6785.07 3589.99 10116.05 37586.57 5695.80 2587.35 2397.62 6694.20 92
COLMAP_ROBcopyleft83.01 391.97 1191.95 1292.04 1293.68 6886.15 2393.37 1095.10 1490.28 992.11 6395.03 4689.75 2194.93 6979.95 11098.27 2795.04 65
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
MSP-MVS89.08 6588.16 7791.83 2195.76 1886.14 2492.75 1793.90 4678.43 11289.16 12492.25 14772.03 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
XVG-OURS89.18 6288.83 7190.23 4894.28 4886.11 2585.91 13193.60 6080.16 8889.13 12593.44 11183.82 7990.98 20283.86 6895.30 15893.60 124
XVG-OURS-SEG-HR89.59 5589.37 6190.28 4794.47 4685.95 2686.84 11793.91 4580.07 9086.75 16593.26 11393.64 290.93 20484.60 6290.75 26393.97 103
ACMMPcopyleft91.91 1291.87 1792.03 1395.53 2785.91 2793.35 1194.16 3182.52 6192.39 5994.14 8689.15 2395.62 3587.35 2398.24 2894.56 78
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
region2R91.44 2091.30 3291.87 1995.75 1985.90 2892.63 2193.30 7281.91 6890.88 8894.21 8087.75 4195.87 1987.60 1697.71 6293.83 109
ACMMPR91.49 1791.35 2891.92 1695.74 2085.88 2992.58 2293.25 7581.99 6691.40 7694.17 8487.51 4495.87 1987.74 1197.76 5893.99 101
HPM-MVS++copyleft88.93 6888.45 7590.38 4594.92 3785.85 3089.70 6591.27 13578.20 11486.69 16892.28 14680.36 13095.06 6686.17 4296.49 10990.22 230
PGM-MVS91.20 2590.95 4291.93 1595.67 2385.85 3090.00 5893.90 4680.32 8691.74 7294.41 7088.17 3495.98 1186.37 3697.99 4393.96 104
HPM-MVS_fast92.50 592.54 692.37 695.93 1685.81 3292.99 1394.23 2685.21 3492.51 5695.13 4490.65 1095.34 5488.06 998.15 3695.95 42
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 14291.10 197.53 7596.58 31
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
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 5499.27 199.54 1
PatchMatch-RL74.48 27373.22 27878.27 26687.70 21685.26 3575.92 30570.09 34664.34 27376.09 30781.25 32965.87 24778.07 33353.86 32483.82 32971.48 359
APD-MVS_3200maxsize92.05 1092.24 1091.48 2493.02 8385.17 3692.47 2695.05 1587.65 2493.21 4394.39 7390.09 1895.08 6586.67 3397.60 6894.18 94
FPMVS72.29 29172.00 29073.14 30888.63 19785.00 3774.65 31767.39 35271.94 19977.80 29687.66 24450.48 32275.83 34049.95 34079.51 34758.58 370
ITE_SJBPF90.11 5090.72 16084.97 3890.30 16381.56 7290.02 10091.20 17282.40 9690.81 21073.58 18494.66 17994.56 78
DeepPCF-MVS81.24 587.28 8886.21 10890.49 4391.48 13984.90 3983.41 18492.38 10570.25 21789.35 12290.68 19082.85 9094.57 8279.55 11695.95 13292.00 187
N_pmnet70.20 30268.80 31174.38 30380.91 31184.81 4059.12 36276.45 30855.06 32675.31 31782.36 32055.74 30554.82 37147.02 35287.24 30183.52 311
mvs_tets89.78 5289.27 6391.30 2893.51 7184.79 4189.89 6390.63 15270.00 22094.55 1596.67 1187.94 3993.59 12484.27 6495.97 13095.52 50
jajsoiax89.41 5888.81 7291.19 3293.38 7584.72 4289.70 6590.29 16669.27 22494.39 1796.38 1586.02 6493.52 12883.96 6695.92 13595.34 54
HPM-MVScopyleft92.13 992.20 1191.91 1795.58 2684.67 4393.51 894.85 1682.88 5791.77 7193.94 10090.55 1395.73 3188.50 798.23 2995.33 55
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
HFP-MVS91.30 2191.39 2591.02 3395.43 2984.66 4492.58 2293.29 7381.99 6691.47 7493.96 9688.35 3095.56 3987.74 1197.74 6092.85 148
#test#90.49 3690.31 5191.02 3395.43 2984.66 4490.65 4693.29 7377.00 12791.47 7493.96 9688.35 3095.56 3984.88 5897.74 6092.85 148
XVG-ACMP-BASELINE89.98 4789.84 5490.41 4494.91 3884.50 4689.49 7593.98 4279.68 9392.09 6493.89 10183.80 8093.10 14682.67 8098.04 3893.64 122
LS3D90.60 3390.34 5091.38 2789.03 19084.23 4793.58 694.68 1990.65 790.33 9593.95 9984.50 7295.37 5380.87 10095.50 15094.53 81
CNLPA83.55 16283.10 16684.90 14489.34 18483.87 4884.54 15388.77 19279.09 10283.54 22888.66 23074.87 17981.73 32166.84 24392.29 23089.11 247
ACMM79.39 990.65 3190.99 4089.63 5795.03 3583.53 4989.62 7093.35 6679.20 10193.83 2893.60 11090.81 892.96 14985.02 5698.45 1992.41 168
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
AllTest87.97 8087.40 8989.68 5591.59 12983.40 5089.50 7495.44 979.47 9588.00 14493.03 11782.66 9291.47 18670.81 20696.14 12494.16 95
TestCases89.68 5591.59 12983.40 5095.44 979.47 9588.00 14493.03 11782.66 9291.47 18670.81 20696.14 12494.16 95
F-COLMAP84.97 12883.42 15989.63 5792.39 9983.40 5088.83 8791.92 11673.19 17880.18 27789.15 22277.04 16093.28 13765.82 25292.28 23192.21 181
MVS_111021_LR84.28 14383.76 15785.83 13089.23 18783.07 5380.99 23983.56 26472.71 18486.07 18189.07 22481.75 11486.19 29077.11 14893.36 20488.24 257
ZNCC-MVS91.26 2391.34 2991.01 3595.73 2183.05 5492.18 2994.22 2780.14 8991.29 7993.97 9387.93 4095.87 1988.65 497.96 4894.12 98
test_djsdf89.62 5489.01 6691.45 2592.36 10082.98 5591.98 3290.08 17271.54 20094.28 2196.54 1381.57 11594.27 9086.26 3896.49 10997.09 21
UA-Net91.49 1791.53 2291.39 2694.98 3682.95 5693.52 792.79 9588.22 2088.53 13497.64 283.45 8494.55 8486.02 4698.60 1396.67 28
GST-MVS90.96 2891.01 3990.82 3895.45 2882.73 5791.75 3793.74 5280.98 7991.38 7793.80 10387.20 4895.80 2587.10 3197.69 6393.93 105
h-mvs3384.25 14482.76 16988.72 7591.82 12682.60 5884.00 16484.98 25671.27 20286.70 16690.55 19463.04 26293.92 10978.26 13194.20 19089.63 237
hse-mvs283.47 16481.81 18488.47 8191.03 15282.27 5982.61 20583.69 26271.27 20286.70 16686.05 27063.04 26292.41 16278.26 13193.62 20390.71 218
AUN-MVS81.18 19378.78 22388.39 8490.93 15482.14 6082.51 21183.67 26364.69 27280.29 27485.91 27351.07 31992.38 16376.29 15793.63 20290.65 222
LPG-MVS_test91.47 1991.68 1890.82 3894.75 4281.69 6190.00 5894.27 2382.35 6393.67 3494.82 5291.18 595.52 4385.36 5198.73 795.23 60
LGP-MVS_train90.82 3894.75 4281.69 6194.27 2382.35 6393.67 3494.82 5291.18 595.52 4385.36 5198.73 795.23 60
OMC-MVS88.19 7587.52 8690.19 4991.94 11881.68 6387.49 10793.17 7876.02 13788.64 13291.22 17084.24 7693.37 13577.97 13897.03 9095.52 50
3Dnovator+83.92 289.97 4989.66 5690.92 3691.27 14481.66 6491.25 4094.13 3688.89 1388.83 12994.26 7877.55 15395.86 2284.88 5895.87 13795.24 59
TSAR-MVS + GP.83.95 15482.69 17187.72 9389.27 18681.45 6583.72 17481.58 28074.73 15585.66 18886.06 26972.56 21192.69 15775.44 16695.21 15989.01 253
APD-MVScopyleft89.54 5689.63 5789.26 6592.57 9481.34 6690.19 5693.08 8280.87 8191.13 8193.19 11486.22 6195.97 1282.23 8697.18 8690.45 227
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
ACMP79.16 1090.54 3490.60 4890.35 4694.36 4780.98 6789.16 8094.05 4079.03 10492.87 4793.74 10790.60 1295.21 6182.87 7898.76 494.87 68
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
SteuartSystems-ACMMP91.16 2691.36 2690.55 4293.91 6180.97 6891.49 3993.48 6382.82 5892.60 5593.97 9388.19 3396.29 487.61 1598.20 3394.39 87
Skip Steuart: Steuart Systems R&D Blog.
testtj89.51 5789.48 6089.59 5992.26 10580.80 6990.14 5793.54 6183.37 5090.57 9292.55 13684.99 6896.15 581.26 9496.61 10491.83 193
ZD-MVS92.22 10880.48 7091.85 11871.22 20590.38 9392.98 11986.06 6396.11 681.99 8896.75 100
OurMVSNet-221017-090.01 4689.74 5590.83 3793.16 8180.37 7191.91 3593.11 7981.10 7795.32 1097.24 572.94 20594.85 7285.07 5497.78 5697.26 16
PLCcopyleft73.85 1682.09 18280.31 20387.45 9790.86 15780.29 7285.88 13390.65 15168.17 23776.32 30486.33 26473.12 20492.61 15961.40 28390.02 27189.44 240
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
LF4IMVS82.75 17281.93 18385.19 13982.08 29880.15 7385.53 13888.76 19368.01 23985.58 19087.75 24271.80 21886.85 27974.02 17793.87 19688.58 256
MP-MVS-pluss90.81 2991.08 3689.99 5195.97 1479.88 7488.13 9894.51 2175.79 14392.94 4594.96 4788.36 2995.01 6790.70 298.40 2095.09 64
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
OPM-MVS89.80 5189.97 5289.27 6494.76 4179.86 7586.76 12192.78 9678.78 10792.51 5693.64 10988.13 3693.84 11384.83 6097.55 7194.10 99
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
TAPA-MVS77.73 1285.71 11484.83 13388.37 8588.78 19679.72 7687.15 11293.50 6269.17 22585.80 18789.56 21380.76 12492.13 17073.21 19395.51 14993.25 135
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TEST992.34 10179.70 7783.94 16590.32 16065.41 26884.49 20790.97 17982.03 10693.63 120
train_agg85.98 11085.28 12588.07 9092.34 10179.70 7783.94 16590.32 16065.79 25884.49 20790.97 17981.93 10893.63 12081.21 9596.54 10790.88 214
ACMMP_NAP90.65 3191.07 3889.42 6295.93 1679.54 7989.95 6193.68 5677.65 11991.97 6894.89 4988.38 2895.45 5089.27 397.87 5393.27 133
SMA-MVScopyleft90.31 3890.48 4989.83 5295.31 3179.52 8090.98 4493.24 7675.37 15092.84 4995.28 3785.58 6696.09 787.92 1097.76 5893.88 107
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
Regformer-286.74 9686.08 11088.73 7484.18 27979.20 8183.52 17989.33 18683.33 5189.92 10585.07 28983.23 8793.16 14283.39 7192.72 22393.83 109
CS-MVS88.14 7687.67 8489.54 6189.56 18079.18 8290.47 5194.77 1879.37 9984.32 21189.33 21883.87 7794.53 8582.45 8294.89 17294.90 66
DeepC-MVS82.31 489.15 6389.08 6589.37 6393.64 6979.07 8388.54 9494.20 2873.53 16889.71 11094.82 5285.09 6795.77 3084.17 6598.03 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
test_prior478.97 8484.59 150
test_892.09 11278.87 8583.82 17090.31 16265.79 25884.36 21090.96 18181.93 10893.44 132
NCCC87.36 8786.87 9888.83 7092.32 10378.84 8686.58 12591.09 14078.77 10884.85 20290.89 18380.85 12395.29 5581.14 9695.32 15592.34 172
112180.86 19779.81 21484.02 16493.93 6078.70 8781.64 22880.18 28855.43 32583.67 22491.15 17371.29 22191.41 19167.95 23893.06 21381.96 331
DPE-MVScopyleft90.53 3591.08 3688.88 6993.38 7578.65 8889.15 8194.05 4084.68 3893.90 2594.11 8888.13 3696.30 384.51 6397.81 5591.70 197
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
新几何182.95 18993.96 5978.56 8980.24 28755.45 32483.93 22291.08 17571.19 22288.33 26265.84 25193.07 21281.95 332
ETH3D cwj APD-0.1687.83 8487.62 8588.47 8191.21 14578.20 9087.26 10994.54 2072.05 19688.89 12692.31 14483.86 7894.24 9381.59 9396.87 9492.97 147
MAR-MVS80.24 21378.74 22584.73 14986.87 23878.18 9185.75 13587.81 21165.67 26377.84 29478.50 34773.79 19390.53 21861.59 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
APDe-MVS91.22 2491.92 1389.14 6792.97 8578.04 9292.84 1694.14 3583.33 5193.90 2595.73 2788.77 2696.41 187.60 1697.98 4592.98 144
MSC_two_6792asdad88.81 7191.55 13577.99 9391.01 14296.05 887.45 1998.17 3492.40 169
No_MVS88.81 7191.55 13577.99 9391.01 14296.05 887.45 1998.17 3492.40 169
PS-MVSNAJss88.31 7387.90 7989.56 6093.31 7777.96 9587.94 10191.97 11470.73 21094.19 2296.67 1176.94 16294.57 8283.07 7596.28 11896.15 34
OPU-MVS88.27 8791.89 12077.83 9690.47 5191.22 17081.12 12094.68 7674.48 17295.35 15392.29 176
test_part293.86 6277.77 9792.84 49
agg_prior185.72 11385.20 12687.28 9991.58 13277.69 9883.69 17590.30 16366.29 25584.32 21191.07 17682.13 10293.18 14081.02 9796.36 11590.98 210
agg_prior91.58 13277.69 9890.30 16384.32 21193.18 140
Regformer-486.41 10085.71 11888.52 7984.27 27577.57 10084.07 16088.00 20882.82 5889.84 10785.48 27782.06 10492.77 15583.83 6991.04 25295.22 62
DP-MVS88.60 7189.01 6687.36 9891.30 14277.50 10187.55 10592.97 8987.95 2289.62 11492.87 12584.56 7193.89 11077.65 14096.62 10390.70 219
CS-MVS-test87.00 9186.43 10388.71 7689.46 18177.46 10289.42 7895.73 677.87 11781.64 25787.25 25282.43 9594.53 8577.65 14096.46 11194.14 97
xxxxxxxxxxxxxcwj89.04 6689.13 6488.79 7393.75 6477.44 10386.31 12895.27 1270.80 20892.28 6093.80 10386.89 5194.64 7885.52 4997.51 7694.30 90
save fliter93.75 6477.44 10386.31 12889.72 17770.80 208
Vis-MVSNetpermissive86.86 9386.58 10187.72 9392.09 11277.43 10587.35 10892.09 11078.87 10684.27 21794.05 8978.35 14593.65 11880.54 10691.58 24692.08 184
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
PHI-MVS86.38 10185.81 11588.08 8988.44 20377.34 10689.35 7993.05 8373.15 17984.76 20387.70 24378.87 14094.18 9780.67 10496.29 11792.73 153
plane_prior793.45 7277.31 107
CNVR-MVS87.81 8587.68 8388.21 8892.87 8777.30 10885.25 14191.23 13677.31 12487.07 15991.47 16682.94 8994.71 7584.67 6196.27 12092.62 160
ETH3D-3000-0.188.85 6988.96 6988.52 7991.94 11877.27 10988.71 9095.26 1376.08 13490.66 9192.69 13184.48 7393.83 11483.38 7297.48 7894.47 82
SF-MVS90.27 3990.80 4588.68 7892.86 8977.09 11091.19 4295.74 581.38 7492.28 6093.80 10386.89 5194.64 7885.52 4997.51 7694.30 90
SD-MVS88.96 6789.88 5386.22 11891.63 12877.07 11189.82 6493.77 5178.90 10592.88 4692.29 14586.11 6290.22 22686.24 4197.24 8491.36 205
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
DeepC-MVS_fast80.27 886.23 10485.65 12087.96 9291.30 14276.92 11287.19 11091.99 11370.56 21184.96 19890.69 18980.01 13395.14 6278.37 12795.78 14391.82 194
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
Regformer-186.00 10885.50 12287.49 9684.18 27976.90 11383.52 17987.94 21082.18 6589.19 12385.07 28982.28 10091.89 17882.40 8492.72 22393.69 118
plane_prior376.85 11477.79 11886.55 170
TSAR-MVS + MP.88.14 7687.82 8189.09 6895.72 2276.74 11592.49 2591.19 13867.85 24486.63 16994.84 5179.58 13695.96 1387.62 1494.50 18294.56 78
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
test22293.31 7776.54 11679.38 25977.79 29952.59 33782.36 24190.84 18566.83 24191.69 24381.25 340
plane_prior692.61 9376.54 11674.84 180
Fast-Effi-MVS+-dtu82.54 17581.41 19085.90 12785.60 25676.53 11883.07 19489.62 18173.02 18179.11 28683.51 30580.74 12590.24 22568.76 22989.29 27690.94 212
mvsmamba87.87 8187.23 9089.78 5392.31 10476.51 11991.09 4391.87 11772.61 18692.16 6295.23 4166.01 24595.59 3786.02 4697.78 5697.24 17
HQP_MVS87.75 8687.43 8888.70 7793.45 7276.42 12089.45 7693.61 5879.44 9786.55 17092.95 12274.84 18095.22 5980.78 10295.83 13894.46 83
plane_prior76.42 12087.15 11275.94 14195.03 167
ACMH+77.89 1190.73 3091.50 2388.44 8393.00 8476.26 12289.65 6995.55 787.72 2393.89 2794.94 4891.62 493.44 13278.35 12898.76 495.61 49
UGNet82.78 17181.64 18686.21 12086.20 25176.24 12386.86 11685.68 24177.07 12673.76 32492.82 12669.64 22591.82 18169.04 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
MVS_111021_HR84.63 13284.34 14985.49 13790.18 17175.86 12479.23 26487.13 22073.35 17185.56 19189.34 21783.60 8390.50 21976.64 15294.05 19390.09 235
RRT_MVS88.30 7487.83 8089.70 5493.62 7075.70 12592.36 2789.06 19077.34 12293.63 3695.83 2565.40 24995.90 1585.01 5798.23 2997.49 13
CDPH-MVS86.17 10785.54 12188.05 9192.25 10675.45 12683.85 16992.01 11265.91 25786.19 17791.75 16083.77 8194.98 6877.43 14596.71 10193.73 116
DP-MVS Recon84.05 15183.22 16286.52 11091.73 12775.27 12783.23 19192.40 10372.04 19782.04 24788.33 23377.91 14993.95 10866.17 24795.12 16490.34 229
wuyk23d75.13 26479.30 21862.63 34375.56 35375.18 12880.89 24073.10 33275.06 15394.76 1295.32 3687.73 4252.85 37234.16 37197.11 8759.85 368
bld_raw_dy_0_6484.85 12984.44 14486.07 12493.73 6674.93 12988.57 9381.90 27770.44 21291.28 8095.18 4256.62 30089.28 24985.15 5397.09 8893.99 101
3Dnovator80.37 784.80 13084.71 13785.06 14386.36 24474.71 13088.77 8990.00 17475.65 14584.96 19893.17 11574.06 18991.19 19678.28 13091.09 25089.29 245
NP-MVS91.95 11674.55 13190.17 204
pmmvs-eth3d78.42 23377.04 24382.57 20087.44 22274.41 13280.86 24179.67 29155.68 32384.69 20490.31 19960.91 27085.42 29862.20 27591.59 24587.88 265
CSCG86.26 10386.47 10285.60 13490.87 15674.26 13387.98 9991.85 11880.35 8589.54 12088.01 23779.09 13892.13 17075.51 16495.06 16690.41 228
原ACMM184.60 15292.81 9274.01 13491.50 12762.59 28082.73 23790.67 19176.53 16994.25 9269.24 22295.69 14685.55 288
MVP-Stereo75.81 26073.51 27582.71 19589.35 18373.62 13580.06 24785.20 24860.30 30073.96 32387.94 23957.89 29489.45 24652.02 33374.87 36185.06 294
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
Gipumacopyleft84.44 13886.33 10478.78 25484.20 27873.57 13689.55 7190.44 15684.24 3984.38 20994.89 4976.35 17180.40 32776.14 15896.80 9982.36 328
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
Regformer-385.06 12484.67 13986.22 11884.27 27573.43 13784.07 16085.26 24780.77 8288.62 13385.48 27780.56 12890.39 22281.99 8891.04 25294.85 72
EPNet80.37 20878.41 23086.23 11776.75 34473.28 13887.18 11177.45 30176.24 13368.14 34488.93 22665.41 24893.85 11169.47 22096.12 12691.55 202
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
test_one_060193.85 6373.27 13994.11 3786.57 2793.47 4194.64 6088.42 27
PVSNet_Blended_VisFu81.55 18980.49 20184.70 15191.58 13273.24 14084.21 15791.67 12462.86 27980.94 26487.16 25467.27 23892.87 15469.82 21888.94 28287.99 262
TAMVS78.08 23676.36 24983.23 18290.62 16272.87 14179.08 26580.01 29061.72 28881.35 26186.92 25863.96 25588.78 25750.61 33893.01 21588.04 261
EI-MVSNet-Vis-set85.12 12284.53 14286.88 10384.01 28272.76 14283.91 16885.18 24980.44 8388.75 13085.49 27680.08 13291.92 17682.02 8790.85 26195.97 40
SED-MVS90.46 3791.64 1986.93 10294.18 5072.65 14390.47 5193.69 5483.77 4494.11 2394.27 7590.28 1595.84 2386.03 4497.92 4992.29 176
test_241102_ONE94.18 5072.65 14393.69 5483.62 4694.11 2393.78 10690.28 1595.50 48
DVP-MVS++90.07 4291.09 3587.00 10191.55 13572.64 14596.19 294.10 3885.33 3293.49 3994.64 6081.12 12095.88 1787.41 2195.94 13392.48 165
IU-MVS94.18 5072.64 14590.82 14756.98 31989.67 11285.78 4897.92 4993.28 132
test1286.57 10890.74 15972.63 14790.69 15082.76 23679.20 13794.80 7395.32 15592.27 178
EG-PatchMatch MVS84.08 15084.11 15183.98 16692.22 10872.61 14882.20 22387.02 22572.63 18588.86 12791.02 17778.52 14191.11 19973.41 18691.09 25088.21 258
DVP-MVScopyleft90.06 4391.32 3086.29 11594.16 5372.56 14990.54 4891.01 14283.61 4793.75 3194.65 5789.76 1995.78 2886.42 3497.97 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
test072694.16 5372.56 14990.63 4793.90 4683.61 4793.75 3194.49 6489.76 19
EI-MVSNet-UG-set85.04 12584.44 14486.85 10483.87 28572.52 15183.82 17085.15 25080.27 8788.75 13085.45 28079.95 13491.90 17781.92 9090.80 26296.13 35
CDS-MVSNet77.32 24375.40 25883.06 18689.00 19172.48 15277.90 28082.17 27460.81 29678.94 28783.49 30659.30 28288.76 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
test_0728_SECOND86.79 10594.25 4972.45 15390.54 4894.10 3895.88 1786.42 3497.97 4692.02 186
testdata79.54 24792.87 8772.34 15480.14 28959.91 30385.47 19391.75 16067.96 23585.24 29968.57 23492.18 23581.06 345
PCF-MVS74.62 1582.15 18180.92 19785.84 12989.43 18272.30 15580.53 24391.82 12057.36 31787.81 14789.92 20877.67 15193.63 12058.69 29695.08 16591.58 201
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
AdaColmapbinary83.66 15983.69 15883.57 17790.05 17572.26 15686.29 13090.00 17478.19 11581.65 25687.16 25483.40 8594.24 9361.69 28094.76 17884.21 302
test_040288.65 7089.58 5985.88 12892.55 9572.22 15784.01 16389.44 18488.63 1894.38 1895.77 2686.38 6093.59 12479.84 11195.21 15991.82 194
CANet83.79 15782.85 16886.63 10786.17 25272.21 15883.76 17391.43 12977.24 12574.39 32187.45 24875.36 17495.42 5177.03 14992.83 21992.25 180
DROMVSNet88.01 7888.32 7687.09 10089.28 18572.03 15990.31 5496.31 380.88 8085.12 19689.67 21284.47 7495.46 4982.56 8196.26 12193.77 115
test_prior386.31 10286.31 10586.32 11390.59 16371.99 16083.37 18592.85 9275.43 14784.58 20591.57 16281.92 11094.17 9979.54 11796.97 9192.80 150
test_prior86.32 11390.59 16371.99 16092.85 9294.17 9992.80 150
旧先验191.97 11571.77 16281.78 27891.84 15573.92 19193.65 20183.61 310
xiu_mvs_v1_base_debu80.84 19880.14 20982.93 19088.31 20471.73 16379.53 25587.17 21765.43 26479.59 27982.73 31776.94 16290.14 23173.22 18888.33 28786.90 276
xiu_mvs_v1_base80.84 19880.14 20982.93 19088.31 20471.73 16379.53 25587.17 21765.43 26479.59 27982.73 31776.94 16290.14 23173.22 18888.33 28786.90 276
xiu_mvs_v1_base_debi80.84 19880.14 20982.93 19088.31 20471.73 16379.53 25587.17 21765.43 26479.59 27982.73 31776.94 16290.14 23173.22 18888.33 28786.90 276
pmmvs474.92 26872.98 28180.73 22984.95 26271.71 16676.23 30377.59 30052.83 33677.73 29786.38 26256.35 30384.97 30257.72 30387.05 30285.51 289
MCST-MVS84.36 13983.93 15585.63 13391.59 12971.58 16783.52 17992.13 10961.82 28683.96 22189.75 21179.93 13593.46 13178.33 12994.34 18691.87 192
MSLP-MVS++85.00 12786.03 11181.90 20791.84 12471.56 16886.75 12293.02 8775.95 14087.12 15589.39 21677.98 14789.40 24877.46 14394.78 17584.75 297
JIA-IIPM69.41 31066.64 32277.70 27573.19 36471.24 16975.67 30665.56 35970.42 21365.18 35592.97 12133.64 37183.06 31453.52 32669.61 36978.79 350
v7n90.13 4090.96 4187.65 9591.95 11671.06 17089.99 6093.05 8386.53 2894.29 1996.27 1782.69 9194.08 10386.25 4097.63 6597.82 8
lessismore_v085.95 12591.10 15170.99 17170.91 34491.79 7094.42 6961.76 26792.93 15179.52 11993.03 21493.93 105
HQP5-MVS70.66 172
HQP-MVS84.61 13384.06 15286.27 11691.19 14670.66 17284.77 14592.68 9873.30 17480.55 27190.17 20472.10 21394.61 8077.30 14694.47 18393.56 126
ETV-MVS84.31 14183.91 15685.52 13588.58 19970.40 17484.50 15593.37 6478.76 10984.07 22078.72 34680.39 12995.13 6373.82 18192.98 21691.04 209
ACMH76.49 1489.34 6091.14 3483.96 16792.50 9770.36 17589.55 7193.84 5081.89 6994.70 1395.44 3590.69 988.31 26383.33 7398.30 2693.20 136
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
API-MVS82.28 17882.61 17381.30 21786.29 24769.79 17688.71 9087.67 21278.42 11382.15 24584.15 30177.98 14791.59 18465.39 25492.75 22082.51 327
DPM-MVS80.10 21779.18 21982.88 19390.71 16169.74 17778.87 26890.84 14660.29 30175.64 31385.92 27267.28 23793.11 14571.24 20491.79 24185.77 287
nrg03087.85 8388.49 7485.91 12690.07 17469.73 17887.86 10294.20 2874.04 16292.70 5494.66 5685.88 6591.50 18579.72 11497.32 8296.50 32
IterMVS-SCA-FT80.64 20279.41 21684.34 15883.93 28369.66 17976.28 30281.09 28272.43 18786.47 17690.19 20260.46 27293.15 14477.45 14486.39 30890.22 230
K. test v385.14 12184.73 13486.37 11291.13 15069.63 18085.45 13976.68 30684.06 4292.44 5896.99 862.03 26694.65 7780.58 10593.24 20894.83 74
EPP-MVSNet85.47 11685.04 12986.77 10691.52 13869.37 18191.63 3887.98 20981.51 7387.05 16091.83 15666.18 24495.29 5570.75 20996.89 9395.64 47
ETH3 D test640085.09 12384.87 13285.75 13190.80 15869.34 18285.90 13293.31 7065.43 26486.11 18089.95 20680.92 12294.86 7175.90 16195.57 14893.05 141
jason77.42 24275.75 25582.43 20387.10 23269.27 18377.99 27881.94 27651.47 34677.84 29485.07 28960.32 27489.00 25170.74 21089.27 27889.03 251
jason: jason.
MVSFormer82.23 17981.57 18984.19 16385.54 25869.26 18491.98 3290.08 17271.54 20076.23 30585.07 28958.69 28794.27 9086.26 3888.77 28389.03 251
lupinMVS76.37 25674.46 26682.09 20485.54 25869.26 18476.79 29480.77 28550.68 35276.23 30582.82 31558.69 28788.94 25269.85 21788.77 28388.07 259
PMMVS61.65 33060.38 33665.47 33965.40 37769.26 18463.97 35461.73 36636.80 37260.11 36668.43 36659.42 28166.35 36348.97 34578.57 35360.81 367
SixPastTwentyTwo87.20 8987.45 8786.45 11192.52 9669.19 18787.84 10388.05 20681.66 7194.64 1496.53 1465.94 24694.75 7483.02 7796.83 9795.41 52
EIA-MVS82.19 18081.23 19385.10 14287.95 21169.17 18883.22 19293.33 6770.42 21378.58 28979.77 34377.29 15594.20 9671.51 20388.96 28191.93 191
114514_t83.10 17082.54 17584.77 14892.90 8669.10 18986.65 12390.62 15354.66 32881.46 25990.81 18676.98 16194.38 8972.62 19696.18 12290.82 216
MVS_030478.17 23477.23 24180.99 22684.13 28169.07 19081.39 23280.81 28476.28 13267.53 34989.11 22362.87 26486.77 28160.90 28792.01 23987.13 273
UniMVSNet (Re)86.87 9286.98 9686.55 10993.11 8268.48 19183.80 17292.87 9180.37 8489.61 11691.81 15877.72 15094.18 9775.00 17198.53 1696.99 24
BH-untuned80.96 19680.99 19580.84 22788.55 20068.23 19280.33 24688.46 19672.79 18386.55 17086.76 25974.72 18491.77 18261.79 27988.99 28082.52 326
OpenMVScopyleft76.72 1381.98 18582.00 18281.93 20684.42 27168.22 19388.50 9589.48 18366.92 25081.80 25491.86 15372.59 21090.16 22871.19 20591.25 24987.40 270
patch_mono-278.89 22379.39 21777.41 27984.78 26568.11 19475.60 30783.11 26660.96 29579.36 28289.89 20975.18 17672.97 34573.32 18792.30 22891.15 207
ET-MVSNet_ETH3D75.28 26272.77 28282.81 19483.03 29468.11 19477.09 29176.51 30760.67 29977.60 29880.52 33538.04 36391.15 19870.78 20890.68 26489.17 246
MSDG80.06 21879.99 21380.25 23683.91 28468.04 19677.51 28789.19 18777.65 11981.94 24883.45 30776.37 17086.31 28863.31 26986.59 30586.41 279
alignmvs83.94 15583.98 15483.80 16987.80 21467.88 19784.54 15391.42 13173.27 17788.41 13887.96 23872.33 21290.83 20976.02 16094.11 19192.69 157
CLD-MVS83.18 16882.64 17284.79 14689.05 18967.82 19877.93 27992.52 10168.33 23585.07 19781.54 32782.06 10492.96 14969.35 22197.91 5193.57 125
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
CMPMVSbinary59.41 2075.12 26573.57 27379.77 24175.84 35267.22 19981.21 23682.18 27350.78 35076.50 30187.66 24455.20 30982.99 31562.17 27790.64 26889.09 250
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
canonicalmvs85.50 11586.14 10983.58 17687.97 21067.13 20087.55 10594.32 2273.44 17088.47 13687.54 24686.45 5891.06 20175.76 16393.76 19792.54 163
GeoE85.45 11785.81 11584.37 15590.08 17267.07 20185.86 13491.39 13272.33 19287.59 14990.25 20084.85 6992.37 16478.00 13691.94 24093.66 119
UniMVSNet_NR-MVSNet86.84 9487.06 9386.17 12292.86 8967.02 20282.55 20991.56 12583.08 5590.92 8591.82 15778.25 14693.99 10574.16 17598.35 2297.49 13
DU-MVS86.80 9586.99 9586.21 12093.24 7967.02 20283.16 19392.21 10781.73 7090.92 8591.97 15177.20 15693.99 10574.16 17598.35 2297.61 10
IS-MVSNet86.66 9786.82 10086.17 12292.05 11466.87 20491.21 4188.64 19586.30 3089.60 11792.59 13369.22 22894.91 7073.89 17997.89 5296.72 26
QAPM82.59 17482.59 17482.58 19886.44 23966.69 20589.94 6290.36 15967.97 24184.94 20092.58 13572.71 20892.18 16970.63 21287.73 29788.85 254
Patchmatch-RL test74.48 27373.68 27276.89 28584.83 26466.54 20672.29 32969.16 35157.70 31386.76 16486.33 26445.79 33982.59 31669.63 21990.65 26781.54 336
tttt051781.07 19479.58 21585.52 13588.99 19266.45 20787.03 11475.51 31473.76 16688.32 14190.20 20137.96 36494.16 10279.36 12195.13 16295.93 43
iter_conf_final80.36 20978.88 22184.79 14686.29 24766.36 20886.95 11586.25 23368.16 23882.09 24689.48 21436.59 36794.51 8779.83 11294.30 18793.50 129
BH-RMVSNet80.53 20380.22 20781.49 21687.19 22766.21 20977.79 28286.23 23474.21 16183.69 22388.50 23173.25 20390.75 21163.18 27087.90 29487.52 268
PAPM_NR83.23 16783.19 16483.33 18090.90 15565.98 21088.19 9790.78 14878.13 11680.87 26687.92 24173.49 19892.42 16170.07 21688.40 28691.60 200
BH-w/o76.57 25276.07 25378.10 26886.88 23765.92 21177.63 28486.33 23165.69 26280.89 26579.95 34068.97 23190.74 21253.01 33085.25 31777.62 351
TR-MVS76.77 25075.79 25479.72 24386.10 25465.79 21277.14 29083.02 26765.20 26981.40 26082.10 32166.30 24290.73 21355.57 31385.27 31682.65 322
Effi-MVS+83.90 15684.01 15383.57 17787.22 22665.61 21386.55 12692.40 10378.64 11081.34 26284.18 30083.65 8292.93 15174.22 17487.87 29592.17 183
Anonymous2023121188.40 7289.62 5884.73 14990.46 16665.27 21488.86 8693.02 8787.15 2593.05 4497.10 682.28 10092.02 17476.70 15197.99 4396.88 25
HyFIR lowres test75.12 26572.66 28482.50 20191.44 14165.19 21572.47 32887.31 21546.79 35880.29 27484.30 29952.70 31492.10 17351.88 33786.73 30490.22 230
VDD-MVS84.23 14684.58 14183.20 18491.17 14965.16 21683.25 18984.97 25779.79 9187.18 15494.27 7574.77 18390.89 20769.24 22296.54 10793.55 128
ambc82.98 18890.55 16564.86 21788.20 9689.15 18889.40 12193.96 9671.67 22091.38 19378.83 12496.55 10692.71 156
MDA-MVSNet-bldmvs77.47 24176.90 24579.16 25179.03 33264.59 21866.58 34975.67 31273.15 17988.86 12788.99 22566.94 23981.23 32364.71 25988.22 29291.64 199
thisisatest053079.07 22177.33 24084.26 16087.13 22864.58 21983.66 17775.95 30968.86 23085.22 19587.36 25038.10 36293.57 12775.47 16594.28 18894.62 76
NR-MVSNet86.00 10886.22 10785.34 13893.24 7964.56 22082.21 22190.46 15580.99 7888.42 13791.97 15177.56 15293.85 11172.46 19898.65 1297.61 10
Anonymous2024052986.20 10687.13 9183.42 17990.19 17064.55 22184.55 15190.71 14985.85 3189.94 10495.24 4082.13 10290.40 22169.19 22596.40 11495.31 56
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
UniMVSNet_ETH3D89.12 6490.72 4684.31 15997.00 264.33 22389.67 6888.38 19988.84 1594.29 1997.57 390.48 1491.26 19472.57 19797.65 6497.34 15
TranMVSNet+NR-MVSNet87.86 8288.76 7385.18 14094.02 5864.13 22484.38 15691.29 13484.88 3792.06 6593.84 10286.45 5893.73 11673.22 18898.66 1197.69 9
IterMVS76.91 24776.34 25078.64 25780.91 31164.03 22576.30 30179.03 29464.88 27183.11 23289.16 22159.90 27884.46 30668.61 23285.15 31887.42 269
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
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
EI-MVSNet82.61 17382.42 17783.20 18483.25 28963.66 22783.50 18285.07 25176.06 13586.55 17085.10 28673.41 19990.25 22378.15 13590.67 26595.68 46
IterMVS-LS84.73 13184.98 13083.96 16787.35 22363.66 22783.25 18989.88 17676.06 13589.62 11492.37 14373.40 20192.52 16078.16 13394.77 17795.69 45
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
PVSNet_BlendedMVS78.80 22777.84 23481.65 21484.43 26963.41 22979.49 25890.44 15661.70 28975.43 31487.07 25769.11 22991.44 18860.68 28892.24 23290.11 234
PVSNet_Blended76.49 25475.40 25879.76 24284.43 26963.41 22975.14 31390.44 15657.36 31775.43 31478.30 34869.11 22991.44 18860.68 28887.70 29884.42 300
V4283.47 16483.37 16183.75 17283.16 29163.33 23181.31 23390.23 16869.51 22390.91 8790.81 18674.16 18892.29 16880.06 10890.22 26995.62 48
v1086.54 9887.10 9284.84 14588.16 20963.28 23286.64 12492.20 10875.42 14992.81 5194.50 6374.05 19094.06 10483.88 6796.28 11897.17 20
Fast-Effi-MVS+81.04 19580.57 19882.46 20287.50 22163.22 23378.37 27589.63 18068.01 23981.87 25082.08 32282.31 9792.65 15867.10 24088.30 29191.51 203
CHOSEN 1792x268872.45 28870.56 29878.13 26790.02 17763.08 23468.72 34183.16 26542.99 36775.92 30985.46 27957.22 29885.18 30149.87 34281.67 34086.14 282
test_part187.15 9087.82 8185.15 14188.88 19463.04 23587.98 9994.85 1682.52 6193.61 3895.73 2767.51 23695.71 3280.48 10798.83 296.69 27
cascas76.29 25774.81 26280.72 23084.47 26862.94 23673.89 32187.34 21455.94 32275.16 31876.53 35763.97 25491.16 19765.00 25690.97 25788.06 260
v119284.57 13484.69 13884.21 16187.75 21562.88 23783.02 19691.43 12969.08 22789.98 10390.89 18372.70 20993.62 12382.41 8394.97 16996.13 35
DELS-MVS81.44 19081.25 19182.03 20584.27 27562.87 23876.47 30092.49 10270.97 20781.64 25783.83 30275.03 17792.70 15674.29 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
casdiffmvs85.21 11985.85 11483.31 18186.17 25262.77 23983.03 19593.93 4474.69 15688.21 14292.68 13282.29 9991.89 17877.87 13993.75 19995.27 58
MIMVSNet183.63 16084.59 14080.74 22894.06 5762.77 23982.72 20384.53 26077.57 12190.34 9495.92 2476.88 16885.83 29561.88 27897.42 7993.62 123
CR-MVSNet74.00 27773.04 28076.85 28679.58 32462.64 24182.58 20776.90 30350.50 35375.72 31192.38 14048.07 32784.07 30968.72 23182.91 33583.85 307
RPMNet78.88 22478.28 23180.68 23179.58 32462.64 24182.58 20794.16 3174.80 15475.72 31192.59 13348.69 32595.56 3973.48 18582.91 33583.85 307
v114484.54 13784.72 13684.00 16587.67 21762.55 24382.97 19790.93 14570.32 21689.80 10890.99 17873.50 19693.48 13081.69 9294.65 18095.97 40
MS-PatchMatch70.93 29970.22 30273.06 30981.85 30162.50 24473.82 32277.90 29852.44 33975.92 30981.27 32855.67 30681.75 32055.37 31577.70 35574.94 355
WR-MVS_H89.91 5091.31 3185.71 13296.32 1062.39 24589.54 7393.31 7090.21 1095.57 995.66 3081.42 11795.90 1580.94 9998.80 398.84 5
baseline85.20 12085.93 11283.02 18786.30 24662.37 24684.55 15193.96 4374.48 15987.12 15592.03 15082.30 9891.94 17578.39 12694.21 18994.74 75
v886.22 10586.83 9984.36 15787.82 21362.35 24786.42 12791.33 13376.78 12992.73 5394.48 6573.41 19993.72 11783.10 7495.41 15197.01 23
pmmvs686.52 9988.06 7881.90 20792.22 10862.28 24884.66 14989.15 18883.54 4989.85 10697.32 488.08 3886.80 28070.43 21497.30 8396.62 29
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 18059.28 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
D2MVS76.84 24875.67 25780.34 23580.48 31962.16 25073.50 32384.80 25957.61 31582.24 24287.54 24651.31 31887.65 26870.40 21593.19 21091.23 206
dcpmvs_284.23 14685.14 12781.50 21588.61 19861.98 25182.90 20093.11 7968.66 23392.77 5292.39 13978.50 14287.63 26976.99 15092.30 22894.90 66
v192192084.23 14684.37 14883.79 17087.64 21961.71 25282.91 19991.20 13767.94 24290.06 9890.34 19772.04 21693.59 12482.32 8594.91 17096.07 37
v14419284.24 14584.41 14683.71 17387.59 22061.57 25382.95 19891.03 14167.82 24589.80 10890.49 19573.28 20293.51 12981.88 9194.89 17296.04 39
PS-MVSNAJ77.04 24676.53 24878.56 25887.09 23361.40 25475.26 31287.13 22061.25 29174.38 32277.22 35476.94 16290.94 20364.63 26184.83 32483.35 315
v2v48284.09 14984.24 15083.62 17587.13 22861.40 25482.71 20489.71 17872.19 19589.55 11891.41 16770.70 22493.20 13981.02 9793.76 19796.25 33
xiu_mvs_v2_base77.19 24476.75 24678.52 25987.01 23461.30 25675.55 31087.12 22361.24 29274.45 32078.79 34577.20 15690.93 20464.62 26284.80 32583.32 316
v124084.30 14284.51 14383.65 17487.65 21861.26 25782.85 20191.54 12667.94 24290.68 9090.65 19271.71 21993.64 11982.84 7994.78 17596.07 37
OpenMVS_ROBcopyleft70.19 1777.77 24077.46 23678.71 25684.39 27261.15 25881.18 23782.52 27062.45 28383.34 22987.37 24966.20 24388.66 25964.69 26085.02 31986.32 280
MVSTER77.09 24575.70 25681.25 21875.27 35761.08 25977.49 28885.07 25160.78 29786.55 17088.68 22943.14 35490.25 22373.69 18390.67 26592.42 167
GBi-Net82.02 18382.07 18081.85 20986.38 24161.05 26086.83 11888.27 20372.43 18786.00 18295.64 3163.78 25690.68 21465.95 24893.34 20593.82 111
test182.02 18382.07 18081.85 20986.38 24161.05 26086.83 11888.27 20372.43 18786.00 18295.64 3163.78 25690.68 21465.95 24893.34 20593.82 111
FMVSNet184.55 13585.45 12381.85 20990.27 16961.05 26086.83 11888.27 20378.57 11189.66 11395.64 3175.43 17390.68 21469.09 22695.33 15493.82 111
eth_miper_zixun_eth80.84 19880.22 20782.71 19581.41 30560.98 26377.81 28190.14 17167.31 24886.95 16287.24 25364.26 25292.31 16675.23 16891.61 24494.85 72
miper_lstm_enhance76.45 25576.10 25277.51 27776.72 34560.97 26464.69 35285.04 25363.98 27483.20 23188.22 23456.67 29978.79 33273.22 18893.12 21192.78 152
Anonymous2024052180.18 21581.25 19176.95 28283.15 29260.84 26582.46 21285.99 23868.76 23186.78 16393.73 10859.13 28477.44 33473.71 18297.55 7192.56 161
MVS73.21 28372.59 28575.06 30080.97 31060.81 26681.64 22885.92 23946.03 36171.68 33377.54 35068.47 23289.77 24055.70 31285.39 31474.60 356
iter_conf0578.81 22677.35 23983.21 18382.98 29560.75 26784.09 15988.34 20063.12 27784.25 21989.48 21431.41 37294.51 8776.64 15295.83 13894.38 88
TinyColmap81.25 19282.34 17877.99 27085.33 26060.68 26882.32 21688.33 20171.26 20486.97 16192.22 14977.10 15986.98 27762.37 27395.17 16186.31 281
EPNet_dtu72.87 28671.33 29777.49 27877.72 33860.55 26982.35 21575.79 31066.49 25458.39 37181.06 33053.68 31285.98 29253.55 32592.97 21785.95 284
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CVMVSNet72.62 28771.41 29676.28 29283.25 28960.34 27083.50 18279.02 29537.77 37176.33 30385.10 28649.60 32487.41 27170.54 21377.54 35781.08 343
PAPR78.84 22578.10 23381.07 22285.17 26160.22 27182.21 22190.57 15462.51 28175.32 31684.61 29674.99 17892.30 16759.48 29488.04 29390.68 220
diffmvs80.40 20780.48 20280.17 23879.02 33360.04 27277.54 28690.28 16766.65 25382.40 24087.33 25173.50 19687.35 27277.98 13789.62 27493.13 138
1112_ss74.82 27073.74 27178.04 26989.57 17960.04 27276.49 29987.09 22454.31 32973.66 32579.80 34160.25 27586.76 28358.37 29784.15 32887.32 271
thisisatest051573.00 28570.52 29980.46 23381.45 30459.90 27473.16 32774.31 32157.86 31276.08 30877.78 34937.60 36592.12 17265.00 25691.45 24789.35 242
CANet_DTU77.81 23977.05 24280.09 23981.37 30659.90 27483.26 18888.29 20269.16 22667.83 34783.72 30360.93 26989.47 24469.22 22489.70 27390.88 214
v14882.31 17782.48 17681.81 21285.59 25759.66 27681.47 23186.02 23772.85 18288.05 14390.65 19270.73 22390.91 20675.15 16991.79 24194.87 68
pm-mvs183.69 15884.95 13179.91 24090.04 17659.66 27682.43 21387.44 21375.52 14687.85 14695.26 3981.25 11985.65 29768.74 23096.04 12794.42 86
EU-MVSNet75.12 26574.43 26777.18 28083.11 29359.48 27885.71 13782.43 27239.76 37085.64 18988.76 22744.71 35087.88 26673.86 18085.88 31284.16 303
VDDNet84.35 14085.39 12481.25 21895.13 3359.32 27985.42 14081.11 28186.41 2987.41 15296.21 1973.61 19490.61 21766.33 24696.85 9593.81 114
cl____80.42 20680.23 20581.02 22479.99 32159.25 28077.07 29287.02 22567.37 24786.18 17989.21 22063.08 26190.16 22876.31 15695.80 14193.65 121
DIV-MVS_self_test80.43 20580.23 20581.02 22479.99 32159.25 28077.07 29287.02 22567.38 24686.19 17789.22 21963.09 26090.16 22876.32 15595.80 14193.66 119
GA-MVS75.83 25974.61 26379.48 24881.87 30059.25 28073.42 32482.88 26868.68 23279.75 27881.80 32450.62 32189.46 24566.85 24285.64 31389.72 236
c3_l81.64 18881.59 18881.79 21380.86 31359.15 28378.61 27290.18 17068.36 23487.20 15387.11 25669.39 22691.62 18378.16 13394.43 18594.60 77
cl2278.97 22278.21 23281.24 22077.74 33759.01 28477.46 28987.13 22065.79 25884.32 21185.10 28658.96 28690.88 20875.36 16792.03 23693.84 108
miper_ehance_all_eth80.34 21080.04 21281.24 22079.82 32358.95 28577.66 28389.66 17965.75 26185.99 18585.11 28568.29 23391.42 19076.03 15992.03 23693.33 130
PEN-MVS90.03 4591.88 1684.48 15396.57 658.88 28688.95 8393.19 7791.62 496.01 696.16 2087.02 4995.60 3678.69 12598.72 998.97 3
test_yl78.71 22978.51 22879.32 24984.32 27358.84 28778.38 27385.33 24575.99 13882.49 23886.57 26058.01 29090.02 23762.74 27192.73 22189.10 248
DCV-MVSNet78.71 22978.51 22879.32 24984.32 27358.84 28778.38 27385.33 24575.99 13882.49 23886.57 26058.01 29090.02 23762.74 27192.73 22189.10 248
PS-CasMVS90.06 4391.92 1384.47 15496.56 758.83 28989.04 8292.74 9791.40 596.12 496.06 2287.23 4795.57 3879.42 12098.74 699.00 2
FMVSNet281.31 19181.61 18780.41 23486.38 24158.75 29083.93 16786.58 23072.43 18787.65 14892.98 11963.78 25690.22 22666.86 24193.92 19592.27 178
CP-MVSNet89.27 6190.91 4384.37 15596.34 958.61 29188.66 9292.06 11190.78 695.67 795.17 4381.80 11395.54 4279.00 12398.69 1098.95 4
baseline269.77 30866.89 31878.41 26279.51 32658.09 29276.23 30369.57 34957.50 31664.82 35977.45 35246.02 33488.44 26053.08 32777.83 35488.70 255
miper_enhance_ethall77.83 23776.93 24480.51 23276.15 35058.01 29375.47 31188.82 19158.05 31183.59 22680.69 33164.41 25191.20 19573.16 19492.03 23692.33 173
131473.22 28272.56 28775.20 29880.41 32057.84 29481.64 22885.36 24451.68 34573.10 32776.65 35661.45 26885.19 30063.54 26679.21 35182.59 323
DTE-MVSNet89.98 4791.91 1584.21 16196.51 857.84 29488.93 8592.84 9491.92 396.16 396.23 1886.95 5095.99 1079.05 12298.57 1598.80 6
MVS_Test82.47 17683.22 16280.22 23782.62 29757.75 29682.54 21091.96 11571.16 20682.89 23592.52 13877.41 15490.50 21980.04 10987.84 29692.40 169
VPA-MVSNet83.47 16484.73 13479.69 24490.29 16857.52 29781.30 23588.69 19476.29 13187.58 15094.44 6680.60 12787.20 27366.60 24596.82 9894.34 89
FIs85.35 11886.27 10682.60 19791.86 12157.31 29885.10 14393.05 8375.83 14291.02 8493.97 9373.57 19592.91 15373.97 17898.02 4197.58 12
Anonymous20240521180.51 20481.19 19478.49 26088.48 20157.26 29976.63 29782.49 27181.21 7684.30 21592.24 14867.99 23486.24 28962.22 27495.13 16291.98 190
USDC76.63 25176.73 24776.34 29183.46 28757.20 30080.02 24988.04 20752.14 34283.65 22591.25 16963.24 25986.65 28454.66 32194.11 19185.17 292
ab-mvs79.67 21980.56 19976.99 28188.48 20156.93 30184.70 14886.06 23668.95 22980.78 26793.08 11675.30 17584.62 30556.78 30590.90 25989.43 241
ADS-MVSNet265.87 32463.64 32972.55 31273.16 36556.92 30267.10 34774.81 31649.74 35566.04 35282.97 31146.71 32977.26 33542.29 36169.96 36783.46 312
ppachtmachnet_test74.73 27274.00 27076.90 28480.71 31656.89 30371.53 33278.42 29658.24 30979.32 28482.92 31457.91 29384.26 30865.60 25391.36 24889.56 238
FMVSNet378.80 22778.55 22779.57 24682.89 29656.89 30381.76 22585.77 24069.04 22886.00 18290.44 19651.75 31790.09 23465.95 24893.34 20591.72 196
FC-MVSNet-test85.93 11187.05 9482.58 19892.25 10656.44 30585.75 13593.09 8177.33 12391.94 6994.65 5774.78 18293.41 13475.11 17098.58 1497.88 7
Test_1112_low_res73.90 27873.08 27976.35 29090.35 16755.95 30673.40 32586.17 23550.70 35173.14 32685.94 27158.31 28985.90 29456.51 30783.22 33287.20 272
LFMVS80.15 21680.56 19978.89 25289.19 18855.93 30785.22 14273.78 32682.96 5684.28 21692.72 13057.38 29690.07 23563.80 26495.75 14490.68 220
SCA73.32 28072.57 28675.58 29781.62 30255.86 30878.89 26771.37 34361.73 28774.93 31983.42 30860.46 27287.01 27458.11 30182.63 33983.88 304
EMVS61.10 33460.81 33561.99 34565.96 37655.86 30853.10 36758.97 37067.06 24956.89 37263.33 36940.98 35767.03 36054.79 32086.18 31063.08 365
LCM-MVSNet-Re83.48 16385.06 12878.75 25585.94 25555.75 31080.05 24894.27 2376.47 13096.09 594.54 6283.31 8689.75 24259.95 29194.89 17290.75 217
tfpnnormal81.79 18782.95 16778.31 26388.93 19355.40 31180.83 24282.85 26976.81 12885.90 18694.14 8674.58 18686.51 28566.82 24495.68 14793.01 143
E-PMN61.59 33161.62 33361.49 34766.81 37555.40 31153.77 36660.34 36866.80 25258.90 36965.50 36840.48 35966.12 36455.72 31186.25 30962.95 366
test-LLR67.21 31666.74 32068.63 32876.45 34855.21 31367.89 34367.14 35562.43 28465.08 35672.39 36243.41 35269.37 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
TransMVSNet (Re)84.02 15285.74 11778.85 25391.00 15355.20 31582.29 21787.26 21679.65 9488.38 13995.52 3483.00 8886.88 27867.97 23796.60 10594.45 85
WR-MVS83.56 16184.40 14781.06 22393.43 7454.88 31678.67 27185.02 25481.24 7590.74 8991.56 16472.85 20691.08 20068.00 23698.04 3897.23 18
Anonymous2023120671.38 29771.88 29169.88 32086.31 24554.37 31770.39 33674.62 31752.57 33876.73 30088.76 22759.94 27772.06 34744.35 35993.23 20983.23 318
HY-MVS64.64 1873.03 28472.47 28874.71 30183.36 28854.19 31882.14 22481.96 27556.76 32169.57 34186.21 26860.03 27684.83 30449.58 34382.65 33785.11 293
PAPM71.77 29470.06 30476.92 28386.39 24053.97 31976.62 29886.62 22953.44 33363.97 36184.73 29557.79 29592.34 16539.65 36681.33 34384.45 299
VNet79.31 22080.27 20476.44 28987.92 21253.95 32075.58 30984.35 26174.39 16082.23 24390.72 18872.84 20784.39 30760.38 29093.98 19490.97 211
our_test_371.85 29371.59 29372.62 31180.71 31653.78 32169.72 33971.71 34258.80 30678.03 29180.51 33656.61 30178.84 33162.20 27586.04 31185.23 291
PatchmatchNetpermissive69.71 30968.83 31072.33 31477.66 33953.60 32279.29 26069.99 34757.66 31472.53 32982.93 31346.45 33180.08 32960.91 28672.09 36383.31 317
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
MDA-MVSNet_test_wron70.05 30670.44 30068.88 32673.84 36153.47 32358.93 36467.28 35358.43 30787.09 15885.40 28159.80 28067.25 35959.66 29383.54 33085.92 285
Baseline_NR-MVSNet84.00 15385.90 11378.29 26591.47 14053.44 32482.29 21787.00 22879.06 10389.55 11895.72 2977.20 15686.14 29172.30 19998.51 1795.28 57
YYNet170.06 30570.44 30068.90 32573.76 36253.42 32558.99 36367.20 35458.42 30887.10 15785.39 28259.82 27967.32 35859.79 29283.50 33185.96 283
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 31165.91 36535.40 37047.01 37359.25 369
FMVSNet572.10 29271.69 29273.32 30681.57 30353.02 32776.77 29578.37 29763.31 27576.37 30291.85 15436.68 36678.98 33047.87 35092.45 22687.95 263
KD-MVS_self_test81.93 18683.14 16578.30 26484.75 26652.75 32880.37 24589.42 18570.24 21890.26 9693.39 11274.55 18786.77 28168.61 23296.64 10295.38 53
pmmvs570.73 30070.07 30372.72 31077.03 34352.73 32974.14 31875.65 31350.36 35472.17 33185.37 28355.42 30880.67 32652.86 33187.59 29984.77 296
UnsupCasMVSNet_eth71.63 29672.30 28969.62 32276.47 34752.70 33070.03 33880.97 28359.18 30479.36 28288.21 23560.50 27169.12 35458.33 29977.62 35687.04 274
MG-MVS80.32 21180.94 19678.47 26188.18 20752.62 33182.29 21785.01 25572.01 19879.24 28592.54 13769.36 22793.36 13670.65 21189.19 27989.45 239
XXY-MVS74.44 27576.19 25169.21 32484.61 26752.43 33271.70 33177.18 30260.73 29880.60 26890.96 18175.44 17269.35 35356.13 30988.33 28785.86 286
tfpn200view974.86 26974.23 26876.74 28786.24 24952.12 33379.24 26273.87 32473.34 17281.82 25284.60 29746.02 33488.80 25451.98 33490.99 25489.31 243
thres40075.14 26374.23 26877.86 27386.24 24952.12 33379.24 26273.87 32473.34 17281.82 25284.60 29746.02 33488.80 25451.98 33490.99 25492.66 158
MVEpermissive40.22 2351.82 34150.47 34455.87 35362.66 37951.91 33531.61 37139.28 38040.65 36850.76 37474.98 36156.24 30444.67 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)
thres100view90075.45 26175.05 26176.66 28887.27 22451.88 33681.07 23873.26 33075.68 14483.25 23086.37 26345.54 34088.80 25451.98 33490.99 25489.31 243
thres600view775.97 25875.35 26077.85 27487.01 23451.84 33780.45 24473.26 33075.20 15183.10 23386.31 26645.54 34089.05 25055.03 31992.24 23292.66 158
thres20072.34 29071.55 29574.70 30283.48 28651.60 33875.02 31473.71 32770.14 21978.56 29080.57 33446.20 33288.20 26446.99 35389.29 27684.32 301
CL-MVSNet_self_test76.81 24977.38 23875.12 29986.90 23651.34 33973.20 32680.63 28668.30 23681.80 25488.40 23266.92 24080.90 32455.35 31694.90 17193.12 139
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
Vis-MVSNet (Re-imp)77.82 23877.79 23577.92 27188.82 19551.29 34183.28 18771.97 33874.04 16282.23 24389.78 21057.38 29689.41 24757.22 30495.41 15193.05 141
UnsupCasMVSNet_bld69.21 31169.68 30667.82 33179.42 32751.15 34267.82 34675.79 31054.15 33077.47 29985.36 28459.26 28370.64 35048.46 34779.35 34981.66 334
test20.0373.75 27974.59 26571.22 31781.11 30951.12 34370.15 33772.10 33770.42 21380.28 27691.50 16564.21 25374.72 34446.96 35494.58 18187.82 267
sss66.92 31767.26 31765.90 33677.23 34051.10 34464.79 35171.72 34152.12 34370.13 33980.18 33857.96 29265.36 36650.21 33981.01 34581.25 340
CostFormer69.98 30768.68 31273.87 30477.14 34150.72 34579.26 26174.51 31951.94 34470.97 33784.75 29445.16 34887.49 27055.16 31879.23 35083.40 314
tpm cat166.76 32065.21 32671.42 31677.09 34250.62 34678.01 27773.68 32844.89 36368.64 34279.00 34445.51 34282.42 31949.91 34170.15 36681.23 342
mvs_anonymous78.13 23578.76 22476.23 29479.24 33050.31 34778.69 27084.82 25861.60 29083.09 23492.82 12673.89 19287.01 27468.33 23586.41 30791.37 204
MIMVSNet71.09 29871.59 29369.57 32387.23 22550.07 34878.91 26671.83 33960.20 30271.26 33491.76 15955.08 31076.09 33841.06 36487.02 30382.54 325
PVSNet58.17 2166.41 32165.63 32568.75 32781.96 29949.88 34962.19 35872.51 33551.03 34868.04 34575.34 36050.84 32074.77 34245.82 35782.96 33381.60 335
ECVR-MVScopyleft78.44 23278.63 22677.88 27291.85 12248.95 35083.68 17669.91 34872.30 19384.26 21894.20 8151.89 31689.82 23963.58 26596.02 12894.87 68
tpm268.45 31366.83 31973.30 30778.93 33448.50 35179.76 25271.76 34047.50 35769.92 34083.60 30442.07 35688.40 26148.44 34879.51 34783.01 321
tpmvs70.16 30369.56 30771.96 31574.71 36048.13 35279.63 25375.45 31565.02 27070.26 33881.88 32345.34 34585.68 29658.34 29875.39 36082.08 330
WTY-MVS67.91 31568.35 31366.58 33580.82 31448.12 35365.96 35072.60 33353.67 33271.20 33581.68 32658.97 28569.06 35548.57 34681.67 34082.55 324
VPNet80.25 21281.68 18575.94 29592.46 9847.98 35476.70 29681.67 27973.45 16984.87 20192.82 12674.66 18586.51 28561.66 28196.85 9593.33 130
baseline173.26 28173.54 27472.43 31384.92 26347.79 35579.89 25174.00 32265.93 25678.81 28886.28 26756.36 30281.63 32256.63 30679.04 35287.87 266
test111178.53 23178.85 22277.56 27692.22 10847.49 35682.61 20569.24 35072.43 18785.28 19494.20 8151.91 31590.07 23565.36 25596.45 11295.11 63
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
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 35268.47 35640.75 36582.65 33781.35 337
Patchmtry76.56 25377.46 23673.83 30579.37 32946.60 36082.41 21476.90 30373.81 16585.56 19192.38 14048.07 32783.98 31063.36 26895.31 15790.92 213
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
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
ANet_high83.17 16985.68 11975.65 29681.24 30745.26 36379.94 25092.91 9083.83 4391.33 7896.88 1080.25 13185.92 29368.89 22895.89 13695.76 44
DSMNet-mixed60.98 33561.61 33459.09 35272.88 36745.05 36474.70 31646.61 37926.20 37365.34 35490.32 19855.46 30763.12 36941.72 36381.30 34469.09 363
gm-plane-assit75.42 35644.97 36552.17 34072.36 36487.90 26554.10 323
test250674.12 27673.39 27676.28 29291.85 12244.20 36684.06 16248.20 37872.30 19381.90 24994.20 8127.22 37989.77 24064.81 25896.02 12894.87 68
MDTV_nov1_ep1368.29 31478.03 33643.87 36774.12 31972.22 33652.17 34067.02 35085.54 27545.36 34480.85 32555.73 31084.42 327
tpm67.95 31468.08 31567.55 33278.74 33543.53 36875.60 30767.10 35754.92 32772.23 33088.10 23642.87 35575.97 33952.21 33280.95 34683.15 319
Patchmatch-test65.91 32367.38 31661.48 34875.51 35443.21 36968.84 34063.79 36262.48 28272.80 32883.42 30844.89 34959.52 37048.27 34986.45 30681.70 333
testgi72.36 28974.61 26365.59 33780.56 31842.82 37068.29 34273.35 32966.87 25181.84 25189.93 20772.08 21566.92 36146.05 35692.54 22587.01 275
tpmrst66.28 32266.69 32165.05 34072.82 36839.33 37178.20 27670.69 34553.16 33567.88 34680.36 33748.18 32674.75 34358.13 30070.79 36581.08 343
EPMVS62.47 32762.63 33162.01 34470.63 37238.74 37274.76 31552.86 37553.91 33167.71 34880.01 33939.40 36066.60 36255.54 31468.81 37080.68 347
dp60.70 33660.29 33861.92 34672.04 37038.67 37370.83 33364.08 36151.28 34760.75 36477.28 35336.59 36771.58 34947.41 35162.34 37275.52 354
ADS-MVSNet61.90 32962.19 33261.03 34973.16 36536.42 37467.10 34761.75 36549.74 35566.04 35282.97 31146.71 32963.21 36842.29 36169.96 36783.46 312
MVS-HIRNet61.16 33362.92 33055.87 35379.09 33135.34 37571.83 33057.98 37246.56 35959.05 36891.14 17449.95 32376.43 33738.74 36771.92 36455.84 371
PatchT70.52 30172.76 28363.79 34279.38 32833.53 37677.63 28465.37 36073.61 16771.77 33292.79 12944.38 35175.65 34164.53 26385.37 31582.18 329
new_pmnet55.69 33957.66 34149.76 35575.47 35530.59 37759.56 35951.45 37643.62 36662.49 36275.48 35940.96 35849.15 37437.39 36972.52 36269.55 362
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
MDTV_nov1_ep13_2view27.60 37970.76 33446.47 36061.27 36345.20 34649.18 34483.75 309
new-patchmatchnet70.10 30473.37 27760.29 35081.23 30816.95 38059.54 36074.62 31762.93 27880.97 26387.93 24062.83 26571.90 34855.24 31795.01 16892.00 187
PMMVS255.64 34059.27 34044.74 35664.30 37812.32 38140.60 36949.79 37753.19 33465.06 35884.81 29353.60 31349.76 37332.68 37389.41 27572.15 358
tmp_tt20.25 34424.50 3477.49 3594.47 3828.70 38234.17 37025.16 3821.00 37732.43 37618.49 37439.37 3619.21 37821.64 37543.75 3744.57 374
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
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 2430.00 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
PC_three_145258.96 30590.06 9891.33 16880.66 12693.03 14875.78 16295.94 13392.48 165
eth-test20.00 385
eth-test0.00 385
test_241102_TWO93.71 5383.77 4493.49 3994.27 7589.27 2295.84 2386.03 4497.82 5492.04 185
9.1489.29 6291.84 12488.80 8895.32 1175.14 15291.07 8292.89 12487.27 4693.78 11583.69 7097.55 71
test_0728_THIRD85.33 3293.75 3194.65 5787.44 4595.78 2887.41 2198.21 3192.98 144
GSMVS83.88 304
sam_mvs146.11 33383.88 304
sam_mvs45.92 338
MTGPAbinary91.81 121
test_post178.85 2693.13 37645.19 34780.13 32858.11 301
test_post3.10 37745.43 34377.22 336
patchmatchnet-post81.71 32545.93 33787.01 274
MTMP90.66 4533.14 381
test9_res80.83 10196.45 11290.57 223
agg_prior279.68 11596.16 12390.22 230
test_prior283.37 18575.43 14784.58 20591.57 16281.92 11079.54 11796.97 91
旧先验281.73 22656.88 32086.54 17584.90 30372.81 195
新几何281.72 227
无先验82.81 20285.62 24258.09 31091.41 19167.95 23884.48 298
原ACMM282.26 220
testdata286.43 28763.52 267
segment_acmp81.94 107
testdata179.62 25473.95 164
plane_prior593.61 5895.22 5980.78 10295.83 13894.46 83
plane_prior492.95 122
plane_prior289.45 7679.44 97
plane_prior192.83 91
n20.00 386
nn0.00 386
door-mid74.45 320
test1191.46 128
door72.57 334
HQP-NCC91.19 14684.77 14573.30 17480.55 271
ACMP_Plane91.19 14684.77 14573.30 17480.55 271
BP-MVS77.30 146
HQP4-MVS80.56 27094.61 8093.56 126
HQP3-MVS92.68 9894.47 183
HQP2-MVS72.10 213
ACMMP++_ref95.74 145
ACMMP++97.35 80
Test By Simon79.09 138