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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
MG-MVS87.11 3386.27 4489.62 897.79 176.27 494.96 4494.49 4178.74 6683.87 6892.94 11764.34 8496.94 10375.19 14094.09 4095.66 48
MCST-MVS91.08 191.46 289.94 497.66 273.37 997.13 295.58 889.33 185.77 4496.26 2772.84 2799.38 192.64 695.93 1097.08 9
OPU-MVS89.97 397.52 373.15 1396.89 497.00 983.82 299.15 295.72 197.63 397.62 2
DVP-MVS++90.53 391.09 488.87 1497.31 469.91 3793.96 6894.37 5072.48 16592.07 696.85 1283.82 299.15 291.53 1697.42 497.55 4
MSC_two_6792asdad89.60 997.31 473.22 1195.05 2199.07 1392.01 1294.77 2596.51 20
No_MVS89.60 997.31 473.22 1195.05 2199.07 1392.01 1294.77 2596.51 20
DP-MVS Recon82.73 10481.65 11185.98 8397.31 467.06 10795.15 3591.99 14169.08 24276.50 14393.89 9954.48 19598.20 3670.76 17985.66 13692.69 158
testtj86.62 4386.66 4186.50 6796.95 865.70 14394.41 5193.45 8467.74 25186.19 3996.39 2364.38 8397.91 4687.33 4993.14 5795.90 43
ETH3 D test640090.27 690.44 889.75 696.82 974.33 795.89 1694.80 2977.13 8889.13 2297.38 274.49 1898.48 2892.32 1195.98 896.46 25
CNVR-MVS90.32 590.89 688.61 1996.76 1070.65 2596.47 1294.83 2684.83 989.07 2396.80 1570.86 3499.06 1592.64 695.71 1196.12 35
ZD-MVS96.63 1165.50 15093.50 8270.74 22185.26 5295.19 5764.92 7897.29 7887.51 4593.01 58
NCCC89.07 1489.46 1487.91 2496.60 1269.05 5496.38 1394.64 3684.42 1086.74 3496.20 2866.56 6198.76 2289.03 3494.56 3395.92 42
IU-MVS96.46 1369.91 3795.18 1480.75 3795.28 192.34 895.36 1496.47 24
SED-MVS89.94 890.36 988.70 1696.45 1469.38 4796.89 494.44 4371.65 19692.11 497.21 576.79 999.11 692.34 895.36 1497.62 2
test_241102_ONE96.45 1469.38 4794.44 4371.65 19692.11 497.05 876.79 999.11 6
test_0728_SECOND88.70 1696.45 1470.43 2896.64 894.37 5099.15 291.91 1494.90 2196.51 20
DVP-MVScopyleft89.41 1289.73 1388.45 2196.40 1769.99 3396.64 894.52 3971.92 18290.55 1696.93 1073.77 2299.08 1191.91 1494.90 2196.29 30
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
test072696.40 1769.99 3396.76 694.33 5271.92 18291.89 897.11 773.77 22
AdaColmapbinary78.94 16977.00 18684.76 12496.34 1965.86 13992.66 12587.97 28862.18 29570.56 20192.37 13343.53 28297.35 7464.50 23782.86 15591.05 194
test_one_060196.32 2069.74 4294.18 5671.42 20890.67 1596.85 1274.45 19
test_part296.29 2168.16 7790.78 13
DPE-MVScopyleft88.77 1589.21 1587.45 3696.26 2267.56 9194.17 5594.15 5868.77 24590.74 1497.27 376.09 1298.49 2790.58 2394.91 2096.30 29
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
MAR-MVS84.18 8083.43 8086.44 6996.25 2365.93 13894.28 5494.27 5474.41 12179.16 11295.61 4053.99 20098.88 2069.62 18893.26 5594.50 101
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
API-MVS82.28 11180.53 12787.54 3496.13 2470.59 2693.63 8791.04 18865.72 26975.45 15392.83 12356.11 17698.89 1964.10 23989.75 10393.15 147
APDe-MVS87.54 2587.84 2286.65 6096.07 2566.30 12994.84 4693.78 6569.35 23688.39 2596.34 2567.74 5097.66 5890.62 2293.44 5396.01 39
patch_mono-289.71 1090.99 585.85 8996.04 2663.70 19995.04 4195.19 1386.74 591.53 1195.15 5873.86 2197.58 6393.38 392.00 7596.28 32
PAPR85.15 6284.47 6787.18 4296.02 2768.29 7191.85 15893.00 10676.59 9679.03 11395.00 6161.59 11497.61 6278.16 12489.00 10795.63 49
APD-MVScopyleft85.93 5185.99 4985.76 9395.98 2865.21 15593.59 8992.58 12266.54 26286.17 4095.88 3363.83 9097.00 9586.39 5792.94 5995.06 76
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
DeepC-MVS_fast79.48 287.95 2088.00 2087.79 2795.86 2968.32 7095.74 2094.11 6083.82 1283.49 6996.19 2964.53 8298.44 3083.42 8194.88 2496.61 14
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DP-MVS69.90 27266.48 27880.14 24195.36 3062.93 21789.56 23476.11 34750.27 34557.69 31485.23 22439.68 29495.73 14333.35 35671.05 23881.78 322
114514_t79.17 16577.67 17283.68 15595.32 3165.53 14992.85 11691.60 16063.49 28267.92 23890.63 15946.65 26395.72 14767.01 21183.54 15389.79 206
Regformer-187.24 3087.60 2786.15 8095.14 3265.83 14193.95 7195.12 1682.11 2284.25 6195.73 3667.88 4898.35 3385.60 6388.64 11194.26 106
Regformer-287.00 3787.43 3085.71 9695.14 3264.73 17093.95 7194.95 2381.69 2784.03 6695.73 3667.35 5298.19 3785.40 6588.64 11194.20 108
HPM-MVS++copyleft89.37 1389.95 1287.64 2995.10 3468.23 7595.24 3294.49 4182.43 1888.90 2496.35 2471.89 3398.63 2488.76 3696.40 696.06 36
CSCG86.87 3886.26 4588.72 1595.05 3570.79 2493.83 8295.33 1168.48 24977.63 12994.35 8573.04 2598.45 2984.92 7093.71 4996.92 11
dcpmvs_287.37 2887.55 2886.85 5095.04 3668.20 7690.36 21590.66 19879.37 5281.20 8693.67 10274.73 1596.55 11890.88 2192.00 7595.82 45
LFMVS84.34 7582.73 9789.18 1394.76 3773.25 1094.99 4391.89 14671.90 18482.16 7893.49 10747.98 25597.05 9082.55 8984.82 14197.25 7
CDPH-MVS85.71 5585.46 5786.46 6894.75 3867.19 10393.89 7692.83 11170.90 21683.09 7295.28 4963.62 9497.36 7380.63 10494.18 3994.84 86
test_prior387.38 2787.70 2486.42 7094.71 3967.35 9895.10 3793.10 10275.40 10985.25 5395.61 4067.94 4596.84 10787.47 4694.77 2595.05 77
test_prior86.42 7094.71 3967.35 9893.10 10296.84 10795.05 77
test1287.09 4594.60 4168.86 5892.91 10882.67 7665.44 7197.55 6493.69 5094.84 86
test_yl84.28 7683.16 8787.64 2994.52 4269.24 5095.78 1795.09 1969.19 23981.09 8892.88 12157.00 16297.44 6881.11 10281.76 16396.23 33
DCV-MVSNet84.28 7683.16 8787.64 2994.52 4269.24 5095.78 1795.09 1969.19 23981.09 8892.88 12157.00 16297.44 6881.11 10281.76 16396.23 33
CANet89.61 1189.99 1188.46 2094.39 4469.71 4396.53 1193.78 6586.89 489.68 1995.78 3465.94 6599.10 992.99 493.91 4496.58 17
test_894.19 4567.19 10394.15 5893.42 8771.87 18785.38 5095.35 4568.19 4196.95 102
TEST994.18 4667.28 10094.16 5693.51 8071.75 19485.52 4895.33 4668.01 4497.27 82
train_agg87.21 3187.42 3186.60 6194.18 4667.28 10094.16 5693.51 8071.87 18785.52 4895.33 4668.19 4197.27 8289.09 3194.90 2195.25 70
Regformer-385.80 5385.92 5085.46 10394.17 4865.09 16392.95 11295.11 1781.13 3381.68 8195.04 5965.82 6798.32 3483.02 8384.36 14592.97 153
Regformer-485.45 5885.69 5584.73 12594.17 4863.23 20992.95 11294.83 2680.66 3881.29 8495.04 5965.12 7398.08 4082.74 8584.36 14592.88 157
agg_prior187.02 3687.26 3386.28 7794.16 5066.97 11194.08 6293.31 9071.85 18984.49 5995.39 4368.91 3896.75 11188.84 3594.32 3895.13 73
agg_prior94.16 5066.97 11193.31 9084.49 5996.75 111
PAPM_NR82.97 10181.84 10886.37 7394.10 5266.76 11887.66 26992.84 11069.96 22974.07 16493.57 10563.10 10397.50 6670.66 18190.58 9694.85 83
FOURS193.95 5361.77 23893.96 6891.92 14462.14 29686.57 35
VNet86.20 4785.65 5687.84 2693.92 5469.99 3395.73 2295.94 678.43 6886.00 4293.07 11458.22 14897.00 9585.22 6784.33 14896.52 19
9.1487.63 2593.86 5594.41 5194.18 5672.76 15986.21 3896.51 1966.64 5997.88 4990.08 2594.04 41
xxxxxxxxxxxxxcwj87.14 3287.19 3486.99 4893.84 5667.89 8395.05 3984.72 31878.19 7086.25 3696.44 2166.98 5497.79 5188.68 3794.56 3395.28 65
save fliter93.84 5667.89 8395.05 3992.66 11778.19 70
PVSNet_BlendedMVS83.38 9483.43 8083.22 16693.76 5867.53 9394.06 6393.61 7679.13 5881.00 9185.14 22563.19 10197.29 7887.08 5273.91 21784.83 286
PVSNet_Blended86.73 4286.86 3986.31 7693.76 5867.53 9396.33 1493.61 7682.34 1981.00 9193.08 11263.19 10197.29 7887.08 5291.38 8694.13 114
HFP-MVS84.73 6884.40 7085.72 9493.75 6065.01 16493.50 9393.19 9672.19 17679.22 11094.93 6559.04 14297.67 5581.55 9592.21 6894.49 102
#test#84.98 6584.74 6685.72 9493.75 6065.01 16494.09 6193.19 9673.55 14479.22 11094.93 6559.04 14297.67 5582.66 8692.21 6894.49 102
Anonymous20240521177.96 19075.33 20685.87 8793.73 6264.52 17294.85 4585.36 31362.52 29376.11 14490.18 16829.43 34197.29 7868.51 19977.24 20295.81 46
SD-MVS87.49 2687.49 2987.50 3593.60 6368.82 6093.90 7592.63 12076.86 9287.90 2795.76 3566.17 6297.63 6089.06 3291.48 8496.05 37
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
ETH3D-3000-0.187.61 2487.89 2186.75 5693.58 6467.21 10294.31 5394.14 5972.92 15687.13 3096.62 1767.81 4997.94 4390.13 2494.42 3695.09 75
ACMMPR84.37 7384.06 7285.28 11093.56 6564.37 18293.50 9393.15 9972.19 17678.85 11994.86 6956.69 16997.45 6781.55 9592.20 7094.02 121
region2R84.36 7484.03 7385.36 10893.54 6664.31 18493.43 9692.95 10772.16 17978.86 11894.84 7056.97 16497.53 6581.38 9992.11 7294.24 107
TSAR-MVS + GP.87.96 1988.37 1886.70 5993.51 6765.32 15295.15 3593.84 6478.17 7285.93 4394.80 7175.80 1398.21 3589.38 2788.78 10896.59 15
PHI-MVS86.83 4086.85 4086.78 5593.47 6865.55 14895.39 2895.10 1871.77 19385.69 4796.52 1862.07 11198.77 2186.06 6195.60 1296.03 38
SR-MVS82.81 10382.58 9983.50 16193.35 6961.16 24992.23 13991.28 17564.48 27581.27 8595.28 4953.71 20495.86 13882.87 8488.77 10993.49 137
EPNet87.84 2288.38 1786.23 7893.30 7066.05 13395.26 3194.84 2587.09 388.06 2694.53 7666.79 5897.34 7583.89 7891.68 8095.29 63
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
test117281.90 11981.83 10982.13 19693.23 7157.52 30191.61 17090.98 19064.32 27780.20 9995.00 6151.26 22595.61 15181.73 9488.13 11593.26 143
XVS83.87 8783.47 7885.05 11593.22 7263.78 19492.92 11492.66 11773.99 13078.18 12394.31 8955.25 18397.41 7079.16 11391.58 8293.95 123
X-MVStestdata76.86 20474.13 22485.05 11593.22 7263.78 19492.92 11492.66 11773.99 13078.18 12310.19 37555.25 18397.41 7079.16 11391.58 8293.95 123
SMA-MVScopyleft88.14 1688.29 1987.67 2893.21 7468.72 6293.85 7894.03 6174.18 12791.74 996.67 1665.61 7098.42 3289.24 3096.08 795.88 44
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
原ACMM184.42 13693.21 7464.27 18793.40 8965.39 27079.51 10792.50 12758.11 15096.69 11365.27 23393.96 4292.32 168
MVS_111021_HR86.19 4885.80 5387.37 3893.17 7669.79 4093.99 6793.76 6879.08 6078.88 11793.99 9762.25 11098.15 3885.93 6291.15 9094.15 113
CP-MVS83.71 9183.40 8384.65 12993.14 7763.84 19294.59 4892.28 12871.03 21477.41 13294.92 6755.21 18696.19 12581.32 10090.70 9493.91 125
DELS-MVS90.05 790.09 1089.94 493.14 7773.88 897.01 394.40 4888.32 285.71 4694.91 6874.11 2098.91 1787.26 5195.94 997.03 10
Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023
ZNCC-MVS85.33 6085.08 6186.06 8193.09 7965.65 14593.89 7693.41 8873.75 13879.94 10194.68 7460.61 12398.03 4182.63 8893.72 4894.52 99
DeepPCF-MVS81.17 189.72 991.38 384.72 12793.00 8058.16 29196.72 794.41 4686.50 690.25 1897.83 175.46 1498.67 2392.78 595.49 1397.32 6
PLCcopyleft68.80 1475.23 23173.68 23079.86 24992.93 8158.68 28690.64 20888.30 27960.90 30464.43 27390.53 16042.38 28694.57 18956.52 27776.54 20686.33 255
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
DWT-MVSNet_test83.95 8582.80 9587.41 3792.90 8270.07 3289.12 24794.42 4582.15 2177.64 12891.77 14270.81 3596.22 12465.03 23481.36 16795.94 40
MSP-MVS90.38 491.87 185.88 8692.83 8364.03 19193.06 10594.33 5282.19 2093.65 396.15 3085.89 197.19 8491.02 2097.75 196.43 26
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
mPP-MVS82.96 10282.44 10284.52 13392.83 8362.92 21992.76 11791.85 14971.52 20475.61 15194.24 9153.48 20896.99 9878.97 11690.73 9393.64 134
GST-MVS84.63 7184.29 7185.66 9892.82 8565.27 15393.04 10793.13 10073.20 14878.89 11494.18 9359.41 13897.85 5081.45 9792.48 6793.86 128
WTY-MVS86.32 4585.81 5287.85 2592.82 8569.37 4995.20 3395.25 1282.71 1681.91 7994.73 7267.93 4797.63 6079.55 11082.25 15996.54 18
PGM-MVS83.25 9682.70 9884.92 11992.81 8764.07 19090.44 21192.20 13571.28 20977.23 13594.43 7955.17 18797.31 7779.33 11291.38 8693.37 138
EI-MVSNet-Vis-set83.77 8983.67 7584.06 14592.79 8863.56 20591.76 16394.81 2879.65 4977.87 12594.09 9463.35 9997.90 4779.35 11179.36 17890.74 196
SF-MVS87.03 3587.09 3686.84 5192.70 8967.45 9793.64 8693.76 6870.78 22086.25 3696.44 2166.98 5497.79 5188.68 3794.56 3395.28 65
MVSTER82.47 10882.05 10583.74 15192.68 9069.01 5591.90 15593.21 9379.83 4472.14 18685.71 22174.72 1694.72 18475.72 13772.49 22787.50 233
MP-MVScopyleft85.02 6384.97 6385.17 11492.60 9164.27 18793.24 10092.27 12973.13 15079.63 10694.43 7961.90 11297.17 8585.00 6892.56 6494.06 119
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
thres20079.66 15678.33 16083.66 15792.54 9265.82 14293.06 10596.31 374.90 11873.30 16988.66 18259.67 13495.61 15147.84 31078.67 18589.56 211
test_part179.63 15777.86 17184.93 11892.50 9371.43 1794.15 5891.08 18572.51 16470.66 20084.98 22759.84 13195.07 17372.07 16962.94 29188.30 227
APD-MVS_3200maxsize81.64 12281.32 11482.59 18192.36 9458.74 28591.39 17891.01 18963.35 28379.72 10594.62 7551.82 21896.14 12779.71 10887.93 11792.89 156
新几何184.73 12592.32 9564.28 18691.46 16759.56 31479.77 10492.90 11956.95 16596.57 11663.40 24392.91 6093.34 139
112181.25 12780.05 13284.87 12292.30 9664.31 18487.91 26591.39 16959.44 31579.94 10192.91 11857.09 15897.01 9366.63 21392.81 6293.29 142
EI-MVSNet-UG-set83.14 9882.96 9083.67 15692.28 9763.19 21191.38 18094.68 3479.22 5576.60 14193.75 10062.64 10597.76 5378.07 12578.01 18990.05 204
HPM-MVScopyleft83.25 9682.95 9184.17 14392.25 9862.88 22190.91 19791.86 14870.30 22577.12 13693.96 9856.75 16796.28 12282.04 9191.34 8893.34 139
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
HY-MVS76.49 584.28 7683.36 8587.02 4792.22 9967.74 8784.65 28894.50 4079.15 5782.23 7787.93 19666.88 5696.94 10380.53 10582.20 16096.39 28
tfpn200view978.79 17477.43 17782.88 17392.21 10064.49 17392.05 14796.28 473.48 14571.75 19288.26 19060.07 12995.32 16645.16 32077.58 19488.83 214
thres40078.68 17777.43 17782.43 18392.21 10064.49 17392.05 14796.28 473.48 14571.75 19288.26 19060.07 12995.32 16645.16 32077.58 19487.48 234
PS-MVSNAJ88.14 1687.61 2689.71 792.06 10276.72 195.75 1993.26 9283.86 1189.55 2096.06 3153.55 20597.89 4891.10 1893.31 5494.54 97
SR-MVS-dyc-post81.06 13280.70 12382.15 19492.02 10358.56 28790.90 19890.45 20162.76 28978.89 11494.46 7751.26 22595.61 15178.77 11986.77 12792.28 170
RE-MVS-def80.48 12892.02 10358.56 28790.90 19890.45 20162.76 28978.89 11494.46 7749.30 24278.77 11986.77 12792.28 170
MSLP-MVS++86.27 4685.91 5187.35 3992.01 10568.97 5795.04 4192.70 11479.04 6181.50 8396.50 2058.98 14496.78 10983.49 8093.93 4396.29 30
CS-MVS85.74 5486.65 4282.98 17192.00 10658.07 29395.32 3091.87 14779.98 4384.86 5595.38 4462.27 10995.52 16086.12 6092.08 7395.36 57
CS-MVS-test85.64 5686.53 4382.99 17092.00 10658.08 29295.38 2991.54 16179.99 4284.86 5594.32 8862.47 10795.52 16086.13 5892.08 7395.37 56
ETH3D cwj APD-0.1687.06 3487.18 3586.71 5791.99 10867.48 9692.97 11094.21 5571.48 20785.72 4596.32 2668.13 4398.00 4289.06 3294.70 3194.65 93
旧先验191.94 10960.74 25991.50 16594.36 8165.23 7291.84 7794.55 95
thres600view778.00 18876.66 19082.03 20291.93 11063.69 20091.30 18596.33 172.43 16870.46 20387.89 19760.31 12494.92 17942.64 33276.64 20587.48 234
LS3D69.17 27666.40 27977.50 28091.92 11156.12 31285.12 28580.37 34146.96 35256.50 31887.51 20237.25 31193.71 22632.52 36179.40 17782.68 312
GG-mvs-BLEND86.53 6691.91 11269.67 4575.02 34094.75 3178.67 12190.85 15577.91 794.56 19172.25 16593.74 4795.36 57
thres100view90078.37 18377.01 18582.46 18291.89 11363.21 21091.19 19196.33 172.28 17370.45 20487.89 19760.31 12495.32 16645.16 32077.58 19488.83 214
zzz-MVS84.73 6884.47 6785.50 10191.89 11365.16 15791.55 17192.23 13075.32 11180.53 9595.21 5556.06 17797.16 8684.86 7192.55 6594.18 109
MTAPA83.91 8683.38 8485.50 10191.89 11365.16 15781.75 30892.23 13075.32 11180.53 9595.21 5556.06 17797.16 8684.86 7192.55 6594.18 109
RRT_test8_iter0580.61 13879.62 14183.60 15891.87 11666.90 11393.42 9893.68 7377.09 9068.83 22785.63 22266.82 5795.42 16276.46 13562.74 29388.48 221
canonicalmvs86.85 3986.25 4688.66 1891.80 11771.92 1593.54 9191.71 15580.26 4187.55 2895.25 5363.59 9696.93 10588.18 3984.34 14797.11 8
TSAR-MVS + MP.88.11 1888.64 1686.54 6591.73 11868.04 7990.36 21593.55 7982.89 1491.29 1292.89 12072.27 3096.03 13487.99 4094.77 2595.54 52
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
ACMMPcopyleft81.49 12380.67 12483.93 14891.71 11962.90 22092.13 14192.22 13471.79 19271.68 19493.49 10750.32 23196.96 10178.47 12184.22 15291.93 177
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
BH-RMVSNet79.46 16277.65 17384.89 12091.68 12065.66 14493.55 9088.09 28572.93 15573.37 16891.12 15246.20 27096.12 12856.28 27985.61 13792.91 155
baseline181.84 12081.03 12084.28 14291.60 12166.62 12191.08 19491.66 15881.87 2574.86 15691.67 14669.98 3794.92 17971.76 17264.75 27991.29 191
ACMMP_NAP86.05 4985.80 5386.80 5491.58 12267.53 9391.79 16093.49 8374.93 11784.61 5795.30 4859.42 13797.92 4586.13 5894.92 1994.94 82
MVS_Test84.16 8183.20 8687.05 4691.56 12369.82 3989.99 22992.05 13877.77 7882.84 7386.57 21163.93 8996.09 12974.91 14689.18 10695.25 70
HPM-MVS_fast80.25 14579.55 14582.33 18791.55 12459.95 27191.32 18489.16 25365.23 27374.71 15793.07 11447.81 25795.74 14274.87 14888.23 11391.31 190
CPTT-MVS79.59 15879.16 15380.89 23191.54 12559.80 27392.10 14388.54 27660.42 30772.96 17193.28 10948.27 25192.80 24978.89 11886.50 13290.06 203
CNLPA74.31 23972.30 24580.32 23691.49 12661.66 24190.85 20180.72 34056.67 32963.85 27790.64 15746.75 26290.84 29353.79 28775.99 20988.47 223
MP-MVS-pluss85.24 6185.13 6085.56 10091.42 12765.59 14791.54 17292.51 12474.56 12080.62 9495.64 3959.15 14197.00 9586.94 5493.80 4594.07 118
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
gg-mvs-nofinetune77.18 20274.31 21985.80 9191.42 12768.36 6971.78 34294.72 3249.61 34677.12 13645.92 36377.41 893.98 21867.62 20693.16 5695.05 77
xiu_mvs_v2_base87.92 2187.38 3289.55 1291.41 12976.43 395.74 2093.12 10183.53 1389.55 2095.95 3253.45 20997.68 5491.07 1992.62 6394.54 97
EIA-MVS84.84 6784.88 6484.69 12891.30 13062.36 22893.85 7892.04 13979.45 5079.33 10994.28 9062.42 10896.35 12180.05 10791.25 8995.38 55
alignmvs87.28 2986.97 3788.24 2391.30 13071.14 2295.61 2493.56 7879.30 5387.07 3395.25 5368.43 3996.93 10587.87 4184.33 14896.65 13
EPMVS78.49 18275.98 19986.02 8291.21 13269.68 4480.23 32191.20 17675.25 11372.48 18178.11 30554.65 19193.69 22757.66 27583.04 15494.69 89
FMVSNet377.73 19476.04 19882.80 17491.20 13368.99 5691.87 15691.99 14173.35 14767.04 25183.19 24756.62 17092.14 27259.80 26769.34 24587.28 240
Anonymous2024052976.84 20674.15 22384.88 12191.02 13464.95 16793.84 8191.09 18353.57 33673.00 17087.42 20335.91 32097.32 7669.14 19472.41 22992.36 166
tpmvs72.88 25369.76 26582.22 19290.98 13567.05 10878.22 33388.30 27963.10 28764.35 27474.98 32755.09 18894.27 20243.25 32669.57 24485.34 281
MVS84.66 7082.86 9490.06 290.93 13674.56 687.91 26595.54 968.55 24772.35 18594.71 7359.78 13398.90 1881.29 10194.69 3296.74 12
PVSNet73.49 880.05 14978.63 15784.31 14090.92 13764.97 16692.47 13391.05 18779.18 5672.43 18390.51 16137.05 31694.06 21168.06 20186.00 13493.90 127
RRT_MVS77.38 19976.59 19179.77 25290.91 13863.61 20491.15 19290.91 19172.28 17372.06 18887.28 20643.92 28089.04 31273.32 15267.47 26086.67 248
3Dnovator+73.60 782.10 11680.60 12686.60 6190.89 13966.80 11795.20 3393.44 8674.05 12967.42 24692.49 12949.46 24097.65 5970.80 17891.68 8095.33 59
VDD-MVS83.06 9981.81 11086.81 5390.86 14067.70 8895.40 2791.50 16575.46 10681.78 8092.34 13440.09 29397.13 8886.85 5582.04 16195.60 50
BH-w/o80.49 14279.30 15084.05 14690.83 14164.36 18393.60 8889.42 24374.35 12369.09 22090.15 16955.23 18595.61 15164.61 23686.43 13392.17 175
ET-MVSNet_ETH3D84.01 8383.15 8986.58 6390.78 14270.89 2394.74 4794.62 3781.44 3058.19 30893.64 10373.64 2492.35 26982.66 8678.66 18696.50 23
Anonymous2023121173.08 24870.39 25981.13 22190.62 14363.33 20791.40 17690.06 22351.84 34064.46 27280.67 28236.49 31894.07 21063.83 24164.17 28485.98 267
TR-MVS78.77 17577.37 18282.95 17290.49 14460.88 25393.67 8590.07 22070.08 22874.51 15891.37 15045.69 27195.70 14860.12 26580.32 17392.29 169
SteuartSystems-ACMMP86.82 4186.90 3886.58 6390.42 14566.38 12696.09 1593.87 6377.73 7984.01 6795.66 3863.39 9897.94 4387.40 4893.55 5295.42 53
Skip Steuart: Steuart Systems R&D Blog.
TAPA-MVS70.22 1274.94 23573.53 23179.17 26390.40 14652.07 33189.19 24589.61 23862.69 29170.07 20992.67 12548.89 24994.32 19938.26 34679.97 17491.12 193
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
mvs_anonymous81.36 12579.99 13585.46 10390.39 14768.40 6886.88 27990.61 20074.41 12170.31 20784.67 23163.79 9192.32 27073.13 15485.70 13595.67 47
CANet_DTU84.09 8283.52 7685.81 9090.30 14866.82 11591.87 15689.01 26185.27 786.09 4193.74 10147.71 25896.98 9977.90 12789.78 10293.65 133
Fast-Effi-MVS+81.14 12980.01 13484.51 13490.24 14965.86 13994.12 6089.15 25473.81 13775.37 15488.26 19057.26 15694.53 19466.97 21284.92 14093.15 147
ETV-MVS86.01 5086.11 4885.70 9790.21 15067.02 11093.43 9691.92 14481.21 3284.13 6594.07 9660.93 12095.63 14989.28 2989.81 10094.46 104
tpmrst80.57 13979.14 15484.84 12390.10 15168.28 7281.70 30989.72 23677.63 8375.96 14579.54 29764.94 7792.71 25275.43 13877.28 20193.55 135
PVSNet_Blended_VisFu83.97 8483.50 7785.39 10790.02 15266.59 12393.77 8391.73 15377.43 8777.08 13889.81 17463.77 9296.97 10079.67 10988.21 11492.60 161
UGNet79.87 15378.68 15683.45 16389.96 15361.51 24392.13 14190.79 19376.83 9378.85 11986.33 21438.16 30296.17 12667.93 20387.17 12292.67 159
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
CHOSEN 1792x268884.98 6583.45 7989.57 1189.94 15475.14 592.07 14692.32 12781.87 2575.68 14888.27 18960.18 12698.60 2580.46 10690.27 9994.96 81
abl_679.82 15479.20 15281.70 20889.85 15558.34 28988.47 25890.07 22062.56 29277.71 12793.08 11247.65 25996.78 10977.94 12685.45 13889.99 205
BH-untuned78.68 17777.08 18383.48 16289.84 15663.74 19692.70 12188.59 27471.57 20266.83 25488.65 18351.75 22095.39 16459.03 27084.77 14291.32 189
test22289.77 15761.60 24289.55 23589.42 24356.83 32877.28 13492.43 13152.76 21291.14 9193.09 149
PMMVS81.98 11882.04 10681.78 20489.76 15856.17 31191.13 19390.69 19577.96 7480.09 10093.57 10546.33 26894.99 17581.41 9887.46 12094.17 111
DPM-MVS90.70 290.52 791.24 189.68 15976.68 297.29 195.35 1082.87 1591.58 1097.22 479.93 599.10 983.12 8297.64 297.94 1
QAPM79.95 15277.39 18187.64 2989.63 16071.41 1893.30 9993.70 7265.34 27267.39 24891.75 14447.83 25698.96 1657.71 27489.81 10092.54 163
3Dnovator73.91 682.69 10780.82 12188.31 2289.57 16171.26 1992.60 12794.39 4978.84 6367.89 24092.48 13048.42 25098.52 2668.80 19894.40 3795.15 72
Effi-MVS+83.82 8882.76 9686.99 4889.56 16269.40 4691.35 18286.12 30772.59 16183.22 7192.81 12459.60 13596.01 13681.76 9387.80 11895.56 51
PatchmatchNetpermissive77.46 19774.63 21285.96 8489.55 16370.35 2979.97 32589.55 23972.23 17570.94 19876.91 31657.03 16092.79 25054.27 28581.17 16894.74 88
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
PatchMatch-RL72.06 25969.98 26078.28 27289.51 16455.70 31583.49 29583.39 33261.24 30363.72 27882.76 24934.77 32393.03 23853.37 29077.59 19386.12 264
thisisatest051583.41 9382.49 10186.16 7989.46 16568.26 7393.54 9194.70 3374.31 12475.75 14690.92 15372.62 2896.52 11969.64 18681.50 16593.71 131
h-mvs3383.01 10082.56 10084.35 13989.34 16662.02 23392.72 11993.76 6881.45 2882.73 7492.25 13660.11 12797.13 8887.69 4362.96 29093.91 125
DROMVSNet84.53 7285.04 6283.01 16989.34 16661.37 24694.42 5091.09 18377.91 7683.24 7094.20 9258.37 14795.40 16385.35 6691.41 8592.27 173
UA-Net80.02 15079.65 14081.11 22289.33 16857.72 29786.33 28289.00 26277.44 8681.01 9089.15 17959.33 13995.90 13761.01 25984.28 15089.73 208
dp75.01 23472.09 24783.76 15089.28 16966.22 13279.96 32689.75 23171.16 21167.80 24277.19 31351.81 21992.54 26050.39 29671.44 23692.51 164
sss82.71 10682.38 10383.73 15389.25 17059.58 27692.24 13894.89 2477.96 7479.86 10392.38 13256.70 16897.05 9077.26 13080.86 17194.55 95
MVSFormer83.75 9082.88 9386.37 7389.24 17171.18 2089.07 24890.69 19565.80 26787.13 3094.34 8664.99 7592.67 25572.83 15791.80 7895.27 67
lupinMVS87.74 2387.77 2387.63 3389.24 17171.18 2096.57 1092.90 10982.70 1787.13 3095.27 5164.99 7595.80 13989.34 2891.80 7895.93 41
IB-MVS77.80 482.18 11280.46 12987.35 3989.14 17370.28 3095.59 2595.17 1578.85 6270.19 20885.82 21970.66 3697.67 5572.19 16866.52 26694.09 116
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
MDTV_nov1_ep1372.61 24189.06 17468.48 6680.33 31990.11 21971.84 19071.81 19175.92 32453.01 21193.92 22148.04 30773.38 219
testdata81.34 21489.02 17557.72 29789.84 22958.65 31985.32 5194.09 9457.03 16093.28 23469.34 19190.56 9793.03 151
CostFormer82.33 11081.15 11585.86 8889.01 17668.46 6782.39 30693.01 10475.59 10480.25 9881.57 26672.03 3294.96 17679.06 11577.48 19894.16 112
GeoE78.90 17077.43 17783.29 16588.95 17762.02 23392.31 13586.23 30570.24 22671.34 19789.27 17754.43 19694.04 21463.31 24480.81 17293.81 130
GBi-Net75.65 22573.83 22881.10 22388.85 17865.11 16090.01 22690.32 20770.84 21767.04 25180.25 28948.03 25291.54 28659.80 26769.34 24586.64 249
test175.65 22573.83 22881.10 22388.85 17865.11 16090.01 22690.32 20770.84 21767.04 25180.25 28948.03 25291.54 28659.80 26769.34 24586.64 249
FMVSNet276.07 21474.01 22682.26 19188.85 17867.66 8991.33 18391.61 15970.84 21765.98 25882.25 25548.03 25292.00 27758.46 27268.73 25187.10 242
DeepC-MVS77.85 385.52 5785.24 5986.37 7388.80 18166.64 12092.15 14093.68 7381.07 3476.91 13993.64 10362.59 10698.44 3085.50 6492.84 6194.03 120
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
EPP-MVSNet81.79 12181.52 11282.61 18088.77 18260.21 26893.02 10993.66 7568.52 24872.90 17390.39 16472.19 3194.96 17674.93 14579.29 18092.67 159
1112_ss80.56 14079.83 13882.77 17588.65 18360.78 25592.29 13688.36 27872.58 16272.46 18294.95 6365.09 7493.42 23366.38 21977.71 19194.10 115
tpm cat175.30 23072.21 24684.58 13288.52 18467.77 8678.16 33488.02 28661.88 30068.45 23476.37 32060.65 12194.03 21653.77 28874.11 21491.93 177
LCM-MVSNet-Re72.93 25171.84 24976.18 29688.49 18548.02 34880.07 32470.17 36073.96 13352.25 33080.09 29249.98 23588.24 31867.35 20784.23 15192.28 170
Vis-MVSNetpermissive80.92 13579.98 13683.74 15188.48 18661.80 23793.44 9588.26 28373.96 13377.73 12691.76 14349.94 23694.76 18165.84 22590.37 9894.65 93
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
Vis-MVSNet (Re-imp)79.24 16479.57 14278.24 27488.46 18752.29 33090.41 21389.12 25674.24 12669.13 21991.91 14065.77 6890.09 30559.00 27188.09 11692.33 167
ab-mvs80.18 14678.31 16185.80 9188.44 18865.49 15183.00 30392.67 11671.82 19177.36 13385.01 22654.50 19296.59 11476.35 13675.63 21095.32 61
gm-plane-assit88.42 18967.04 10978.62 6791.83 14197.37 7276.57 133
MVS_111021_LR82.02 11781.52 11283.51 16088.42 18962.88 22189.77 23288.93 26376.78 9475.55 15293.10 11050.31 23295.38 16583.82 7987.02 12392.26 174
test250683.29 9582.92 9284.37 13888.39 19163.18 21292.01 14991.35 17177.66 8178.49 12291.42 14764.58 8195.09 17273.19 15389.23 10494.85 83
ECVR-MVScopyleft81.29 12680.38 13084.01 14788.39 19161.96 23592.56 13286.79 29977.66 8176.63 14091.42 14746.34 26795.24 17074.36 15089.23 10494.85 83
baseline85.01 6484.44 6986.71 5788.33 19368.73 6190.24 22091.82 15181.05 3581.18 8792.50 12763.69 9396.08 13184.45 7386.71 12995.32 61
tpm279.80 15577.95 16885.34 10988.28 19468.26 7381.56 31191.42 16870.11 22777.59 13180.50 28467.40 5194.26 20467.34 20877.35 19993.51 136
thisisatest053081.15 12880.07 13184.39 13788.26 19565.63 14691.40 17694.62 3771.27 21070.93 19989.18 17872.47 2996.04 13365.62 22876.89 20491.49 182
casdiffmvs85.37 5984.87 6586.84 5188.25 19669.07 5393.04 10791.76 15281.27 3180.84 9392.07 13864.23 8596.06 13284.98 6987.43 12195.39 54
Test_1112_low_res79.56 15978.60 15882.43 18388.24 19760.39 26592.09 14487.99 28772.10 18071.84 19087.42 20364.62 8093.04 23765.80 22677.30 20093.85 129
PAPM85.89 5285.46 5787.18 4288.20 19872.42 1492.41 13492.77 11282.11 2280.34 9793.07 11468.27 4095.02 17478.39 12293.59 5194.09 116
TESTMET0.1,182.41 10981.98 10783.72 15488.08 19963.74 19692.70 12193.77 6779.30 5377.61 13087.57 20158.19 14994.08 20973.91 15186.68 13093.33 141
ADS-MVSNet266.90 29563.44 30077.26 28688.06 20060.70 26068.01 35275.56 35057.57 32164.48 27069.87 34438.68 29684.10 33940.87 33767.89 25786.97 243
ADS-MVSNet68.54 28364.38 29681.03 22788.06 20066.90 11368.01 35284.02 32557.57 32164.48 27069.87 34438.68 29689.21 31140.87 33767.89 25786.97 243
EPNet_dtu78.80 17379.26 15177.43 28288.06 20049.71 34391.96 15491.95 14377.67 8076.56 14291.28 15158.51 14690.20 30356.37 27880.95 17092.39 165
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
miper_enhance_ethall78.86 17177.97 16781.54 21088.00 20365.17 15691.41 17489.15 25475.19 11468.79 22883.98 23867.17 5392.82 24772.73 16065.30 27086.62 253
IS-MVSNet80.14 14779.41 14782.33 18787.91 20460.08 27091.97 15388.27 28172.90 15771.44 19691.73 14561.44 11593.66 22862.47 25286.53 13193.24 144
CLD-MVS82.73 10482.35 10483.86 14987.90 20567.65 9095.45 2692.18 13785.06 872.58 17892.27 13552.46 21595.78 14084.18 7479.06 18188.16 228
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
test111180.84 13680.02 13383.33 16487.87 20660.76 25792.62 12686.86 29877.86 7775.73 14791.39 14946.35 26694.70 18772.79 15988.68 11094.52 99
HyFIR lowres test81.03 13379.56 14385.43 10587.81 20768.11 7890.18 22190.01 22570.65 22272.95 17286.06 21763.61 9594.50 19675.01 14479.75 17693.67 132
131480.70 13778.95 15585.94 8587.77 20867.56 9187.91 26592.55 12372.17 17867.44 24593.09 11150.27 23397.04 9271.68 17487.64 11993.23 145
cl2277.94 19176.78 18881.42 21287.57 20964.93 16890.67 20688.86 26672.45 16767.63 24482.68 25164.07 8692.91 24571.79 17065.30 27086.44 254
HQP-NCC87.54 21094.06 6379.80 4574.18 160
ACMP_Plane87.54 21094.06 6379.80 4574.18 160
HQP-MVS81.14 12980.64 12582.64 17987.54 21063.66 20294.06 6391.70 15679.80 4574.18 16090.30 16651.63 22295.61 15177.63 12878.90 18288.63 218
NP-MVS87.41 21363.04 21390.30 166
diffmvs84.28 7683.83 7485.61 9987.40 21468.02 8090.88 20089.24 24880.54 3981.64 8292.52 12659.83 13294.52 19587.32 5085.11 13994.29 105
baseline283.68 9283.42 8284.48 13587.37 21566.00 13590.06 22495.93 779.71 4869.08 22190.39 16477.92 696.28 12278.91 11781.38 16691.16 192
plane_prior687.23 21662.32 22950.66 229
tttt051779.50 16078.53 15982.41 18687.22 21761.43 24589.75 23394.76 3069.29 23767.91 23988.06 19572.92 2695.63 14962.91 24873.90 21890.16 202
plane_prior187.15 218
cascas78.18 18675.77 20285.41 10687.14 21969.11 5292.96 11191.15 18066.71 26170.47 20286.07 21637.49 31096.48 12070.15 18479.80 17590.65 197
CHOSEN 280x42077.35 20076.95 18778.55 26987.07 22062.68 22569.71 34882.95 33468.80 24471.48 19587.27 20766.03 6484.00 34276.47 13482.81 15788.95 213
HQP_MVS80.34 14479.75 13982.12 19786.94 22162.42 22693.13 10391.31 17278.81 6472.53 17989.14 18050.66 22995.55 15776.74 13178.53 18788.39 224
plane_prior786.94 22161.51 243
test-LLR80.10 14879.56 14381.72 20686.93 22361.17 24792.70 12191.54 16171.51 20575.62 14986.94 20853.83 20192.38 26672.21 16684.76 14391.60 180
test-mter79.96 15179.38 14981.72 20686.93 22361.17 24792.70 12191.54 16173.85 13575.62 14986.94 20849.84 23892.38 26672.21 16684.76 14391.60 180
SCA75.82 22372.76 23885.01 11786.63 22570.08 3181.06 31589.19 25171.60 20170.01 21077.09 31445.53 27290.25 29860.43 26273.27 22094.68 90
AUN-MVS78.37 18377.43 17781.17 21886.60 22657.45 30389.46 23991.16 17874.11 12874.40 15990.49 16255.52 18294.57 18974.73 14960.43 31691.48 183
hse-mvs281.12 13181.11 11981.16 21986.52 22757.48 30289.40 24091.16 17881.45 2882.73 7490.49 16260.11 12794.58 18887.69 4360.41 31791.41 185
xiu_mvs_v1_base_debu82.16 11381.12 11685.26 11186.42 22868.72 6292.59 12990.44 20473.12 15184.20 6294.36 8138.04 30495.73 14384.12 7586.81 12491.33 186
xiu_mvs_v1_base82.16 11381.12 11685.26 11186.42 22868.72 6292.59 12990.44 20473.12 15184.20 6294.36 8138.04 30495.73 14384.12 7586.81 12491.33 186
xiu_mvs_v1_base_debi82.16 11381.12 11685.26 11186.42 22868.72 6292.59 12990.44 20473.12 15184.20 6294.36 8138.04 30495.73 14384.12 7586.81 12491.33 186
F-COLMAP70.66 26568.44 27077.32 28486.37 23155.91 31388.00 26386.32 30256.94 32757.28 31688.07 19433.58 32692.49 26251.02 29468.37 25383.55 295
CDS-MVSNet81.43 12480.74 12283.52 15986.26 23264.45 17692.09 14490.65 19975.83 10373.95 16689.81 17463.97 8892.91 24571.27 17582.82 15693.20 146
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
VDDNet80.50 14178.26 16287.21 4186.19 23369.79 4094.48 4991.31 17260.42 30779.34 10890.91 15438.48 30096.56 11782.16 9081.05 16995.27 67
jason86.40 4486.17 4787.11 4486.16 23470.54 2795.71 2392.19 13682.00 2484.58 5894.34 8661.86 11395.53 15987.76 4290.89 9295.27 67
jason: jason.
PCF-MVS73.15 979.29 16377.63 17484.29 14186.06 23565.96 13787.03 27591.10 18269.86 23169.79 21690.64 15757.54 15596.59 11464.37 23882.29 15890.32 200
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
MS-PatchMatch77.90 19376.50 19282.12 19785.99 23669.95 3691.75 16592.70 11473.97 13262.58 28884.44 23441.11 29095.78 14063.76 24292.17 7180.62 330
FIs79.47 16179.41 14779.67 25485.95 23759.40 27891.68 16793.94 6278.06 7368.96 22488.28 18866.61 6091.77 28166.20 22274.99 21187.82 230
VPA-MVSNet79.03 16678.00 16682.11 20085.95 23764.48 17593.22 10294.66 3575.05 11674.04 16584.95 22852.17 21793.52 23074.90 14767.04 26288.32 226
tpm78.58 18077.03 18483.22 16685.94 23964.56 17183.21 30191.14 18178.31 6973.67 16779.68 29564.01 8792.09 27566.07 22371.26 23793.03 151
OpenMVScopyleft70.45 1178.54 18175.92 20086.41 7285.93 24071.68 1692.74 11892.51 12466.49 26364.56 26991.96 13943.88 28198.10 3954.61 28390.65 9589.44 212
OMC-MVS78.67 17977.91 17080.95 22985.76 24157.40 30488.49 25788.67 27173.85 13572.43 18392.10 13749.29 24394.55 19272.73 16077.89 19090.91 195
miper_ehance_all_eth77.60 19576.44 19381.09 22685.70 24264.41 18090.65 20788.64 27372.31 17167.37 24982.52 25264.77 7992.64 25870.67 18065.30 27086.24 259
KD-MVS_2432*160069.03 27866.37 28077.01 28885.56 24361.06 25081.44 31290.25 21367.27 25758.00 31176.53 31854.49 19387.63 32548.04 30735.77 36282.34 315
miper_refine_blended69.03 27866.37 28077.01 28885.56 24361.06 25081.44 31290.25 21367.27 25758.00 31176.53 31854.49 19387.63 32548.04 30735.77 36282.34 315
EI-MVSNet78.97 16878.22 16381.25 21685.33 24562.73 22489.53 23793.21 9372.39 17072.14 18690.13 17060.99 11894.72 18467.73 20572.49 22786.29 257
CVMVSNet74.04 24174.27 22073.33 31385.33 24543.94 35989.53 23788.39 27754.33 33570.37 20590.13 17049.17 24584.05 34061.83 25679.36 17891.99 176
ACMH63.93 1768.62 28164.81 28980.03 24485.22 24763.25 20887.72 26884.66 32060.83 30551.57 33379.43 29827.29 34694.96 17641.76 33364.84 27781.88 320
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
cl____76.07 21474.67 21080.28 23885.15 24861.76 23990.12 22288.73 26971.16 21165.43 26181.57 26661.15 11692.95 24066.54 21662.17 29886.13 263
DIV-MVS_self_test76.07 21474.67 21080.28 23885.14 24961.75 24090.12 22288.73 26971.16 21165.42 26281.60 26561.15 11692.94 24466.54 21662.16 30086.14 261
TAMVS80.37 14379.45 14683.13 16885.14 24963.37 20691.23 18790.76 19474.81 11972.65 17688.49 18460.63 12292.95 24069.41 19081.95 16293.08 150
MSDG69.54 27465.73 28380.96 22885.11 25163.71 19884.19 29083.28 33356.95 32654.50 32184.03 23631.50 33496.03 13442.87 33069.13 24883.14 305
c3_l76.83 20775.47 20580.93 23085.02 25264.18 18990.39 21488.11 28471.66 19566.65 25681.64 26463.58 9792.56 25969.31 19262.86 29286.04 265
ACMP71.68 1075.58 22874.23 22179.62 25684.97 25359.64 27490.80 20389.07 25970.39 22462.95 28487.30 20538.28 30193.87 22372.89 15671.45 23585.36 280
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
FC-MVSNet-test77.99 18978.08 16577.70 27784.89 25455.51 31690.27 21893.75 7176.87 9166.80 25587.59 20065.71 6990.23 30262.89 24973.94 21687.37 237
PVSNet_068.08 1571.81 26068.32 27282.27 18984.68 25562.31 23088.68 25490.31 21075.84 10257.93 31380.65 28337.85 30794.19 20569.94 18529.05 36790.31 201
eth_miper_zixun_eth75.96 22074.40 21880.66 23284.66 25663.02 21489.28 24288.27 28171.88 18665.73 25981.65 26359.45 13692.81 24868.13 20060.53 31486.14 261
WR-MVS76.76 20875.74 20379.82 25084.60 25762.27 23192.60 12792.51 12476.06 10067.87 24185.34 22356.76 16690.24 30162.20 25363.69 28986.94 245
ACMH+65.35 1667.65 29064.55 29276.96 29084.59 25857.10 30788.08 26280.79 33958.59 32053.00 32781.09 27826.63 34892.95 24046.51 31461.69 30780.82 327
VPNet78.82 17277.53 17682.70 17784.52 25966.44 12593.93 7392.23 13080.46 4072.60 17788.38 18749.18 24493.13 23672.47 16463.97 28788.55 220
IterMVS-LS76.49 21075.18 20880.43 23584.49 26062.74 22390.64 20888.80 26772.40 16965.16 26481.72 26260.98 11992.27 27167.74 20464.65 28186.29 257
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
UniMVSNet_NR-MVSNet78.15 18777.55 17579.98 24584.46 26160.26 26692.25 13793.20 9577.50 8568.88 22586.61 21066.10 6392.13 27366.38 21962.55 29487.54 232
FMVSNet568.04 28765.66 28575.18 30184.43 26257.89 29483.54 29486.26 30461.83 30153.64 32673.30 33237.15 31485.08 33648.99 30261.77 30382.56 314
MVS-HIRNet60.25 32055.55 32674.35 30684.37 26356.57 31071.64 34374.11 35334.44 36345.54 35242.24 36631.11 33789.81 30640.36 34076.10 20876.67 351
LPG-MVS_test75.82 22374.58 21479.56 25884.31 26459.37 27990.44 21189.73 23469.49 23464.86 26588.42 18538.65 29894.30 20072.56 16272.76 22485.01 284
LGP-MVS_train79.56 25884.31 26459.37 27989.73 23469.49 23464.86 26588.42 18538.65 29894.30 20072.56 16272.76 22485.01 284
ACMM69.62 1374.34 23872.73 23979.17 26384.25 26657.87 29590.36 21589.93 22663.17 28665.64 26086.04 21837.79 30894.10 20765.89 22471.52 23485.55 277
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
UniMVSNet (Re)77.58 19676.78 18879.98 24584.11 26760.80 25491.76 16393.17 9876.56 9769.93 21484.78 23063.32 10092.36 26864.89 23562.51 29686.78 247
test_040264.54 30561.09 31174.92 30284.10 26860.75 25887.95 26479.71 34352.03 33952.41 32977.20 31232.21 33291.64 28323.14 36561.03 31072.36 357
LTVRE_ROB59.60 1966.27 29863.54 29974.45 30584.00 26951.55 33367.08 35583.53 32958.78 31854.94 32080.31 28734.54 32493.23 23540.64 33968.03 25578.58 346
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
miper_lstm_enhance73.05 24971.73 25177.03 28783.80 27058.32 29081.76 30788.88 26469.80 23261.01 29378.23 30457.19 15787.51 32765.34 23259.53 31985.27 283
Patchmatch-test65.86 30060.94 31280.62 23383.75 27158.83 28458.91 36275.26 35244.50 35850.95 33777.09 31458.81 14587.90 32135.13 35264.03 28595.12 74
nrg03080.93 13479.86 13784.13 14483.69 27268.83 5993.23 10191.20 17675.55 10575.06 15588.22 19363.04 10494.74 18381.88 9266.88 26388.82 216
GA-MVS78.33 18576.23 19684.65 12983.65 27366.30 12991.44 17390.14 21876.01 10170.32 20684.02 23742.50 28594.72 18470.98 17677.00 20392.94 154
FMVSNet172.71 25669.91 26381.10 22383.60 27465.11 16090.01 22690.32 20763.92 27963.56 27980.25 28936.35 31991.54 28654.46 28466.75 26486.64 249
OPM-MVS79.00 16778.09 16481.73 20583.52 27563.83 19391.64 16990.30 21176.36 9971.97 18989.93 17346.30 26995.17 17175.10 14177.70 19286.19 260
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
tfpnnormal70.10 26967.36 27578.32 27183.45 27660.97 25288.85 25192.77 11264.85 27460.83 29578.53 30143.52 28393.48 23131.73 36261.70 30680.52 331
Effi-MVS+-dtu76.14 21375.28 20778.72 26883.22 27755.17 31889.87 23087.78 28975.42 10767.98 23781.43 26845.08 27592.52 26175.08 14271.63 23288.48 221
mvs-test178.74 17677.95 16881.14 22083.22 27757.13 30693.96 6887.78 28975.42 10772.68 17590.80 15645.08 27594.54 19375.08 14277.49 19791.74 179
CR-MVSNet73.79 24570.82 25782.70 17783.15 27967.96 8170.25 34584.00 32673.67 14269.97 21272.41 33557.82 15289.48 30952.99 29173.13 22190.64 198
RPMNet70.42 26865.68 28484.63 13183.15 27967.96 8170.25 34590.45 20146.83 35469.97 21265.10 35256.48 17395.30 16935.79 35173.13 22190.64 198
DU-MVS76.86 20475.84 20179.91 24782.96 28160.26 26691.26 18691.54 16176.46 9868.88 22586.35 21256.16 17492.13 27366.38 21962.55 29487.35 238
NR-MVSNet76.05 21774.59 21380.44 23482.96 28162.18 23290.83 20291.73 15377.12 8960.96 29486.35 21259.28 14091.80 28060.74 26061.34 30987.35 238
XXY-MVS77.94 19176.44 19382.43 18382.60 28364.44 17792.01 14991.83 15073.59 14370.00 21185.82 21954.43 19694.76 18169.63 18768.02 25688.10 229
TranMVSNet+NR-MVSNet75.86 22274.52 21679.89 24882.44 28460.64 26291.37 18191.37 17076.63 9567.65 24386.21 21552.37 21691.55 28561.84 25560.81 31287.48 234
IterMVS72.65 25870.83 25678.09 27582.17 28562.96 21687.64 27086.28 30371.56 20360.44 29678.85 30045.42 27486.66 33163.30 24561.83 30284.65 288
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
Patchmtry67.53 29263.93 29778.34 27082.12 28664.38 18168.72 34984.00 32648.23 35159.24 30172.41 33557.82 15289.27 31046.10 31756.68 32981.36 323
PatchT69.11 27765.37 28880.32 23682.07 28763.68 20167.96 35487.62 29150.86 34369.37 21765.18 35157.09 15888.53 31641.59 33566.60 26588.74 217
MIMVSNet71.64 26168.44 27081.23 21781.97 28864.44 17773.05 34188.80 26769.67 23364.59 26874.79 32832.79 32887.82 32253.99 28676.35 20791.42 184
MVP-Stereo77.12 20376.23 19679.79 25181.72 28966.34 12889.29 24190.88 19270.56 22362.01 29182.88 24849.34 24194.13 20665.55 23093.80 4578.88 343
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
IterMVS-SCA-FT71.55 26269.97 26176.32 29481.48 29060.67 26187.64 27085.99 30866.17 26559.50 30078.88 29945.53 27283.65 34462.58 25161.93 30184.63 289
COLMAP_ROBcopyleft57.96 2062.98 31359.65 31572.98 31681.44 29153.00 32783.75 29375.53 35148.34 35048.81 34381.40 27024.14 35190.30 29732.95 35860.52 31575.65 353
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
JIA-IIPM66.06 29962.45 30676.88 29181.42 29254.45 32257.49 36388.67 27149.36 34763.86 27646.86 36256.06 17790.25 29849.53 30068.83 24985.95 268
WR-MVS_H70.59 26669.94 26272.53 31981.03 29351.43 33487.35 27392.03 14067.38 25660.23 29780.70 28055.84 18183.45 34646.33 31658.58 32482.72 309
Fast-Effi-MVS+-dtu75.04 23373.37 23380.07 24380.86 29459.52 27791.20 19085.38 31271.90 18465.20 26384.84 22941.46 28992.97 23966.50 21872.96 22387.73 231
Baseline_NR-MVSNet73.99 24272.83 23777.48 28180.78 29559.29 28191.79 16084.55 32168.85 24368.99 22380.70 28056.16 17492.04 27662.67 25060.98 31181.11 324
CP-MVSNet70.50 26769.91 26372.26 32280.71 29651.00 33787.23 27490.30 21167.84 25059.64 29982.69 25050.23 23482.30 35451.28 29359.28 32083.46 299
v875.35 22973.26 23481.61 20980.67 29766.82 11589.54 23689.27 24771.65 19663.30 28280.30 28854.99 18994.06 21167.33 20962.33 29783.94 292
PS-MVSNAJss77.26 20176.31 19580.13 24280.64 29859.16 28290.63 21091.06 18672.80 15868.58 23284.57 23353.55 20593.96 21972.97 15571.96 23187.27 241
TransMVSNet (Re)70.07 27067.66 27477.31 28580.62 29959.13 28391.78 16284.94 31765.97 26660.08 29880.44 28550.78 22891.87 27848.84 30345.46 35180.94 326
v2v48277.42 19875.65 20482.73 17680.38 30067.13 10691.85 15890.23 21575.09 11569.37 21783.39 24553.79 20394.44 19771.77 17165.00 27686.63 252
MVS_030468.99 28067.23 27774.28 30880.36 30152.54 32887.01 27786.36 30159.89 31366.22 25773.56 33124.25 35088.03 32057.34 27670.11 24082.27 317
PS-CasMVS69.86 27369.13 26772.07 32580.35 30250.57 33987.02 27689.75 23167.27 25759.19 30382.28 25446.58 26482.24 35550.69 29559.02 32183.39 301
v1074.77 23672.54 24381.46 21180.33 30366.71 11989.15 24689.08 25870.94 21563.08 28379.86 29352.52 21494.04 21465.70 22762.17 29883.64 294
test0.0.03 172.76 25472.71 24072.88 31780.25 30447.99 34991.22 18889.45 24171.51 20562.51 28987.66 19953.83 20185.06 33750.16 29767.84 25985.58 275
v114476.73 20974.88 20982.27 18980.23 30566.60 12291.68 16790.21 21773.69 14069.06 22281.89 25952.73 21394.40 19869.21 19365.23 27385.80 271
v14876.19 21274.47 21781.36 21380.05 30664.44 17791.75 16590.23 21573.68 14167.13 25080.84 27955.92 18093.86 22568.95 19661.73 30585.76 274
v119275.98 21973.92 22782.15 19479.73 30766.24 13191.22 18889.75 23172.67 16068.49 23381.42 26949.86 23794.27 20267.08 21065.02 27585.95 268
AllTest61.66 31558.06 31972.46 32079.57 30851.42 33580.17 32268.61 36251.25 34145.88 34881.23 27219.86 36086.58 33238.98 34357.01 32779.39 339
TestCases72.46 32079.57 30851.42 33568.61 36251.25 34145.88 34881.23 27219.86 36086.58 33238.98 34357.01 32779.39 339
MDA-MVSNet-bldmvs61.54 31757.70 32173.05 31579.53 31057.00 30883.08 30281.23 33757.57 32134.91 36372.45 33432.79 32886.26 33435.81 35041.95 35575.89 352
v14419276.05 21774.03 22582.12 19779.50 31166.55 12491.39 17889.71 23772.30 17268.17 23581.33 27151.75 22094.03 21667.94 20264.19 28385.77 272
v192192075.63 22773.49 23282.06 20179.38 31266.35 12791.07 19689.48 24071.98 18167.99 23681.22 27449.16 24693.90 22266.56 21564.56 28285.92 270
PEN-MVS69.46 27568.56 26972.17 32479.27 31349.71 34386.90 27889.24 24867.24 26059.08 30482.51 25347.23 26183.54 34548.42 30557.12 32583.25 302
v124075.21 23272.98 23681.88 20379.20 31466.00 13590.75 20589.11 25771.63 20067.41 24781.22 27447.36 26093.87 22365.46 23164.72 28085.77 272
pmmvs473.92 24371.81 25080.25 24079.17 31565.24 15487.43 27287.26 29667.64 25563.46 28083.91 23948.96 24891.53 28962.94 24765.49 26983.96 291
D2MVS73.80 24472.02 24879.15 26579.15 31662.97 21588.58 25690.07 22072.94 15459.22 30278.30 30242.31 28792.70 25465.59 22972.00 23081.79 321
V4276.46 21174.55 21582.19 19379.14 31767.82 8590.26 21989.42 24373.75 13868.63 23181.89 25951.31 22494.09 20871.69 17364.84 27784.66 287
pm-mvs172.89 25271.09 25578.26 27379.10 31857.62 29990.80 20389.30 24667.66 25362.91 28581.78 26149.11 24792.95 24060.29 26458.89 32284.22 290
our_test_368.29 28564.69 29179.11 26678.92 31964.85 16988.40 26085.06 31560.32 30952.68 32876.12 32240.81 29189.80 30844.25 32555.65 33082.67 313
ppachtmachnet_test67.72 28963.70 29879.77 25278.92 31966.04 13488.68 25482.90 33560.11 31155.45 31975.96 32339.19 29590.55 29439.53 34152.55 33982.71 310
TinyColmap60.32 31956.42 32572.00 32678.78 32153.18 32678.36 33275.64 34952.30 33841.59 35975.82 32514.76 36588.35 31735.84 34954.71 33574.46 354
SixPastTwentyTwo64.92 30361.78 31074.34 30778.74 32249.76 34283.42 29879.51 34462.86 28850.27 33877.35 30930.92 33890.49 29645.89 31847.06 34882.78 306
EG-PatchMatch MVS68.55 28265.41 28777.96 27678.69 32362.93 21789.86 23189.17 25260.55 30650.27 33877.73 30822.60 35594.06 21147.18 31372.65 22676.88 350
pmmvs573.35 24771.52 25278.86 26778.64 32460.61 26391.08 19486.90 29767.69 25263.32 28183.64 24044.33 27990.53 29562.04 25466.02 26885.46 278
UniMVSNet_ETH3D72.74 25570.53 25879.36 26078.62 32556.64 30985.01 28689.20 25063.77 28164.84 26784.44 23434.05 32591.86 27963.94 24070.89 23989.57 210
XVG-OURS74.25 24072.46 24479.63 25578.45 32657.59 30080.33 31987.39 29363.86 28068.76 22989.62 17640.50 29291.72 28269.00 19574.25 21389.58 209
XVG-OURS-SEG-HR74.70 23773.08 23579.57 25778.25 32757.33 30580.49 31787.32 29463.22 28568.76 22990.12 17244.89 27791.59 28470.55 18274.09 21589.79 206
MDA-MVSNet_test_wron63.78 31060.16 31374.64 30378.15 32860.41 26483.49 29584.03 32456.17 33239.17 36171.59 34137.22 31283.24 34942.87 33048.73 34580.26 334
YYNet163.76 31160.14 31474.62 30478.06 32960.19 26983.46 29783.99 32856.18 33139.25 36071.56 34237.18 31383.34 34742.90 32948.70 34680.32 333
DTE-MVSNet68.46 28467.33 27671.87 32777.94 33049.00 34686.16 28388.58 27566.36 26458.19 30882.21 25646.36 26583.87 34344.97 32355.17 33282.73 308
USDC67.43 29464.51 29376.19 29577.94 33055.29 31778.38 33185.00 31673.17 14948.36 34480.37 28621.23 35792.48 26352.15 29264.02 28680.81 328
jajsoiax73.05 24971.51 25377.67 27877.46 33254.83 31988.81 25290.04 22469.13 24162.85 28683.51 24231.16 33692.75 25170.83 17769.80 24185.43 279
mvs_tets72.71 25671.11 25477.52 27977.41 33354.52 32188.45 25989.76 23068.76 24662.70 28783.26 24629.49 34092.71 25270.51 18369.62 24385.34 281
N_pmnet50.55 32849.11 33154.88 34677.17 3344.02 38284.36 2892.00 38148.59 34845.86 35068.82 34632.22 33182.80 35131.58 36351.38 34177.81 348
test_djsdf73.76 24672.56 24277.39 28377.00 33553.93 32389.07 24890.69 19565.80 26763.92 27582.03 25843.14 28492.67 25572.83 15768.53 25285.57 276
bset_n11_16_dypcd75.95 22174.16 22281.30 21576.91 33665.14 15988.89 25087.48 29274.30 12569.90 21583.40 24442.16 28892.42 26478.39 12266.03 26786.32 256
OpenMVS_ROBcopyleft61.12 1866.39 29762.92 30376.80 29276.51 33757.77 29689.22 24383.41 33155.48 33353.86 32577.84 30726.28 34993.95 22034.90 35368.76 25078.68 345
v7n71.31 26368.65 26879.28 26176.40 33860.77 25686.71 28089.45 24164.17 27858.77 30778.24 30344.59 27893.54 22957.76 27361.75 30483.52 297
K. test v363.09 31259.61 31673.53 31276.26 33949.38 34583.27 29977.15 34664.35 27647.77 34672.32 33728.73 34287.79 32349.93 29936.69 36183.41 300
RPSCF64.24 30761.98 30971.01 32976.10 34045.00 35675.83 33875.94 34846.94 35358.96 30584.59 23231.40 33582.00 35647.76 31160.33 31886.04 265
OurMVSNet-221017-064.68 30462.17 30872.21 32376.08 34147.35 35280.67 31681.02 33856.19 33051.60 33279.66 29627.05 34788.56 31553.60 28953.63 33780.71 329
Anonymous2023120667.53 29265.78 28272.79 31874.95 34247.59 35188.23 26187.32 29461.75 30258.07 31077.29 31137.79 30887.29 32942.91 32863.71 28883.48 298
EGC-MVSNET42.35 33138.09 33455.11 34574.57 34346.62 35471.63 34455.77 3710.04 3760.24 37762.70 35514.24 36674.91 36217.59 36846.06 35043.80 365
ITE_SJBPF70.43 33074.44 34447.06 35377.32 34560.16 31054.04 32483.53 24123.30 35484.01 34143.07 32761.58 30880.21 336
EU-MVSNet64.01 30863.01 30267.02 33974.40 34538.86 36883.27 29986.19 30645.11 35654.27 32281.15 27736.91 31780.01 35948.79 30457.02 32682.19 319
XVG-ACMP-BASELINE68.04 28765.53 28675.56 29874.06 34652.37 32978.43 33085.88 30962.03 29758.91 30681.21 27620.38 35991.15 29260.69 26168.18 25483.16 304
CL-MVSNet_self_test69.92 27168.09 27375.41 29973.25 34755.90 31490.05 22589.90 22769.96 22961.96 29276.54 31751.05 22787.64 32449.51 30150.59 34382.70 311
anonymousdsp71.14 26469.37 26676.45 29372.95 34854.71 32084.19 29088.88 26461.92 29962.15 29079.77 29438.14 30391.44 29168.90 19767.45 26183.21 303
lessismore_v073.72 31172.93 34947.83 35061.72 37045.86 35073.76 33028.63 34489.81 30647.75 31231.37 36683.53 296
pmmvs667.57 29164.76 29076.00 29772.82 35053.37 32588.71 25386.78 30053.19 33757.58 31578.03 30635.33 32292.41 26555.56 28154.88 33482.21 318
testgi64.48 30662.87 30469.31 33271.24 35140.62 36385.49 28479.92 34265.36 27154.18 32383.49 24323.74 35384.55 33841.60 33460.79 31382.77 307
Patchmatch-RL test68.17 28664.49 29479.19 26271.22 35253.93 32370.07 34771.54 35969.22 23856.79 31762.89 35456.58 17188.61 31369.53 18952.61 33895.03 80
Gipumacopyleft34.91 33631.44 33945.30 35170.99 35339.64 36719.85 37172.56 35620.10 36916.16 37121.47 3725.08 37671.16 36413.07 37043.70 35425.08 369
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
UnsupCasMVSNet_eth65.79 30163.10 30173.88 30970.71 35450.29 34181.09 31489.88 22872.58 16249.25 34274.77 32932.57 33087.43 32855.96 28041.04 35783.90 293
CMPMVSbinary48.56 2166.77 29664.41 29573.84 31070.65 35550.31 34077.79 33585.73 31145.54 35544.76 35382.14 25735.40 32190.14 30463.18 24674.54 21281.07 325
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
test20.0363.83 30962.65 30567.38 33870.58 35639.94 36486.57 28184.17 32363.29 28451.86 33177.30 31037.09 31582.47 35238.87 34554.13 33679.73 337
MIMVSNet160.16 32157.33 32268.67 33369.71 35744.13 35878.92 32884.21 32255.05 33444.63 35471.85 33923.91 35281.54 35832.63 36055.03 33380.35 332
pmmvs-eth3d65.53 30262.32 30775.19 30069.39 35859.59 27582.80 30483.43 33062.52 29351.30 33572.49 33332.86 32787.16 33055.32 28250.73 34278.83 344
UnsupCasMVSNet_bld61.60 31657.71 32073.29 31468.73 35951.64 33278.61 32989.05 26057.20 32546.11 34761.96 35628.70 34388.60 31450.08 29838.90 35979.63 338
Anonymous2024052162.09 31459.08 31771.10 32867.19 36048.72 34783.91 29285.23 31450.38 34447.84 34571.22 34320.74 35885.51 33546.47 31558.75 32379.06 342
KD-MVS_self_test60.87 31858.60 31867.68 33666.13 36139.93 36575.63 33984.70 31957.32 32449.57 34168.45 34729.55 33982.87 35048.09 30647.94 34780.25 335
new-patchmatchnet59.30 32356.48 32467.79 33565.86 36244.19 35782.47 30581.77 33659.94 31243.65 35766.20 35027.67 34581.68 35739.34 34241.40 35677.50 349
PM-MVS59.40 32256.59 32367.84 33463.63 36341.86 36076.76 33663.22 36859.01 31751.07 33672.27 33811.72 36883.25 34861.34 25750.28 34478.39 347
DSMNet-mixed56.78 32454.44 32763.79 34163.21 36429.44 37264.43 35764.10 36742.12 36051.32 33471.60 34031.76 33375.04 36136.23 34865.20 27486.87 246
new_pmnet49.31 32946.44 33257.93 34362.84 36540.74 36268.47 35162.96 36936.48 36235.09 36257.81 35814.97 36472.18 36332.86 35946.44 34960.88 363
LF4IMVS54.01 32752.12 32859.69 34262.41 36639.91 36668.59 35068.28 36442.96 35944.55 35575.18 32614.09 36768.39 36541.36 33651.68 34070.78 358
ambc69.61 33161.38 36741.35 36149.07 36685.86 31050.18 34066.40 34910.16 36988.14 31945.73 31944.20 35279.32 341
TDRefinement55.28 32651.58 32966.39 34059.53 36846.15 35576.23 33772.80 35544.60 35742.49 35876.28 32115.29 36382.39 35333.20 35743.75 35370.62 359
pmmvs355.51 32551.50 33067.53 33757.90 36950.93 33880.37 31873.66 35440.63 36144.15 35664.75 35316.30 36278.97 36044.77 32440.98 35872.69 355
test_method38.59 33435.16 33748.89 35054.33 37021.35 37745.32 36753.71 3727.41 37328.74 36451.62 3608.70 37252.87 37133.73 35432.89 36572.47 356
DeepMVS_CXcopyleft34.71 35451.45 37124.73 37628.48 38031.46 36417.49 37052.75 3595.80 37542.60 37518.18 36719.42 36836.81 367
FPMVS45.64 33043.10 33353.23 34851.42 37236.46 36964.97 35671.91 35729.13 36527.53 36561.55 3579.83 37065.01 36916.00 36955.58 33158.22 364
wuyk23d11.30 34310.95 34612.33 35848.05 37319.89 37825.89 3701.92 3823.58 3743.12 3761.37 3760.64 38115.77 3776.23 3757.77 3751.35 373
PMMVS237.93 33533.61 33850.92 34946.31 37424.76 37560.55 36150.05 37328.94 36620.93 36747.59 3614.41 37865.13 36825.14 36418.55 36962.87 362
E-PMN24.61 33824.00 34226.45 35543.74 37518.44 37960.86 35939.66 37515.11 3709.53 37422.10 3716.52 37446.94 3738.31 37310.14 37113.98 371
EMVS23.76 34023.20 34425.46 35641.52 37616.90 38060.56 36038.79 37814.62 3718.99 37520.24 3747.35 37345.82 3747.25 3749.46 37213.64 372
LCM-MVSNet40.54 33235.79 33554.76 34736.92 37730.81 37151.41 36469.02 36122.07 36724.63 36645.37 3644.56 37765.81 36733.67 35534.50 36467.67 360
ANet_high40.27 33335.20 33655.47 34434.74 37834.47 37063.84 35871.56 35848.42 34918.80 36941.08 3679.52 37164.45 37020.18 3668.66 37467.49 361
MVEpermissive24.84 2324.35 33919.77 34538.09 35334.56 37926.92 37426.57 36938.87 37711.73 37211.37 37327.44 3691.37 38050.42 37211.41 37114.60 37036.93 366
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
PMVScopyleft26.43 2231.84 33728.16 34042.89 35225.87 38027.58 37350.92 36549.78 37421.37 36814.17 37240.81 3682.01 37966.62 3669.61 37238.88 36034.49 368
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
tmp_tt22.26 34123.75 34317.80 3575.23 38112.06 38135.26 36839.48 3762.82 37518.94 36844.20 36522.23 35624.64 37636.30 3479.31 37316.69 370
testmvs7.23 3459.62 3480.06 3600.04 3820.02 38484.98 2870.02 3830.03 3770.18 3781.21 3770.01 3830.02 3780.14 3760.01 3760.13 375
test1236.92 3469.21 3490.08 3590.03 3830.05 38381.65 3100.01 3840.02 3780.14 3790.85 3780.03 3820.02 3780.12 3770.00 3770.16 374
test_blank0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3770.00 376
eth-test20.00 384
eth-test0.00 384
uanet_test0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3770.00 376
DCPMVS0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3770.00 376
cdsmvs_eth3d_5k19.86 34226.47 3410.00 3610.00 3840.00 3850.00 37293.45 840.00 3790.00 38095.27 5149.56 2390.00 3800.00 3780.00 3770.00 376
pcd_1.5k_mvsjas4.46 3475.95 3500.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 37953.55 2050.00 3800.00 3780.00 3770.00 376
sosnet-low-res0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3770.00 376
sosnet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3770.00 376
uncertanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3770.00 376
Regformer0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3770.00 376
ab-mvs-re7.91 34410.55 3470.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 38094.95 630.00 3840.00 3800.00 3780.00 3770.00 376
uanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3770.00 376
PC_three_145280.91 3694.07 296.83 1483.57 499.12 595.70 297.42 497.55 4
test_241102_TWO94.41 4671.65 19692.07 697.21 574.58 1799.11 692.34 895.36 1496.59 15
test_0728_THIRD72.48 16590.55 1696.93 1076.24 1199.08 1191.53 1694.99 1796.43 26
GSMVS94.68 90
sam_mvs157.85 15194.68 90
sam_mvs54.91 190
MTGPAbinary92.23 130
test_post178.95 32720.70 37353.05 21091.50 29060.43 262
test_post23.01 37056.49 17292.67 255
patchmatchnet-post67.62 34857.62 15490.25 298
MTMP93.77 8332.52 379
test9_res89.41 2694.96 1895.29 63
agg_prior286.41 5694.75 3095.33 59
test_prior467.18 10593.92 74
test_prior295.10 3775.40 10985.25 5395.61 4067.94 4587.47 4694.77 25
旧先验292.00 15259.37 31687.54 2993.47 23275.39 139
新几何291.41 174
无先验92.71 12092.61 12162.03 29797.01 9366.63 21393.97 122
原ACMM292.01 149
testdata296.09 12961.26 258
segment_acmp65.94 65
testdata189.21 24477.55 84
plane_prior591.31 17295.55 15776.74 13178.53 18788.39 224
plane_prior489.14 180
plane_prior361.95 23679.09 5972.53 179
plane_prior293.13 10378.81 64
plane_prior62.42 22693.85 7879.38 5178.80 184
n20.00 385
nn0.00 385
door-mid66.01 366
test1193.01 104
door66.57 365
HQP5-MVS63.66 202
BP-MVS77.63 128
HQP4-MVS74.18 16095.61 15188.63 218
HQP3-MVS91.70 15678.90 182
HQP2-MVS51.63 222
MDTV_nov1_ep13_2view59.90 27280.13 32367.65 25472.79 17454.33 19859.83 26692.58 162
ACMMP++_ref71.63 232
ACMMP++69.72 242
Test By Simon54.21 199