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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysorted bysort bysort bysort bysort bysort bysort bysort bysort by
9.1488.26 1592.84 6891.52 4794.75 173.93 13388.57 2494.67 1975.57 2495.79 5986.77 2395.76 28
SF-MVS88.46 1188.74 1187.64 3892.78 6971.95 5392.40 2394.74 275.71 9089.16 1995.10 1375.65 2296.19 4587.07 2196.01 1794.79 18
ETH3D-3000-0.188.09 1388.29 1487.50 4192.76 7071.89 5691.43 4894.70 374.47 12088.86 2294.61 2175.23 2595.84 5886.62 2695.92 2194.78 20
ETH3D cwj APD-0.1687.31 3287.27 2887.44 4391.60 8872.45 4190.02 8094.37 471.76 16687.28 3494.27 3675.18 2696.08 4985.16 3095.77 2693.80 65
DVP-MVS++90.23 191.01 187.89 2494.34 2971.25 6395.06 194.23 578.38 3592.78 495.74 682.45 397.49 389.42 496.68 294.95 7
test_0728_SECOND87.71 3495.34 171.43 6293.49 994.23 597.49 389.08 796.41 1294.21 42
test_one_060195.07 771.46 6194.14 778.27 3792.05 1195.74 680.83 11
test072695.27 571.25 6393.60 694.11 877.33 5092.81 395.79 380.98 9
MSP-MVS89.51 489.91 588.30 994.28 3273.46 1892.90 1694.11 880.27 1291.35 1494.16 4178.35 1396.77 2389.59 394.22 6594.67 24
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
DPE-MVScopyleft89.48 589.98 488.01 1494.80 1172.69 3291.59 4494.10 1075.90 8892.29 795.66 1081.67 697.38 987.44 2096.34 1593.95 54
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
PHI-MVS86.43 4686.17 5287.24 4690.88 9970.96 7292.27 3294.07 1172.45 15785.22 5391.90 9069.47 7896.42 3883.28 6095.94 2094.35 36
SED-MVS90.08 290.85 287.77 2695.30 270.98 7093.57 794.06 1277.24 5293.10 195.72 882.99 197.44 589.07 996.63 494.88 11
test_241102_TWO94.06 1277.24 5292.78 495.72 881.26 897.44 589.07 996.58 694.26 41
test_241102_ONE95.30 270.98 7094.06 1277.17 5693.10 195.39 1182.99 197.27 10
ETH3 D test640087.50 2587.44 2687.70 3593.71 4671.75 5790.62 6494.05 1570.80 18587.59 3393.51 5677.57 1496.63 3183.31 5795.77 2694.72 23
APDe-MVS89.15 689.63 687.73 3094.49 2071.69 5893.83 493.96 1675.70 9291.06 1696.03 176.84 1597.03 1589.09 695.65 3294.47 31
DeepC-MVS79.81 287.08 3786.88 3987.69 3691.16 9272.32 4790.31 7493.94 1777.12 5882.82 9794.23 3972.13 5497.09 1484.83 3695.37 3593.65 73
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
FOURS195.00 1072.39 4295.06 193.84 1874.49 11991.30 15
MCST-MVS87.37 3087.25 3087.73 3094.53 1972.46 4089.82 8593.82 1973.07 15284.86 6392.89 7276.22 1896.33 3984.89 3595.13 4194.40 34
ZNCC-MVS87.94 1887.85 2088.20 1194.39 2673.33 2093.03 1493.81 2076.81 6685.24 5294.32 3571.76 5696.93 1885.53 2995.79 2594.32 38
CS-MVS-test86.29 5086.48 4485.71 7791.02 9567.21 15592.36 2893.78 2178.97 3083.51 8991.20 10970.65 6895.15 8881.96 7794.89 4694.77 21
3Dnovator+77.84 485.48 6284.47 7688.51 691.08 9373.49 1793.18 1193.78 2180.79 1076.66 19193.37 6060.40 19096.75 2577.20 11793.73 6995.29 3
SteuartSystems-ACMMP88.72 1088.86 1088.32 892.14 8072.96 2693.73 593.67 2380.19 1488.10 2794.80 1673.76 4197.11 1387.51 1895.82 2494.90 10
Skip Steuart: Steuart Systems R&D Blog.
SMA-MVScopyleft89.08 789.23 788.61 594.25 3373.73 1092.40 2393.63 2474.77 11292.29 795.97 274.28 3697.24 1188.58 1396.91 194.87 13
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
DROMVSNet86.01 5386.38 4584.91 9789.31 14466.27 17092.32 3093.63 2479.37 2284.17 7891.88 9169.04 8595.43 7483.93 5393.77 6893.01 100
ACMMP_NAP88.05 1688.08 1787.94 1793.70 4773.05 2390.86 5993.59 2676.27 8288.14 2695.09 1571.06 6296.67 2887.67 1696.37 1494.09 46
CSCG86.41 4886.19 5187.07 5092.91 6572.48 3890.81 6093.56 2773.95 13183.16 9291.07 11475.94 1995.19 8679.94 9594.38 6193.55 79
MP-MVS-pluss87.67 2287.72 2287.54 3993.64 5072.04 5289.80 8793.50 2875.17 10386.34 4195.29 1270.86 6396.00 5388.78 1296.04 1694.58 27
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
testtj87.78 2087.78 2187.77 2694.55 1872.47 3992.23 3393.49 2974.75 11388.33 2594.43 3273.27 4497.02 1684.18 5094.84 4993.82 62
FIs82.07 10582.42 9281.04 22088.80 16458.34 28688.26 13893.49 2976.93 6378.47 15191.04 11569.92 7492.34 20869.87 18384.97 16992.44 119
DELS-MVS85.41 6585.30 6585.77 7688.49 17567.93 13885.52 22193.44 3178.70 3183.63 8889.03 16574.57 2995.71 6280.26 9394.04 6693.66 68
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
GST-MVS87.42 2887.26 2987.89 2494.12 3972.97 2592.39 2593.43 3276.89 6484.68 6493.99 5070.67 6796.82 2184.18 5095.01 4293.90 57
FC-MVSNet-test81.52 11882.02 10280.03 24088.42 17955.97 32287.95 14893.42 3377.10 5977.38 17490.98 12069.96 7391.79 22668.46 19884.50 17492.33 120
DeepPCF-MVS80.84 188.10 1288.56 1286.73 5692.24 7869.03 10989.57 9393.39 3477.53 4789.79 1894.12 4378.98 1296.58 3685.66 2795.72 2994.58 27
HPM-MVScopyleft87.11 3586.98 3587.50 4193.88 4372.16 4992.19 3493.33 3576.07 8583.81 8493.95 5169.77 7696.01 5285.15 3194.66 5394.32 38
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
CS-MVS86.69 4186.95 3685.90 7590.76 10267.57 14692.83 1793.30 3679.67 1984.57 7092.27 8371.47 5995.02 9684.24 4893.46 7095.13 4
HFP-MVS87.58 2387.47 2587.94 1794.58 1673.54 1593.04 1293.24 3776.78 6884.91 5894.44 3070.78 6496.61 3284.53 4194.89 4693.66 68
#test#87.33 3187.13 3387.94 1794.58 1673.54 1592.34 2993.24 3775.23 10084.91 5894.44 3070.78 6496.61 3283.75 5594.89 4693.66 68
ACMMPR87.44 2687.23 3188.08 1394.64 1373.59 1293.04 1293.20 3976.78 6884.66 6794.52 2368.81 8696.65 2984.53 4194.90 4594.00 52
SD-MVS88.06 1488.50 1386.71 5792.60 7672.71 3091.81 4293.19 4077.87 3890.32 1794.00 4874.83 2893.78 14987.63 1794.27 6493.65 73
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
ACMMPcopyleft85.89 5685.39 6287.38 4493.59 5172.63 3492.74 2093.18 4176.78 6880.73 12293.82 5364.33 12596.29 4082.67 7290.69 10293.23 89
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
region2R87.42 2887.20 3288.09 1294.63 1473.55 1393.03 1493.12 4276.73 7184.45 7194.52 2369.09 8296.70 2684.37 4494.83 5194.03 49
DPM-MVS84.93 7284.29 7786.84 5390.20 11273.04 2487.12 17193.04 4369.80 20482.85 9691.22 10873.06 4696.02 5176.72 12594.63 5491.46 150
PGM-MVS86.68 4286.27 4887.90 2194.22 3573.38 1990.22 7793.04 4375.53 9483.86 8294.42 3367.87 9296.64 3082.70 7194.57 5693.66 68
DeepC-MVS_fast79.65 386.91 3886.62 4287.76 2993.52 5272.37 4491.26 5093.04 4376.62 7384.22 7693.36 6171.44 6096.76 2480.82 8695.33 3894.16 43
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
UniMVSNet (Re)81.60 11781.11 11383.09 16488.38 18064.41 21087.60 15893.02 4678.42 3478.56 14888.16 19069.78 7593.26 17269.58 18676.49 26791.60 142
canonicalmvs85.91 5585.87 5786.04 7289.84 12469.44 10790.45 7293.00 4776.70 7288.01 2991.23 10773.28 4393.91 14481.50 8088.80 12494.77 21
CNVR-MVS88.93 989.13 988.33 794.77 1273.82 990.51 6693.00 4780.90 988.06 2894.06 4676.43 1796.84 2088.48 1495.99 1994.34 37
MSC_two_6792asdad89.16 194.34 2975.53 292.99 4997.53 189.67 196.44 994.41 32
No_MVS89.16 194.34 2975.53 292.99 4997.53 189.67 196.44 994.41 32
XVS87.18 3486.91 3888.00 1594.42 2273.33 2092.78 1892.99 4979.14 2383.67 8694.17 4067.45 9596.60 3483.06 6294.50 5794.07 47
X-MVStestdata80.37 14777.83 18488.00 1594.42 2273.33 2092.78 1892.99 4979.14 2383.67 8612.47 37467.45 9596.60 3483.06 6294.50 5794.07 47
APD-MVS_3200maxsize85.97 5485.88 5686.22 6792.69 7269.53 10291.93 3892.99 4973.54 14385.94 4294.51 2665.80 11495.61 6383.04 6492.51 8093.53 81
test_prior386.73 3986.86 4086.33 6392.61 7469.59 10088.85 11292.97 5475.41 9684.91 5893.54 5474.28 3695.48 7083.31 5795.86 2293.91 55
test_prior86.33 6392.61 7469.59 10092.97 5495.48 7093.91 55
IU-MVS95.30 271.25 6392.95 5666.81 24692.39 688.94 1196.63 494.85 16
test_part182.78 9682.08 10084.89 9890.66 10366.97 16090.96 5892.93 5777.19 5580.53 12490.04 13663.44 13295.39 7876.04 12976.90 26092.31 122
baseline84.93 7284.98 6984.80 10287.30 21665.39 19187.30 16792.88 5877.62 4184.04 8192.26 8471.81 5593.96 13781.31 8190.30 10795.03 6
MSLP-MVS++85.43 6485.76 5884.45 11291.93 8370.24 8690.71 6292.86 5977.46 4984.22 7692.81 7667.16 9992.94 18980.36 9194.35 6290.16 191
HPM-MVS++copyleft89.02 889.15 888.63 495.01 976.03 192.38 2692.85 6080.26 1387.78 3094.27 3675.89 2096.81 2287.45 1996.44 993.05 97
casdiffmvs85.11 7085.14 6785.01 9187.20 21865.77 18287.75 15592.83 6177.84 3984.36 7592.38 8272.15 5393.93 14381.27 8290.48 10595.33 2
APD-MVScopyleft87.44 2687.52 2487.19 4794.24 3472.39 4291.86 4192.83 6173.01 15488.58 2394.52 2373.36 4296.49 3784.26 4695.01 4292.70 108
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
NCCC88.06 1488.01 1888.24 1094.41 2473.62 1191.22 5492.83 6181.50 685.79 4693.47 5973.02 4797.00 1784.90 3394.94 4494.10 45
CP-MVS87.11 3586.92 3787.68 3794.20 3673.86 893.98 392.82 6476.62 7383.68 8594.46 2767.93 9095.95 5684.20 4994.39 6093.23 89
DVP-MVScopyleft89.60 390.35 387.33 4595.27 571.25 6393.49 992.73 6577.33 5092.12 995.78 480.98 997.40 789.08 796.41 1293.33 86
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
EIA-MVS83.31 8882.80 9084.82 10089.59 12765.59 18488.21 13992.68 6674.66 11578.96 13986.42 24169.06 8395.26 8475.54 13590.09 11193.62 76
ZD-MVS94.38 2772.22 4892.67 6770.98 18387.75 3194.07 4574.01 4096.70 2684.66 3994.84 49
nrg03083.88 7683.53 7984.96 9386.77 22669.28 10890.46 7192.67 6774.79 11182.95 9391.33 10672.70 4893.09 18380.79 8879.28 24192.50 115
WR-MVS_H78.51 19078.49 16778.56 26488.02 19056.38 31788.43 12692.67 6777.14 5773.89 24487.55 20466.25 10789.24 27558.92 27573.55 30790.06 201
MP-MVScopyleft87.71 2187.64 2387.93 2094.36 2873.88 792.71 2292.65 7077.57 4383.84 8394.40 3472.24 5296.28 4185.65 2895.30 4093.62 76
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
ETV-MVS84.90 7484.67 7485.59 7989.39 13668.66 12588.74 11992.64 7179.97 1784.10 7985.71 25369.32 8095.38 7980.82 8691.37 9592.72 107
CANet86.45 4586.10 5487.51 4090.09 11470.94 7489.70 9192.59 7281.78 481.32 11391.43 10470.34 6997.23 1284.26 4693.36 7194.37 35
SR-MVS86.73 3986.67 4186.91 5294.11 4072.11 5192.37 2792.56 7374.50 11886.84 3794.65 2067.31 9795.77 6084.80 3792.85 7592.84 106
alignmvs85.48 6285.32 6485.96 7489.51 13169.47 10489.74 8992.47 7476.17 8387.73 3291.46 10370.32 7093.78 14981.51 7988.95 12194.63 26
原ACMM184.35 11693.01 6468.79 11592.44 7563.96 28681.09 11891.57 9966.06 11095.45 7267.19 21094.82 5288.81 245
HQP_MVS83.64 8183.14 8385.14 8790.08 11568.71 12191.25 5292.44 7579.12 2578.92 14191.00 11860.42 18895.38 7978.71 10286.32 15791.33 151
plane_prior592.44 7595.38 7978.71 10286.32 15791.33 151
CDPH-MVS85.76 5885.29 6687.17 4893.49 5371.08 6888.58 12492.42 7868.32 23784.61 6893.48 5772.32 5196.15 4879.00 9995.43 3494.28 40
UniMVSNet_NR-MVSNet81.88 10881.54 10882.92 17388.46 17763.46 22987.13 17092.37 7980.19 1478.38 15289.14 16171.66 5893.05 18570.05 17976.46 26892.25 125
TSAR-MVS + MP.88.02 1788.11 1687.72 3293.68 4972.13 5091.41 4992.35 8074.62 11788.90 2193.85 5275.75 2196.00 5387.80 1594.63 5495.04 5
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
CLD-MVS82.31 10181.65 10784.29 11988.47 17667.73 14285.81 21292.35 8075.78 8978.33 15486.58 23664.01 12894.35 12076.05 12887.48 14190.79 169
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
test117286.20 5286.22 4986.12 7093.95 4269.89 9591.79 4392.28 8275.07 10486.40 4094.58 2265.00 12295.56 6584.34 4592.60 7892.90 104
SR-MVS-dyc-post85.77 5785.61 5986.23 6693.06 6270.63 8291.88 3992.27 8373.53 14485.69 4794.45 2865.00 12295.56 6582.75 6791.87 8892.50 115
RE-MVS-def85.48 6093.06 6270.63 8291.88 3992.27 8373.53 14485.69 4794.45 2863.87 12982.75 6791.87 8892.50 115
RPMNet73.51 26170.49 27782.58 18781.32 31865.19 19475.92 32792.27 8357.60 33672.73 25576.45 34652.30 24495.43 7448.14 33677.71 25187.11 283
test1192.23 86
mPP-MVS86.67 4386.32 4787.72 3294.41 2473.55 1392.74 2092.22 8776.87 6582.81 9894.25 3866.44 10496.24 4282.88 6694.28 6393.38 83
DP-MVS Recon83.11 9282.09 9986.15 6894.44 2170.92 7688.79 11592.20 8870.53 19279.17 13791.03 11764.12 12796.03 5068.39 19990.14 11091.50 147
HQP3-MVS92.19 8985.99 163
HQP-MVS82.61 9982.02 10284.37 11489.33 13966.98 15889.17 9992.19 8976.41 7577.23 17990.23 13160.17 19195.11 9077.47 11485.99 16391.03 162
3Dnovator76.31 583.38 8782.31 9686.59 6087.94 19272.94 2990.64 6392.14 9177.21 5475.47 21592.83 7458.56 19794.72 11173.24 15592.71 7792.13 130
abl_685.23 6784.95 7186.07 7192.23 7970.48 8590.80 6192.08 9273.51 14685.26 5194.16 4162.75 14695.92 5782.46 7491.30 9791.81 139
Regformer-286.63 4486.53 4386.95 5189.33 13971.24 6788.43 12692.05 9382.50 186.88 3690.09 13474.45 3195.61 6384.38 4390.63 10394.01 51
zzz-MVS87.53 2487.41 2787.90 2194.18 3774.25 590.23 7692.02 9479.45 2085.88 4394.80 1668.07 8896.21 4386.69 2495.34 3693.23 89
MTGPAbinary92.02 94
MTAPA87.23 3387.00 3487.90 2194.18 3774.25 586.58 18992.02 9479.45 2085.88 4394.80 1668.07 8896.21 4386.69 2495.34 3693.23 89
MVS_Test83.15 8983.06 8583.41 15186.86 22263.21 23586.11 20292.00 9774.31 12382.87 9589.44 15770.03 7293.21 17377.39 11688.50 13093.81 63
PVSNet_BlendedMVS80.60 14180.02 13182.36 19188.85 15965.40 18986.16 20192.00 9769.34 21378.11 16186.09 24866.02 11194.27 12371.52 16582.06 20887.39 272
PVSNet_Blended80.98 12680.34 12782.90 17488.85 15965.40 18984.43 24492.00 9767.62 24178.11 16185.05 27066.02 11194.27 12371.52 16589.50 11789.01 235
QAPM80.88 12779.50 14385.03 9088.01 19168.97 11391.59 4492.00 9766.63 25375.15 22992.16 8557.70 20395.45 7263.52 23488.76 12590.66 174
LPG-MVS_test82.08 10481.27 11084.50 10989.23 14868.76 11790.22 7791.94 10175.37 9876.64 19291.51 10054.29 22994.91 10078.44 10483.78 18389.83 212
LGP-MVS_train84.50 10989.23 14868.76 11791.94 10175.37 9876.64 19291.51 10054.29 22994.91 10078.44 10483.78 18389.83 212
TEST993.26 5672.96 2688.75 11791.89 10368.44 23685.00 5693.10 6574.36 3595.41 76
train_agg86.43 4686.20 5087.13 4993.26 5672.96 2688.75 11791.89 10368.69 23285.00 5693.10 6574.43 3295.41 7684.97 3295.71 3093.02 99
dcpmvs_285.63 6186.15 5384.06 12791.71 8664.94 19986.47 19291.87 10573.63 13986.60 3993.02 7076.57 1691.87 22583.36 5692.15 8495.35 1
DU-MVS81.12 12580.52 12482.90 17487.80 19763.46 22987.02 17491.87 10579.01 2878.38 15289.07 16365.02 12093.05 18570.05 17976.46 26892.20 127
test_893.13 5872.57 3688.68 12191.84 10768.69 23284.87 6293.10 6574.43 3295.16 87
PAPM_NR83.02 9382.41 9384.82 10092.47 7766.37 16887.93 15091.80 10873.82 13577.32 17690.66 12367.90 9194.90 10370.37 17689.48 11893.19 93
test1286.80 5592.63 7370.70 8191.79 10982.71 9971.67 5796.16 4794.50 5793.54 80
agg_prior186.22 5186.09 5586.62 5992.85 6671.94 5488.59 12391.78 11068.96 22784.41 7293.18 6474.94 2794.93 9884.75 3895.33 3893.01 100
agg_prior92.85 6671.94 5491.78 11084.41 7294.93 98
PAPR81.66 11680.89 11883.99 13590.27 11064.00 21686.76 18591.77 11268.84 23077.13 18489.50 15067.63 9394.88 10567.55 20488.52 12993.09 95
PVSNet_Blended_VisFu82.62 9881.83 10684.96 9390.80 10169.76 9788.74 11991.70 11369.39 21178.96 13988.46 18165.47 11694.87 10674.42 14088.57 12790.24 189
HPM-MVS_fast85.35 6684.95 7186.57 6193.69 4870.58 8492.15 3691.62 11473.89 13482.67 10094.09 4462.60 14795.54 6880.93 8492.93 7393.57 78
ACMM73.20 880.78 13779.84 13583.58 14589.31 14468.37 12989.99 8191.60 11570.28 19677.25 17789.66 14553.37 23793.53 16274.24 14382.85 19988.85 243
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
VPA-MVSNet80.60 14180.55 12380.76 22688.07 18860.80 26686.86 17991.58 11675.67 9380.24 12789.45 15663.34 13490.25 26070.51 17579.22 24291.23 155
OPM-MVS83.50 8382.95 8785.14 8788.79 16570.95 7389.13 10491.52 11777.55 4680.96 12091.75 9360.71 18294.50 11879.67 9686.51 15589.97 207
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
Anonymous2023121178.97 18177.69 19182.81 17890.54 10664.29 21290.11 7991.51 11865.01 27176.16 20788.13 19550.56 26893.03 18869.68 18577.56 25491.11 158
PS-MVSNAJss82.07 10581.31 10984.34 11786.51 22967.27 15389.27 9791.51 11871.75 16779.37 13590.22 13263.15 14094.27 12377.69 11282.36 20691.49 148
TAPA-MVS73.13 979.15 17577.94 18082.79 18189.59 12762.99 24288.16 14291.51 11865.77 26277.14 18391.09 11360.91 18093.21 17350.26 32487.05 14692.17 129
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
ACMP74.13 681.51 12080.57 12284.36 11589.42 13468.69 12489.97 8291.50 12174.46 12175.04 23390.41 12853.82 23494.54 11577.56 11382.91 19889.86 211
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
PCF-MVS73.52 780.38 14678.84 16185.01 9187.71 20168.99 11283.65 25891.46 12263.00 29277.77 16890.28 12966.10 10895.09 9461.40 25588.22 13390.94 166
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
Regformer-186.41 4886.33 4686.64 5889.33 13970.93 7588.43 12691.39 12382.14 386.65 3890.09 13474.39 3495.01 9783.97 5290.63 10393.97 53
TranMVSNet+NR-MVSNet80.84 12980.31 12882.42 18987.85 19462.33 24787.74 15691.33 12480.55 1177.99 16489.86 14065.23 11892.62 19567.05 21275.24 29292.30 123
Regformer-485.68 6085.45 6186.35 6288.95 15769.67 9988.29 13691.29 12581.73 585.36 5090.01 13872.62 4995.35 8383.28 6087.57 13694.03 49
PS-CasMVS78.01 20478.09 17777.77 27687.71 20154.39 33288.02 14591.22 12677.50 4873.26 24988.64 17560.73 18188.41 29061.88 25073.88 30490.53 180
v7n78.97 18177.58 19483.14 16283.45 27465.51 18588.32 13491.21 12773.69 13872.41 25986.32 24457.93 20093.81 14869.18 18975.65 27990.11 195
PEN-MVS77.73 20977.69 19177.84 27487.07 22153.91 33587.91 15191.18 12877.56 4573.14 25188.82 17161.23 17489.17 27659.95 26572.37 31590.43 183
save fliter93.80 4472.35 4590.47 6991.17 12974.31 123
CP-MVSNet78.22 19578.34 17277.84 27487.83 19654.54 33087.94 14991.17 12977.65 4073.48 24788.49 18062.24 15688.43 28962.19 24674.07 30090.55 179
114514_t80.68 13879.51 14284.20 12194.09 4167.27 15389.64 9291.11 13158.75 32974.08 24390.72 12258.10 19995.04 9569.70 18489.42 11990.30 187
NR-MVSNet80.23 15079.38 14682.78 18287.80 19763.34 23286.31 19691.09 13279.01 2872.17 26289.07 16367.20 9892.81 19466.08 21975.65 27992.20 127
OpenMVScopyleft72.83 1079.77 15878.33 17384.09 12585.17 24469.91 9390.57 6590.97 13366.70 24972.17 26291.91 8954.70 22593.96 13761.81 25290.95 10088.41 255
MAR-MVS81.84 10980.70 12085.27 8491.32 9171.53 6089.82 8590.92 13469.77 20578.50 14986.21 24562.36 15394.52 11765.36 22492.05 8689.77 215
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
Anonymous2024052980.19 15278.89 16084.10 12490.60 10464.75 20288.95 10890.90 13565.97 26180.59 12391.17 11149.97 27493.73 15569.16 19082.70 20393.81 63
OMC-MVS82.69 9781.97 10484.85 9988.75 16767.42 14987.98 14690.87 13674.92 10879.72 13291.65 9562.19 15793.96 13775.26 13786.42 15693.16 94
UA-Net85.08 7184.96 7085.45 8092.07 8168.07 13689.78 8890.86 13782.48 284.60 6993.20 6369.35 7995.22 8571.39 16890.88 10193.07 96
EPP-MVSNet83.40 8683.02 8684.57 10690.13 11364.47 20892.32 3090.73 13874.45 12279.35 13691.10 11269.05 8495.12 8972.78 15987.22 14494.13 44
DTE-MVSNet76.99 22376.80 20877.54 28186.24 23153.06 34387.52 16090.66 13977.08 6072.50 25788.67 17460.48 18789.52 27057.33 29170.74 32690.05 202
v1079.74 15978.67 16382.97 17284.06 26364.95 19887.88 15390.62 14073.11 15175.11 23086.56 23761.46 16894.05 13673.68 14675.55 28189.90 209
v119279.59 16278.43 17083.07 16683.55 27264.52 20486.93 17790.58 14170.83 18477.78 16785.90 24959.15 19493.94 14073.96 14577.19 25790.76 170
v114480.03 15479.03 15783.01 16983.78 26864.51 20587.11 17290.57 14271.96 16578.08 16386.20 24661.41 16993.94 14074.93 13877.23 25590.60 177
XVG-OURS-SEG-HR80.81 13279.76 13783.96 13785.60 23968.78 11683.54 26390.50 14370.66 19076.71 19091.66 9460.69 18391.26 24076.94 12081.58 21491.83 137
MVS78.19 19876.99 20481.78 19985.66 23766.99 15784.66 23490.47 14455.08 34872.02 26485.27 26363.83 13094.11 13566.10 21889.80 11584.24 322
XVG-OURS80.41 14579.23 15283.97 13685.64 23869.02 11083.03 27190.39 14571.09 18177.63 17091.49 10254.62 22791.35 23875.71 13183.47 19191.54 144
MVSFormer82.85 9582.05 10185.24 8587.35 21170.21 8790.50 6790.38 14668.55 23481.32 11389.47 15261.68 16293.46 16678.98 10090.26 10892.05 132
test_djsdf80.30 14979.32 14983.27 15583.98 26565.37 19290.50 6790.38 14668.55 23476.19 20388.70 17256.44 21593.46 16678.98 10080.14 23290.97 165
CPTT-MVS83.73 7883.33 8284.92 9693.28 5570.86 7792.09 3790.38 14668.75 23179.57 13392.83 7460.60 18693.04 18780.92 8591.56 9390.86 168
v14419279.47 16578.37 17182.78 18283.35 27563.96 21786.96 17590.36 14969.99 20077.50 17185.67 25560.66 18493.77 15174.27 14276.58 26690.62 175
v192192079.22 17378.03 17882.80 17983.30 27763.94 21886.80 18190.33 15069.91 20277.48 17285.53 25858.44 19893.75 15373.60 14776.85 26390.71 173
MVS_111021_HR85.14 6984.75 7386.32 6591.65 8772.70 3185.98 20490.33 15076.11 8482.08 10391.61 9871.36 6194.17 13281.02 8392.58 7992.08 131
v124078.99 18077.78 18682.64 18583.21 27963.54 22686.62 18890.30 15269.74 20877.33 17585.68 25457.04 21293.76 15273.13 15676.92 25990.62 175
v879.97 15779.02 15882.80 17984.09 26264.50 20787.96 14790.29 15374.13 13075.24 22786.81 22262.88 14593.89 14674.39 14175.40 28790.00 203
mvs_tets79.13 17677.77 18783.22 15984.70 25366.37 16889.17 9990.19 15469.38 21275.40 22089.46 15444.17 31593.15 17976.78 12380.70 22490.14 192
jajsoiax79.29 17277.96 17983.27 15584.68 25466.57 16689.25 9890.16 15569.20 21875.46 21789.49 15145.75 31093.13 18176.84 12180.80 22290.11 195
Vis-MVSNetpermissive83.46 8482.80 9085.43 8190.25 11168.74 11990.30 7590.13 15676.33 8180.87 12192.89 7261.00 17994.20 12972.45 16290.97 9993.35 85
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
PS-MVSNAJ81.69 11381.02 11583.70 14389.51 13168.21 13484.28 24890.09 15770.79 18681.26 11785.62 25763.15 14094.29 12175.62 13388.87 12388.59 251
xiu_mvs_v2_base81.69 11381.05 11483.60 14489.15 15168.03 13784.46 24290.02 15870.67 18981.30 11686.53 23963.17 13994.19 13075.60 13488.54 12888.57 252
v2v48280.23 15079.29 15083.05 16783.62 27064.14 21487.04 17389.97 15973.61 14078.18 16087.22 21361.10 17793.82 14776.11 12776.78 26591.18 156
test_yl81.17 12380.47 12583.24 15789.13 15263.62 22286.21 19989.95 16072.43 16081.78 10989.61 14757.50 20693.58 15770.75 17186.90 14892.52 113
DCV-MVSNet81.17 12380.47 12583.24 15789.13 15263.62 22286.21 19989.95 16072.43 16081.78 10989.61 14757.50 20693.58 15770.75 17186.90 14892.52 113
Regformer-385.23 6785.07 6885.70 7888.95 15769.01 11188.29 13689.91 16280.95 885.01 5490.01 13872.45 5094.19 13082.50 7387.57 13693.90 57
V4279.38 17178.24 17582.83 17681.10 32065.50 18685.55 21789.82 16371.57 17478.21 15886.12 24760.66 18493.18 17875.64 13275.46 28589.81 214
VNet82.21 10282.41 9381.62 20290.82 10060.93 26384.47 24089.78 16476.36 8084.07 8091.88 9164.71 12490.26 25970.68 17388.89 12293.66 68
diffmvs82.10 10381.88 10582.76 18483.00 28763.78 22183.68 25789.76 16572.94 15582.02 10489.85 14165.96 11390.79 25382.38 7587.30 14393.71 67
XVG-ACMP-BASELINE76.11 23874.27 24581.62 20283.20 28064.67 20383.60 26189.75 16669.75 20671.85 26587.09 21832.78 35792.11 21569.99 18180.43 22888.09 258
EI-MVSNet-Vis-set84.19 7583.81 7885.31 8288.18 18467.85 13987.66 15789.73 16780.05 1682.95 9389.59 14970.74 6694.82 10780.66 9084.72 17293.28 88
xxxxxxxxxxxxxcwj87.88 1987.92 1987.77 2693.80 4472.35 4590.47 6989.69 16874.31 12389.16 1995.10 1375.65 2296.19 4587.07 2196.01 1794.79 18
EI-MVSNet-UG-set83.81 7783.38 8185.09 8987.87 19367.53 14787.44 16389.66 16979.74 1882.23 10289.41 15870.24 7194.74 11079.95 9483.92 18292.99 102
PAPM77.68 21276.40 21981.51 20587.29 21761.85 25483.78 25689.59 17064.74 27371.23 27088.70 17262.59 14893.66 15652.66 31187.03 14789.01 235
anonymousdsp78.60 18877.15 20082.98 17180.51 32667.08 15687.24 16989.53 17165.66 26475.16 22887.19 21552.52 24092.25 21177.17 11879.34 24089.61 219
MG-MVS83.41 8583.45 8083.28 15492.74 7162.28 24988.17 14189.50 17275.22 10181.49 11292.74 8066.75 10095.11 9072.85 15891.58 9292.45 118
PLCcopyleft70.83 1178.05 20276.37 22083.08 16591.88 8567.80 14088.19 14089.46 17364.33 27969.87 28788.38 18353.66 23593.58 15758.86 27682.73 20187.86 262
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
Fast-Effi-MVS+80.81 13279.92 13383.47 14788.85 15964.51 20585.53 21989.39 17470.79 18678.49 15085.06 26967.54 9493.58 15767.03 21386.58 15392.32 121
IterMVS-LS80.06 15379.38 14682.11 19385.89 23463.20 23686.79 18289.34 17574.19 12775.45 21886.72 22566.62 10192.39 20472.58 16076.86 26290.75 171
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
API-MVS81.99 10781.23 11184.26 12090.94 9770.18 9291.10 5589.32 17671.51 17578.66 14688.28 18665.26 11795.10 9364.74 23091.23 9887.51 270
GBi-Net78.40 19177.40 19681.40 20887.60 20563.01 23988.39 13089.28 17771.63 16975.34 22287.28 20954.80 22191.11 24362.72 24079.57 23590.09 197
test178.40 19177.40 19681.40 20887.60 20563.01 23988.39 13089.28 17771.63 16975.34 22287.28 20954.80 22191.11 24362.72 24079.57 23590.09 197
FMVSNet177.44 21576.12 22281.40 20886.81 22563.01 23988.39 13089.28 17770.49 19374.39 24087.28 20949.06 28691.11 24360.91 25978.52 24590.09 197
cdsmvs_eth3d_5k19.96 34226.61 3440.00 3620.00 3850.00 3860.00 37389.26 1800.00 3800.00 38188.61 17661.62 1640.00 3810.00 3790.00 3790.00 377
ab-mvs79.51 16378.97 15981.14 21788.46 17760.91 26483.84 25589.24 18170.36 19479.03 13888.87 17063.23 13890.21 26165.12 22682.57 20492.28 124
cascas76.72 22874.64 23882.99 17085.78 23665.88 17782.33 27589.21 18260.85 31172.74 25481.02 31347.28 29693.75 15367.48 20585.02 16889.34 224
eth_miper_zixun_eth77.92 20676.69 21381.61 20483.00 28761.98 25283.15 26789.20 18369.52 21074.86 23684.35 27661.76 16192.56 19871.50 16772.89 31390.28 188
h-mvs3383.15 8982.19 9786.02 7390.56 10570.85 7888.15 14389.16 18476.02 8684.67 6591.39 10561.54 16595.50 6982.71 6975.48 28391.72 141
miper_ehance_all_eth78.59 18977.76 18881.08 21982.66 29561.56 25883.65 25889.15 18568.87 22975.55 21483.79 28566.49 10392.03 21773.25 15476.39 27089.64 218
Effi-MVS+83.62 8283.08 8485.24 8588.38 18067.45 14888.89 11089.15 18575.50 9582.27 10188.28 18669.61 7794.45 11977.81 11187.84 13493.84 61
c3_l78.75 18477.91 18181.26 21282.89 29061.56 25884.09 25389.13 18769.97 20175.56 21384.29 27766.36 10592.09 21673.47 15175.48 28390.12 194
LTVRE_ROB69.57 1376.25 23674.54 24181.41 20788.60 17264.38 21179.24 30489.12 18870.76 18869.79 28987.86 19749.09 28593.20 17556.21 29980.16 23086.65 292
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
F-COLMAP76.38 23574.33 24482.50 18889.28 14666.95 16288.41 12989.03 18964.05 28366.83 31288.61 17646.78 29992.89 19057.48 28878.55 24487.67 265
FMVSNet278.20 19777.21 19981.20 21587.60 20562.89 24387.47 16289.02 19071.63 16975.29 22687.28 20954.80 22191.10 24662.38 24479.38 23989.61 219
ACMH67.68 1675.89 24073.93 24781.77 20088.71 16966.61 16588.62 12289.01 19169.81 20366.78 31386.70 23041.95 33191.51 23555.64 30078.14 25087.17 279
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
miper_enhance_ethall77.87 20876.86 20680.92 22381.65 30961.38 26082.68 27288.98 19265.52 26675.47 21582.30 30265.76 11592.00 21972.95 15776.39 27089.39 223
无先验87.48 16188.98 19260.00 31794.12 13367.28 20788.97 238
AdaColmapbinary80.58 14379.42 14484.06 12793.09 6168.91 11489.36 9588.97 19469.27 21475.70 21289.69 14457.20 21195.77 6063.06 23988.41 13187.50 271
EI-MVSNet80.52 14479.98 13282.12 19284.28 25863.19 23786.41 19388.95 19574.18 12878.69 14487.54 20566.62 10192.43 20272.57 16180.57 22690.74 172
MVSTER79.01 17977.88 18382.38 19083.07 28464.80 20184.08 25488.95 19569.01 22678.69 14487.17 21654.70 22592.43 20274.69 13980.57 22689.89 210
RRT_MVS80.35 14879.22 15383.74 14287.63 20465.46 18891.08 5688.92 19773.82 13576.44 19790.03 13749.05 28794.25 12876.84 12179.20 24391.51 145
131476.53 22975.30 23480.21 23783.93 26662.32 24884.66 23488.81 19860.23 31570.16 28184.07 28055.30 21990.73 25567.37 20683.21 19487.59 269
UniMVSNet_ETH3D79.10 17778.24 17581.70 20186.85 22360.24 27487.28 16888.79 19974.25 12676.84 18590.53 12749.48 28091.56 23267.98 20082.15 20793.29 87
xiu_mvs_v1_base_debu80.80 13479.72 13884.03 13287.35 21170.19 8985.56 21488.77 20069.06 22381.83 10588.16 19050.91 26392.85 19178.29 10887.56 13889.06 230
xiu_mvs_v1_base80.80 13479.72 13884.03 13287.35 21170.19 8985.56 21488.77 20069.06 22381.83 10588.16 19050.91 26392.85 19178.29 10887.56 13889.06 230
xiu_mvs_v1_base_debi80.80 13479.72 13884.03 13287.35 21170.19 8985.56 21488.77 20069.06 22381.83 10588.16 19050.91 26392.85 19178.29 10887.56 13889.06 230
FMVSNet377.88 20776.85 20780.97 22286.84 22462.36 24686.52 19188.77 20071.13 17975.34 22286.66 23254.07 23291.10 24662.72 24079.57 23589.45 222
patch_mono-283.65 8084.54 7580.99 22190.06 11965.83 17884.21 24988.74 20471.60 17385.01 5492.44 8174.51 3083.50 32682.15 7692.15 8493.64 75
GeoE81.71 11281.01 11683.80 14189.51 13164.45 20988.97 10788.73 20571.27 17878.63 14789.76 14366.32 10693.20 17569.89 18286.02 16293.74 66
CANet_DTU80.61 14079.87 13482.83 17685.60 23963.17 23887.36 16488.65 20676.37 7975.88 20988.44 18253.51 23693.07 18473.30 15389.74 11692.25 125
HyFIR lowres test77.53 21475.40 23083.94 13889.59 12766.62 16480.36 29388.64 20756.29 34476.45 19485.17 26657.64 20493.28 17161.34 25783.10 19791.91 135
WR-MVS79.49 16479.22 15380.27 23688.79 16558.35 28585.06 22688.61 20878.56 3277.65 16988.34 18463.81 13190.66 25664.98 22877.22 25691.80 140
BH-untuned79.47 16578.60 16582.05 19489.19 15065.91 17686.07 20388.52 20972.18 16275.42 21987.69 20061.15 17693.54 16160.38 26286.83 15086.70 291
IS-MVSNet83.15 8982.81 8984.18 12289.94 12263.30 23391.59 4488.46 21079.04 2779.49 13492.16 8565.10 11994.28 12267.71 20291.86 9094.95 7
pm-mvs177.25 22176.68 21478.93 25984.22 26058.62 28486.41 19388.36 21171.37 17773.31 24888.01 19661.22 17589.15 27764.24 23273.01 31289.03 234
UGNet80.83 13179.59 14184.54 10888.04 18968.09 13589.42 9488.16 21276.95 6276.22 20289.46 15449.30 28393.94 14068.48 19790.31 10691.60 142
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
VDD-MVS83.01 9482.36 9584.96 9391.02 9566.40 16788.91 10988.11 21377.57 4384.39 7493.29 6252.19 24693.91 14477.05 11988.70 12694.57 29
Effi-MVS+-dtu80.03 15478.57 16684.42 11385.13 24768.74 11988.77 11688.10 21474.99 10674.97 23483.49 28957.27 20993.36 16973.53 14880.88 22091.18 156
mvs-test180.88 12779.40 14585.29 8385.13 24769.75 9889.28 9688.10 21474.99 10676.44 19786.72 22557.27 20994.26 12773.53 14883.18 19591.87 136
v14878.72 18577.80 18581.47 20682.73 29361.96 25386.30 19788.08 21673.26 14976.18 20485.47 26062.46 15192.36 20671.92 16473.82 30590.09 197
EG-PatchMatch MVS74.04 25771.82 26580.71 22784.92 25167.42 14985.86 20988.08 21666.04 25964.22 33283.85 28235.10 35392.56 19857.44 28980.83 22182.16 340
cl2278.07 20177.01 20281.23 21382.37 30261.83 25583.55 26287.98 21868.96 22775.06 23283.87 28161.40 17091.88 22473.53 14876.39 27089.98 206
pmmvs674.69 25173.39 25278.61 26381.38 31557.48 30186.64 18787.95 21964.99 27270.18 27986.61 23350.43 27089.52 27062.12 24870.18 32888.83 244
MVP-Stereo76.12 23774.46 24381.13 21885.37 24269.79 9684.42 24587.95 21965.03 27067.46 30485.33 26253.28 23891.73 22958.01 28583.27 19381.85 341
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
cl____77.72 21076.76 21080.58 22982.49 29960.48 27183.09 26887.87 22169.22 21674.38 24185.22 26562.10 15891.53 23371.09 16975.41 28689.73 217
DIV-MVS_self_test77.72 21076.76 21080.58 22982.48 30060.48 27183.09 26887.86 22269.22 21674.38 24185.24 26462.10 15891.53 23371.09 16975.40 28789.74 216
BH-w/o78.21 19677.33 19880.84 22488.81 16365.13 19684.87 23087.85 22369.75 20674.52 23984.74 27361.34 17193.11 18258.24 28385.84 16584.27 321
HY-MVS69.67 1277.95 20577.15 20080.36 23387.57 20960.21 27583.37 26587.78 22466.11 25775.37 22187.06 22063.27 13690.48 25861.38 25682.43 20590.40 185
1112_ss77.40 21776.43 21880.32 23589.11 15660.41 27383.65 25887.72 22562.13 30373.05 25286.72 22562.58 14989.97 26362.11 24980.80 22290.59 178
mvs_anonymous79.42 16879.11 15680.34 23484.45 25757.97 29282.59 27387.62 22667.40 24476.17 20688.56 17968.47 8789.59 26970.65 17486.05 16193.47 82
ACMH+68.96 1476.01 23974.01 24682.03 19588.60 17265.31 19388.86 11187.55 22770.25 19767.75 30187.47 20741.27 33293.19 17758.37 28175.94 27687.60 267
tfpnnormal74.39 25273.16 25578.08 27186.10 23358.05 28984.65 23787.53 22870.32 19571.22 27185.63 25654.97 22089.86 26443.03 35375.02 29386.32 295
CHOSEN 1792x268877.63 21375.69 22483.44 14889.98 12168.58 12778.70 31187.50 22956.38 34375.80 21186.84 22158.67 19691.40 23761.58 25485.75 16690.34 186
ambc75.24 30273.16 36450.51 35563.05 36387.47 23064.28 33177.81 34017.80 37089.73 26757.88 28660.64 35285.49 307
Fast-Effi-MVS+-dtu78.02 20376.49 21682.62 18683.16 28366.96 16186.94 17687.45 23172.45 15771.49 26984.17 27854.79 22491.58 23167.61 20380.31 22989.30 226
D2MVS74.82 25073.21 25479.64 25079.81 33362.56 24580.34 29487.35 23264.37 27868.86 29482.66 29846.37 30190.10 26267.91 20181.24 21786.25 296
TSAR-MVS + GP.85.71 5985.33 6386.84 5391.34 9072.50 3789.07 10587.28 23376.41 7585.80 4590.22 13274.15 3995.37 8281.82 7891.88 8792.65 112
hse-mvs281.72 11180.94 11784.07 12688.72 16867.68 14485.87 20887.26 23476.02 8684.67 6588.22 18961.54 16593.48 16482.71 6973.44 30991.06 160
AUN-MVS79.21 17477.60 19384.05 12988.71 16967.61 14585.84 21087.26 23469.08 22277.23 17988.14 19453.20 23993.47 16575.50 13673.45 30891.06 160
BH-RMVSNet79.61 16078.44 16983.14 16289.38 13765.93 17584.95 22987.15 23673.56 14278.19 15989.79 14256.67 21493.36 16959.53 26986.74 15190.13 193
Test_1112_low_res76.40 23475.44 22879.27 25589.28 14658.09 28881.69 28187.07 23759.53 32272.48 25886.67 23161.30 17289.33 27360.81 26180.15 23190.41 184
KD-MVS_self_test68.81 29867.59 30372.46 32174.29 35945.45 36377.93 31887.00 23863.12 28963.99 33478.99 33342.32 32584.77 31856.55 29764.09 34687.16 281
LS3D76.95 22574.82 23783.37 15290.45 10767.36 15289.15 10386.94 23961.87 30569.52 29090.61 12451.71 25794.53 11646.38 34486.71 15288.21 257
miper_lstm_enhance74.11 25673.11 25677.13 28780.11 32959.62 27872.23 34186.92 24066.76 24870.40 27682.92 29356.93 21382.92 33069.06 19172.63 31488.87 242
jason81.39 12180.29 12984.70 10486.63 22869.90 9485.95 20586.77 24163.24 28881.07 11989.47 15261.08 17892.15 21478.33 10790.07 11392.05 132
jason: jason.
OurMVSNet-221017-074.26 25472.42 26179.80 24583.76 26959.59 27985.92 20786.64 24266.39 25566.96 30987.58 20239.46 33891.60 23065.76 22269.27 33088.22 256
VPNet78.69 18678.66 16478.76 26188.31 18255.72 32484.45 24386.63 24376.79 6778.26 15690.55 12659.30 19389.70 26866.63 21477.05 25890.88 167
USDC70.33 28868.37 28976.21 29380.60 32456.23 31979.19 30686.49 24460.89 31061.29 34385.47 26031.78 36089.47 27253.37 30876.21 27482.94 337
lupinMVS81.39 12180.27 13084.76 10387.35 21170.21 8785.55 21786.41 24562.85 29581.32 11388.61 17661.68 16292.24 21278.41 10690.26 10891.83 137
TR-MVS77.44 21576.18 22181.20 21588.24 18363.24 23484.61 23886.40 24667.55 24277.81 16686.48 24054.10 23193.15 17957.75 28782.72 20287.20 278
旧先验191.96 8265.79 18186.37 24793.08 6969.31 8192.74 7688.74 248
GA-MVS76.87 22675.17 23581.97 19782.75 29262.58 24481.44 28586.35 24872.16 16474.74 23782.89 29446.20 30492.02 21868.85 19481.09 21891.30 154
CDS-MVSNet79.07 17877.70 19083.17 16187.60 20568.23 13384.40 24686.20 24967.49 24376.36 19986.54 23861.54 16590.79 25361.86 25187.33 14290.49 181
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
MVS_111021_LR82.61 9982.11 9884.11 12388.82 16271.58 5985.15 22486.16 25074.69 11480.47 12591.04 11562.29 15490.55 25780.33 9290.08 11290.20 190
MSDG73.36 26470.99 27380.49 23184.51 25665.80 18080.71 28986.13 25165.70 26365.46 32383.74 28644.60 31390.91 25151.13 31776.89 26184.74 317
TransMVSNet (Re)75.39 24874.56 24077.86 27385.50 24157.10 30586.78 18386.09 25272.17 16371.53 26887.34 20863.01 14489.31 27456.84 29561.83 34987.17 279
VDDNet81.52 11880.67 12184.05 12990.44 10864.13 21589.73 9085.91 25371.11 18083.18 9193.48 5750.54 26993.49 16373.40 15288.25 13294.54 30
mvsmamba81.69 11380.74 11984.56 10787.45 21066.72 16391.26 5085.89 25474.66 11578.23 15790.56 12554.33 22894.91 10080.73 8983.54 19092.04 134
Baseline_NR-MVSNet78.15 19978.33 17377.61 27985.79 23556.21 32086.78 18385.76 25573.60 14177.93 16587.57 20365.02 12088.99 27967.14 21175.33 28987.63 266
Anonymous2024052168.80 29967.22 30573.55 31474.33 35854.11 33383.18 26685.61 25658.15 33161.68 34280.94 31530.71 36181.27 33757.00 29473.34 31185.28 310
新几何183.42 14993.13 5870.71 8085.48 25757.43 33781.80 10891.98 8863.28 13592.27 21064.60 23192.99 7287.27 276
112180.84 12979.77 13684.05 12993.11 6070.78 7984.66 23485.42 25857.37 33881.76 11192.02 8763.41 13394.12 13367.28 20792.93 7387.26 277
EPNet83.72 7982.92 8886.14 6984.22 26069.48 10391.05 5785.27 25981.30 776.83 18691.65 9566.09 10995.56 6576.00 13093.85 6793.38 83
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
UnsupCasMVSNet_eth67.33 30765.99 31071.37 32573.48 36251.47 35075.16 33285.19 26065.20 26760.78 34580.93 31742.35 32477.20 35257.12 29253.69 36085.44 308
IB-MVS68.01 1575.85 24173.36 25383.31 15384.76 25266.03 17283.38 26485.06 26170.21 19869.40 29181.05 31245.76 30994.66 11265.10 22775.49 28289.25 227
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
TAMVS78.89 18377.51 19583.03 16887.80 19767.79 14184.72 23385.05 26267.63 24076.75 18987.70 19962.25 15590.82 25258.53 28087.13 14590.49 181
CL-MVSNet_self_test72.37 27571.46 26775.09 30379.49 33953.53 33780.76 28885.01 26369.12 22170.51 27482.05 30657.92 20184.13 32152.27 31266.00 34187.60 267
iter_conf0580.00 15678.70 16283.91 13987.84 19565.83 17888.84 11484.92 26471.61 17278.70 14388.94 16643.88 31794.56 11379.28 9884.28 17991.33 151
testdata79.97 24190.90 9864.21 21384.71 26559.27 32485.40 4992.91 7162.02 16089.08 27868.95 19291.37 9586.63 293
MS-PatchMatch73.83 25972.67 25877.30 28483.87 26766.02 17381.82 27884.66 26661.37 30968.61 29782.82 29647.29 29588.21 29159.27 27084.32 17877.68 355
ET-MVSNet_ETH3D78.63 18776.63 21584.64 10586.73 22769.47 10485.01 22784.61 26769.54 20966.51 31886.59 23450.16 27291.75 22776.26 12684.24 18092.69 110
CNLPA78.08 20076.79 20981.97 19790.40 10971.07 6987.59 15984.55 26866.03 26072.38 26089.64 14657.56 20586.04 30859.61 26883.35 19288.79 246
iter_conf_final80.63 13979.35 14884.46 11189.36 13867.70 14389.85 8384.49 26973.19 15078.30 15588.94 16645.98 30594.56 11379.59 9784.48 17691.11 158
MIMVSNet168.58 30166.78 30873.98 31380.07 33051.82 34680.77 28784.37 27064.40 27759.75 34982.16 30536.47 34983.63 32542.73 35470.33 32786.48 294
KD-MVS_2432*160066.22 31563.89 31673.21 31675.47 35653.42 33970.76 34684.35 27164.10 28166.52 31678.52 33434.55 35584.98 31550.40 32050.33 36481.23 344
miper_refine_blended66.22 31563.89 31673.21 31675.47 35653.42 33970.76 34684.35 27164.10 28166.52 31678.52 33434.55 35584.98 31550.40 32050.33 36481.23 344
test_040272.79 27170.44 27879.84 24488.13 18565.99 17485.93 20684.29 27365.57 26567.40 30685.49 25946.92 29892.61 19635.88 36274.38 29980.94 346
EU-MVSNet68.53 30267.61 30271.31 32878.51 34447.01 36284.47 24084.27 27442.27 36066.44 31984.79 27240.44 33683.76 32358.76 27868.54 33583.17 331
thisisatest053079.40 16977.76 18884.31 11887.69 20365.10 19787.36 16484.26 27570.04 19977.42 17388.26 18849.94 27594.79 10970.20 17784.70 17393.03 98
COLMAP_ROBcopyleft66.92 1773.01 26870.41 27980.81 22587.13 22065.63 18388.30 13584.19 27662.96 29363.80 33687.69 20038.04 34592.56 19846.66 34174.91 29484.24 322
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
tttt051779.40 16977.91 18183.90 14088.10 18763.84 21988.37 13384.05 27771.45 17676.78 18889.12 16249.93 27794.89 10470.18 17883.18 19592.96 103
CMPMVSbinary51.72 2170.19 29068.16 29276.28 29273.15 36557.55 30079.47 30283.92 27848.02 35856.48 35784.81 27143.13 32086.42 30662.67 24381.81 21284.89 315
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
Anonymous20240521178.25 19477.01 20281.99 19691.03 9460.67 26884.77 23283.90 27970.65 19180.00 13091.20 10941.08 33491.43 23665.21 22585.26 16793.85 59
XXY-MVS75.41 24775.56 22674.96 30483.59 27157.82 29680.59 29183.87 28066.54 25474.93 23588.31 18563.24 13780.09 34162.16 24776.85 26386.97 285
DP-MVS76.78 22774.57 23983.42 14993.29 5469.46 10688.55 12583.70 28163.98 28570.20 27888.89 16954.01 23394.80 10846.66 34181.88 21186.01 303
tfpn200view976.42 23375.37 23279.55 25389.13 15257.65 29885.17 22283.60 28273.41 14776.45 19486.39 24252.12 24791.95 22048.33 33283.75 18589.07 228
thres40076.50 23075.37 23279.86 24389.13 15257.65 29885.17 22283.60 28273.41 14776.45 19486.39 24252.12 24791.95 22048.33 33283.75 18590.00 203
SixPastTwentyTwo73.37 26271.26 27279.70 24785.08 24957.89 29485.57 21383.56 28471.03 18265.66 32285.88 25042.10 32992.57 19759.11 27363.34 34788.65 250
thres20075.55 24474.47 24278.82 26087.78 20057.85 29583.07 27083.51 28572.44 15975.84 21084.42 27552.08 24991.75 22747.41 33983.64 18986.86 287
MVS_030472.48 27270.89 27577.24 28582.20 30359.68 27784.11 25283.49 28667.10 24566.87 31180.59 31835.00 35487.40 29959.07 27479.58 23484.63 319
IterMVS-SCA-FT75.43 24673.87 24980.11 23982.69 29464.85 20081.57 28383.47 28769.16 22070.49 27584.15 27951.95 25288.15 29269.23 18872.14 31887.34 274
CVMVSNet72.99 26972.58 25974.25 31184.28 25850.85 35386.41 19383.45 28844.56 35973.23 25087.54 20549.38 28185.70 31065.90 22078.44 24786.19 298
ITE_SJBPF78.22 26981.77 30860.57 26983.30 28969.25 21567.54 30387.20 21436.33 35087.28 30154.34 30474.62 29786.80 288
thisisatest051577.33 21875.38 23183.18 16085.27 24363.80 22082.11 27783.27 29065.06 26975.91 20883.84 28349.54 27994.27 12367.24 20986.19 15991.48 149
thres100view90076.50 23075.55 22779.33 25489.52 13056.99 30685.83 21183.23 29173.94 13276.32 20087.12 21751.89 25491.95 22048.33 33283.75 18589.07 228
thres600view776.50 23075.44 22879.68 24889.40 13557.16 30385.53 21983.23 29173.79 13776.26 20187.09 21851.89 25491.89 22348.05 33783.72 18890.00 203
test22291.50 8968.26 13284.16 25083.20 29354.63 34979.74 13191.63 9758.97 19591.42 9486.77 289
EPNet_dtu75.46 24574.86 23677.23 28682.57 29754.60 32986.89 17883.09 29471.64 16866.25 32085.86 25155.99 21688.04 29454.92 30286.55 15489.05 233
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
TDRefinement67.49 30564.34 31476.92 28873.47 36361.07 26284.86 23182.98 29559.77 31958.30 35285.13 26726.06 36387.89 29547.92 33860.59 35381.81 342
OpenMVS_ROBcopyleft64.09 1970.56 28668.19 29177.65 27880.26 32759.41 28185.01 22782.96 29658.76 32865.43 32482.33 30137.63 34791.23 24245.34 34976.03 27582.32 338
RPSCF73.23 26671.46 26778.54 26582.50 29859.85 27682.18 27682.84 29758.96 32671.15 27289.41 15845.48 31284.77 31858.82 27771.83 32091.02 164
CostFormer75.24 24973.90 24879.27 25582.65 29658.27 28780.80 28682.73 29861.57 30675.33 22583.13 29255.52 21791.07 24964.98 22878.34 24988.45 253
IterMVS74.29 25372.94 25778.35 26881.53 31263.49 22881.58 28282.49 29968.06 23969.99 28483.69 28751.66 25885.54 31165.85 22171.64 32186.01 303
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
WTY-MVS75.65 24375.68 22575.57 29886.40 23056.82 30877.92 31982.40 30065.10 26876.18 20487.72 19863.13 14380.90 33860.31 26381.96 20989.00 237
pmmvs474.03 25871.91 26480.39 23281.96 30668.32 13081.45 28482.14 30159.32 32369.87 28785.13 26752.40 24388.13 29360.21 26474.74 29684.73 318
FMVSNet569.50 29467.96 29574.15 31282.97 28955.35 32680.01 29782.12 30262.56 29963.02 33781.53 30936.92 34881.92 33348.42 33174.06 30185.17 313
baseline176.98 22476.75 21277.66 27788.13 18555.66 32585.12 22581.89 30373.04 15376.79 18788.90 16862.43 15287.78 29763.30 23871.18 32489.55 221
UnsupCasMVSNet_bld63.70 32361.53 32770.21 33273.69 36151.39 35172.82 33981.89 30355.63 34657.81 35371.80 35638.67 34178.61 34549.26 32952.21 36280.63 347
LFMVS81.82 11081.23 11183.57 14691.89 8463.43 23189.84 8481.85 30577.04 6183.21 9093.10 6552.26 24593.43 16871.98 16389.95 11493.85 59
sss73.60 26073.64 25173.51 31582.80 29155.01 32776.12 32581.69 30662.47 30074.68 23885.85 25257.32 20878.11 34860.86 26080.93 21987.39 272
pmmvs-eth3d70.50 28767.83 29878.52 26677.37 34866.18 17181.82 27881.51 30758.90 32763.90 33580.42 32042.69 32386.28 30758.56 27965.30 34383.11 333
TinyColmap67.30 30864.81 31274.76 30781.92 30756.68 31280.29 29581.49 30860.33 31356.27 35883.22 29124.77 36487.66 29845.52 34769.47 32979.95 350
tpmvs71.09 28169.29 28476.49 29182.04 30556.04 32178.92 30981.37 30964.05 28367.18 30878.28 33649.74 27889.77 26549.67 32772.37 31583.67 327
pmmvs571.55 27870.20 28175.61 29777.83 34556.39 31681.74 28080.89 31057.76 33467.46 30484.49 27449.26 28485.32 31457.08 29375.29 29085.11 314
ANet_high50.57 33446.10 33763.99 34348.67 37739.13 37070.99 34580.85 31161.39 30831.18 36857.70 36517.02 37173.65 36531.22 36415.89 37479.18 352
LCM-MVSNet54.25 32949.68 33567.97 34053.73 37445.28 36466.85 35880.78 31235.96 36639.45 36662.23 3628.70 37878.06 34948.24 33551.20 36380.57 348
PVSNet64.34 1872.08 27770.87 27675.69 29686.21 23256.44 31574.37 33780.73 31362.06 30470.17 28082.23 30442.86 32283.31 32854.77 30384.45 17787.32 275
baseline275.70 24273.83 25081.30 21183.26 27861.79 25682.57 27480.65 31466.81 24666.88 31083.42 29057.86 20292.19 21363.47 23579.57 23589.91 208
ppachtmachnet_test70.04 29167.34 30478.14 27079.80 33461.13 26179.19 30680.59 31559.16 32565.27 32579.29 32846.75 30087.29 30049.33 32866.72 33786.00 305
Gipumacopyleft45.18 33541.86 33855.16 34977.03 35051.52 34932.50 37080.52 31632.46 36827.12 36935.02 3709.52 37775.50 35822.31 37060.21 35438.45 369
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
Anonymous2023120668.60 30067.80 29971.02 32980.23 32850.75 35478.30 31580.47 31756.79 34166.11 32182.63 29946.35 30278.95 34443.62 35275.70 27883.36 330
LCM-MVSNet-Re77.05 22276.94 20577.36 28287.20 21851.60 34880.06 29680.46 31875.20 10267.69 30286.72 22562.48 15088.98 28063.44 23689.25 12091.51 145
tpm273.26 26571.46 26778.63 26283.34 27656.71 31180.65 29080.40 31956.63 34273.55 24682.02 30751.80 25691.24 24156.35 29878.42 24887.95 259
CR-MVSNet73.37 26271.27 27179.67 24981.32 31865.19 19475.92 32780.30 32059.92 31872.73 25581.19 31052.50 24186.69 30359.84 26677.71 25187.11 283
Patchmtry70.74 28369.16 28575.49 30080.72 32254.07 33474.94 33680.30 32058.34 33070.01 28281.19 31052.50 24186.54 30453.37 30871.09 32585.87 306
tpm cat170.57 28568.31 29077.35 28382.41 30157.95 29378.08 31680.22 32252.04 35468.54 29877.66 34152.00 25187.84 29651.77 31372.07 31986.25 296
MDTV_nov1_ep1369.97 28283.18 28153.48 33877.10 32380.18 32360.45 31269.33 29380.44 31948.89 29086.90 30251.60 31578.51 246
AllTest70.96 28268.09 29479.58 25185.15 24563.62 22284.58 23979.83 32462.31 30160.32 34686.73 22332.02 35888.96 28250.28 32271.57 32286.15 299
TestCases79.58 25185.15 24563.62 22279.83 32462.31 30160.32 34686.73 22332.02 35888.96 28250.28 32271.57 32286.15 299
Vis-MVSNet (Re-imp)78.36 19378.45 16878.07 27288.64 17151.78 34786.70 18679.63 32674.14 12975.11 23090.83 12161.29 17389.75 26658.10 28491.60 9192.69 110
MIMVSNet70.69 28469.30 28374.88 30584.52 25556.35 31875.87 32979.42 32764.59 27467.76 30082.41 30041.10 33381.54 33546.64 34381.34 21586.75 290
SCA74.22 25572.33 26279.91 24284.05 26462.17 25079.96 29879.29 32866.30 25672.38 26080.13 32251.95 25288.60 28759.25 27177.67 25388.96 239
tpmrst72.39 27372.13 26373.18 31980.54 32549.91 35679.91 29979.08 32963.11 29071.69 26779.95 32455.32 21882.77 33165.66 22373.89 30386.87 286
PatchmatchNetpermissive73.12 26771.33 27078.49 26783.18 28160.85 26579.63 30078.57 33064.13 28071.73 26679.81 32751.20 26185.97 30957.40 29076.36 27388.66 249
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
MDA-MVSNet-bldmvs66.68 31063.66 31875.75 29579.28 34160.56 27073.92 33878.35 33164.43 27650.13 36379.87 32644.02 31683.67 32446.10 34556.86 35683.03 335
new-patchmatchnet61.73 32461.73 32661.70 34572.74 36624.50 37969.16 35278.03 33261.40 30756.72 35675.53 35038.42 34276.48 35545.95 34657.67 35584.13 324
our_test_369.14 29667.00 30675.57 29879.80 33458.80 28277.96 31777.81 33359.55 32162.90 34078.25 33747.43 29483.97 32251.71 31467.58 33683.93 326
test20.0367.45 30666.95 30768.94 33575.48 35544.84 36577.50 32077.67 33466.66 25063.01 33883.80 28447.02 29778.40 34642.53 35568.86 33483.58 328
bld_raw_dy_0_6477.29 22075.98 22381.22 21485.04 25065.47 18788.14 14477.56 33569.20 21873.77 24589.40 16042.24 32888.85 28576.78 12381.64 21389.33 225
test-LLR72.94 27072.43 26074.48 30881.35 31658.04 29078.38 31277.46 33666.66 25069.95 28579.00 33148.06 29279.24 34266.13 21684.83 17086.15 299
test-mter71.41 27970.39 28074.48 30881.35 31658.04 29078.38 31277.46 33660.32 31469.95 28579.00 33136.08 35179.24 34266.13 21684.83 17086.15 299
ECVR-MVScopyleft79.61 16079.26 15180.67 22890.08 11554.69 32887.89 15277.44 33874.88 10980.27 12692.79 7748.96 28992.45 20168.55 19692.50 8194.86 14
tpm72.37 27571.71 26674.35 31082.19 30452.00 34579.22 30577.29 33964.56 27572.95 25383.68 28851.35 25983.26 32958.33 28275.80 27787.81 263
LF4IMVS64.02 32262.19 32569.50 33470.90 36753.29 34276.13 32477.18 34052.65 35358.59 35080.98 31423.55 36676.52 35453.06 31066.66 33878.68 353
test111179.43 16779.18 15580.15 23889.99 12053.31 34187.33 16677.05 34175.04 10580.23 12892.77 7948.97 28892.33 20968.87 19392.40 8394.81 17
K. test v371.19 28068.51 28879.21 25783.04 28657.78 29784.35 24776.91 34272.90 15662.99 33982.86 29539.27 33991.09 24861.65 25352.66 36188.75 247
testgi66.67 31166.53 30967.08 34275.62 35441.69 36975.93 32676.50 34366.11 25765.20 32886.59 23435.72 35274.71 36143.71 35173.38 31084.84 316
PatchMatch-RL72.38 27470.90 27476.80 29088.60 17267.38 15179.53 30176.17 34462.75 29769.36 29282.00 30845.51 31184.89 31753.62 30780.58 22578.12 354
JIA-IIPM66.32 31462.82 32476.82 28977.09 34961.72 25765.34 35975.38 34558.04 33364.51 33062.32 36142.05 33086.51 30551.45 31669.22 33182.21 339
ADS-MVSNet266.20 31763.33 31974.82 30679.92 33158.75 28367.55 35675.19 34653.37 35165.25 32675.86 34742.32 32580.53 34041.57 35668.91 33285.18 311
PatchT68.46 30367.85 29770.29 33180.70 32343.93 36672.47 34074.88 34760.15 31670.55 27376.57 34549.94 27581.59 33450.58 31874.83 29585.34 309
dp66.80 30965.43 31170.90 33079.74 33648.82 35975.12 33474.77 34859.61 32064.08 33377.23 34242.89 32180.72 33948.86 33066.58 33983.16 332
MDA-MVSNet_test_wron65.03 31862.92 32171.37 32575.93 35156.73 30969.09 35474.73 34957.28 33954.03 36077.89 33845.88 30674.39 36349.89 32661.55 35082.99 336
TESTMET0.1,169.89 29369.00 28672.55 32079.27 34256.85 30778.38 31274.71 35057.64 33568.09 29977.19 34337.75 34676.70 35363.92 23384.09 18184.10 325
YYNet165.03 31862.91 32271.38 32475.85 35256.60 31369.12 35374.66 35157.28 33954.12 35977.87 33945.85 30774.48 36249.95 32561.52 35183.05 334
PMMVS69.34 29568.67 28771.35 32775.67 35362.03 25175.17 33173.46 35250.00 35768.68 29579.05 32952.07 25078.13 34761.16 25882.77 20073.90 358
PVSNet_057.27 2061.67 32559.27 32868.85 33779.61 33757.44 30268.01 35573.44 35355.93 34558.54 35170.41 35744.58 31477.55 35147.01 34035.91 36771.55 360
test0.0.03 168.00 30467.69 30168.90 33677.55 34647.43 36075.70 33072.95 35466.66 25066.56 31482.29 30348.06 29275.87 35744.97 35074.51 29883.41 329
ADS-MVSNet64.36 32162.88 32368.78 33879.92 33147.17 36167.55 35671.18 35553.37 35165.25 32675.86 34742.32 32573.99 36441.57 35668.91 33285.18 311
Patchmatch-RL test70.24 28967.78 30077.61 27977.43 34759.57 28071.16 34370.33 35662.94 29468.65 29672.77 35450.62 26785.49 31269.58 18666.58 33987.77 264
gg-mvs-nofinetune69.95 29267.96 29575.94 29483.07 28454.51 33177.23 32270.29 35763.11 29070.32 27762.33 36043.62 31888.69 28653.88 30687.76 13584.62 320
door-mid69.98 358
GG-mvs-BLEND75.38 30181.59 31155.80 32379.32 30369.63 35967.19 30773.67 35343.24 31988.90 28450.41 31984.50 17481.45 343
FPMVS53.68 33051.64 33359.81 34765.08 37051.03 35269.48 35069.58 36041.46 36140.67 36572.32 35516.46 37270.00 36724.24 36965.42 34258.40 366
door69.44 361
Patchmatch-test64.82 32063.24 32069.57 33379.42 34049.82 35763.49 36269.05 36251.98 35559.95 34880.13 32250.91 26370.98 36640.66 35873.57 30687.90 261
CHOSEN 280x42066.51 31264.71 31371.90 32281.45 31363.52 22757.98 36468.95 36353.57 35062.59 34176.70 34446.22 30375.29 36055.25 30179.68 23376.88 357
EGC-MVSNET52.07 33247.05 33667.14 34183.51 27360.71 26780.50 29267.75 3640.07 3770.43 37875.85 34924.26 36581.54 33528.82 36562.25 34859.16 365
EPMVS69.02 29768.16 29271.59 32379.61 33749.80 35877.40 32166.93 36562.82 29670.01 28279.05 32945.79 30877.86 35056.58 29675.26 29187.13 282
lessismore_v078.97 25881.01 32157.15 30465.99 36661.16 34482.82 29639.12 34091.34 23959.67 26746.92 36688.43 254
pmmvs357.79 32754.26 33168.37 33964.02 37156.72 31075.12 33465.17 36740.20 36252.93 36169.86 35820.36 36875.48 35945.45 34855.25 35972.90 359
MVS-HIRNet59.14 32657.67 32963.57 34481.65 30943.50 36771.73 34265.06 36839.59 36451.43 36257.73 36438.34 34382.58 33239.53 35973.95 30264.62 363
PM-MVS66.41 31364.14 31573.20 31873.92 36056.45 31478.97 30864.96 36963.88 28764.72 32980.24 32119.84 36983.44 32766.24 21564.52 34579.71 351
PMVScopyleft37.38 2244.16 33640.28 33955.82 34840.82 37942.54 36865.12 36063.99 37034.43 36724.48 37057.12 3663.92 38076.17 35617.10 37255.52 35848.75 367
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
test250677.30 21976.49 21679.74 24690.08 11552.02 34487.86 15463.10 37174.88 10980.16 12992.79 7738.29 34492.35 20768.74 19592.50 8194.86 14
test_method31.52 33929.28 34338.23 35427.03 3816.50 38320.94 37262.21 3724.05 37522.35 37352.50 36713.33 37347.58 37427.04 36834.04 36860.62 364
new_pmnet50.91 33350.29 33452.78 35068.58 36834.94 37463.71 36156.63 37339.73 36344.95 36465.47 35921.93 36758.48 37034.98 36356.62 35764.92 362
DSMNet-mixed57.77 32856.90 33060.38 34667.70 36935.61 37269.18 35153.97 37432.30 36957.49 35479.88 32540.39 33768.57 36838.78 36072.37 31576.97 356
PMMVS240.82 33738.86 34046.69 35253.84 37316.45 38048.61 36749.92 37537.49 36531.67 36760.97 3638.14 37956.42 37128.42 36630.72 36967.19 361
E-PMN31.77 33830.64 34135.15 35552.87 37527.67 37657.09 36547.86 37624.64 37016.40 37533.05 37111.23 37554.90 37214.46 37418.15 37222.87 371
EMVS30.81 34029.65 34234.27 35650.96 37625.95 37856.58 36646.80 37724.01 37115.53 37630.68 37212.47 37454.43 37312.81 37517.05 37322.43 372
MVEpermissive26.22 2330.37 34125.89 34543.81 35344.55 37835.46 37328.87 37139.07 37818.20 37218.58 37440.18 3692.68 38147.37 37517.07 37323.78 37148.60 368
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
MTMP92.18 3532.83 379
tmp_tt18.61 34321.40 34610.23 3594.82 38210.11 38134.70 36930.74 3801.48 37623.91 37226.07 37328.42 36213.41 37827.12 36715.35 3757.17 373
DeepMVS_CXcopyleft27.40 35740.17 38026.90 37724.59 38117.44 37323.95 37148.61 3689.77 37626.48 37618.06 37124.47 37028.83 370
N_pmnet52.79 33153.26 33251.40 35178.99 3437.68 38269.52 3493.89 38251.63 35657.01 35574.98 35140.83 33565.96 36937.78 36164.67 34480.56 349
wuyk23d16.82 34415.94 34719.46 35858.74 37231.45 37539.22 3683.74 3836.84 3746.04 3772.70 3771.27 38224.29 37710.54 37614.40 3762.63 374
testmvs6.04 3478.02 3500.10 3610.08 3830.03 38569.74 3480.04 3840.05 3780.31 3791.68 3780.02 3840.04 3790.24 3770.02 3770.25 376
test1236.12 3468.11 3490.14 3600.06 3840.09 38471.05 3440.03 3850.04 3790.25 3801.30 3790.05 3830.03 3800.21 3780.01 3780.29 375
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
pcd_1.5k_mvsjas5.26 3487.02 3510.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 3810.00 38063.15 1400.00 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
n20.00 386
nn0.00 386
ab-mvs-re7.23 3459.64 3480.00 3620.00 3850.00 3860.00 3730.00 3860.00 3800.00 38186.72 2250.00 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_145268.21 23892.02 1294.00 4882.09 595.98 5584.58 4096.68 294.95 7
eth-test20.00 385
eth-test0.00 385
OPU-MVS89.06 394.62 1575.42 493.57 794.02 4782.45 396.87 1983.77 5496.48 894.88 11
test_0728_THIRD78.38 3592.12 995.78 481.46 797.40 789.42 496.57 794.67 24
GSMVS88.96 239
test_part295.06 872.65 3391.80 13
sam_mvs151.32 26088.96 239
sam_mvs50.01 273
test_post178.90 3105.43 37648.81 29185.44 31359.25 271
test_post5.46 37550.36 27184.24 320
patchmatchnet-post74.00 35251.12 26288.60 287
gm-plane-assit81.40 31453.83 33662.72 29880.94 31592.39 20463.40 237
test9_res84.90 3395.70 3192.87 105
agg_prior282.91 6595.45 3392.70 108
test_prior472.60 3589.01 106
test_prior288.85 11275.41 9684.91 5893.54 5474.28 3683.31 5795.86 22
旧先验286.56 19058.10 33287.04 3588.98 28074.07 144
新几何286.29 198
原ACMM286.86 179
testdata291.01 25062.37 245
segment_acmp73.08 45
testdata184.14 25175.71 90
plane_prior790.08 11568.51 128
plane_prior689.84 12468.70 12360.42 188
plane_prior491.00 118
plane_prior368.60 12678.44 3378.92 141
plane_prior291.25 5279.12 25
plane_prior189.90 123
plane_prior68.71 12190.38 7377.62 4186.16 160
HQP5-MVS66.98 158
HQP-NCC89.33 13989.17 9976.41 7577.23 179
ACMP_Plane89.33 13989.17 9976.41 7577.23 179
BP-MVS77.47 114
HQP4-MVS77.24 17895.11 9091.03 162
HQP2-MVS60.17 191
NP-MVS89.62 12668.32 13090.24 130
MDTV_nov1_ep13_2view37.79 37175.16 33255.10 34766.53 31549.34 28253.98 30587.94 260
ACMMP++_ref81.95 210
ACMMP++81.25 216
Test By Simon64.33 125