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
indooroutdoorcourty.delive.electrofacadekickermeadowofficepipesplaygr.reliefrelief.terraceterrai.
sort bysort bysort bysort bysort bysort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
DPE-MVScopyleft95.53 496.13 494.82 296.81 2398.05 497.42 193.09 194.31 991.49 797.12 195.03 393.27 395.55 694.58 1296.86 798.25 4
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
APDe-MVS95.23 595.69 694.70 597.12 1197.81 697.19 292.83 495.06 690.98 1196.47 292.77 1193.38 295.34 994.21 1696.68 1098.17 5
SED-MVS95.61 296.36 294.73 396.84 2098.15 397.08 392.92 295.64 391.84 595.98 495.33 192.83 796.00 194.94 396.90 598.45 3
DVP-MVS++95.79 196.42 195.06 197.84 298.17 297.03 492.84 396.68 192.83 395.90 594.38 492.90 595.98 294.85 596.93 498.99 1
MSP-MVS95.12 695.83 594.30 696.82 2297.94 596.98 592.37 1295.40 490.59 1496.16 393.71 692.70 894.80 1694.77 896.37 1597.99 8
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
TSAR-MVS + MP.94.48 1194.97 993.90 1495.53 3897.01 1696.69 690.71 2594.24 1090.92 1294.97 992.19 1693.03 494.83 1593.60 2796.51 1497.97 9
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
DVP-MVScopyleft95.56 396.26 394.73 396.93 1798.19 196.62 792.81 596.15 291.73 695.01 895.31 293.41 195.95 394.77 896.90 598.46 2
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
APD-MVScopyleft94.37 1294.47 1694.26 797.18 996.99 1796.53 892.68 692.45 2589.96 1894.53 1291.63 2192.89 694.58 2393.82 2396.31 1997.26 19
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
HPM-MVS++copyleft94.60 994.91 1194.24 897.86 196.53 3396.14 992.51 993.87 1690.76 1393.45 1993.84 592.62 995.11 1294.08 1995.58 5697.48 14
SteuartSystems-ACMMP94.06 1494.65 1293.38 2096.97 1697.36 996.12 1091.78 1592.05 2987.34 3194.42 1390.87 2591.87 2095.47 894.59 1196.21 2597.77 11
Skip Steuart: Steuart Systems R&D Blog.
CNVR-MVS94.37 1294.65 1294.04 1297.29 797.11 1196.00 1192.43 1193.45 1789.85 2090.92 2693.04 992.59 1095.77 594.82 696.11 2797.42 16
SMA-MVScopyleft94.70 795.35 793.93 1397.57 397.57 895.98 1291.91 1494.50 790.35 1593.46 1892.72 1291.89 1995.89 495.22 195.88 3398.10 6
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
ACMMP_NAP93.94 1694.49 1593.30 2197.03 1497.31 1095.96 1391.30 1993.41 1988.55 2593.00 2090.33 2991.43 2795.53 794.41 1495.53 5897.47 15
MCST-MVS93.81 1794.06 1993.53 1896.79 2496.85 2195.95 1491.69 1792.20 2787.17 3390.83 2893.41 791.96 1594.49 2693.50 3297.61 197.12 23
DPM-MVS91.72 3691.48 3692.00 3295.53 3895.75 4695.94 1591.07 2291.20 3585.58 4281.63 5890.74 2788.40 4893.40 4493.75 2595.45 6293.85 85
train_agg92.87 2693.53 2592.09 3196.88 1995.38 5095.94 1590.59 2990.65 3983.65 5294.31 1491.87 2090.30 3593.38 4592.42 5295.17 7596.73 32
NCCC93.69 2093.66 2393.72 1797.37 696.66 3095.93 1792.50 1093.40 2088.35 2687.36 3692.33 1592.18 1394.89 1494.09 1896.00 2996.91 27
zzz-MVS93.80 1893.45 2694.20 997.53 496.43 3795.88 1891.12 2194.09 1292.74 487.68 3490.77 2692.04 1494.74 2093.56 2995.91 3296.85 28
xxxxxxxxxxxxxcwj92.95 2591.88 3494.20 996.75 2597.07 1295.82 1992.60 793.98 1391.09 995.89 671.01 12991.93 1694.40 2993.56 2997.04 297.27 17
SF-MVS94.61 894.96 1094.20 996.75 2597.07 1295.82 1992.60 793.98 1391.09 995.89 692.54 1391.93 1694.40 2993.56 2997.04 297.27 17
HFP-MVS94.02 1594.22 1893.78 1597.25 896.85 2195.81 2190.94 2494.12 1190.29 1794.09 1589.98 3292.52 1193.94 3593.49 3495.87 3597.10 24
ACMMPR93.72 1993.94 2093.48 1997.07 1296.93 1895.78 2290.66 2793.88 1589.24 2293.53 1789.08 3992.24 1293.89 3793.50 3295.88 3396.73 32
SD-MVS94.53 1095.22 893.73 1695.69 3797.03 1595.77 2391.95 1394.41 891.35 894.97 993.34 891.80 2194.72 2193.99 2095.82 4098.07 7
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
PGM-MVS92.76 2793.03 2992.45 2997.03 1496.67 2995.73 2487.92 4390.15 4486.53 3792.97 2188.33 4591.69 2293.62 4393.03 4295.83 3996.41 39
CP-MVS93.25 2293.26 2793.24 2296.84 2096.51 3495.52 2590.61 2892.37 2688.88 2390.91 2789.52 3591.91 1893.64 4292.78 4895.69 4797.09 25
MP-MVScopyleft93.35 2193.59 2493.08 2497.39 596.82 2395.38 2690.71 2590.82 3788.07 2892.83 2290.29 3091.32 2894.03 3293.19 4195.61 5497.16 21
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
DeepC-MVS_fast88.76 193.10 2393.02 3093.19 2397.13 1096.51 3495.35 2791.19 2093.14 2288.14 2785.26 4289.49 3691.45 2495.17 1095.07 295.85 3896.48 36
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
X-MVS92.36 3192.75 3191.90 3496.89 1896.70 2695.25 2890.48 3091.50 3483.95 4988.20 3288.82 4189.11 4093.75 4093.43 3695.75 4596.83 30
DeepC-MVS87.86 392.26 3291.86 3592.73 2696.18 3096.87 2095.19 2991.76 1692.17 2886.58 3681.79 5485.85 5390.88 3394.57 2494.61 1095.80 4197.18 20
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
TSAR-MVS + ACMM92.97 2494.51 1491.16 3895.88 3596.59 3195.09 3090.45 3193.42 1883.01 5594.68 1190.74 2788.74 4494.75 1993.78 2493.82 13597.63 12
CPTT-MVS91.39 3890.95 4191.91 3395.06 4095.24 5495.02 3188.98 3791.02 3686.71 3584.89 4488.58 4491.60 2390.82 8789.67 9894.08 12296.45 37
CDPH-MVS91.14 4092.01 3390.11 4496.18 3096.18 4094.89 3288.80 3988.76 4977.88 8789.18 3187.71 4887.29 6393.13 4893.31 3995.62 5295.84 49
3Dnovator+86.06 491.60 3790.86 4392.47 2896.00 3496.50 3694.70 3387.83 4490.49 4089.92 1974.68 9389.35 3790.66 3494.02 3394.14 1795.67 4996.85 28
CSCG92.76 2793.16 2892.29 3096.30 2997.74 794.67 3488.98 3792.46 2489.73 2186.67 3892.15 1888.69 4592.26 6092.92 4695.40 6397.89 10
MVS_030490.88 4191.35 3990.34 4393.91 5396.79 2494.49 3586.54 5186.57 5782.85 5781.68 5789.70 3487.57 5894.64 2293.93 2196.67 1296.15 45
ACMMPcopyleft92.03 3492.16 3291.87 3595.88 3596.55 3294.47 3689.49 3491.71 3285.26 4391.52 2584.48 5990.21 3692.82 5491.63 5895.92 3196.42 38
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
OPM-MVS87.56 7085.80 8689.62 5193.90 5494.09 7494.12 3788.18 4075.40 13377.30 9076.41 8277.93 9488.79 4392.20 6290.82 6995.40 6393.72 89
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
3Dnovator85.17 590.48 4389.90 4991.16 3894.88 4495.74 4793.82 3885.36 5889.28 4687.81 2974.34 9687.40 4988.56 4693.07 4993.74 2696.53 1395.71 51
CANet91.33 3991.46 3791.18 3795.01 4196.71 2593.77 3987.39 4787.72 5287.26 3281.77 5589.73 3387.32 6294.43 2893.86 2296.31 1996.02 47
DELS-MVS89.71 4889.68 5289.74 4893.75 5596.22 3993.76 4085.84 5482.53 7885.05 4578.96 7184.24 6084.25 7894.91 1394.91 495.78 4496.02 47
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
MSLP-MVS++92.02 3591.40 3892.75 2596.01 3395.88 4593.73 4189.00 3589.89 4590.31 1681.28 6088.85 4091.45 2492.88 5394.24 1596.00 2996.76 31
TSAR-MVS + GP.92.71 2993.91 2191.30 3691.96 7396.00 4293.43 4287.94 4292.53 2386.27 4193.57 1691.94 1991.44 2693.29 4692.89 4796.78 897.15 22
LGP-MVS_train88.25 6488.55 5787.89 6992.84 6793.66 7993.35 4385.22 6085.77 6074.03 10286.60 3976.29 10186.62 6891.20 7490.58 7795.29 7195.75 50
HQP-MVS89.13 5589.58 5388.60 6293.53 5793.67 7893.29 4487.58 4688.53 5075.50 9287.60 3580.32 7787.07 6490.66 9389.95 9094.62 10196.35 42
PCF-MVS84.60 688.66 5787.75 7089.73 4993.06 6396.02 4193.22 4590.00 3282.44 8180.02 7477.96 7785.16 5687.36 6188.54 11688.54 12094.72 9595.61 54
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
PHI-MVS92.05 3393.74 2290.08 4594.96 4297.06 1493.11 4687.71 4590.71 3880.78 6992.40 2391.03 2387.68 5694.32 3194.48 1396.21 2596.16 44
AdaColmapbinary90.29 4488.38 6092.53 2796.10 3295.19 5592.98 4791.40 1889.08 4888.65 2478.35 7481.44 7291.30 2990.81 8890.21 8294.72 9593.59 91
EPNet89.60 4989.91 4889.24 5596.45 2893.61 8092.95 4888.03 4185.74 6183.36 5387.29 3783.05 6580.98 10092.22 6191.85 5693.69 14095.58 55
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CLD-MVS88.66 5788.52 5888.82 5891.37 8094.22 7192.82 4982.08 10188.27 5185.14 4481.86 5378.53 9185.93 7291.17 7690.61 7595.55 5795.00 62
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
QAPM89.49 5089.58 5389.38 5394.73 4695.94 4392.35 5085.00 6185.69 6280.03 7376.97 8187.81 4787.87 5392.18 6492.10 5496.33 1796.40 40
TSAR-MVS + COLMAP88.40 6089.09 5587.60 7392.72 6893.92 7792.21 5185.57 5791.73 3173.72 10391.75 2473.22 12187.64 5791.49 7089.71 9793.73 13891.82 127
abl_690.66 4194.65 4896.27 3892.21 5186.94 4990.23 4286.38 3885.50 4192.96 1088.37 4995.40 6395.46 57
DI_MVS_plusplus_trai86.41 7685.54 8887.42 7489.24 10893.13 8792.16 5382.65 9682.30 8280.75 7068.30 12980.41 7685.01 7590.56 9490.07 8594.70 9794.01 82
TAPA-MVS84.37 788.91 5688.93 5688.89 5793.00 6494.85 6392.00 5484.84 6291.68 3380.05 7279.77 6684.56 5888.17 5190.11 9789.00 11595.30 7092.57 113
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
XVS93.11 6196.70 2691.91 5583.95 4988.82 4195.79 42
X-MVStestdata93.11 6196.70 2691.91 5583.95 4988.82 4195.79 42
OMC-MVS90.23 4590.40 4690.03 4693.45 5895.29 5191.89 5786.34 5393.25 2184.94 4681.72 5686.65 5188.90 4191.69 6890.27 8194.65 9993.95 83
canonicalmvs89.36 5289.92 4788.70 6091.38 7995.92 4491.81 5882.61 9890.37 4182.73 5982.09 5279.28 8788.30 5091.17 7693.59 2895.36 6697.04 26
MVS_111021_HR90.56 4291.29 4089.70 5094.71 4795.63 4891.81 5886.38 5287.53 5381.29 6487.96 3385.43 5587.69 5593.90 3692.93 4596.33 1795.69 52
PLCcopyleft83.76 988.61 5986.83 7690.70 4094.22 5092.63 9891.50 6087.19 4889.16 4786.87 3475.51 8880.87 7489.98 3890.01 9889.20 10994.41 11490.45 148
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
ACMM83.27 1087.68 6986.09 8289.54 5293.26 5992.19 10491.43 6186.74 5086.02 5982.85 5775.63 8775.14 10488.41 4790.68 9289.99 8794.59 10292.97 98
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CS-MVS-test89.17 5489.90 4988.31 6789.96 10393.19 8691.34 6281.43 10684.69 7179.88 7582.62 5184.70 5790.97 3194.79 1792.96 4496.29 2296.34 43
DROMVSNet89.96 4790.77 4489.01 5690.54 9195.15 5691.34 6281.43 10685.27 6383.08 5482.83 4887.22 5090.97 3194.79 1793.38 3796.73 996.71 34
DeepPCF-MVS88.51 292.64 3094.42 1790.56 4294.84 4596.92 1991.31 6489.61 3395.16 584.55 4789.91 3091.45 2290.15 3795.12 1194.81 792.90 15497.58 13
ACMP83.90 888.32 6388.06 6388.62 6192.18 7193.98 7691.28 6585.24 5986.69 5681.23 6585.62 4075.13 10587.01 6689.83 10089.77 9594.79 8995.43 58
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
OpenMVScopyleft82.53 1187.71 6886.84 7588.73 5994.42 4995.06 5991.02 6683.49 8282.50 8082.24 6167.62 13385.48 5485.56 7391.19 7591.30 6195.67 4994.75 68
test_part183.23 10780.55 12986.35 7988.60 11590.61 11690.78 6781.13 11170.89 16483.01 5555.72 19274.60 10782.19 8987.79 12489.26 10692.39 15995.01 61
MAR-MVS88.39 6288.44 5988.33 6694.90 4395.06 5990.51 6883.59 7985.27 6379.07 7977.13 7982.89 6687.70 5492.19 6392.32 5394.23 11994.20 81
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
MVS_111021_LR90.14 4690.89 4289.26 5493.23 6094.05 7590.43 6984.65 6390.16 4384.52 4890.14 2983.80 6287.99 5292.50 5890.92 6794.74 9394.70 70
MVS_Test86.93 7387.24 7286.56 7790.10 10293.47 8290.31 7080.12 12383.55 7378.12 8379.58 6779.80 8285.45 7490.17 9690.59 7695.29 7193.53 92
ET-MVSNet_ETH3D84.65 9285.58 8783.56 11174.99 21292.62 10090.29 7180.38 11682.16 8373.01 11083.41 4571.10 12887.05 6587.77 12590.17 8395.62 5291.82 127
LS3D85.96 8084.37 9687.81 7094.13 5193.27 8590.26 7289.00 3584.91 6872.84 11171.74 10872.47 12387.45 6089.53 10689.09 11193.20 15089.60 151
CANet_DTU85.43 8387.72 7182.76 11890.95 8793.01 9189.99 7375.46 16982.67 7564.91 14983.14 4680.09 7980.68 10492.03 6691.03 6494.57 10492.08 121
casdiffmvs87.45 7187.15 7387.79 7290.15 10194.22 7189.96 7483.93 7385.08 6680.91 6675.81 8677.88 9586.08 7091.86 6790.86 6895.74 4694.37 74
Effi-MVS+85.33 8485.08 9085.63 8589.69 10593.42 8389.90 7580.31 12179.32 11072.48 11373.52 10274.03 11286.55 6990.99 8389.98 8894.83 8894.27 80
FMVSNet384.44 9784.64 9384.21 10084.32 16390.13 12589.85 7680.37 11781.17 9275.50 9269.63 11879.69 8479.62 12589.72 10290.52 7895.59 5591.58 136
GBi-Net84.51 9584.80 9184.17 10184.20 16489.95 12789.70 7780.37 11781.17 9275.50 9269.63 11879.69 8479.75 12290.73 8990.72 7095.52 5991.71 129
test184.51 9584.80 9184.17 10184.20 16489.95 12789.70 7780.37 11781.17 9275.50 9269.63 11879.69 8479.75 12290.73 8990.72 7095.52 5991.71 129
FMVSNet283.87 10083.73 10284.05 10584.20 16489.95 12789.70 7780.21 12279.17 11374.89 9765.91 13977.49 9679.75 12290.87 8691.00 6695.52 5991.71 129
diffmvs86.52 7586.76 7886.23 8088.31 11892.63 9889.58 8081.61 10586.14 5880.26 7179.00 7077.27 9783.58 7988.94 11289.06 11294.05 12494.29 76
CNLPA88.40 6087.00 7490.03 4693.73 5694.28 7089.56 8185.81 5591.87 3087.55 3069.53 12281.49 7189.23 3989.45 10788.59 11994.31 11893.82 86
CHOSEN 1792x268882.16 11580.91 12583.61 10991.14 8292.01 10589.55 8279.15 13779.87 10570.29 11852.51 20072.56 12281.39 9588.87 11488.17 12390.15 18492.37 120
ETV-MVS89.22 5389.76 5188.60 6291.60 7794.61 6789.48 8383.46 8585.20 6581.58 6282.75 4982.59 6788.80 4294.57 2493.28 4096.68 1095.31 59
DCV-MVSNet85.88 8286.17 8085.54 8789.10 11189.85 13289.34 8480.70 11483.04 7478.08 8576.19 8479.00 8882.42 8889.67 10390.30 8093.63 14395.12 60
MVSTER86.03 7986.12 8185.93 8388.62 11489.93 13089.33 8579.91 12881.87 8781.35 6381.07 6174.91 10680.66 10592.13 6590.10 8495.68 4892.80 103
test250685.20 8684.11 9886.47 7891.84 7495.28 5289.18 8684.49 6582.59 7675.34 9674.66 9458.07 18881.68 9393.76 3892.71 4996.28 2391.71 129
ECVR-MVScopyleft85.25 8584.47 9486.16 8191.84 7495.28 5289.18 8684.49 6582.59 7673.49 10566.12 13869.28 13781.68 9393.76 3892.71 4996.28 2391.58 136
MSDG83.87 10081.02 12287.19 7592.17 7289.80 13489.15 8885.72 5680.61 10179.24 7866.66 13668.75 14082.69 8487.95 12387.44 12994.19 12085.92 180
thres20082.77 11081.25 11984.54 9390.38 9693.05 8989.13 8982.67 9474.40 14069.53 12465.69 14363.03 16080.63 10691.15 7889.42 10394.88 8692.04 123
PVSNet_BlendedMVS88.19 6588.00 6588.42 6492.71 6994.82 6489.08 9083.81 7484.91 6886.38 3879.14 6878.11 9282.66 8593.05 5091.10 6295.86 3694.86 66
PVSNet_Blended88.19 6588.00 6588.42 6492.71 6994.82 6489.08 9083.81 7484.91 6886.38 3879.14 6878.11 9282.66 8593.05 5091.10 6295.86 3694.86 66
tfpn200view982.86 10881.46 11584.48 9490.30 9993.09 8889.05 9282.71 9275.14 13469.56 12265.72 14163.13 15780.38 11191.15 7889.51 10194.91 8592.50 117
Anonymous20240521182.75 10889.58 10692.97 9289.04 9384.13 7178.72 11557.18 18776.64 10083.13 8389.55 10589.92 9193.38 14894.28 79
thres100view90082.55 11381.01 12484.34 9690.30 9992.27 10289.04 9382.77 9175.14 13469.56 12265.72 14163.13 15779.62 12589.97 9989.26 10694.73 9491.61 135
CS-MVS89.44 5190.69 4587.99 6891.16 8194.56 6889.02 9580.75 11386.95 5579.62 7683.07 4785.88 5291.03 3094.49 2693.49 3496.37 1596.40 40
thres40082.68 11181.15 12084.47 9590.52 9292.89 9388.95 9682.71 9274.33 14169.22 12765.31 14662.61 16380.63 10690.96 8589.50 10294.79 8992.45 119
Anonymous2023121184.42 9883.02 10486.05 8288.85 11392.70 9688.92 9783.40 8779.99 10478.31 8255.83 19178.92 8983.33 8289.06 11189.76 9693.50 14594.90 64
EIA-MVS87.94 6788.05 6487.81 7091.46 7895.00 6188.67 9882.81 9082.53 7880.81 6880.04 6480.20 7887.48 5992.58 5791.61 5995.63 5194.36 75
FMVSNet181.64 12380.61 12782.84 11782.36 18989.20 14888.67 9879.58 13170.79 16572.63 11258.95 18272.26 12479.34 12890.73 8990.72 7094.47 11091.62 134
test111184.86 9184.21 9785.61 8691.75 7695.14 5788.63 10084.57 6481.88 8671.21 11465.66 14468.51 14181.19 9793.74 4192.68 5196.31 1991.86 126
baseline184.54 9484.43 9584.67 9290.62 8991.16 11188.63 10083.75 7679.78 10671.16 11575.14 9074.10 11177.84 13991.56 6990.67 7496.04 2888.58 157
thres600view782.53 11481.02 12284.28 9990.61 9093.05 8988.57 10282.67 9474.12 14468.56 13065.09 14962.13 16880.40 11091.15 7889.02 11494.88 8692.59 111
PVSNet_Blended_VisFu87.40 7287.80 6786.92 7692.86 6595.40 4988.56 10383.45 8679.55 10982.26 6074.49 9584.03 6179.24 13092.97 5291.53 6095.15 7796.65 35
GeoE84.62 9383.98 10085.35 8889.34 10792.83 9488.34 10478.95 13879.29 11177.16 9168.10 13074.56 10883.40 8189.31 10989.23 10894.92 8494.57 73
HyFIR lowres test81.62 12579.45 14584.14 10391.00 8593.38 8488.27 10578.19 14676.28 12770.18 12048.78 20473.69 11683.52 8087.05 13287.83 12793.68 14189.15 154
Vis-MVSNetpermissive84.38 9986.68 7981.70 12887.65 12594.89 6288.14 10680.90 11274.48 13968.23 13177.53 7880.72 7569.98 17892.68 5591.90 5595.33 6994.58 72
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
Fast-Effi-MVS+83.77 10282.98 10584.69 9187.98 11991.87 10688.10 10777.70 15278.10 11973.04 10969.13 12468.51 14186.66 6790.49 9589.85 9394.67 9892.88 100
MS-PatchMatch81.79 12181.44 11682.19 12590.35 9789.29 14688.08 10875.36 17077.60 12169.00 12864.37 15578.87 9077.14 14588.03 12285.70 15993.19 15186.24 177
baseline84.89 9086.06 8383.52 11287.25 12989.67 13987.76 10975.68 16884.92 6778.40 8180.10 6380.98 7380.20 11486.69 14187.05 13591.86 16692.99 97
UA-Net86.07 7887.78 6884.06 10492.85 6695.11 5887.73 11084.38 6773.22 15373.18 10779.99 6589.22 3871.47 17493.22 4793.03 4294.76 9290.69 143
FC-MVSNet-train85.18 8785.31 8985.03 9090.67 8891.62 10887.66 11183.61 7779.75 10774.37 10078.69 7271.21 12778.91 13191.23 7289.96 8994.96 8394.69 71
UGNet85.90 8188.23 6183.18 11488.96 11294.10 7387.52 11283.60 7881.66 8977.90 8680.76 6283.19 6466.70 19191.13 8190.71 7394.39 11596.06 46
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
IS_MVSNet86.18 7788.18 6283.85 10791.02 8494.72 6687.48 11382.46 9981.05 9670.28 11976.98 8082.20 7076.65 14693.97 3493.38 3795.18 7494.97 63
CostFormer80.94 12880.21 13281.79 12787.69 12388.58 15887.47 11470.66 18580.02 10377.88 8773.03 10371.40 12678.24 13579.96 19579.63 19188.82 19088.84 155
CDS-MVSNet81.63 12482.09 11181.09 13787.21 13090.28 12187.46 11580.33 12069.06 17470.66 11671.30 10973.87 11367.99 18489.58 10489.87 9292.87 15590.69 143
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
gg-mvs-nofinetune75.64 18677.26 16573.76 19187.92 12092.20 10387.32 11664.67 20951.92 21535.35 21946.44 20777.05 9971.97 17192.64 5691.02 6595.34 6889.53 152
EPNet_dtu81.98 11783.82 10179.83 15094.10 5285.97 17587.29 11784.08 7280.61 10159.96 18281.62 5977.19 9862.91 19887.21 12986.38 14890.66 18087.77 168
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
v1079.62 14078.19 15581.28 13583.73 17089.69 13887.27 11876.86 15970.50 16865.46 14360.58 17260.47 17380.44 10986.91 13386.63 14393.93 12892.55 114
EPP-MVSNet86.55 7487.76 6985.15 8990.52 9294.41 6987.24 11982.32 10081.79 8873.60 10478.57 7382.41 6882.07 9191.23 7290.39 7995.14 7895.48 56
thisisatest053085.15 8885.86 8484.33 9789.19 11092.57 10187.22 12080.11 12482.15 8474.41 9978.15 7573.80 11579.90 11890.99 8389.58 9995.13 7993.75 88
v2v48279.84 13778.07 15781.90 12683.75 16990.21 12487.17 12179.85 12970.65 16665.93 14161.93 16260.07 17580.82 10185.25 16186.71 14093.88 13291.70 133
v879.90 13678.39 15381.66 12983.97 16889.81 13387.16 12277.40 15471.49 15967.71 13261.24 16562.49 16479.83 12185.48 15986.17 15193.89 13192.02 125
v114479.38 14677.83 16081.18 13683.62 17190.23 12287.15 12378.35 14569.13 17364.02 15460.20 17459.41 18280.14 11686.78 13786.57 14493.81 13692.53 116
tttt051785.11 8985.81 8584.30 9889.24 10892.68 9787.12 12480.11 12481.98 8574.31 10178.08 7673.57 11779.90 11891.01 8289.58 9995.11 8193.77 87
TDRefinement79.05 14977.05 16881.39 13288.45 11689.00 15386.92 12582.65 9674.21 14364.41 15059.17 17959.16 18474.52 16085.23 16285.09 16491.37 17287.51 169
v119278.94 15077.33 16480.82 13983.25 17589.90 13186.91 12677.72 15168.63 17762.61 16359.17 17957.53 19180.62 10886.89 13486.47 14693.79 13792.75 106
Effi-MVS+-dtu82.05 11681.76 11282.38 12287.72 12290.56 11786.90 12778.05 14873.85 14766.85 13671.29 11071.90 12582.00 9286.64 14285.48 16192.76 15692.58 112
IterMVS-LS83.28 10682.95 10683.65 10888.39 11788.63 15786.80 12878.64 14376.56 12573.43 10672.52 10775.35 10380.81 10286.43 14788.51 12193.84 13492.66 108
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
V4279.59 14178.43 15280.94 13882.79 18589.71 13786.66 12976.73 16171.38 16067.42 13361.01 16762.30 16678.39 13485.56 15786.48 14593.65 14292.60 110
USDC80.69 12979.89 13881.62 13086.48 13689.11 15186.53 13078.86 14081.15 9563.48 15772.98 10459.12 18681.16 9887.10 13085.01 16593.23 14984.77 185
v14419278.81 15177.22 16680.67 14182.95 18089.79 13586.40 13177.42 15368.26 17963.13 15959.50 17758.13 18780.08 11785.93 15186.08 15394.06 12392.83 102
v192192078.57 15676.99 16980.41 14682.93 18189.63 14186.38 13277.14 15668.31 17861.80 17158.89 18356.79 19480.19 11586.50 14686.05 15594.02 12592.76 105
ACMH+79.08 1381.84 12080.06 13583.91 10689.92 10490.62 11586.21 13383.48 8473.88 14665.75 14266.38 13765.30 15184.63 7685.90 15287.25 13293.45 14691.13 141
COLMAP_ROBcopyleft76.78 1580.50 13178.49 15082.85 11690.96 8689.65 14086.20 13483.40 8777.15 12366.54 13762.27 16065.62 15077.89 13885.23 16284.70 16992.11 16284.83 184
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
UniMVSNet_ETH3D79.24 14776.47 17382.48 12185.66 14590.97 11286.08 13581.63 10464.48 19468.94 12954.47 19457.65 19078.83 13285.20 16588.91 11693.72 13993.60 90
Fast-Effi-MVS+-dtu79.95 13580.69 12679.08 15386.36 13789.14 15085.85 13672.28 17972.85 15659.32 18570.43 11668.42 14377.57 14086.14 14986.44 14793.11 15291.39 139
tpm cat177.78 16275.28 18880.70 14087.14 13185.84 17785.81 13770.40 18677.44 12278.80 8063.72 15664.01 15676.55 14775.60 20775.21 20585.51 20785.12 182
UniMVSNet_NR-MVSNet81.87 11881.33 11882.50 12085.31 15091.30 10985.70 13884.25 6875.89 12964.21 15166.95 13564.65 15380.22 11287.07 13189.18 11095.27 7394.29 76
DU-MVS81.20 12780.30 13182.25 12384.98 15790.94 11385.70 13883.58 8075.74 13064.21 15165.30 14759.60 18180.22 11286.89 13489.31 10494.77 9194.29 76
NR-MVSNet80.25 13379.98 13780.56 14385.20 15290.94 11385.65 14083.58 8075.74 13061.36 17565.30 14756.75 19572.38 17088.46 11888.80 11795.16 7693.87 84
ACMH78.52 1481.86 11980.45 13083.51 11390.51 9491.22 11085.62 14184.23 6970.29 17062.21 16569.04 12664.05 15584.48 7787.57 12788.45 12294.01 12692.54 115
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
v124078.15 15876.53 17280.04 14782.85 18489.48 14485.61 14276.77 16067.05 18161.18 17858.37 18556.16 19879.89 12086.11 15086.08 15393.92 12992.47 118
TranMVSNet+NR-MVSNet80.52 13079.84 13981.33 13484.92 15990.39 11985.53 14384.22 7074.27 14260.68 18064.93 15159.96 17677.48 14186.75 13989.28 10595.12 8093.29 93
CHOSEN 280x42080.28 13281.66 11378.67 15982.92 18279.24 20985.36 14466.79 20178.11 11870.32 11775.03 9279.87 8081.09 9989.07 11083.16 17985.54 20687.17 170
Baseline_NR-MVSNet79.84 13778.37 15481.55 13184.98 15786.66 17185.06 14583.49 8275.57 13263.31 15858.22 18660.97 17178.00 13786.89 13487.13 13394.47 11093.15 95
pmmvs479.99 13478.08 15682.22 12483.04 17987.16 16984.95 14678.80 14278.64 11674.53 9864.61 15359.41 18279.45 12784.13 17584.54 17292.53 15888.08 163
UniMVSNet (Re)81.22 12681.08 12181.39 13285.35 14991.76 10784.93 14782.88 8976.13 12865.02 14864.94 15063.09 15975.17 15487.71 12689.04 11394.97 8294.88 65
baseline282.80 10982.86 10782.73 11987.68 12490.50 11884.92 14878.93 13978.07 12073.06 10875.08 9169.77 13477.31 14288.90 11386.94 13794.50 10790.74 142
Vis-MVSNet (Re-imp)83.65 10386.81 7779.96 14890.46 9592.71 9584.84 14982.00 10280.93 9862.44 16476.29 8382.32 6965.54 19492.29 5991.66 5794.49 10991.47 138
RPSCF83.46 10483.36 10383.59 11087.75 12187.35 16684.82 15079.46 13383.84 7278.12 8382.69 5079.87 8082.60 8782.47 18681.13 18988.78 19186.13 178
GA-MVS79.52 14279.71 14279.30 15285.68 14490.36 12084.55 15178.44 14470.47 16957.87 19068.52 12861.38 16976.21 14889.40 10887.89 12493.04 15389.96 150
IterMVS78.79 15279.71 14277.71 16585.26 15185.91 17684.54 15269.84 19173.38 15261.25 17670.53 11470.35 13174.43 16185.21 16483.80 17690.95 17888.77 156
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
PatchMatch-RL83.34 10581.36 11785.65 8490.33 9889.52 14284.36 15381.82 10380.87 10079.29 7774.04 9762.85 16286.05 7188.40 11987.04 13692.04 16386.77 173
tfpnnormal77.46 16574.86 19080.49 14486.34 13888.92 15484.33 15481.26 10961.39 20261.70 17251.99 20153.66 20774.84 15788.63 11587.38 13194.50 10792.08 121
MDTV_nov1_ep1379.14 14879.49 14478.74 15885.40 14886.89 17084.32 15570.29 18778.85 11469.42 12575.37 8973.29 12075.64 15180.61 19279.48 19387.36 19781.91 194
IterMVS-SCA-FT79.41 14580.20 13378.49 16185.88 14086.26 17383.95 15671.94 18073.55 15161.94 16870.48 11570.50 13075.23 15285.81 15484.61 17191.99 16590.18 149
tpm76.30 17976.05 17976.59 17486.97 13283.01 19483.83 15767.06 20071.83 15863.87 15569.56 12162.88 16173.41 16779.79 19678.59 19584.41 20886.68 174
PatchmatchNetpermissive78.67 15478.85 14878.46 16286.85 13486.03 17483.77 15868.11 19780.88 9966.19 13972.90 10573.40 11978.06 13679.25 19977.71 19987.75 19681.75 195
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
v14878.59 15576.84 17180.62 14283.61 17289.16 14983.65 15979.24 13669.38 17269.34 12659.88 17660.41 17475.19 15383.81 17784.63 17092.70 15790.63 145
pm-mvs178.51 15777.75 16279.40 15184.83 16089.30 14583.55 16079.38 13462.64 19863.68 15658.73 18464.68 15270.78 17789.79 10187.84 12594.17 12191.28 140
PMMVS81.65 12284.05 9978.86 15578.56 20382.63 19783.10 16167.22 19981.39 9070.11 12184.91 4379.74 8382.12 9087.31 12885.70 15992.03 16486.67 176
SCA79.51 14380.15 13478.75 15786.58 13587.70 16383.07 16268.53 19481.31 9166.40 13873.83 9875.38 10279.30 12980.49 19379.39 19488.63 19382.96 192
tpmrst76.55 17375.99 18077.20 16887.32 12883.05 19382.86 16365.62 20478.61 11767.22 13569.19 12365.71 14975.87 15076.75 20575.33 20484.31 20983.28 190
dps78.02 15975.94 18180.44 14586.06 13986.62 17282.58 16469.98 18975.14 13477.76 8969.08 12559.93 17778.47 13379.47 19777.96 19887.78 19583.40 189
TransMVSNet (Re)76.57 17275.16 18978.22 16485.60 14687.24 16782.46 16581.23 11059.80 20659.05 18857.07 18859.14 18566.60 19288.09 12186.82 13894.37 11687.95 166
EG-PatchMatch MVS76.40 17775.47 18677.48 16785.86 14290.22 12382.45 16673.96 17559.64 20759.60 18452.75 19962.20 16768.44 18388.23 12087.50 12894.55 10587.78 167
LTVRE_ROB74.41 1675.78 18574.72 19177.02 17185.88 14089.22 14782.44 16777.17 15550.57 21645.45 21065.44 14552.29 20981.25 9685.50 15887.42 13089.94 18692.62 109
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
TinyColmap76.73 16973.95 19379.96 14885.16 15485.64 18082.34 16878.19 14670.63 16762.06 16760.69 17149.61 21280.81 10285.12 16683.69 17791.22 17682.27 193
CR-MVSNet78.71 15378.86 14778.55 16085.85 14385.15 18482.30 16968.23 19574.71 13765.37 14564.39 15469.59 13677.18 14385.10 16784.87 16692.34 16188.21 161
Patchmtry85.54 18282.30 16968.23 19565.37 145
v7n77.22 16676.23 17678.38 16381.89 19289.10 15282.24 17176.36 16265.96 18861.21 17756.56 18955.79 19975.07 15686.55 14386.68 14193.52 14492.95 99
EPMVS77.53 16478.07 15776.90 17286.89 13384.91 18782.18 17266.64 20281.00 9764.11 15372.75 10669.68 13574.42 16279.36 19878.13 19787.14 19980.68 201
CVMVSNet76.70 17078.46 15174.64 18983.34 17484.48 18881.83 17374.58 17168.88 17551.23 20369.77 11770.05 13267.49 18784.27 17483.81 17589.38 18887.96 165
RPMNet77.07 16777.63 16376.42 17585.56 14785.15 18481.37 17465.27 20674.71 13760.29 18163.71 15766.59 14773.64 16482.71 18482.12 18692.38 16088.39 159
FMVSNet575.50 18776.07 17774.83 18676.16 20881.19 20381.34 17570.21 18873.20 15461.59 17358.97 18168.33 14468.50 18285.87 15385.85 15791.18 17779.11 204
pmmvs576.93 16876.33 17577.62 16681.97 19188.40 16081.32 17674.35 17365.42 19261.42 17463.07 15857.95 18973.23 16885.60 15685.35 16393.41 14788.55 158
test-LLR79.47 14479.84 13979.03 15487.47 12682.40 20081.24 17778.05 14873.72 14862.69 16173.76 9974.42 10973.49 16584.61 17182.99 18191.25 17487.01 171
TESTMET0.1,177.78 16279.84 13975.38 18380.86 19882.40 20081.24 17762.72 21273.72 14862.69 16173.76 9974.42 10973.49 16584.61 17182.99 18191.25 17487.01 171
MIMVSNet74.69 19075.60 18573.62 19276.02 21085.31 18381.21 17967.43 19871.02 16259.07 18754.48 19364.07 15466.14 19386.52 14586.64 14291.83 16781.17 198
IB-MVS79.09 1282.60 11282.19 11083.07 11591.08 8393.55 8180.90 18081.35 10876.56 12580.87 6764.81 15269.97 13368.87 18185.64 15590.06 8695.36 6694.74 69
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
pmmvs674.83 18972.89 19677.09 16982.11 19087.50 16580.88 18176.97 15752.79 21461.91 17046.66 20660.49 17269.28 18086.74 14085.46 16291.39 17190.56 146
TAMVS76.42 17577.16 16775.56 18183.05 17885.55 18180.58 18271.43 18265.40 19361.04 17967.27 13469.22 13967.99 18484.88 16984.78 16889.28 18983.01 191
test-mter77.79 16180.02 13675.18 18481.18 19782.85 19580.52 18362.03 21373.62 15062.16 16673.55 10173.83 11473.81 16384.67 17083.34 17891.37 17288.31 160
PEN-MVS76.02 18176.07 17775.95 18083.17 17787.97 16179.65 18480.07 12766.57 18451.45 20160.94 16855.47 20066.81 19082.72 18386.80 13994.59 10292.03 124
anonymousdsp77.94 16079.00 14676.71 17379.03 20187.83 16279.58 18572.87 17765.80 18958.86 18965.82 14062.48 16575.99 14986.77 13888.66 11893.92 12995.68 53
thisisatest051579.76 13980.59 12878.80 15684.40 16288.91 15579.48 18676.94 15872.29 15767.33 13467.82 13265.99 14870.80 17688.50 11787.84 12593.86 13392.75 106
CP-MVSNet76.36 17876.41 17476.32 17782.73 18688.64 15679.39 18779.62 13067.21 18053.70 19560.72 17055.22 20167.91 18683.52 17986.34 14994.55 10593.19 94
GG-mvs-BLEND57.56 21082.61 10928.34 2180.22 22690.10 12679.37 1880.14 22479.56 1080.40 22771.25 11183.40 630.30 22486.27 14883.87 17489.59 18783.83 187
ADS-MVSNet74.53 19175.69 18473.17 19481.57 19580.71 20579.27 18963.03 21179.27 11259.94 18367.86 13168.32 14571.08 17577.33 20376.83 20184.12 21179.53 202
PS-CasMVS75.90 18375.86 18275.96 17982.59 18788.46 15979.23 19079.56 13266.00 18752.77 19759.48 17854.35 20567.14 18983.37 18086.23 15094.47 11093.10 96
MDTV_nov1_ep13_2view73.21 19572.91 19573.56 19380.01 19984.28 19078.62 19166.43 20368.64 17659.12 18660.39 17359.69 18069.81 17978.82 20177.43 20087.36 19781.11 199
pmmvs-eth3d74.32 19271.96 19877.08 17077.33 20682.71 19678.41 19276.02 16666.65 18365.98 14054.23 19649.02 21473.14 16982.37 18782.69 18391.61 16986.05 179
WR-MVS_H75.84 18476.93 17074.57 19082.86 18389.50 14378.34 19379.36 13566.90 18252.51 19860.20 17459.71 17859.73 20083.61 17885.77 15894.65 9992.84 101
WR-MVS76.63 17178.02 15975.02 18584.14 16789.76 13678.34 19380.64 11569.56 17152.32 19961.26 16461.24 17060.66 19984.45 17387.07 13493.99 12792.77 104
DTE-MVSNet75.14 18875.44 18774.80 18783.18 17687.19 16878.25 19580.11 12466.05 18648.31 20660.88 16954.67 20264.54 19582.57 18586.17 15194.43 11390.53 147
PM-MVS74.17 19373.10 19475.41 18276.07 20982.53 19877.56 19671.69 18171.04 16161.92 16961.23 16647.30 21574.82 15881.78 18979.80 19090.42 18188.05 164
our_test_381.81 19383.96 19176.61 197
test0.0.03 176.03 18078.51 14973.12 19587.47 12685.13 18676.32 19878.05 14873.19 15550.98 20470.64 11269.28 13755.53 20285.33 16084.38 17390.39 18281.63 196
CMPMVSbinary56.49 1773.84 19471.73 20076.31 17885.20 15285.67 17975.80 19973.23 17662.26 19965.40 14453.40 19859.70 17971.77 17380.25 19479.56 19286.45 20381.28 197
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
SixPastTwentyTwo76.02 18175.72 18376.36 17683.38 17387.54 16475.50 20076.22 16365.50 19157.05 19170.64 11253.97 20674.54 15980.96 19182.12 18691.44 17089.35 153
FC-MVSNet-test76.53 17481.62 11470.58 19984.99 15685.73 17874.81 20178.85 14177.00 12439.13 21775.90 8573.50 11854.08 20686.54 14485.99 15691.65 16886.68 174
Anonymous2023120670.80 19870.59 20271.04 19881.60 19482.49 19974.64 20275.87 16764.17 19549.27 20544.85 21053.59 20854.68 20583.07 18182.34 18590.17 18383.65 188
pmnet_mix0271.95 19671.83 19972.10 19681.40 19680.63 20673.78 20372.85 17870.90 16354.89 19362.17 16157.42 19262.92 19776.80 20473.98 20886.74 20280.87 200
testgi71.92 19774.20 19269.27 20184.58 16183.06 19273.40 20474.39 17264.04 19646.17 20968.90 12757.15 19348.89 21084.07 17683.08 18088.18 19479.09 205
EU-MVSNet69.98 20072.30 19767.28 20475.67 21179.39 20873.12 20569.94 19063.59 19742.80 21362.93 15956.71 19655.07 20479.13 20078.55 19687.06 20085.82 181
FPMVS63.63 20760.08 21267.78 20380.01 19971.50 21572.88 20669.41 19361.82 20153.11 19645.12 20942.11 21950.86 20866.69 21263.84 21380.41 21369.46 213
PatchT76.42 17577.81 16174.80 18778.46 20484.30 18971.82 20765.03 20873.89 14565.37 14561.58 16366.70 14677.18 14385.10 16784.87 16690.94 17988.21 161
N_pmnet66.85 20366.63 20467.11 20578.73 20274.66 21370.53 20871.07 18366.46 18546.54 20851.68 20251.91 21055.48 20374.68 20872.38 20980.29 21474.65 210
MDA-MVSNet-bldmvs66.22 20464.49 20768.24 20261.67 21682.11 20270.07 20976.16 16459.14 20847.94 20754.35 19535.82 22267.33 18864.94 21475.68 20386.30 20479.36 203
MIMVSNet165.00 20566.24 20663.55 20858.41 21980.01 20769.00 21074.03 17455.81 21241.88 21436.81 21549.48 21347.89 21181.32 19082.40 18490.08 18577.88 206
test20.0368.31 20270.05 20366.28 20682.41 18880.84 20467.35 21176.11 16558.44 20940.80 21653.77 19754.54 20342.28 21383.07 18181.96 18888.73 19277.76 207
MVS-HIRNet68.83 20166.39 20571.68 19777.58 20575.52 21266.45 21265.05 20762.16 20062.84 16044.76 21156.60 19771.96 17278.04 20275.06 20686.18 20572.56 211
pmmvs361.89 20861.74 21062.06 20964.30 21570.83 21664.22 21352.14 21748.78 21844.47 21141.67 21341.70 22063.03 19676.06 20676.02 20284.18 21077.14 208
new-patchmatchnet63.80 20663.31 20864.37 20776.49 20775.99 21163.73 21470.99 18457.27 21043.08 21245.86 20843.80 21645.13 21273.20 20970.68 21286.80 20176.34 209
ambc61.92 20970.98 21473.54 21463.64 21560.06 20452.23 20038.44 21419.17 22557.12 20182.33 18875.03 20783.21 21284.89 183
new_pmnet59.28 20961.47 21156.73 21161.66 21768.29 21759.57 21654.91 21460.83 20334.38 22044.66 21243.65 21749.90 20971.66 21071.56 21179.94 21569.67 212
gm-plane-assit70.29 19970.65 20169.88 20085.03 15578.50 21058.41 21765.47 20550.39 21740.88 21549.60 20350.11 21175.14 15591.43 7189.78 9494.32 11784.73 186
PMVScopyleft50.48 1855.81 21151.93 21360.33 21072.90 21349.34 21948.78 21869.51 19243.49 21954.25 19436.26 21641.04 22139.71 21565.07 21360.70 21476.85 21667.58 214
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
DeepMVS_CXcopyleft48.31 22148.03 21926.08 22056.42 21125.77 22247.51 20531.31 22351.30 20748.49 21853.61 22061.52 215
test_method41.78 21348.10 21434.42 21610.74 22519.78 22644.64 22017.73 22159.83 20538.67 21835.82 21754.41 20434.94 21662.87 21543.13 21859.81 21960.82 216
Gipumacopyleft49.17 21247.05 21551.65 21259.67 21848.39 22041.98 22163.47 21055.64 21333.33 22114.90 21913.78 22641.34 21469.31 21172.30 21070.11 21755.00 218
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMMVS241.68 21444.74 21638.10 21346.97 22252.32 21840.63 22248.08 21835.51 2207.36 22626.86 21824.64 22416.72 22055.24 21759.03 21568.85 21859.59 217
tmp_tt32.73 21743.96 22321.15 22526.71 2238.99 22265.67 19051.39 20256.01 19042.64 21811.76 22156.60 21650.81 21753.55 221
E-PMN31.40 21526.80 21836.78 21451.39 22129.96 22320.20 22454.17 21525.93 22212.75 22414.73 2208.58 22834.10 21827.36 22037.83 21948.07 22243.18 220
EMVS30.49 21725.44 21936.39 21551.47 22029.89 22420.17 22554.00 21626.49 22112.02 22513.94 2228.84 22734.37 21725.04 22134.37 22046.29 22339.53 221
MVEpermissive30.17 1930.88 21633.52 21727.80 21923.78 22439.16 22218.69 22646.90 21921.88 22315.39 22314.37 2217.31 22924.41 21941.63 21956.22 21637.64 22454.07 219
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
Patchmatch-RL test8.55 227
testmvs1.03 2181.63 2200.34 2200.09 2270.35 2270.61 2280.16 2231.49 2240.10 2283.15 2230.15 2300.86 2231.32 2221.18 2210.20 2253.76 223
test1230.87 2191.40 2210.25 2210.03 2280.25 2280.35 2290.08 2251.21 2250.05 2292.84 2240.03 2310.89 2220.43 2231.16 2220.13 2263.87 222
uanet_test0.00 2200.00 2220.00 2220.00 2290.00 2290.00 2300.00 2260.00 2260.00 2300.00 2250.00 2320.00 2250.00 2240.00 2230.00 2270.00 224
sosnet-low-res0.00 2200.00 2220.00 2220.00 2290.00 2290.00 2300.00 2260.00 2260.00 2300.00 2250.00 2320.00 2250.00 2240.00 2230.00 2270.00 224
sosnet0.00 2200.00 2220.00 2220.00 2290.00 2290.00 2300.00 2260.00 2260.00 2300.00 2250.00 2320.00 2250.00 2240.00 2230.00 2270.00 224
RE-MVS-def56.08 192
9.1492.16 17
SR-MVS96.58 2790.99 2392.40 14
MTAPA92.97 291.03 23
MTMP93.14 190.21 31
mPP-MVS97.06 1388.08 46
NP-MVS87.47 54