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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
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
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
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-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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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).
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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)
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
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
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
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
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
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
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)
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
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
our_test_381.81 19383.96 19176.61 197
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
MTAPA92.97 291.03 23
MTMP93.14 190.21 31
Patchmatch-RL test8.55 227
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
mPP-MVS97.06 1388.08 46
NP-MVS87.47 54
Patchmtry85.54 18282.30 16968.23 19565.37 145
DeepMVS_CXcopyleft48.31 22148.03 21926.08 22056.42 21125.77 22247.51 20531.31 22351.30 20748.49 21853.61 22061.52 215