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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
LCM-MVSNet99.43 199.49 199.24 199.95 198.13 199.37 199.57 199.82 199.86 199.85 199.52 199.73 197.58 199.94 199.85 1
LTVRE_ROB93.87 197.93 298.16 297.26 2698.81 2593.86 3299.07 298.98 597.01 1398.92 498.78 1495.22 3798.61 18096.85 299.77 1099.31 27
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
UniMVSNet_ETH3D97.13 697.72 395.35 8999.51 287.38 13697.70 897.54 11198.16 298.94 299.33 297.84 499.08 10090.73 13099.73 1499.59 12
TDRefinement97.68 397.60 497.93 299.02 1295.95 598.61 398.81 897.41 1097.28 4998.46 2594.62 5898.84 13894.64 1799.53 3598.99 55
PS-CasMVS96.69 2097.43 594.49 13199.13 684.09 19796.61 2897.97 7697.91 598.64 1398.13 3495.24 3699.65 393.39 6199.84 399.72 2
DTE-MVSNet96.74 1797.43 594.67 11899.13 684.68 18796.51 3297.94 8298.14 398.67 1298.32 2995.04 4599.69 293.27 6799.82 899.62 10
ACMH88.36 1296.59 2797.43 594.07 14498.56 3885.33 18196.33 4498.30 2494.66 4098.72 898.30 3097.51 598.00 23594.87 1499.59 2798.86 75
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PEN-MVS96.69 2097.39 894.61 12099.16 484.50 18896.54 3198.05 6198.06 498.64 1398.25 3195.01 4899.65 392.95 8099.83 699.68 4
pmmvs696.80 1397.36 995.15 10199.12 887.82 13196.68 2697.86 8496.10 2698.14 2499.28 397.94 398.21 21791.38 12199.69 1599.42 19
v7n96.82 1097.31 1095.33 9198.54 4386.81 15096.83 2098.07 5796.59 2098.46 1798.43 2792.91 9599.52 1796.25 699.76 1199.65 8
UA-Net97.35 497.24 1197.69 598.22 7093.87 3198.42 698.19 3696.95 1495.46 13199.23 493.45 7699.57 1395.34 1299.89 299.63 9
Anonymous2023121196.60 2597.13 1295.00 10597.46 12486.35 16597.11 1698.24 3197.58 898.72 898.97 793.15 8799.15 8993.18 7099.74 1399.50 16
abl_697.31 597.12 1397.86 398.54 4395.32 796.61 2898.35 2095.81 3197.55 3797.44 6896.51 999.40 4594.06 3099.23 7998.85 78
WR-MVS_H96.60 2597.05 1495.24 9799.02 1286.44 16196.78 2498.08 5497.42 998.48 1697.86 4991.76 12299.63 694.23 2699.84 399.66 6
HPM-MVS_fast97.01 796.89 1597.39 2299.12 893.92 2997.16 1298.17 4193.11 7296.48 8097.36 7596.92 699.34 6494.31 2399.38 5598.92 69
ACMH+88.43 1196.48 3096.82 1695.47 8698.54 4389.06 10295.65 7298.61 1196.10 2698.16 2397.52 6396.90 798.62 17990.30 14399.60 2598.72 93
CP-MVSNet96.19 4696.80 1794.38 13798.99 1483.82 20096.31 4697.53 11397.60 798.34 1997.52 6391.98 11799.63 693.08 7699.81 999.70 3
OurMVSNet-221017-096.80 1396.75 1896.96 3699.03 1191.85 5997.98 798.01 7094.15 5298.93 399.07 588.07 18699.57 1395.86 999.69 1599.46 18
mvs_tets96.83 996.71 1997.17 2798.83 2392.51 5096.58 3097.61 10687.57 20698.80 798.90 996.50 1099.59 1296.15 799.47 3999.40 21
RE-MVS-def96.66 2098.07 7995.27 896.37 4198.12 4795.66 3397.00 5997.03 9695.40 2793.49 4898.84 12798.00 154
APD-MVS_3200maxsize96.82 1096.65 2197.32 2597.95 9293.82 3496.31 4698.25 2895.51 3596.99 6197.05 9595.63 2199.39 5093.31 6498.88 12298.75 87
APDe-MVS96.46 3296.64 2295.93 6397.68 10989.38 9996.90 1998.41 1792.52 7997.43 4497.92 4595.11 4299.50 1994.45 1999.30 6598.92 69
HPM-MVScopyleft96.81 1296.62 2397.36 2498.89 1993.53 3997.51 998.44 1392.35 8495.95 10896.41 13896.71 899.42 3193.99 3399.36 5699.13 40
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
COLMAP_ROBcopyleft91.06 596.75 1696.62 2397.13 2898.38 5994.31 1796.79 2398.32 2196.69 1796.86 6697.56 6095.48 2598.77 15690.11 15299.44 4598.31 129
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
SR-MVS-dyc-post96.84 896.60 2597.56 1098.07 7995.27 896.37 4198.12 4795.66 3397.00 5997.03 9694.85 5299.42 3193.49 4898.84 12798.00 154
nrg03096.32 4196.55 2695.62 8097.83 9688.55 11595.77 6798.29 2792.68 7598.03 2697.91 4695.13 4098.95 12393.85 3699.49 3899.36 24
test117296.79 1596.52 2797.60 998.03 8594.87 1096.07 5698.06 6095.76 3296.89 6496.85 10894.85 5299.42 3193.35 6398.81 13598.53 114
test_djsdf96.62 2396.49 2897.01 3398.55 4191.77 6197.15 1397.37 12188.98 17498.26 2298.86 1093.35 8199.60 896.41 499.45 4399.66 6
SR-MVS96.70 1996.42 2997.54 1198.05 8194.69 1196.13 5398.07 5795.17 3796.82 6896.73 12095.09 4499.43 3092.99 7998.71 14498.50 116
anonymousdsp96.74 1796.42 2997.68 798.00 8894.03 2696.97 1797.61 10687.68 20398.45 1898.77 1594.20 6799.50 1996.70 399.40 5399.53 14
jajsoiax96.59 2796.42 2997.12 2998.76 2892.49 5196.44 3897.42 11986.96 21598.71 1098.72 1795.36 3199.56 1695.92 899.45 4399.32 26
SED-MVS96.00 5296.41 3294.76 11498.51 4786.97 14695.21 8798.10 5091.95 9497.63 3397.25 8396.48 1199.35 6193.29 6599.29 6897.95 162
MTAPA96.65 2296.38 3397.47 1598.95 1694.05 2395.88 6497.62 10394.46 4596.29 9096.94 10193.56 7499.37 5894.29 2499.42 4798.99 55
DVP-MVS++95.93 5396.34 3494.70 11796.54 17186.66 15598.45 498.22 3393.26 7097.54 3897.36 7593.12 8899.38 5693.88 3498.68 14898.04 149
ACMMPcopyleft96.61 2496.34 3497.43 1998.61 3493.88 3096.95 1898.18 3792.26 8796.33 8696.84 11195.10 4399.40 4593.47 5399.33 6099.02 52
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
SteuartSystems-ACMMP96.40 3896.30 3696.71 4298.63 3191.96 5795.70 6998.01 7093.34 6996.64 7596.57 13094.99 4999.36 6093.48 5199.34 5898.82 80
Skip Steuart: Steuart Systems R&D Blog.
ANet_high94.83 9796.28 3790.47 26396.65 16173.16 33194.33 12398.74 1096.39 2398.09 2598.93 893.37 8098.70 16890.38 13899.68 1899.53 14
TranMVSNet+NR-MVSNet96.07 5096.26 3895.50 8598.26 6787.69 13293.75 14197.86 8495.96 3097.48 4297.14 9095.33 3299.44 2690.79 12999.76 1199.38 22
LPG-MVS_test96.38 4096.23 3996.84 4098.36 6292.13 5495.33 8398.25 2891.78 10797.07 5497.22 8696.38 1399.28 7592.07 9999.59 2799.11 43
test_040295.73 6096.22 4094.26 13998.19 7285.77 17693.24 15497.24 13896.88 1697.69 3197.77 5294.12 6899.13 9391.54 11899.29 6897.88 172
ZNCC-MVS96.42 3696.20 4197.07 3098.80 2792.79 4896.08 5598.16 4491.74 11195.34 13696.36 14695.68 1999.44 2694.41 2199.28 7398.97 61
DVP-MVScopyleft95.82 5896.18 4294.72 11698.51 4786.69 15395.20 8997.00 15391.85 10097.40 4797.35 7895.58 2299.34 6493.44 5799.31 6398.13 143
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
XVS96.49 2996.18 4297.44 1798.56 3893.99 2796.50 3397.95 7994.58 4194.38 17496.49 13294.56 5999.39 5093.57 4499.05 10398.93 65
HFP-MVS96.39 3996.17 4497.04 3198.51 4793.37 4096.30 4897.98 7392.35 8495.63 12396.47 13395.37 2899.27 7793.78 3899.14 9298.48 118
zzz-MVS96.47 3196.14 4597.47 1598.95 1694.05 2393.69 14397.62 10394.46 4596.29 9096.94 10193.56 7499.37 5894.29 2499.42 4798.99 55
ACMMPR96.46 3296.14 4597.41 2198.60 3593.82 3496.30 4897.96 7792.35 8495.57 12696.61 12894.93 5199.41 3893.78 3899.15 9199.00 53
ACMMP_NAP96.21 4596.12 4796.49 5098.90 1891.42 6494.57 11498.03 6690.42 14496.37 8397.35 7895.68 1999.25 7994.44 2099.34 5898.80 82
region2R96.41 3796.09 4897.38 2398.62 3293.81 3696.32 4597.96 7792.26 8795.28 14096.57 13095.02 4799.41 3893.63 4299.11 9698.94 64
CP-MVS96.44 3596.08 4997.54 1198.29 6494.62 1496.80 2298.08 5492.67 7795.08 15196.39 14394.77 5499.42 3193.17 7199.44 4598.58 112
ACMM88.83 996.30 4396.07 5096.97 3598.39 5892.95 4694.74 10698.03 6690.82 13397.15 5296.85 10896.25 1599.00 11593.10 7499.33 6098.95 63
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
mPP-MVS96.46 3296.05 5197.69 598.62 3294.65 1396.45 3697.74 9792.59 7895.47 12996.68 12394.50 6199.42 3193.10 7499.26 7598.99 55
PS-MVSNAJss96.01 5196.04 5295.89 6898.82 2488.51 11795.57 7697.88 8388.72 18098.81 698.86 1090.77 14799.60 895.43 1199.53 3599.57 13
TransMVSNet (Re)95.27 8196.04 5292.97 18098.37 6181.92 22095.07 9596.76 17593.97 5697.77 2998.57 1995.72 1897.90 24188.89 18199.23 7999.08 47
GST-MVS96.24 4495.99 5497.00 3498.65 3092.71 4995.69 7198.01 7092.08 9295.74 11996.28 15195.22 3799.42 3193.17 7199.06 9898.88 74
pm-mvs195.43 7195.94 5593.93 15098.38 5985.08 18495.46 8097.12 14791.84 10397.28 4998.46 2595.30 3497.71 26190.17 15099.42 4798.99 55
PGM-MVS96.32 4195.94 5597.43 1998.59 3793.84 3395.33 8398.30 2491.40 12095.76 11796.87 10795.26 3599.45 2592.77 8299.21 8299.00 53
MP-MVS-pluss96.08 4995.92 5796.57 4699.06 1091.21 6693.25 15398.32 2187.89 19796.86 6697.38 7195.55 2499.39 5095.47 1099.47 3999.11 43
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
SF-MVS95.88 5695.88 5895.87 6998.12 7589.65 9195.58 7598.56 1291.84 10396.36 8496.68 12394.37 6499.32 7092.41 9399.05 10398.64 103
DPE-MVScopyleft95.89 5495.88 5895.92 6597.93 9389.83 8893.46 14998.30 2492.37 8297.75 3096.95 10095.14 3999.51 1891.74 11099.28 7398.41 124
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
FC-MVSNet-test95.32 7695.88 5893.62 16098.49 5581.77 22195.90 6398.32 2193.93 5797.53 4097.56 6088.48 17999.40 4592.91 8199.83 699.68 4
DP-MVS95.62 6495.84 6194.97 10697.16 13788.62 11294.54 11997.64 10296.94 1596.58 7897.32 8193.07 9198.72 16290.45 13598.84 12797.57 196
Anonymous2024052995.50 6895.83 6294.50 12997.33 13085.93 17395.19 9196.77 17496.64 1997.61 3698.05 3893.23 8498.79 14888.60 18899.04 10898.78 84
LS3D96.11 4895.83 6296.95 3794.75 26294.20 1997.34 1197.98 7397.31 1195.32 13796.77 11393.08 9099.20 8591.79 10898.16 20497.44 206
Gipumacopyleft95.31 7895.80 6493.81 15797.99 9190.91 7396.42 3997.95 7996.69 1791.78 25598.85 1291.77 12195.49 32991.72 11199.08 9795.02 293
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
3Dnovator+92.74 295.86 5795.77 6596.13 5596.81 15790.79 7696.30 4897.82 9096.13 2594.74 16597.23 8591.33 13299.16 8893.25 6898.30 18898.46 120
SD-MVS95.19 8295.73 6693.55 16396.62 16588.88 10894.67 10898.05 6191.26 12397.25 5196.40 13995.42 2694.36 34692.72 8699.19 8597.40 210
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
MP-MVScopyleft96.14 4795.68 6797.51 1398.81 2594.06 2196.10 5497.78 9692.73 7493.48 20096.72 12194.23 6699.42 3191.99 10199.29 6899.05 50
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
VPA-MVSNet95.14 8495.67 6893.58 16297.76 10083.15 20894.58 11397.58 10893.39 6897.05 5798.04 3993.25 8398.51 19389.75 16299.59 2799.08 47
DROMVSNet95.44 7095.62 6994.89 10896.93 14887.69 13296.48 3599.14 393.93 5792.77 22594.52 23493.95 7099.49 2293.62 4399.22 8197.51 201
CS-MVS95.72 6195.58 7096.15 5396.86 15391.06 6996.74 2599.07 494.22 5092.42 23794.79 22693.58 7399.48 2493.45 5499.06 9897.91 168
SMA-MVScopyleft95.77 5995.54 7196.47 5198.27 6691.19 6795.09 9397.79 9586.48 21997.42 4697.51 6594.47 6399.29 7393.55 4699.29 6898.93 65
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
#test#95.89 5495.51 7297.04 3198.51 4793.37 4095.14 9297.98 7389.34 16595.63 12396.47 13395.37 2899.27 7791.99 10199.14 9298.48 118
Vis-MVSNetpermissive95.50 6895.48 7395.56 8498.11 7689.40 9895.35 8198.22 3392.36 8394.11 17898.07 3792.02 11499.44 2693.38 6297.67 23697.85 176
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
OPM-MVS95.61 6595.45 7496.08 5698.49 5591.00 7192.65 16997.33 13090.05 14996.77 7196.85 10895.04 4598.56 18892.77 8299.06 9898.70 96
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
MIMVSNet195.52 6795.45 7495.72 7799.14 589.02 10396.23 5196.87 16693.73 6197.87 2798.49 2490.73 15199.05 10586.43 22799.60 2599.10 46
ACMP88.15 1395.71 6295.43 7696.54 4798.17 7391.73 6294.24 12598.08 5489.46 16196.61 7796.47 13395.85 1799.12 9590.45 13599.56 3398.77 86
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
FIs94.90 9195.35 7793.55 16398.28 6581.76 22295.33 8398.14 4593.05 7397.07 5497.18 8887.65 19399.29 7391.72 11199.69 1599.61 11
XVG-ACMP-BASELINE95.68 6395.34 7896.69 4398.40 5793.04 4394.54 11998.05 6190.45 14396.31 8896.76 11592.91 9598.72 16291.19 12299.42 4798.32 127
DeepC-MVS91.39 495.43 7195.33 7995.71 7897.67 11090.17 8293.86 13998.02 6887.35 20896.22 9697.99 4294.48 6299.05 10592.73 8599.68 1897.93 164
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
PMVScopyleft87.21 1494.97 8895.33 7993.91 15298.97 1597.16 295.54 7795.85 21596.47 2193.40 20397.46 6795.31 3395.47 33086.18 23198.78 13989.11 357
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
v894.65 10495.29 8192.74 19096.65 16179.77 25494.59 11197.17 14291.86 9997.47 4397.93 4488.16 18499.08 10094.32 2299.47 3999.38 22
NR-MVSNet95.28 7995.28 8295.26 9697.75 10187.21 14095.08 9497.37 12193.92 5997.65 3295.90 16790.10 16599.33 6990.11 15299.66 2199.26 29
v1094.68 10395.27 8392.90 18596.57 16880.15 24094.65 11097.57 10990.68 13797.43 4498.00 4188.18 18399.15 8994.84 1599.55 3499.41 20
UniMVSNet_NR-MVSNet95.35 7495.21 8495.76 7597.69 10888.59 11392.26 19097.84 8894.91 3896.80 6995.78 17790.42 15699.41 3891.60 11599.58 3199.29 28
SixPastTwentyTwo94.91 9095.21 8493.98 14698.52 4683.19 20795.93 6194.84 24594.86 3998.49 1598.74 1681.45 25799.60 894.69 1699.39 5499.15 38
UniMVSNet (Re)95.32 7695.15 8695.80 7297.79 9988.91 10592.91 16198.07 5793.46 6796.31 8895.97 16690.14 16199.34 6492.11 9699.64 2399.16 37
FMVSNet194.84 9695.13 8793.97 14797.60 11484.29 19095.99 5796.56 18592.38 8197.03 5898.53 2190.12 16298.98 11688.78 18399.16 9098.65 99
DU-MVS95.28 7995.12 8895.75 7697.75 10188.59 11392.58 17097.81 9193.99 5496.80 6995.90 16790.10 16599.41 3891.60 11599.58 3199.26 29
Baseline_NR-MVSNet94.47 11195.09 8992.60 19798.50 5480.82 23692.08 19696.68 17893.82 6096.29 9098.56 2090.10 16597.75 25990.10 15499.66 2199.24 31
dcpmvs_293.96 12995.01 9090.82 25597.60 11474.04 32693.68 14598.85 689.80 15597.82 2897.01 9991.14 14399.21 8390.56 13398.59 15599.19 35
XVG-OURS-SEG-HR95.38 7395.00 9196.51 4898.10 7794.07 2092.46 17798.13 4690.69 13693.75 19296.25 15498.03 297.02 29092.08 9895.55 28998.45 121
xxxxxxxxxxxxxcwj95.03 8594.93 9295.33 9197.46 12488.05 12592.04 19898.42 1687.63 20496.36 8496.68 12394.37 6499.32 7092.41 9399.05 10398.64 103
3Dnovator92.54 394.80 9994.90 9394.47 13295.47 24287.06 14396.63 2797.28 13691.82 10694.34 17697.41 6990.60 15498.65 17792.47 9198.11 21097.70 188
RPSCF95.58 6694.89 9497.62 897.58 11696.30 495.97 6097.53 11392.42 8093.41 20197.78 5091.21 13897.77 25691.06 12397.06 25398.80 82
tfpnnormal94.27 11994.87 9592.48 20297.71 10580.88 23594.55 11795.41 23293.70 6296.67 7497.72 5391.40 13098.18 22187.45 20899.18 8798.36 125
9.1494.81 9697.49 12194.11 13098.37 1887.56 20795.38 13396.03 16394.66 5699.08 10090.70 13198.97 115
CS-MVS-test95.15 8394.81 9696.19 5296.89 15091.14 6894.55 11798.85 694.31 4892.43 23691.91 30291.79 12099.49 2293.48 5199.06 9897.93 164
casdiffmvs94.32 11794.80 9892.85 18796.05 21081.44 22792.35 18598.05 6191.53 11895.75 11896.80 11293.35 8198.49 19491.01 12698.32 18598.64 103
baseline94.26 12094.80 9892.64 19396.08 20880.99 23393.69 14398.04 6590.80 13494.89 15996.32 14893.19 8598.48 19891.68 11398.51 16598.43 122
TSAR-MVS + MP.94.96 8994.75 10095.57 8398.86 2188.69 10996.37 4196.81 17085.23 23994.75 16497.12 9191.85 11999.40 4593.45 5498.33 18398.62 107
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
CSCG94.69 10294.75 10094.52 12897.55 11887.87 12995.01 9897.57 10992.68 7596.20 9893.44 26891.92 11898.78 15289.11 17699.24 7896.92 228
KD-MVS_self_test94.10 12594.73 10292.19 20897.66 11179.49 25994.86 10297.12 14789.59 16096.87 6597.65 5690.40 15998.34 20789.08 17799.35 5798.75 87
canonicalmvs94.59 10594.69 10394.30 13895.60 23987.03 14595.59 7398.24 3191.56 11795.21 14692.04 30194.95 5098.66 17591.45 11997.57 24097.20 220
APD-MVScopyleft95.00 8794.69 10395.93 6397.38 12790.88 7494.59 11197.81 9189.22 17095.46 13196.17 15993.42 7999.34 6489.30 16898.87 12597.56 198
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
GeoE94.55 10794.68 10594.15 14197.23 13285.11 18394.14 12997.34 12988.71 18195.26 14195.50 19294.65 5799.12 9590.94 12798.40 17198.23 134
Regformer-494.90 9194.67 10695.59 8192.78 30789.02 10392.39 18295.91 21294.50 4396.41 8195.56 18992.10 11399.01 11394.23 2698.14 20698.74 90
EG-PatchMatch MVS94.54 10994.67 10694.14 14297.87 9586.50 15792.00 20196.74 17688.16 19296.93 6397.61 5893.04 9297.90 24191.60 11598.12 20998.03 152
MSP-MVS95.34 7594.63 10897.48 1498.67 2994.05 2396.41 4098.18 3791.26 12395.12 14795.15 20586.60 21599.50 1993.43 5996.81 26398.89 72
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
LCM-MVSNet-Re94.20 12394.58 10993.04 17795.91 22183.13 20993.79 14099.19 292.00 9398.84 598.04 3993.64 7299.02 11181.28 27998.54 16196.96 227
ETH3D-3000-0.194.86 9494.55 11095.81 7097.61 11389.72 8994.05 13298.37 1888.09 19395.06 15295.85 16992.58 10399.10 9990.33 14298.99 11098.62 107
test_part194.39 11294.55 11093.92 15196.14 20382.86 21295.54 7798.09 5395.36 3698.27 2098.36 2875.91 29899.44 2693.41 6099.84 399.47 17
Regformer-294.86 9494.55 11095.77 7492.83 30589.98 8491.87 21096.40 19394.38 4796.19 10095.04 21292.47 10899.04 10893.49 4898.31 18698.28 131
AllTest94.88 9394.51 11396.00 5898.02 8692.17 5295.26 8698.43 1490.48 14195.04 15396.74 11892.54 10597.86 24785.11 24298.98 11197.98 158
testtj94.81 9894.42 11496.01 5797.23 13290.51 8094.77 10597.85 8791.29 12294.92 15895.66 18291.71 12399.40 4588.07 19898.25 19498.11 145
HPM-MVS++copyleft95.02 8694.39 11596.91 3897.88 9493.58 3894.09 13196.99 15591.05 12892.40 23995.22 20491.03 14599.25 7992.11 9698.69 14797.90 170
VDD-MVS94.37 11394.37 11694.40 13697.49 12186.07 17193.97 13693.28 27694.49 4496.24 9497.78 5087.99 18998.79 14888.92 17999.14 9298.34 126
IS-MVSNet94.49 11094.35 11794.92 10798.25 6986.46 16097.13 1594.31 25996.24 2496.28 9396.36 14682.88 24199.35 6188.19 19399.52 3798.96 62
Regformer-194.55 10794.33 11895.19 9992.83 30588.54 11691.87 21095.84 21693.99 5495.95 10895.04 21292.00 11598.79 14893.14 7398.31 18698.23 134
CNVR-MVS94.58 10694.29 11995.46 8796.94 14689.35 10091.81 21696.80 17189.66 15793.90 18995.44 19692.80 9998.72 16292.74 8498.52 16398.32 127
EI-MVSNet-Vis-set94.36 11494.28 12094.61 12092.55 30985.98 17292.44 17894.69 25293.70 6296.12 10395.81 17391.24 13698.86 13593.76 4198.22 19998.98 60
IterMVS-LS93.78 13294.28 12092.27 20596.27 19279.21 26691.87 21096.78 17291.77 10996.57 7997.07 9387.15 20298.74 16091.99 10199.03 10998.86 75
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
EI-MVSNet-UG-set94.35 11594.27 12294.59 12592.46 31085.87 17492.42 18094.69 25293.67 6696.13 10295.84 17291.20 13998.86 13593.78 3898.23 19799.03 51
VDDNet94.03 12794.27 12293.31 17298.87 2082.36 21695.51 7991.78 30697.19 1296.32 8798.60 1884.24 23298.75 15787.09 21598.83 13298.81 81
Regformer-394.28 11894.23 12494.46 13392.78 30786.28 16792.39 18294.70 25193.69 6595.97 10695.56 18991.34 13198.48 19893.45 5498.14 20698.62 107
XVG-OURS94.72 10194.12 12596.50 4998.00 8894.23 1891.48 22398.17 4190.72 13595.30 13896.47 13387.94 19096.98 29191.41 12097.61 23998.30 130
CPTT-MVS94.74 10094.12 12596.60 4598.15 7493.01 4495.84 6597.66 10189.21 17193.28 20795.46 19488.89 17698.98 11689.80 15998.82 13397.80 181
HQP_MVS94.26 12093.93 12795.23 9897.71 10588.12 12394.56 11597.81 9191.74 11193.31 20495.59 18486.93 20798.95 12389.26 17298.51 16598.60 110
MSLP-MVS++93.25 14793.88 12891.37 23396.34 18682.81 21393.11 15597.74 9789.37 16494.08 18095.29 20390.40 15996.35 31390.35 14098.25 19494.96 294
v114493.50 13693.81 12992.57 19896.28 19179.61 25791.86 21496.96 15686.95 21695.91 11296.32 14887.65 19398.96 12193.51 4798.88 12299.13 40
PHI-MVS94.34 11693.80 13095.95 6095.65 23591.67 6394.82 10397.86 8487.86 19893.04 21894.16 24691.58 12698.78 15290.27 14598.96 11797.41 207
v119293.49 13793.78 13192.62 19696.16 20179.62 25691.83 21597.22 14086.07 22796.10 10496.38 14487.22 20099.02 11194.14 2998.88 12299.22 32
VPNet93.08 15193.76 13291.03 24598.60 3575.83 31291.51 22295.62 22091.84 10395.74 11997.10 9289.31 17398.32 20885.07 24499.06 9898.93 65
WR-MVS93.49 13793.72 13392.80 18997.57 11780.03 24690.14 25995.68 21993.70 6296.62 7695.39 20087.21 20199.04 10887.50 20799.64 2399.33 25
v124093.29 14293.71 13492.06 21596.01 21577.89 28491.81 21697.37 12185.12 24496.69 7396.40 13986.67 21399.07 10494.51 1898.76 14199.22 32
OMC-MVS94.22 12293.69 13595.81 7097.25 13191.27 6592.27 18997.40 12087.10 21494.56 16995.42 19793.74 7198.11 22686.62 22298.85 12698.06 146
EPP-MVSNet93.91 13093.68 13694.59 12598.08 7885.55 17997.44 1094.03 26494.22 5094.94 15696.19 15682.07 25299.57 1387.28 21298.89 12098.65 99
v2v48293.29 14293.63 13792.29 20496.35 18578.82 27291.77 21896.28 19788.45 18695.70 12296.26 15386.02 22198.90 12793.02 7798.81 13599.14 39
v192192093.26 14593.61 13892.19 20896.04 21478.31 27891.88 20997.24 13885.17 24196.19 10096.19 15686.76 21299.05 10594.18 2898.84 12799.22 32
V4293.43 13993.58 13992.97 18095.34 24881.22 23092.67 16896.49 19087.25 21096.20 9896.37 14587.32 19998.85 13792.39 9598.21 20098.85 78
Anonymous2024052192.86 16193.57 14090.74 25796.57 16875.50 31494.15 12895.60 22189.38 16395.90 11397.90 4880.39 26697.96 23992.60 8999.68 1898.75 87
DeepPCF-MVS90.46 694.20 12393.56 14196.14 5495.96 21792.96 4589.48 27797.46 11785.14 24296.23 9595.42 19793.19 8598.08 22790.37 13998.76 14197.38 213
v14419293.20 15093.54 14292.16 21296.05 21078.26 27991.95 20297.14 14484.98 24895.96 10796.11 16087.08 20499.04 10893.79 3798.84 12799.17 36
NCCC94.08 12693.54 14295.70 7996.49 17689.90 8792.39 18296.91 16290.64 13892.33 24594.60 23190.58 15598.96 12190.21 14997.70 23498.23 134
DeepC-MVS_fast89.96 793.73 13393.44 14494.60 12496.14 20387.90 12893.36 15297.14 14485.53 23693.90 18995.45 19591.30 13498.59 18489.51 16598.62 15297.31 216
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
MVS_111021_HR93.63 13593.42 14594.26 13996.65 16186.96 14889.30 28396.23 20188.36 18993.57 19894.60 23193.45 7697.77 25690.23 14898.38 17698.03 152
ETH3D cwj APD-0.1693.99 12893.38 14695.80 7296.82 15589.92 8592.72 16598.02 6884.73 25293.65 19695.54 19191.68 12499.22 8288.78 18398.49 16898.26 133
v14892.87 16093.29 14791.62 22796.25 19577.72 28791.28 22895.05 23889.69 15695.93 11196.04 16287.34 19898.38 20390.05 15597.99 22098.78 84
MVS_Test92.57 17293.29 14790.40 26693.53 29275.85 31092.52 17296.96 15688.73 17992.35 24296.70 12290.77 14798.37 20692.53 9095.49 29196.99 226
MVS_111021_LR93.66 13493.28 14994.80 11296.25 19590.95 7290.21 25595.43 23187.91 19593.74 19494.40 23792.88 9796.38 31190.39 13798.28 18997.07 221
K. test v393.37 14093.27 15093.66 15998.05 8182.62 21494.35 12286.62 33796.05 2897.51 4198.85 1276.59 29699.65 393.21 6998.20 20298.73 92
EI-MVSNet92.99 15593.26 15192.19 20892.12 31779.21 26692.32 18794.67 25491.77 10995.24 14495.85 16987.14 20398.49 19491.99 10198.26 19198.86 75
XXY-MVS92.58 17093.16 15290.84 25497.75 10179.84 25091.87 21096.22 20385.94 22995.53 12897.68 5492.69 10194.48 34283.21 26097.51 24198.21 137
VNet92.67 16792.96 15391.79 22096.27 19280.15 24091.95 20294.98 24092.19 9094.52 17196.07 16187.43 19797.39 27884.83 24698.38 17697.83 177
GBi-Net93.21 14892.96 15393.97 14795.40 24484.29 19095.99 5796.56 18588.63 18295.10 14898.53 2181.31 25998.98 11686.74 21898.38 17698.65 99
test193.21 14892.96 15393.97 14795.40 24484.29 19095.99 5796.56 18588.63 18295.10 14898.53 2181.31 25998.98 11686.74 21898.38 17698.65 99
alignmvs93.26 14592.85 15694.50 12995.70 23187.45 13493.45 15095.76 21791.58 11695.25 14392.42 29581.96 25498.72 16291.61 11497.87 22697.33 215
test_prior393.29 14292.85 15694.61 12095.95 21887.23 13890.21 25597.36 12689.33 16690.77 26894.81 22290.41 15798.68 17288.21 19198.55 15897.93 164
QAPM92.88 15992.77 15893.22 17595.82 22483.31 20496.45 3697.35 12883.91 25793.75 19296.77 11389.25 17498.88 13084.56 25097.02 25597.49 202
TinyColmap92.00 18592.76 15989.71 28295.62 23877.02 29590.72 24096.17 20687.70 20295.26 14196.29 15092.54 10596.45 30881.77 27498.77 14095.66 279
ETV-MVS92.99 15592.74 16093.72 15895.86 22386.30 16692.33 18697.84 8891.70 11492.81 22386.17 35892.22 11099.19 8688.03 19997.73 23095.66 279
Effi-MVS+92.79 16292.74 16092.94 18395.10 25283.30 20594.00 13497.53 11391.36 12189.35 29690.65 32494.01 6998.66 17587.40 21095.30 29796.88 231
FMVSNet292.78 16392.73 16292.95 18295.40 24481.98 21994.18 12795.53 22988.63 18296.05 10597.37 7281.31 25998.81 14587.38 21198.67 15098.06 146
patch_mono-292.46 17492.72 16391.71 22496.65 16178.91 27088.85 29297.17 14283.89 25892.45 23496.76 11589.86 16997.09 28790.24 14798.59 15599.12 42
PM-MVS93.33 14192.67 16495.33 9196.58 16794.06 2192.26 19092.18 29785.92 23096.22 9696.61 12885.64 22695.99 32290.35 14098.23 19795.93 266
ab-mvs92.40 17592.62 16591.74 22297.02 14281.65 22395.84 6595.50 23086.95 21692.95 22197.56 6090.70 15297.50 26979.63 29797.43 24496.06 261
Effi-MVS+-dtu93.90 13192.60 16697.77 494.74 26496.67 394.00 13495.41 23289.94 15091.93 25392.13 29990.12 16298.97 12087.68 20597.48 24297.67 191
MCST-MVS92.91 15792.51 16794.10 14397.52 11985.72 17791.36 22797.13 14680.33 28692.91 22294.24 24291.23 13798.72 16289.99 15697.93 22397.86 174
Anonymous20240521192.58 17092.50 16892.83 18896.55 17083.22 20692.43 17991.64 30794.10 5395.59 12596.64 12681.88 25697.50 26985.12 24198.52 16397.77 183
UGNet93.08 15192.50 16894.79 11393.87 28887.99 12795.07 9594.26 26190.64 13887.33 32597.67 5586.89 21098.49 19488.10 19698.71 14497.91 168
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
TSAR-MVS + GP.93.07 15392.41 17095.06 10495.82 22490.87 7590.97 23492.61 29188.04 19494.61 16893.79 26088.08 18597.81 25189.41 16798.39 17496.50 244
MVSFormer92.18 18292.23 17192.04 21694.74 26480.06 24497.15 1397.37 12188.98 17488.83 30092.79 28377.02 29099.60 896.41 496.75 26696.46 246
Fast-Effi-MVS+-dtu92.77 16492.16 17294.58 12794.66 27088.25 12092.05 19796.65 18089.62 15890.08 28191.23 31292.56 10498.60 18286.30 22996.27 27596.90 229
DELS-MVS92.05 18492.16 17291.72 22394.44 27480.13 24287.62 30597.25 13787.34 20992.22 24793.18 27589.54 17298.73 16189.67 16398.20 20296.30 252
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
OpenMVScopyleft89.45 892.27 18092.13 17492.68 19294.53 27384.10 19695.70 6997.03 15182.44 27491.14 26596.42 13788.47 18098.38 20385.95 23297.47 24395.55 283
EIA-MVS92.35 17792.03 17593.30 17395.81 22683.97 19892.80 16498.17 4187.71 20189.79 29087.56 34891.17 14299.18 8787.97 20097.27 24896.77 235
LF4IMVS92.72 16592.02 17694.84 11195.65 23591.99 5692.92 16096.60 18285.08 24692.44 23593.62 26386.80 21196.35 31386.81 21798.25 19496.18 257
h-mvs3392.89 15891.99 17795.58 8296.97 14490.55 7893.94 13794.01 26789.23 16893.95 18696.19 15676.88 29399.14 9191.02 12495.71 28697.04 224
CANet92.38 17691.99 17793.52 16793.82 29083.46 20391.14 23097.00 15389.81 15486.47 32994.04 24987.90 19199.21 8389.50 16698.27 19097.90 170
diffmvs91.74 18891.93 17991.15 24393.06 30078.17 28088.77 29597.51 11686.28 22392.42 23793.96 25488.04 18797.46 27290.69 13296.67 26897.82 179
DP-MVS Recon92.31 17891.88 18093.60 16197.18 13686.87 14991.10 23297.37 12184.92 24992.08 25094.08 24888.59 17898.20 21883.50 25798.14 20695.73 275
train_agg92.71 16691.83 18195.35 8996.45 17889.46 9490.60 24396.92 16079.37 29590.49 27394.39 23891.20 13998.88 13088.66 18798.43 17097.72 187
CDPH-MVS92.67 16791.83 18195.18 10096.94 14688.46 11890.70 24197.07 15077.38 31192.34 24495.08 21092.67 10298.88 13085.74 23398.57 15798.20 138
mvs-test193.07 15391.80 18396.89 3994.74 26495.83 692.17 19395.41 23289.94 15089.85 28790.59 32590.12 16298.88 13087.68 20595.66 28795.97 264
agg_prior192.60 16991.76 18495.10 10396.20 19788.89 10690.37 25096.88 16479.67 29290.21 27894.41 23691.30 13498.78 15288.46 19098.37 18197.64 193
TAPA-MVS88.58 1092.49 17391.75 18594.73 11596.50 17589.69 9092.91 16197.68 10078.02 30992.79 22494.10 24790.85 14697.96 23984.76 24898.16 20496.54 239
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
API-MVS91.52 19491.61 18691.26 23794.16 27986.26 16894.66 10994.82 24691.17 12692.13 24991.08 31590.03 16897.06 28979.09 30497.35 24790.45 355
IterMVS-SCA-FT91.65 19091.55 18791.94 21793.89 28779.22 26587.56 30893.51 27391.53 11895.37 13496.62 12778.65 27598.90 12791.89 10694.95 30397.70 188
xiu_mvs_v1_base_debu91.47 19591.52 18891.33 23495.69 23281.56 22489.92 26696.05 20983.22 26291.26 26190.74 31991.55 12798.82 14089.29 16995.91 28193.62 326
xiu_mvs_v1_base91.47 19591.52 18891.33 23495.69 23281.56 22489.92 26696.05 20983.22 26291.26 26190.74 31991.55 12798.82 14089.29 16995.91 28193.62 326
xiu_mvs_v1_base_debi91.47 19591.52 18891.33 23495.69 23281.56 22489.92 26696.05 20983.22 26291.26 26190.74 31991.55 12798.82 14089.29 16995.91 28193.62 326
HQP-MVS92.09 18391.49 19193.88 15496.36 18284.89 18591.37 22497.31 13187.16 21188.81 30293.40 26984.76 22998.60 18286.55 22497.73 23098.14 141
c3_l91.32 20091.42 19291.00 24892.29 31276.79 30187.52 31196.42 19285.76 23394.72 16793.89 25782.73 24498.16 22390.93 12898.55 15898.04 149
CLD-MVS91.82 18791.41 19393.04 17796.37 18083.65 20286.82 32497.29 13484.65 25392.27 24689.67 33492.20 11197.85 24983.95 25499.47 3997.62 194
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
AdaColmapbinary91.63 19191.36 19492.47 20395.56 24086.36 16492.24 19296.27 19888.88 17889.90 28692.69 28691.65 12598.32 20877.38 31697.64 23792.72 340
testgi90.38 21991.34 19587.50 31697.49 12171.54 34189.43 27895.16 23788.38 18894.54 17094.68 23092.88 9793.09 35671.60 34897.85 22797.88 172
mvs_anonymous90.37 22091.30 19687.58 31592.17 31668.00 35589.84 27094.73 25083.82 25993.22 21297.40 7087.54 19597.40 27787.94 20195.05 30297.34 214
ETH3 D test640091.91 18691.25 19793.89 15396.59 16684.41 18992.10 19597.72 9978.52 30591.82 25493.78 26188.70 17799.13 9383.61 25698.39 17498.14 141
hse-mvs292.24 18191.20 19895.38 8896.16 20190.65 7792.52 17292.01 30489.23 16893.95 18692.99 27876.88 29398.69 17091.02 12496.03 27896.81 233
PVSNet_Blended_VisFu91.63 19191.20 19892.94 18397.73 10483.95 19992.14 19497.46 11778.85 30492.35 24294.98 21584.16 23399.08 10086.36 22896.77 26595.79 273
CNLPA91.72 18991.20 19893.26 17496.17 20091.02 7091.14 23095.55 22890.16 14890.87 26793.56 26686.31 21794.40 34579.92 29697.12 25294.37 307
LFMVS91.33 19991.16 20191.82 21996.27 19279.36 26195.01 9885.61 34896.04 2994.82 16197.06 9472.03 31298.46 20084.96 24598.70 14697.65 192
F-COLMAP92.28 17991.06 20295.95 6097.52 11991.90 5893.53 14797.18 14183.98 25688.70 30894.04 24988.41 18198.55 19080.17 29095.99 28097.39 211
BH-untuned90.68 21090.90 20390.05 27795.98 21679.57 25890.04 26294.94 24287.91 19594.07 18193.00 27787.76 19297.78 25579.19 30395.17 30092.80 338
MDA-MVSNet-bldmvs91.04 20290.88 20491.55 22994.68 26980.16 23985.49 33692.14 30090.41 14594.93 15795.79 17485.10 22796.93 29485.15 23994.19 32097.57 196
Fast-Effi-MVS+91.28 20190.86 20592.53 20095.45 24382.53 21589.25 28696.52 18985.00 24789.91 28588.55 34492.94 9398.84 13884.72 24995.44 29396.22 255
test20.0390.80 20690.85 20690.63 26095.63 23779.24 26489.81 27192.87 28289.90 15294.39 17396.40 13985.77 22295.27 33773.86 33599.05 10397.39 211
PAPM_NR91.03 20390.81 20791.68 22696.73 15981.10 23293.72 14296.35 19688.19 19188.77 30692.12 30085.09 22897.25 28282.40 26993.90 32196.68 238
new-patchmatchnet88.97 25290.79 20883.50 34394.28 27855.83 37785.34 33793.56 27286.18 22595.47 12995.73 17983.10 23996.51 30685.40 23698.06 21498.16 139
wuyk23d87.83 27190.79 20878.96 35290.46 34188.63 11192.72 16590.67 31491.65 11598.68 1197.64 5796.06 1677.53 37359.84 36899.41 5270.73 371
pmmvs-eth3d91.54 19390.73 21093.99 14595.76 22987.86 13090.83 23793.98 26878.23 30894.02 18596.22 15582.62 24796.83 29786.57 22398.33 18397.29 217
MSDG90.82 20590.67 21191.26 23794.16 27983.08 21086.63 32996.19 20490.60 14091.94 25291.89 30389.16 17595.75 32480.96 28594.51 31394.95 295
test111190.39 21890.61 21289.74 28198.04 8471.50 34295.59 7379.72 37189.41 16295.94 11098.14 3370.79 31598.81 14588.52 18999.32 6298.90 71
eth_miper_zixun_eth90.72 20890.61 21291.05 24492.04 31976.84 30086.91 32096.67 17985.21 24094.41 17293.92 25579.53 27098.26 21489.76 16197.02 25598.06 146
cl____90.65 21190.56 21490.91 25291.85 32176.98 29886.75 32595.36 23585.53 23694.06 18294.89 21977.36 28897.98 23890.27 14598.98 11197.76 184
DIV-MVS_self_test90.65 21190.56 21490.91 25291.85 32176.99 29786.75 32595.36 23585.52 23894.06 18294.89 21977.37 28797.99 23790.28 14498.97 11597.76 184
BH-RMVSNet90.47 21590.44 21690.56 26295.21 25178.65 27689.15 28793.94 26988.21 19092.74 22694.22 24386.38 21697.88 24378.67 30695.39 29595.14 290
miper_ehance_all_eth90.48 21490.42 21790.69 25891.62 32676.57 30386.83 32396.18 20583.38 26094.06 18292.66 28882.20 25098.04 22989.79 16097.02 25597.45 204
UnsupCasMVSNet_eth90.33 22290.34 21890.28 26894.64 27180.24 23889.69 27395.88 21385.77 23293.94 18895.69 18081.99 25392.98 35784.21 25391.30 34897.62 194
FMVSNet390.78 20790.32 21992.16 21293.03 30279.92 24992.54 17194.95 24186.17 22695.10 14896.01 16469.97 31898.75 15786.74 21898.38 17697.82 179
ECVR-MVScopyleft90.12 22890.16 22090.00 27897.81 9772.68 33695.76 6878.54 37289.04 17295.36 13598.10 3570.51 31698.64 17887.10 21499.18 8798.67 97
IterMVS90.18 22690.16 22090.21 27293.15 29875.98 30987.56 30892.97 28186.43 22194.09 17996.40 13978.32 27997.43 27487.87 20294.69 31097.23 218
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
Vis-MVSNet (Re-imp)90.42 21690.16 22091.20 24197.66 11177.32 29294.33 12387.66 33091.20 12592.99 21995.13 20775.40 30098.28 21077.86 30999.19 8597.99 157
MVS_030490.96 20490.15 22393.37 16993.17 29787.06 14393.62 14692.43 29589.60 15982.25 35495.50 19282.56 24897.83 25084.41 25297.83 22895.22 287
RPMNet90.31 22490.14 22490.81 25691.01 33378.93 26892.52 17298.12 4791.91 9789.10 29796.89 10668.84 31999.41 3890.17 15092.70 33794.08 311
RRT_MVS91.36 19890.05 22595.29 9589.21 35488.15 12292.51 17694.89 24386.73 21895.54 12795.68 18161.82 35399.30 7294.91 1399.13 9598.43 122
PVSNet_BlendedMVS90.35 22189.96 22691.54 23094.81 25978.80 27490.14 25996.93 15879.43 29488.68 30995.06 21186.27 21898.15 22480.27 28798.04 21697.68 190
Patchmtry90.11 22989.92 22790.66 25990.35 34277.00 29692.96 15992.81 28390.25 14794.74 16596.93 10367.11 32497.52 26885.17 23798.98 11197.46 203
CL-MVSNet_self_test90.04 23489.90 22890.47 26395.24 25077.81 28586.60 33192.62 29085.64 23593.25 21193.92 25583.84 23496.06 32079.93 29498.03 21797.53 200
miper_lstm_enhance89.90 23789.80 22990.19 27491.37 33077.50 28983.82 35295.00 23984.84 25093.05 21794.96 21676.53 29795.20 33889.96 15798.67 15097.86 174
114514_t90.51 21389.80 22992.63 19598.00 8882.24 21793.40 15197.29 13465.84 36189.40 29594.80 22586.99 20598.75 15783.88 25598.61 15396.89 230
MG-MVS89.54 24289.80 22988.76 29794.88 25572.47 33889.60 27492.44 29485.82 23189.48 29495.98 16582.85 24297.74 26081.87 27395.27 29896.08 260
test_yl90.11 22989.73 23291.26 23794.09 28279.82 25190.44 24792.65 28890.90 12993.19 21393.30 27173.90 30398.03 23082.23 27096.87 26195.93 266
DCV-MVSNet90.11 22989.73 23291.26 23794.09 28279.82 25190.44 24792.65 28890.90 12993.19 21393.30 27173.90 30398.03 23082.23 27096.87 26195.93 266
D2MVS89.93 23689.60 23490.92 25094.03 28478.40 27788.69 29794.85 24478.96 30293.08 21595.09 20974.57 30196.94 29288.19 19398.96 11797.41 207
112190.26 22589.23 23593.34 17097.15 13987.40 13591.94 20494.39 25767.88 35691.02 26694.91 21886.91 20998.59 18481.17 28297.71 23394.02 316
xiu_mvs_v2_base89.00 25189.19 23688.46 30494.86 25774.63 31886.97 31895.60 22180.88 28287.83 31988.62 34391.04 14498.81 14582.51 26894.38 31491.93 346
CANet_DTU89.85 23889.17 23791.87 21892.20 31580.02 24790.79 23895.87 21486.02 22882.53 35391.77 30580.01 26798.57 18785.66 23497.70 23497.01 225
bset_n11_16_dypcd89.99 23589.15 23892.53 20094.75 26281.34 22884.19 34887.56 33185.13 24393.77 19192.46 29072.82 30799.01 11392.46 9299.21 8297.23 218
USDC89.02 24989.08 23988.84 29695.07 25374.50 32188.97 28996.39 19473.21 33393.27 20896.28 15182.16 25196.39 31077.55 31398.80 13795.62 282
TAMVS90.16 22789.05 24093.49 16896.49 17686.37 16390.34 25292.55 29280.84 28492.99 21994.57 23381.94 25598.20 21873.51 33698.21 20095.90 269
OpenMVS_ROBcopyleft85.12 1689.52 24389.05 24090.92 25094.58 27281.21 23191.10 23293.41 27577.03 31593.41 20193.99 25383.23 23897.80 25279.93 29494.80 30793.74 323
PS-MVSNAJ88.86 25588.99 24288.48 30394.88 25574.71 31686.69 32795.60 22180.88 28287.83 31987.37 35190.77 14798.82 14082.52 26794.37 31591.93 346
MVP-Stereo90.07 23288.92 24393.54 16596.31 18986.49 15890.93 23595.59 22579.80 28891.48 25795.59 18480.79 26397.39 27878.57 30791.19 34996.76 236
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
PLCcopyleft85.34 1590.40 21788.92 24394.85 11096.53 17490.02 8391.58 22196.48 19180.16 28786.14 33192.18 29785.73 22398.25 21576.87 31994.61 31296.30 252
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
tttt051789.81 23988.90 24592.55 19997.00 14379.73 25595.03 9783.65 36089.88 15395.30 13894.79 22653.64 36899.39 5091.99 10198.79 13898.54 113
MAR-MVS90.32 22388.87 24694.66 11994.82 25891.85 5994.22 12694.75 24980.91 28187.52 32388.07 34786.63 21497.87 24676.67 32096.21 27694.25 310
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
MVSTER89.32 24588.75 24791.03 24590.10 34476.62 30290.85 23694.67 25482.27 27595.24 14495.79 17461.09 35698.49 19490.49 13498.26 19197.97 161
ppachtmachnet_test88.61 26088.64 24888.50 30291.76 32370.99 34584.59 34492.98 28079.30 29992.38 24093.53 26779.57 26997.45 27386.50 22697.17 25197.07 221
Patchmatch-RL test88.81 25688.52 24989.69 28395.33 24979.94 24886.22 33392.71 28778.46 30695.80 11694.18 24566.25 33295.33 33589.22 17498.53 16293.78 321
cl2289.02 24988.50 25090.59 26189.76 34676.45 30486.62 33094.03 26482.98 26892.65 22892.49 28972.05 31197.53 26788.93 17897.02 25597.78 182
X-MVStestdata90.70 20988.45 25197.44 1798.56 3893.99 2796.50 3397.95 7994.58 4194.38 17426.89 37494.56 5999.39 5093.57 4499.05 10398.93 65
DPM-MVS89.35 24488.40 25292.18 21196.13 20684.20 19486.96 31996.15 20775.40 32287.36 32491.55 31083.30 23798.01 23482.17 27296.62 26994.32 309
jason89.17 24788.32 25391.70 22595.73 23080.07 24388.10 30293.22 27771.98 33990.09 28092.79 28378.53 27898.56 18887.43 20997.06 25396.46 246
jason: jason.
AUN-MVS90.05 23388.30 25495.32 9496.09 20790.52 7992.42 18092.05 30382.08 27788.45 31192.86 28065.76 33498.69 17088.91 18096.07 27796.75 237
Anonymous2023120688.77 25788.29 25590.20 27396.31 18978.81 27389.56 27693.49 27474.26 32792.38 24095.58 18782.21 24995.43 33272.07 34498.75 14396.34 250
EPNet89.80 24088.25 25694.45 13483.91 37586.18 16993.87 13887.07 33591.16 12780.64 36394.72 22878.83 27398.89 12985.17 23798.89 12098.28 131
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
YYNet188.17 26688.24 25787.93 31192.21 31473.62 32880.75 36088.77 32082.51 27394.99 15595.11 20882.70 24593.70 35183.33 25893.83 32296.48 245
MDA-MVSNet_test_wron88.16 26788.23 25887.93 31192.22 31373.71 32780.71 36188.84 31982.52 27294.88 16095.14 20682.70 24593.61 35283.28 25993.80 32396.46 246
CDS-MVSNet89.55 24188.22 25993.53 16695.37 24786.49 15889.26 28493.59 27179.76 29091.15 26492.31 29677.12 28998.38 20377.51 31497.92 22495.71 276
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
RRT_test8_iter0588.21 26588.17 26088.33 30691.62 32666.82 36191.73 21996.60 18286.34 22294.14 17795.38 20247.72 37499.11 9791.78 10998.26 19199.06 49
PatchT87.51 27988.17 26085.55 32990.64 33666.91 35792.02 20086.09 34192.20 8989.05 29997.16 8964.15 34296.37 31289.21 17592.98 33593.37 330
PVSNet_Blended88.74 25888.16 26290.46 26594.81 25978.80 27486.64 32896.93 15874.67 32488.68 30989.18 34086.27 21898.15 22480.27 28796.00 27994.44 306
UnsupCasMVSNet_bld88.50 26188.03 26389.90 27995.52 24178.88 27187.39 31294.02 26679.32 29893.06 21694.02 25180.72 26494.27 34775.16 32993.08 33396.54 239
PatchMatch-RL89.18 24688.02 26492.64 19395.90 22292.87 4788.67 29991.06 31080.34 28590.03 28391.67 30783.34 23694.42 34476.35 32394.84 30690.64 354
miper_enhance_ethall88.42 26287.87 26590.07 27588.67 35975.52 31385.10 33895.59 22575.68 31892.49 23289.45 33778.96 27297.88 24387.86 20397.02 25596.81 233
MS-PatchMatch88.05 26887.75 26688.95 29393.28 29477.93 28287.88 30492.49 29375.42 32192.57 23193.59 26580.44 26594.24 34981.28 27992.75 33694.69 302
PCF-MVS84.52 1789.12 24887.71 26793.34 17096.06 20985.84 17586.58 33297.31 13168.46 35493.61 19793.89 25787.51 19698.52 19267.85 35998.11 21095.66 279
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
pmmvs488.95 25387.70 26892.70 19194.30 27785.60 17887.22 31492.16 29974.62 32589.75 29294.19 24477.97 28296.41 30982.71 26496.36 27496.09 259
our_test_387.55 27887.59 26987.44 31791.76 32370.48 34683.83 35190.55 31579.79 28992.06 25192.17 29878.63 27795.63 32584.77 24794.73 30896.22 255
thisisatest053088.69 25987.52 27092.20 20796.33 18779.36 26192.81 16384.01 35986.44 22093.67 19592.68 28753.62 36999.25 7989.65 16498.45 16998.00 154
1112_ss88.42 26287.41 27191.45 23196.69 16080.99 23389.72 27296.72 17773.37 33287.00 32790.69 32277.38 28698.20 21881.38 27893.72 32495.15 289
baseline187.62 27787.31 27288.54 30194.71 26874.27 32493.10 15688.20 32686.20 22492.18 24893.04 27673.21 30695.52 32779.32 30185.82 36195.83 271
lupinMVS88.34 26487.31 27291.45 23194.74 26480.06 24487.23 31392.27 29671.10 34388.83 30091.15 31377.02 29098.53 19186.67 22196.75 26695.76 274
N_pmnet88.90 25487.25 27493.83 15694.40 27693.81 3684.73 34187.09 33479.36 29793.26 20992.43 29479.29 27191.68 36177.50 31597.22 25096.00 263
SCA87.43 28187.21 27588.10 30992.01 32071.98 34089.43 27888.11 32882.26 27688.71 30792.83 28178.65 27597.59 26579.61 29893.30 32894.75 299
TR-MVS87.70 27387.17 27689.27 29094.11 28179.26 26388.69 29791.86 30581.94 27890.69 27189.79 33182.82 24397.42 27572.65 34291.98 34591.14 351
pmmvs587.87 27087.14 27790.07 27593.26 29676.97 29988.89 29192.18 29773.71 33188.36 31293.89 25776.86 29596.73 30080.32 28696.81 26396.51 241
CR-MVSNet87.89 26987.12 27890.22 27191.01 33378.93 26892.52 17292.81 28373.08 33489.10 29796.93 10367.11 32497.64 26488.80 18292.70 33794.08 311
thres600view787.66 27587.10 27989.36 28896.05 21073.17 33092.72 16585.31 35191.89 9893.29 20690.97 31663.42 34698.39 20173.23 33896.99 26096.51 241
BH-w/o87.21 28687.02 28087.79 31494.77 26177.27 29387.90 30393.21 27981.74 27989.99 28488.39 34683.47 23596.93 29471.29 34992.43 34189.15 356
thres100view90087.35 28386.89 28188.72 29896.14 20373.09 33293.00 15885.31 35192.13 9193.26 20990.96 31763.42 34698.28 21071.27 35096.54 27094.79 297
GA-MVS87.70 27386.82 28290.31 26793.27 29577.22 29484.72 34392.79 28585.11 24589.82 28890.07 32666.80 32797.76 25884.56 25094.27 31895.96 265
sss87.23 28586.82 28288.46 30493.96 28577.94 28186.84 32292.78 28677.59 31087.61 32291.83 30478.75 27491.92 36077.84 31094.20 31995.52 284
PAPR87.65 27686.77 28490.27 26992.85 30477.38 29188.56 30096.23 20176.82 31784.98 33789.75 33386.08 22097.16 28572.33 34393.35 32796.26 254
EU-MVSNet87.39 28286.71 28589.44 28593.40 29376.11 30794.93 10190.00 31757.17 37095.71 12197.37 7264.77 34097.68 26392.67 8794.37 31594.52 304
Test_1112_low_res87.50 28086.58 28690.25 27096.80 15877.75 28687.53 31096.25 19969.73 35086.47 32993.61 26475.67 29997.88 24379.95 29293.20 32995.11 291
FMVSNet587.82 27286.56 28791.62 22792.31 31179.81 25393.49 14894.81 24883.26 26191.36 25996.93 10352.77 37097.49 27176.07 32498.03 21797.55 199
MIMVSNet87.13 29086.54 28888.89 29596.05 21076.11 30794.39 12188.51 32281.37 28088.27 31496.75 11772.38 30995.52 32765.71 36495.47 29295.03 292
tfpn200view987.05 29186.52 28988.67 29995.77 22772.94 33391.89 20786.00 34390.84 13192.61 22989.80 32963.93 34398.28 21071.27 35096.54 27094.79 297
thres40087.20 28786.52 28989.24 29295.77 22772.94 33391.89 20786.00 34390.84 13192.61 22989.80 32963.93 34398.28 21071.27 35096.54 27096.51 241
WTY-MVS86.93 29386.50 29188.24 30794.96 25474.64 31787.19 31592.07 30278.29 30788.32 31391.59 30978.06 28194.27 34774.88 33093.15 33195.80 272
131486.46 29586.33 29286.87 32191.65 32574.54 31991.94 20494.10 26374.28 32684.78 33987.33 35283.03 24095.00 33978.72 30591.16 35091.06 352
cascas87.02 29286.28 29389.25 29191.56 32876.45 30484.33 34796.78 17271.01 34486.89 32885.91 35981.35 25896.94 29283.09 26195.60 28894.35 308
Patchmatch-test86.10 29786.01 29486.38 32690.63 33774.22 32589.57 27586.69 33685.73 23489.81 28992.83 28165.24 33891.04 36377.82 31295.78 28593.88 320
HY-MVS82.50 1886.81 29485.93 29589.47 28493.63 29177.93 28294.02 13391.58 30875.68 31883.64 34693.64 26277.40 28597.42 27571.70 34792.07 34493.05 335
CHOSEN 1792x268887.19 28885.92 29691.00 24897.13 14079.41 26084.51 34595.60 22164.14 36490.07 28294.81 22278.26 28097.14 28673.34 33795.38 29696.46 246
CMPMVSbinary68.83 2287.28 28485.67 29792.09 21488.77 35885.42 18090.31 25394.38 25870.02 34988.00 31793.30 27173.78 30594.03 35075.96 32696.54 27096.83 232
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
HyFIR lowres test87.19 28885.51 29892.24 20697.12 14180.51 23785.03 33996.06 20866.11 36091.66 25692.98 27970.12 31799.14 9175.29 32895.23 29997.07 221
thres20085.85 29885.18 29987.88 31394.44 27472.52 33789.08 28886.21 33988.57 18591.44 25888.40 34564.22 34198.00 23568.35 35895.88 28493.12 332
CVMVSNet85.16 30284.72 30086.48 32292.12 31770.19 34792.32 18788.17 32756.15 37190.64 27295.85 16967.97 32296.69 30188.78 18390.52 35292.56 341
PatchmatchNetpermissive85.22 30184.64 30186.98 32089.51 35169.83 35290.52 24587.34 33378.87 30387.22 32692.74 28566.91 32696.53 30481.77 27486.88 36094.58 303
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
test250685.42 30084.57 30287.96 31097.81 9766.53 36296.14 5256.35 37989.04 17293.55 19998.10 3542.88 38198.68 17288.09 19799.18 8798.67 97
EPNet_dtu85.63 29984.37 30389.40 28786.30 36974.33 32391.64 22088.26 32484.84 25072.96 37289.85 32771.27 31497.69 26276.60 32197.62 23896.18 257
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
MVS84.98 30484.30 30487.01 31991.03 33277.69 28891.94 20494.16 26259.36 36984.23 34387.50 35085.66 22496.80 29871.79 34593.05 33486.54 362
ET-MVSNet_ETH3D86.15 29684.27 30591.79 22093.04 30181.28 22987.17 31686.14 34079.57 29383.65 34588.66 34257.10 36198.18 22187.74 20495.40 29495.90 269
tpm84.38 30784.08 30685.30 33390.47 34063.43 37289.34 28185.63 34777.24 31487.62 32195.03 21461.00 35797.30 28179.26 30291.09 35195.16 288
tpmvs84.22 30883.97 30784.94 33487.09 36665.18 36591.21 22988.35 32382.87 26985.21 33490.96 31765.24 33896.75 29979.60 30085.25 36292.90 337
MDTV_nov1_ep1383.88 30889.42 35261.52 37388.74 29687.41 33273.99 32984.96 33894.01 25265.25 33795.53 32678.02 30893.16 330
PMMVS281.31 32583.44 30974.92 35490.52 33946.49 37969.19 36885.23 35484.30 25587.95 31894.71 22976.95 29284.36 37264.07 36598.09 21293.89 319
FPMVS84.50 30683.28 31088.16 30896.32 18894.49 1685.76 33485.47 34983.09 26585.20 33594.26 24163.79 34586.58 37063.72 36691.88 34783.40 365
test-LLR83.58 31083.17 31184.79 33689.68 34866.86 35983.08 35384.52 35683.07 26682.85 35184.78 36262.86 34993.49 35382.85 26294.86 30494.03 314
JIA-IIPM85.08 30383.04 31291.19 24287.56 36186.14 17089.40 28084.44 35888.98 17482.20 35597.95 4356.82 36396.15 31676.55 32283.45 36591.30 350
thisisatest051584.72 30582.99 31389.90 27992.96 30375.33 31584.36 34683.42 36177.37 31288.27 31486.65 35353.94 36798.72 16282.56 26697.40 24595.67 278
tpmrst82.85 31682.93 31482.64 34587.65 36058.99 37590.14 25987.90 32975.54 32083.93 34491.63 30866.79 32995.36 33381.21 28181.54 36993.57 329
PVSNet76.22 2082.89 31582.37 31584.48 33893.96 28564.38 37078.60 36388.61 32171.50 34184.43 34286.36 35774.27 30294.60 34169.87 35693.69 32594.46 305
CostFormer83.09 31382.21 31685.73 32889.27 35367.01 35690.35 25186.47 33870.42 34783.52 34893.23 27461.18 35596.85 29677.21 31788.26 35893.34 331
ADS-MVSNet284.01 30982.20 31789.41 28689.04 35576.37 30687.57 30690.98 31172.71 33784.46 34092.45 29168.08 32096.48 30770.58 35483.97 36395.38 285
DSMNet-mixed82.21 31981.56 31884.16 34089.57 35070.00 35190.65 24277.66 37454.99 37283.30 34997.57 5977.89 28390.50 36566.86 36295.54 29091.97 345
ADS-MVSNet82.25 31881.55 31984.34 33989.04 35565.30 36487.57 30685.13 35572.71 33784.46 34092.45 29168.08 32092.33 35970.58 35483.97 36395.38 285
baseline283.38 31181.54 32088.90 29491.38 32972.84 33588.78 29481.22 36678.97 30179.82 36587.56 34861.73 35497.80 25274.30 33390.05 35496.05 262
test0.0.03 182.48 31781.47 32185.48 33089.70 34773.57 32984.73 34181.64 36583.07 26688.13 31686.61 35462.86 34989.10 36966.24 36390.29 35393.77 322
PMMVS83.00 31481.11 32288.66 30083.81 37686.44 16182.24 35785.65 34661.75 36882.07 35685.64 36079.75 26891.59 36275.99 32593.09 33287.94 361
IB-MVS77.21 1983.11 31281.05 32389.29 28991.15 33175.85 31085.66 33586.00 34379.70 29182.02 35886.61 35448.26 37398.39 20177.84 31092.22 34293.63 325
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
gg-mvs-nofinetune82.10 32281.02 32485.34 33287.46 36471.04 34394.74 10667.56 37696.44 2279.43 36698.99 645.24 37596.15 31667.18 36192.17 34388.85 358
new_pmnet81.22 32681.01 32581.86 34790.92 33570.15 34884.03 34980.25 37070.83 34585.97 33289.78 33267.93 32384.65 37167.44 36091.90 34690.78 353
E-PMN80.72 33280.86 32680.29 35085.11 37268.77 35472.96 36581.97 36487.76 20083.25 35083.01 36662.22 35289.17 36877.15 31894.31 31782.93 366
KD-MVS_2432*160082.17 32080.75 32786.42 32482.04 37770.09 34981.75 35890.80 31282.56 27090.37 27689.30 33842.90 37996.11 31874.47 33192.55 33993.06 333
miper_refine_blended82.17 32080.75 32786.42 32482.04 37770.09 34981.75 35890.80 31282.56 27090.37 27689.30 33842.90 37996.11 31874.47 33192.55 33993.06 333
MVS-HIRNet78.83 33880.60 32973.51 35593.07 29947.37 37887.10 31778.00 37368.94 35277.53 36897.26 8271.45 31394.62 34063.28 36788.74 35678.55 370
EPMVS81.17 32880.37 33083.58 34285.58 37165.08 36790.31 25371.34 37577.31 31385.80 33391.30 31159.38 35892.70 35879.99 29182.34 36892.96 336
tpm281.46 32480.35 33184.80 33589.90 34565.14 36690.44 24785.36 35065.82 36282.05 35792.44 29357.94 36096.69 30170.71 35388.49 35792.56 341
EMVS80.35 33480.28 33280.54 34984.73 37469.07 35372.54 36780.73 36787.80 19981.66 36081.73 36762.89 34889.84 36675.79 32794.65 31182.71 367
PAPM81.91 32380.11 33387.31 31893.87 28872.32 33984.02 35093.22 27769.47 35176.13 37089.84 32872.15 31097.23 28353.27 37289.02 35592.37 343
test-mter81.21 32780.01 33484.79 33689.68 34866.86 35983.08 35384.52 35673.85 33082.85 35184.78 36243.66 37893.49 35382.85 26294.86 30494.03 314
tpm cat180.61 33379.46 33584.07 34188.78 35765.06 36889.26 28488.23 32562.27 36781.90 35989.66 33562.70 35195.29 33671.72 34680.60 37091.86 348
DWT-MVSNet_test80.74 33179.18 33685.43 33187.51 36366.87 35889.87 26986.01 34274.20 32880.86 36280.62 36848.84 37296.68 30381.54 27683.14 36792.75 339
pmmvs380.83 33078.96 33786.45 32387.23 36577.48 29084.87 34082.31 36363.83 36585.03 33689.50 33649.66 37193.10 35573.12 34095.10 30188.78 360
dp79.28 33678.62 33881.24 34885.97 37056.45 37686.91 32085.26 35372.97 33581.45 36189.17 34156.01 36595.45 33173.19 33976.68 37191.82 349
TESTMET0.1,179.09 33778.04 33982.25 34687.52 36264.03 37183.08 35380.62 36870.28 34880.16 36483.22 36544.13 37790.56 36479.95 29293.36 32692.15 344
CHOSEN 280x42080.04 33577.97 34086.23 32790.13 34374.53 32072.87 36689.59 31866.38 35976.29 36985.32 36156.96 36295.36 33369.49 35794.72 30988.79 359
EGC-MVSNET80.97 32975.73 34196.67 4498.85 2294.55 1596.83 2096.60 1822.44 3765.32 37798.25 3192.24 10998.02 23391.85 10799.21 8297.45 204
PVSNet_070.34 2174.58 33972.96 34279.47 35190.63 33766.24 36373.26 36483.40 36263.67 36678.02 36778.35 37072.53 30889.59 36756.68 37060.05 37482.57 368
MVEpermissive59.87 2373.86 34072.65 34377.47 35387.00 36874.35 32261.37 37060.93 37867.27 35769.69 37386.49 35681.24 26272.33 37456.45 37183.45 36585.74 363
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
test_method50.44 34148.94 34454.93 35639.68 38012.38 38228.59 37190.09 3166.82 37441.10 37678.41 36954.41 36670.69 37550.12 37351.26 37581.72 369
tmp_tt37.97 34244.33 34518.88 35811.80 38121.54 38163.51 36945.66 3824.23 37551.34 37550.48 37359.08 35922.11 37744.50 37468.35 37313.00 373
cdsmvs_eth3d_5k23.35 34331.13 3460.00 3610.00 3840.00 3850.00 37295.58 2270.00 3790.00 38091.15 31393.43 780.00 3800.00 3780.00 3780.00 376
test1239.49 34412.01 3471.91 3592.87 3821.30 38382.38 3561.34 3841.36 3772.84 3786.56 3762.45 3820.97 3782.73 3765.56 3763.47 374
testmvs9.02 34511.42 3481.81 3602.77 3831.13 38479.44 3621.90 3831.18 3782.65 3796.80 3751.95 3830.87 3792.62 3773.45 3773.44 375
pcd_1.5k_mvsjas7.56 34610.09 3490.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 37990.77 1470.00 3800.00 3780.00 3780.00 376
ab-mvs-re7.56 34610.08 3500.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 38090.69 3220.00 3840.00 3800.00 3780.00 3780.00 376
test_blank0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
uanet_test0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
DCPMVS0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
sosnet-low-res0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
sosnet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
uncertanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
Regformer0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
uanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
FOURS199.21 394.68 1298.45 498.81 897.73 698.27 20
MSC_two_6792asdad95.90 6696.54 17189.57 9296.87 16699.41 3894.06 3099.30 6598.72 93
PC_three_145275.31 32395.87 11495.75 17892.93 9496.34 31587.18 21398.68 14898.04 149
No_MVS95.90 6696.54 17189.57 9296.87 16699.41 3894.06 3099.30 6598.72 93
test_one_060198.26 6787.14 14198.18 3794.25 4996.99 6197.36 7595.13 40
eth-test20.00 384
eth-test0.00 384
ZD-MVS97.23 13290.32 8197.54 11184.40 25494.78 16395.79 17492.76 10099.39 5088.72 18698.40 171
IU-MVS98.51 4786.66 15596.83 16972.74 33695.83 11593.00 7899.29 6898.64 103
OPU-MVS95.15 10196.84 15489.43 9695.21 8795.66 18293.12 8898.06 22886.28 23098.61 15397.95 162
test_241102_TWO98.10 5091.95 9497.54 3897.25 8395.37 2899.35 6193.29 6599.25 7698.49 117
test_241102_ONE98.51 4786.97 14698.10 5091.85 10097.63 3397.03 9696.48 1198.95 123
save fliter97.46 12488.05 12592.04 19897.08 14987.63 204
test_0728_THIRD93.26 7097.40 4797.35 7894.69 5599.34 6493.88 3499.42 4798.89 72
test_0728_SECOND94.88 10998.55 4186.72 15295.20 8998.22 3399.38 5693.44 5799.31 6398.53 114
test072698.51 4786.69 15395.34 8298.18 3791.85 10097.63 3397.37 7295.58 22
GSMVS94.75 299
test_part298.21 7189.41 9796.72 72
sam_mvs166.64 33094.75 299
sam_mvs66.41 331
ambc92.98 17996.88 15183.01 21195.92 6296.38 19596.41 8197.48 6688.26 18297.80 25289.96 15798.93 11998.12 144
MTGPAbinary97.62 103
test_post190.21 2555.85 37865.36 33696.00 32179.61 298
test_post6.07 37765.74 33595.84 323
patchmatchnet-post91.71 30666.22 33397.59 265
GG-mvs-BLEND83.24 34485.06 37371.03 34494.99 10065.55 37774.09 37175.51 37144.57 37694.46 34359.57 36987.54 35984.24 364
MTMP94.82 10354.62 380
gm-plane-assit87.08 36759.33 37471.22 34283.58 36497.20 28473.95 334
test9_res88.16 19598.40 17197.83 177
TEST996.45 17889.46 9490.60 24396.92 16079.09 30090.49 27394.39 23891.31 13398.88 130
test_896.37 18089.14 10190.51 24696.89 16379.37 29590.42 27594.36 24091.20 13998.82 140
agg_prior287.06 21698.36 18297.98 158
agg_prior96.20 19788.89 10696.88 16490.21 27898.78 152
TestCases96.00 5898.02 8692.17 5298.43 1490.48 14195.04 15396.74 11892.54 10597.86 24785.11 24298.98 11197.98 158
test_prior489.91 8690.74 239
test_prior290.21 25589.33 16690.77 26894.81 22290.41 15788.21 19198.55 158
test_prior94.61 12095.95 21887.23 13897.36 12698.68 17297.93 164
旧先验290.00 26468.65 35392.71 22796.52 30585.15 239
新几何290.02 263
新几何193.17 17697.16 13787.29 13794.43 25667.95 35591.29 26094.94 21786.97 20698.23 21681.06 28497.75 22993.98 317
旧先验196.20 19784.17 19594.82 24695.57 18889.57 17197.89 22596.32 251
无先验89.94 26595.75 21870.81 34698.59 18481.17 28294.81 296
原ACMM289.34 281
原ACMM192.87 18696.91 14984.22 19397.01 15276.84 31689.64 29394.46 23588.00 18898.70 16881.53 27798.01 21995.70 277
test22296.95 14585.27 18288.83 29393.61 27065.09 36390.74 27094.85 22184.62 23197.36 24693.91 318
testdata298.03 23080.24 289
segment_acmp92.14 112
testdata91.03 24596.87 15282.01 21894.28 26071.55 34092.46 23395.42 19785.65 22597.38 28082.64 26597.27 24893.70 324
testdata188.96 29088.44 187
test1294.43 13595.95 21886.75 15196.24 20089.76 29189.79 17098.79 14897.95 22297.75 186
plane_prior797.71 10588.68 110
plane_prior697.21 13588.23 12186.93 207
plane_prior597.81 9198.95 12389.26 17298.51 16598.60 110
plane_prior495.59 184
plane_prior388.43 11990.35 14693.31 204
plane_prior294.56 11591.74 111
plane_prior197.38 127
plane_prior88.12 12393.01 15788.98 17498.06 214
n20.00 385
nn0.00 385
door-mid92.13 301
lessismore_v093.87 15598.05 8183.77 20180.32 36997.13 5397.91 4677.49 28499.11 9792.62 8898.08 21398.74 90
LGP-MVS_train96.84 4098.36 6292.13 5498.25 2891.78 10797.07 5497.22 8696.38 1399.28 7592.07 9999.59 2799.11 43
test1196.65 180
door91.26 309
HQP5-MVS84.89 185
HQP-NCC96.36 18291.37 22487.16 21188.81 302
ACMP_Plane96.36 18291.37 22487.16 21188.81 302
BP-MVS86.55 224
HQP4-MVS88.81 30298.61 18098.15 140
HQP3-MVS97.31 13197.73 230
HQP2-MVS84.76 229
NP-MVS96.82 15587.10 14293.40 269
MDTV_nov1_ep13_2view42.48 38088.45 30167.22 35883.56 34766.80 32772.86 34194.06 313
ACMMP++_ref98.82 133
ACMMP++99.25 76
Test By Simon90.61 153
ITE_SJBPF95.95 6097.34 12993.36 4296.55 18891.93 9694.82 16195.39 20091.99 11697.08 28885.53 23597.96 22197.41 207
DeepMVS_CXcopyleft53.83 35770.38 37964.56 36948.52 38133.01 37365.50 37474.21 37256.19 36446.64 37638.45 37570.07 37250.30 372