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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort by
DVP-MVS++81.67 182.40 179.47 987.24 1459.15 5988.18 187.15 365.04 1484.26 591.86 667.01 190.84 379.48 491.38 288.42 9
FOURS186.12 3660.82 3788.18 183.61 6260.87 8281.50 16
APDe-MVS80.16 780.59 678.86 2786.64 2160.02 4588.12 386.42 1462.94 4982.40 1492.12 259.64 1889.76 1478.70 1188.32 3186.79 59
test072687.75 759.07 6387.86 486.83 864.26 2784.19 791.92 564.82 8
DVP-MVScopyleft80.84 481.64 378.42 3287.75 759.07 6387.85 585.03 3464.26 2783.82 892.00 364.82 890.75 878.66 1390.61 1185.45 108
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
test_0728_SECOND79.19 1587.82 359.11 6287.85 587.15 390.84 378.66 1390.61 1187.62 35
SED-MVS81.56 282.30 279.32 1287.77 458.90 6887.82 786.78 1064.18 3085.97 191.84 866.87 390.83 578.63 1590.87 588.23 14
OPU-MVS79.83 687.54 1160.93 3587.82 789.89 4067.01 190.33 1173.16 4191.15 488.23 14
SteuartSystems-ACMMP79.48 1079.31 1079.98 283.01 7262.18 1687.60 985.83 1966.69 778.03 2690.98 1454.26 5090.06 1278.42 1789.02 2387.69 31
Skip Steuart: Steuart Systems R&D Blog.
CP-MVS77.12 3076.68 3078.43 3186.05 3863.18 587.55 1083.45 6762.44 6272.68 7290.50 2248.18 11487.34 4873.59 3985.71 5684.76 133
ZNCC-MVS78.82 1278.67 1579.30 1386.43 2862.05 1886.62 1186.01 1863.32 4175.08 3790.47 2453.96 5488.68 2576.48 2389.63 2087.16 49
HPM-MVS++copyleft79.88 880.14 879.10 2088.17 164.80 186.59 1283.70 6065.37 1178.78 2290.64 1758.63 2487.24 4979.00 1090.37 1485.26 118
SMA-MVScopyleft80.28 680.39 779.95 386.60 2361.95 1986.33 1385.75 2162.49 6082.20 1592.28 156.53 3389.70 1579.85 391.48 188.19 16
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
HFP-MVS78.01 2277.65 2379.10 2086.71 1962.81 886.29 1484.32 4462.82 5373.96 5390.50 2253.20 6388.35 2974.02 3587.05 4286.13 80
region2R77.67 2577.18 2779.15 1786.76 1762.95 686.29 1484.16 4762.81 5573.30 6090.58 1949.90 9488.21 3273.78 3787.03 4386.29 77
ACMMPR77.71 2377.23 2679.16 1686.75 1862.93 786.29 1484.24 4562.82 5373.55 5890.56 2049.80 9688.24 3174.02 3587.03 4386.32 74
MSP-MVS81.06 381.40 480.02 186.21 3162.73 986.09 1786.83 865.51 1083.81 1090.51 2163.71 1289.23 1881.51 188.44 2788.09 19
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
MTMP86.03 1817.08 379
MP-MVScopyleft78.35 1878.26 1978.64 2986.54 2563.47 486.02 1983.55 6463.89 3573.60 5790.60 1854.85 4686.72 6677.20 2088.06 3585.74 97
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
GST-MVS78.14 2077.85 2278.99 2486.05 3861.82 2285.84 2085.21 2963.56 3974.29 5090.03 3652.56 6688.53 2774.79 2988.34 2986.63 63
XVS77.17 2976.56 3279.00 2286.32 2962.62 1185.83 2183.92 5164.55 2172.17 7990.01 3847.95 11688.01 3671.55 5286.74 5086.37 68
X-MVStestdata70.21 11067.28 15779.00 2286.32 2962.62 1185.83 2183.92 5164.55 2172.17 796.49 37447.95 11688.01 3671.55 5286.74 5086.37 68
3Dnovator+66.72 475.84 4374.57 5179.66 882.40 7659.92 4785.83 2186.32 1666.92 567.80 14489.24 4942.03 18389.38 1764.07 10386.50 5389.69 2
mPP-MVS76.54 3475.93 3878.34 3486.47 2663.50 385.74 2482.28 8962.90 5071.77 8290.26 2946.61 13986.55 7271.71 5085.66 5784.97 126
DPE-MVScopyleft80.56 580.98 579.29 1487.27 1360.56 4185.71 2586.42 1463.28 4283.27 1391.83 1064.96 790.47 1076.41 2489.67 1886.84 57
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
SR-MVS76.13 4075.70 4177.40 4685.87 4061.20 2985.52 2682.19 9059.99 10375.10 3690.35 2647.66 12086.52 7371.64 5182.99 7684.47 139
APD-MVScopyleft78.02 2178.04 2177.98 3986.44 2760.81 3885.52 2684.36 4360.61 8779.05 2190.30 2855.54 4088.32 3073.48 4087.03 4384.83 129
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
ACMMPcopyleft76.02 4175.33 4478.07 3685.20 4961.91 2085.49 2884.44 4163.04 4769.80 10689.74 4445.43 15287.16 5372.01 4782.87 8185.14 119
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
NCCC78.58 1578.31 1779.39 1187.51 1262.61 1385.20 2984.42 4266.73 674.67 4689.38 4755.30 4189.18 1974.19 3387.34 4186.38 66
SF-MVS78.82 1279.22 1177.60 4282.88 7457.83 7984.99 3088.13 261.86 7379.16 2090.75 1657.96 2587.09 5877.08 2190.18 1587.87 24
DeepC-MVS_fast68.24 377.25 2876.63 3179.12 1986.15 3460.86 3684.71 3184.85 3861.98 7273.06 6788.88 5353.72 5789.06 2168.27 6588.04 3687.42 41
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
SD-MVS77.70 2477.62 2477.93 4084.47 5961.88 2184.55 3283.87 5660.37 9479.89 1889.38 4754.97 4485.58 9576.12 2584.94 6086.33 72
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
CS-MVS76.25 3875.98 3777.06 4880.15 11455.63 11584.51 3383.90 5363.24 4373.30 6087.27 7455.06 4386.30 8171.78 4984.58 6289.25 4
CNVR-MVS79.84 979.97 979.45 1087.90 262.17 1784.37 3485.03 3466.96 377.58 2790.06 3459.47 2089.13 2078.67 1289.73 1687.03 51
SR-MVS-dyc-post74.57 5473.90 5776.58 5483.49 6559.87 4884.29 3581.36 10658.07 13573.14 6490.07 3244.74 15985.84 8968.20 6681.76 9284.03 149
RE-MVS-def73.71 6183.49 6559.87 4884.29 3581.36 10658.07 13573.14 6490.07 3243.06 17468.20 6681.76 9284.03 149
PHI-MVS75.87 4275.36 4377.41 4480.62 10555.91 11084.28 3785.78 2056.08 17173.41 5986.58 8850.94 8988.54 2670.79 5589.71 1787.79 29
HQP_MVS74.31 5773.73 6076.06 6081.41 8956.31 9984.22 3884.01 4964.52 2369.27 11486.10 9745.26 15687.21 5168.16 6880.58 10184.65 134
plane_prior284.22 3864.52 23
DeepC-MVS69.38 278.56 1678.14 2079.83 683.60 6361.62 2384.17 4086.85 663.23 4473.84 5590.25 3057.68 2789.96 1374.62 3089.03 2287.89 22
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
9.1478.75 1483.10 6984.15 4188.26 159.90 10478.57 2390.36 2557.51 3086.86 6277.39 1889.52 21
CPTT-MVS72.78 6972.08 7374.87 8484.88 5761.41 2684.15 4177.86 17755.27 18867.51 15088.08 6241.93 18581.85 17469.04 6480.01 10981.35 212
TSAR-MVS + MP.78.44 1778.28 1878.90 2584.96 5261.41 2684.03 4383.82 5859.34 11579.37 1989.76 4359.84 1687.62 4576.69 2286.74 5087.68 32
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
API-MVS72.17 8071.41 8074.45 9881.95 8257.22 8784.03 4380.38 13059.89 10768.40 12682.33 17349.64 9787.83 4251.87 19884.16 6978.30 251
save fliter86.17 3361.30 2883.98 4579.66 13859.00 118
CS-MVS-test75.62 4575.31 4576.56 5580.63 10455.13 12383.88 4685.22 2862.05 6971.49 8686.03 10053.83 5686.36 7967.74 7286.91 4788.19 16
ACMMP_NAP78.77 1478.78 1378.74 2885.44 4561.04 3183.84 4785.16 3062.88 5178.10 2491.26 1352.51 6788.39 2879.34 690.52 1386.78 60
DROMVSNet75.84 4375.87 4075.74 6778.86 14052.65 15583.73 4886.08 1763.47 4072.77 7187.25 7553.13 6487.93 3871.97 4885.57 5886.66 62
APD-MVS_3200maxsize74.96 4774.39 5376.67 5282.20 7858.24 7683.67 4983.29 7458.41 12973.71 5690.14 3145.62 14585.99 8569.64 5982.85 8285.78 91
HPM-MVS_fast74.30 5873.46 6376.80 5084.45 6059.04 6583.65 5081.05 11860.15 10070.43 9289.84 4141.09 19885.59 9467.61 7582.90 8085.77 94
plane_prior56.31 9983.58 5163.19 4680.48 104
QAPM70.05 11268.81 12273.78 11076.54 20453.43 14283.23 5283.48 6552.89 22265.90 17986.29 9441.55 19286.49 7551.01 20578.40 13581.42 208
MCST-MVS77.48 2677.45 2577.54 4386.67 2058.36 7583.22 5386.93 556.91 15374.91 4188.19 5959.15 2287.68 4473.67 3887.45 4086.57 64
EPNet73.09 6772.16 7175.90 6375.95 21256.28 10183.05 5472.39 24966.53 865.27 19287.00 7650.40 9285.47 10062.48 11986.32 5485.94 84
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
DeepPCF-MVS69.58 179.03 1179.00 1279.13 1884.92 5660.32 4483.03 5585.33 2762.86 5280.17 1790.03 3661.76 1488.95 2274.21 3288.67 2688.12 18
CSCG76.92 3176.75 2977.41 4483.96 6259.60 5082.95 5686.50 1360.78 8575.27 3584.83 12060.76 1586.56 7167.86 7187.87 3986.06 82
MP-MVS-pluss78.35 1878.46 1678.03 3884.96 5259.52 5282.93 5785.39 2662.15 6576.41 3191.51 1152.47 6986.78 6580.66 289.64 1987.80 28
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
HPM-MVScopyleft77.28 2776.85 2878.54 3085.00 5160.81 3882.91 5885.08 3162.57 5873.09 6689.97 3950.90 9087.48 4775.30 2686.85 4887.33 47
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
MVSFormer71.50 9070.38 9874.88 8378.76 14357.15 9282.79 5978.48 16351.26 24169.49 10983.22 15543.99 16783.24 14266.06 8679.37 11784.23 144
test_djsdf69.45 13167.74 13874.58 9474.57 23554.92 12682.79 5978.48 16351.26 24165.41 18983.49 15338.37 21883.24 14266.06 8669.25 24685.56 103
ACMP63.53 672.30 7771.20 8675.59 7380.28 10757.54 8282.74 6182.84 8460.58 8865.24 19686.18 9539.25 20986.03 8466.95 8276.79 15283.22 178
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
ACMM61.98 770.80 10069.73 10674.02 10480.59 10658.59 7382.68 6282.02 9355.46 18567.18 15584.39 13238.51 21683.17 14460.65 13476.10 15780.30 230
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
AdaColmapbinary69.99 11468.66 12573.97 10684.94 5457.83 7982.63 6378.71 15556.28 16764.34 20884.14 13541.57 19087.06 5946.45 24078.88 12677.02 268
OPM-MVS74.73 5174.25 5476.19 5980.81 10059.01 6682.60 6483.64 6163.74 3772.52 7587.49 6947.18 13085.88 8869.47 6180.78 9783.66 168
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
PGM-MVS76.77 3376.06 3678.88 2686.14 3562.73 982.55 6583.74 5961.71 7472.45 7890.34 2748.48 11288.13 3372.32 4586.85 4885.78 91
LPG-MVS_test72.74 7071.74 7575.76 6580.22 10957.51 8482.55 6583.40 6961.32 7766.67 16587.33 7239.15 21186.59 6967.70 7377.30 14683.19 180
CANet76.46 3575.93 3878.06 3781.29 9257.53 8382.35 6783.31 7367.78 170.09 9686.34 9354.92 4588.90 2372.68 4484.55 6387.76 30
114514_t70.83 9869.56 10874.64 9186.21 3154.63 12982.34 6881.81 9648.22 26863.01 22385.83 10740.92 19987.10 5757.91 15079.79 11082.18 197
HQP-NCC80.66 10182.31 6962.10 6667.85 139
ACMP_Plane80.66 10182.31 6962.10 6667.85 139
HQP-MVS73.45 6372.80 6775.40 7480.66 10154.94 12482.31 6983.90 5362.10 6667.85 13985.54 11345.46 15086.93 6067.04 8080.35 10584.32 141
MSLP-MVS++73.77 6273.47 6274.66 8983.02 7159.29 5782.30 7281.88 9459.34 11571.59 8586.83 7745.94 14383.65 13565.09 9785.22 5981.06 219
RRT_MVS69.42 13267.49 14975.21 8078.01 16752.56 15982.23 7378.15 17355.84 17565.65 18485.07 11730.86 28986.83 6361.56 13070.00 23086.24 79
EPP-MVSNet72.16 8171.31 8474.71 8678.68 14649.70 20282.10 7481.65 9860.40 9165.94 17785.84 10651.74 7986.37 7855.93 16179.55 11688.07 21
test_prior462.51 1482.08 75
mvsmamba71.15 9369.54 10975.99 6177.61 18253.46 14181.95 7675.11 21957.73 14366.95 15985.96 10337.14 23487.56 4667.94 7075.49 16386.97 52
TSAR-MVS + GP.74.90 4874.15 5577.17 4782.00 8058.77 7181.80 7778.57 15958.58 12674.32 4984.51 13055.94 3887.22 5067.11 7984.48 6585.52 104
test_prior281.75 7860.37 9475.01 3889.06 5056.22 3672.19 4688.96 24
PS-MVSNAJss72.24 7871.21 8575.31 7678.50 14955.93 10981.63 7982.12 9156.24 16870.02 10085.68 11047.05 13284.34 12265.27 9674.41 16985.67 98
TEST985.58 4361.59 2481.62 8081.26 11355.65 18274.93 3988.81 5453.70 5884.68 116
train_agg76.27 3776.15 3576.64 5385.58 4361.59 2481.62 8081.26 11355.86 17374.93 3988.81 5453.70 5884.68 11675.24 2888.33 3083.65 169
MG-MVS73.96 6073.89 5874.16 10385.65 4249.69 20481.59 8281.29 11261.45 7671.05 8888.11 6051.77 7887.73 4361.05 13283.09 7485.05 123
test_885.40 4660.96 3481.54 8381.18 11655.86 17374.81 4288.80 5653.70 5884.45 120
MAR-MVS71.51 8970.15 10175.60 7281.84 8359.39 5481.38 8482.90 8254.90 20168.08 13578.70 24247.73 11885.51 9751.68 20284.17 6881.88 204
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
CDPH-MVS76.31 3675.67 4278.22 3585.35 4859.14 6181.31 8584.02 4856.32 16574.05 5188.98 5253.34 6287.92 3969.23 6388.42 2887.59 36
OpenMVScopyleft61.03 968.85 14067.56 14372.70 14474.26 24253.99 13381.21 8681.34 11052.70 22362.75 22685.55 11238.86 21484.14 12448.41 22783.01 7579.97 235
DP-MVS Recon72.15 8270.73 9276.40 5686.57 2457.99 7881.15 8782.96 8057.03 15066.78 16185.56 11144.50 16288.11 3451.77 20080.23 10883.10 183
Vis-MVSNetpermissive72.18 7971.37 8274.61 9281.29 9255.41 12080.90 8878.28 17260.73 8669.23 11788.09 6144.36 16482.65 16057.68 15181.75 9485.77 94
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
jajsoiax68.25 15566.45 17073.66 11875.62 21655.49 11980.82 8978.51 16252.33 22764.33 20984.11 13628.28 30981.81 17663.48 11170.62 21883.67 166
mvs_tets68.18 15766.36 17673.63 12175.61 21755.35 12180.77 9078.56 16052.48 22664.27 21184.10 13727.45 31581.84 17563.45 11270.56 22083.69 165
DP-MVS65.68 20063.66 20971.75 15784.93 5556.87 9780.74 9173.16 24453.06 21959.09 26782.35 17236.79 24085.94 8732.82 32969.96 23272.45 312
3Dnovator64.47 572.49 7471.39 8175.79 6477.70 17458.99 6780.66 9283.15 7862.24 6465.46 18886.59 8742.38 18185.52 9659.59 14484.72 6182.85 188
ACMH+57.40 1166.12 19664.06 20272.30 15377.79 17352.83 15380.39 9378.03 17557.30 14657.47 28082.55 16827.68 31384.17 12345.54 25069.78 23679.90 236
canonicalmvs74.67 5274.98 4873.71 11678.94 13950.56 18980.23 9483.87 5660.30 9877.15 2886.56 8959.65 1782.00 17266.01 8882.12 8788.58 8
IS-MVSNet71.57 8871.00 8973.27 13378.86 14045.63 25180.22 9578.69 15664.14 3366.46 16887.36 7149.30 10085.60 9350.26 21183.71 7288.59 7
Effi-MVS+-dtu69.64 12667.53 14675.95 6276.10 21062.29 1580.20 9676.06 20459.83 10865.26 19577.09 26341.56 19184.02 12860.60 13571.09 21581.53 207
iter_conf_final69.82 11868.02 13675.23 7979.38 12752.91 15280.11 9773.96 23654.99 19968.04 13683.59 14829.05 30287.16 5365.41 9577.62 14085.63 101
nrg03072.96 6873.01 6572.84 14075.41 22150.24 19280.02 9882.89 8358.36 13174.44 4786.73 8158.90 2380.83 19865.84 9074.46 16787.44 40
Anonymous2023121169.28 13468.47 12971.73 15880.28 10747.18 23579.98 9982.37 8854.61 20467.24 15384.01 13939.43 20782.41 16755.45 16972.83 19285.62 102
DPM-MVS75.47 4675.00 4776.88 4981.38 9159.16 5879.94 10085.71 2256.59 16172.46 7686.76 7956.89 3187.86 4166.36 8488.91 2583.64 170
PVSNet_Blended_VisFu71.45 9170.39 9774.65 9082.01 7958.82 7079.93 10180.35 13155.09 19365.82 18382.16 17949.17 10382.64 16160.34 13678.62 13382.50 193
PAPM_NR72.63 7271.80 7475.13 8181.72 8453.42 14379.91 10283.28 7559.14 11766.31 17285.90 10551.86 7786.06 8257.45 15280.62 9985.91 86
LS3D64.71 21462.50 22471.34 17179.72 12155.71 11279.82 10374.72 22548.50 26556.62 28484.62 12533.59 26682.34 16829.65 34875.23 16575.97 276
UGNet68.81 14167.39 15273.06 13678.33 15654.47 13079.77 10475.40 21260.45 9063.22 22084.40 13132.71 27880.91 19751.71 20180.56 10383.81 158
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
LFMVS71.78 8571.59 7672.32 15283.40 6746.38 24079.75 10571.08 25664.18 3072.80 7088.64 5742.58 17883.72 13357.41 15384.49 6486.86 56
OMC-MVS71.40 9270.60 9373.78 11076.60 20253.15 14879.74 10679.78 13558.37 13068.75 12186.45 9145.43 15280.60 20262.58 11777.73 13987.58 37
casdiffmvs_mvgpermissive76.14 3976.30 3475.66 6976.46 20651.83 17379.67 10785.08 3165.02 1775.84 3288.58 5859.42 2185.08 10672.75 4383.93 7090.08 1
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
无先验79.66 10874.30 23148.40 26780.78 20053.62 18379.03 247
Effi-MVS+73.31 6572.54 6975.62 7177.87 17053.64 13679.62 10979.61 13961.63 7572.02 8182.61 16656.44 3485.97 8663.99 10679.07 12587.25 48
PAPR71.72 8770.82 9174.41 9981.20 9651.17 17679.55 11083.33 7255.81 17766.93 16084.61 12650.95 8886.06 8255.79 16479.20 12286.00 83
ACMH55.70 1565.20 20963.57 21070.07 19478.07 16452.01 17179.48 11179.69 13655.75 17956.59 28580.98 20327.12 31780.94 19442.90 27571.58 21077.25 266
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
iter_conf0569.40 13367.62 14274.73 8577.84 17151.13 17779.28 11273.71 23954.62 20368.17 13183.59 14828.68 30787.16 5365.74 9276.95 14985.91 86
ETV-MVS74.46 5673.84 5976.33 5879.27 13055.24 12279.22 11385.00 3664.97 1972.65 7379.46 23353.65 6187.87 4067.45 7782.91 7985.89 88
原ACMM279.02 114
GeoE71.01 9670.15 10173.60 12379.57 12352.17 16678.93 11578.12 17458.02 13767.76 14783.87 14252.36 7182.72 15856.90 15575.79 15985.92 85
UA-Net73.13 6672.93 6673.76 11283.58 6451.66 17478.75 11677.66 18167.75 272.61 7489.42 4549.82 9583.29 14153.61 18483.14 7386.32 74
VDDNet71.81 8471.33 8373.26 13482.80 7547.60 23178.74 11775.27 21359.59 11272.94 6889.40 4641.51 19383.91 13058.75 14882.99 7688.26 12
v1070.21 11069.02 11973.81 10973.51 24750.92 18178.74 11781.39 10460.05 10266.39 17081.83 18747.58 12285.41 10362.80 11668.86 25285.09 122
CANet_DTU68.18 15767.71 14169.59 20474.83 22846.24 24278.66 11976.85 19459.60 10963.45 21982.09 18335.25 24877.41 25059.88 14178.76 13085.14 119
v870.33 10869.28 11573.49 12573.15 25050.22 19378.62 12080.78 12460.79 8466.45 16982.11 18249.35 9984.98 10963.58 11068.71 25385.28 116
alignmvs73.86 6173.99 5673.45 12778.20 15950.50 19078.57 12182.43 8759.40 11376.57 2986.71 8356.42 3581.23 18865.84 9081.79 9188.62 6
PLCcopyleft56.13 1465.09 21063.21 21670.72 18481.04 9854.87 12778.57 12177.47 18448.51 26455.71 28981.89 18533.71 26379.71 21341.66 28470.37 22377.58 260
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
v7n69.01 13967.36 15473.98 10572.51 26352.65 15578.54 12381.30 11160.26 9962.67 22781.62 19043.61 16984.49 11957.01 15468.70 25484.79 131
COLMAP_ROBcopyleft52.97 1761.27 24958.81 25268.64 21874.63 23352.51 16178.42 12473.30 24249.92 25450.96 32581.51 19423.06 33679.40 21831.63 33765.85 27374.01 300
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
CLD-MVS73.33 6472.68 6875.29 7878.82 14253.33 14578.23 12584.79 3961.30 7970.41 9381.04 20152.41 7087.12 5664.61 10282.49 8685.41 112
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
casdiffmvspermissive74.80 4974.89 4974.53 9675.59 21850.37 19178.17 12685.06 3362.80 5674.40 4887.86 6657.88 2683.61 13669.46 6282.79 8389.59 3
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
bld_raw_dy_0_6464.87 21263.22 21569.83 20174.79 23053.32 14678.15 12762.02 31651.20 24360.17 25183.12 15924.15 33474.20 27363.08 11372.33 20081.96 201
F-COLMAP63.05 23160.87 24469.58 20676.99 19653.63 13778.12 12876.16 20147.97 27252.41 32081.61 19127.87 31178.11 24040.07 29066.66 26877.00 269
EG-PatchMatch MVS64.71 21462.87 21970.22 19077.68 17553.48 14077.99 12978.82 15153.37 21856.03 28877.41 26224.75 33284.04 12646.37 24173.42 18373.14 304
dcpmvs_274.55 5575.23 4672.48 14782.34 7753.34 14477.87 13081.46 10257.80 14275.49 3486.81 7862.22 1377.75 24671.09 5482.02 8986.34 70
tttt051767.83 16465.66 18974.33 10176.69 19950.82 18377.86 13173.99 23554.54 20764.64 20682.53 16935.06 25085.50 9855.71 16569.91 23386.67 61
v114470.42 10669.31 11473.76 11273.22 24850.64 18677.83 13281.43 10358.58 12669.40 11281.16 19847.53 12385.29 10564.01 10570.64 21785.34 114
CNLPA65.43 20464.02 20369.68 20278.73 14558.07 7777.82 13370.71 26051.49 23661.57 24483.58 15138.23 22170.82 28443.90 26470.10 22980.16 232
VDD-MVS72.50 7372.09 7273.75 11481.58 8549.69 20477.76 13477.63 18263.21 4573.21 6289.02 5142.14 18283.32 14061.72 12682.50 8588.25 13
v119269.97 11568.68 12473.85 10773.19 24950.94 17977.68 13581.36 10657.51 14568.95 12080.85 20845.28 15585.33 10462.97 11570.37 22385.27 117
v2v48270.50 10569.45 11373.66 11872.62 26050.03 19877.58 13680.51 12859.90 10469.52 10882.14 18047.53 12384.88 11465.07 9870.17 22786.09 81
WR-MVS_H67.02 18166.92 16667.33 23377.95 16937.75 31377.57 13782.11 9262.03 7162.65 22882.48 17050.57 9179.46 21742.91 27464.01 28684.79 131
Anonymous2024052969.91 11669.02 11972.56 14580.19 11247.65 22977.56 13880.99 12055.45 18669.88 10486.76 7939.24 21082.18 17054.04 17977.10 14887.85 25
v14419269.71 12168.51 12673.33 13273.10 25150.13 19577.54 13980.64 12556.65 15568.57 12480.55 21146.87 13784.96 11162.98 11469.66 24084.89 128
baseline74.61 5374.70 5074.34 10075.70 21449.99 19977.54 13984.63 4062.73 5773.98 5287.79 6857.67 2883.82 13269.49 6082.74 8489.20 5
Fast-Effi-MVS+-dtu67.37 17165.33 19473.48 12672.94 25557.78 8177.47 14176.88 19357.60 14461.97 23876.85 26739.31 20880.49 20654.72 17470.28 22682.17 199
v192192069.47 13068.17 13473.36 13173.06 25250.10 19677.39 14280.56 12656.58 16268.59 12280.37 21344.72 16084.98 10962.47 12069.82 23585.00 124
tt080567.77 16567.24 16169.34 20974.87 22740.08 29377.36 14381.37 10555.31 18766.33 17184.65 12437.35 22982.55 16355.65 16772.28 20385.39 113
GBi-Net67.21 17366.55 16869.19 21077.63 17743.33 26977.31 14477.83 17856.62 15865.04 19982.70 16241.85 18680.33 20847.18 23472.76 19383.92 153
test167.21 17366.55 16869.19 21077.63 17743.33 26977.31 14477.83 17856.62 15865.04 19982.70 16241.85 18680.33 20847.18 23472.76 19383.92 153
FMVSNet166.70 18865.87 18569.19 21077.49 18543.33 26977.31 14477.83 17856.45 16364.60 20782.70 16238.08 22380.33 20846.08 24372.31 20283.92 153
MVS_111021_HR74.02 5973.46 6375.69 6883.01 7260.63 4077.29 14778.40 17061.18 8070.58 9185.97 10254.18 5284.00 12967.52 7682.98 7882.45 194
EIA-MVS71.78 8570.60 9375.30 7779.85 11853.54 13977.27 14883.26 7657.92 13966.49 16779.39 23452.07 7586.69 6760.05 13879.14 12485.66 99
v124069.24 13667.91 13773.25 13573.02 25449.82 20077.21 14980.54 12756.43 16468.34 12880.51 21243.33 17284.99 10762.03 12469.77 23884.95 127
jason69.65 12568.39 13273.43 12978.27 15856.88 9677.12 15073.71 23946.53 28669.34 11383.22 15543.37 17179.18 22264.77 9979.20 12284.23 144
jason: jason.
PAPM67.92 16266.69 16771.63 16278.09 16349.02 21277.09 15181.24 11551.04 24460.91 24783.98 14047.71 11984.99 10740.81 28779.32 12080.90 221
EI-MVSNet-Vis-set72.42 7671.59 7674.91 8278.47 15154.02 13277.05 15279.33 14565.03 1671.68 8479.35 23652.75 6584.89 11266.46 8374.23 17085.83 90
PEN-MVS66.60 19066.45 17067.04 23477.11 19236.56 32677.03 15380.42 12962.95 4862.51 23384.03 13846.69 13879.07 22844.22 25863.08 29585.51 105
FIs70.82 9971.43 7968.98 21478.33 15638.14 30976.96 15483.59 6361.02 8167.33 15286.73 8155.07 4281.64 17754.61 17779.22 12187.14 50
PS-CasMVS66.42 19466.32 17866.70 23877.60 18436.30 33176.94 15579.61 13962.36 6362.43 23583.66 14645.69 14478.37 23645.35 25563.26 29385.42 111
h-mvs3372.71 7171.49 7876.40 5681.99 8159.58 5176.92 15676.74 19760.40 9174.81 4285.95 10445.54 14885.76 9170.41 5770.61 21983.86 157
thisisatest053067.92 16265.78 18774.33 10176.29 20751.03 17876.89 15774.25 23253.67 21565.59 18681.76 18835.15 24985.50 9855.94 16072.47 19786.47 65
test_040263.25 22861.01 24169.96 19580.00 11654.37 13176.86 15872.02 25154.58 20658.71 27080.79 21035.00 25184.36 12126.41 35764.71 28271.15 328
CP-MVSNet66.49 19366.41 17466.72 23677.67 17636.33 32976.83 15979.52 14162.45 6162.54 23183.47 15446.32 14078.37 23645.47 25363.43 29285.45 108
EI-MVSNet-UG-set71.92 8371.06 8874.52 9777.98 16853.56 13876.62 16079.16 14664.40 2571.18 8778.95 24152.19 7384.66 11865.47 9473.57 17885.32 115
lupinMVS69.57 12768.28 13373.44 12878.76 14357.15 9276.57 16173.29 24346.19 28969.49 10982.18 17643.99 16779.23 22164.66 10079.37 11783.93 152
TranMVSNet+NR-MVSNet70.36 10770.10 10371.17 17578.64 14742.97 27476.53 16281.16 11766.95 468.53 12585.42 11551.61 8083.07 14552.32 19269.70 23987.46 39
TAPA-MVS59.36 1066.60 19065.20 19670.81 18176.63 20148.75 21676.52 16380.04 13450.64 24865.24 19684.93 11939.15 21178.54 23536.77 30776.88 15185.14 119
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
DTE-MVSNet65.58 20265.34 19366.31 24176.06 21134.79 33576.43 16479.38 14462.55 5961.66 24283.83 14345.60 14679.15 22641.64 28660.88 30985.00 124
anonymousdsp67.00 18264.82 19973.57 12470.09 29356.13 10476.35 16577.35 18848.43 26664.99 20280.84 20933.01 27180.34 20764.66 10067.64 26284.23 144
MVP-Stereo65.41 20563.80 20770.22 19077.62 18155.53 11876.30 16678.53 16150.59 24956.47 28678.65 24439.84 20382.68 15944.10 26272.12 20572.44 313
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MVS_Test72.45 7572.46 7072.42 15174.88 22648.50 21976.28 16783.14 7959.40 11372.46 7684.68 12255.66 3981.12 18965.98 8979.66 11387.63 34
IterMVS-LS69.22 13768.48 12771.43 16774.44 23849.40 20876.23 16877.55 18359.60 10965.85 18281.59 19351.28 8381.58 18059.87 14269.90 23483.30 175
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
新几何276.12 169
FMVSNet266.93 18366.31 17968.79 21777.63 17742.98 27376.11 17077.47 18456.62 15865.22 19882.17 17841.85 18680.18 21147.05 23772.72 19683.20 179
旧先验276.08 17145.32 29676.55 3065.56 31158.75 148
BH-untuned68.27 15467.29 15671.21 17379.74 11953.22 14776.06 17277.46 18657.19 14866.10 17481.61 19145.37 15483.50 13845.42 25476.68 15476.91 272
FC-MVSNet-test69.80 12070.58 9567.46 22977.61 18234.73 33876.05 17383.19 7760.84 8365.88 18186.46 9054.52 4980.76 20152.52 19178.12 13686.91 54
PCF-MVS61.88 870.95 9769.49 11175.35 7577.63 17755.71 11276.04 17481.81 9650.30 25069.66 10785.40 11652.51 6784.89 11251.82 19980.24 10785.45 108
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
UniMVSNet_NR-MVSNet71.11 9471.00 8971.44 16579.20 13244.13 26276.02 17582.60 8666.48 968.20 12984.60 12756.82 3282.82 15654.62 17570.43 22187.36 46
UniMVSNet (Re)70.63 10270.20 9971.89 15478.55 14845.29 25375.94 17682.92 8163.68 3868.16 13283.59 14853.89 5583.49 13953.97 18071.12 21486.89 55
EPNet_dtu61.90 24161.97 23061.68 28272.89 25639.78 29675.85 17765.62 29355.09 19354.56 30479.36 23537.59 22667.02 30339.80 29376.95 14978.25 252
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
v14868.24 15667.19 16371.40 16870.43 28747.77 22875.76 17877.03 19258.91 11967.36 15180.10 22048.60 11181.89 17360.01 13966.52 27084.53 136
SixPastTwentyTwo61.65 24458.80 25370.20 19275.80 21347.22 23475.59 17969.68 26554.61 20454.11 30879.26 23727.07 31882.96 14743.27 26949.79 34680.41 228
DELS-MVS74.76 5074.46 5275.65 7077.84 17152.25 16575.59 17984.17 4663.76 3673.15 6382.79 16159.58 1986.80 6467.24 7886.04 5587.89 22
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
FA-MVS(test-final)69.82 11868.48 12773.84 10878.44 15250.04 19775.58 18178.99 14958.16 13367.59 14882.14 18042.66 17685.63 9256.60 15676.19 15685.84 89
Baseline_NR-MVSNet67.05 18067.56 14365.50 25675.65 21537.70 31575.42 18274.65 22659.90 10468.14 13383.15 15849.12 10677.20 25252.23 19369.78 23681.60 206
OpenMVS_ROBcopyleft52.78 1860.03 25358.14 26065.69 25570.47 28644.82 25575.33 18370.86 25945.04 29756.06 28776.00 27826.89 32079.65 21435.36 31967.29 26372.60 309
xiu_mvs_v1_base_debu68.58 14767.28 15772.48 14778.19 16057.19 8975.28 18475.09 22051.61 23270.04 9781.41 19532.79 27479.02 22963.81 10777.31 14381.22 214
xiu_mvs_v1_base68.58 14767.28 15772.48 14778.19 16057.19 8975.28 18475.09 22051.61 23270.04 9781.41 19532.79 27479.02 22963.81 10777.31 14381.22 214
xiu_mvs_v1_base_debi68.58 14767.28 15772.48 14778.19 16057.19 8975.28 18475.09 22051.61 23270.04 9781.41 19532.79 27479.02 22963.81 10777.31 14381.22 214
EI-MVSNet69.27 13568.44 13171.73 15874.47 23649.39 20975.20 18778.45 16659.60 10969.16 11876.51 27351.29 8282.50 16459.86 14371.45 21283.30 175
CVMVSNet59.63 25759.14 25061.08 28774.47 23638.84 30475.20 18768.74 27531.15 34558.24 27576.51 27332.39 28368.58 29649.77 21365.84 27475.81 278
ET-MVSNet_ETH3D67.96 16165.72 18874.68 8876.67 20055.62 11775.11 18974.74 22452.91 22160.03 25380.12 21933.68 26482.64 16161.86 12576.34 15585.78 91
xiu_mvs_v2_base70.52 10369.75 10572.84 14081.21 9555.63 11575.11 18978.92 15054.92 20069.96 10379.68 22847.00 13682.09 17161.60 12879.37 11780.81 223
K. test v360.47 25257.11 26570.56 18673.74 24648.22 22275.10 19162.55 31258.27 13253.62 31476.31 27627.81 31281.59 17947.42 23139.18 35981.88 204
Fast-Effi-MVS+70.28 10969.12 11873.73 11578.50 14951.50 17575.01 19279.46 14356.16 17068.59 12279.55 23153.97 5384.05 12553.34 18677.53 14285.65 100
DU-MVS70.01 11369.53 11071.44 16578.05 16544.13 26275.01 19281.51 10164.37 2668.20 12984.52 12849.12 10682.82 15654.62 17570.43 22187.37 44
FMVSNet366.32 19565.61 19068.46 22076.48 20542.34 27774.98 19477.15 19155.83 17665.04 19981.16 19839.91 20280.14 21247.18 23472.76 19382.90 187
MTAPA76.90 3276.42 3378.35 3386.08 3763.57 274.92 19580.97 12165.13 1375.77 3390.88 1548.63 10986.66 6877.23 1988.17 3384.81 130
PS-MVSNAJ70.51 10469.70 10772.93 13881.52 8655.79 11174.92 19579.00 14855.04 19869.88 10478.66 24347.05 13282.19 16961.61 12779.58 11480.83 222
MVS_111021_LR69.50 12968.78 12371.65 16178.38 15359.33 5574.82 19770.11 26358.08 13467.83 14384.68 12241.96 18476.34 26265.62 9377.54 14179.30 245
ECVR-MVScopyleft67.72 16667.51 14768.35 22279.46 12536.29 33274.79 19866.93 28558.72 12267.19 15488.05 6336.10 24281.38 18352.07 19584.25 6687.39 42
test_yl69.69 12269.13 11671.36 16978.37 15445.74 24774.71 19980.20 13257.91 14070.01 10183.83 14342.44 17982.87 15254.97 17179.72 11185.48 106
DCV-MVSNet69.69 12269.13 11671.36 16978.37 15445.74 24774.71 19980.20 13257.91 14070.01 10183.83 14342.44 17982.87 15254.97 17179.72 11185.48 106
TransMVSNet (Re)64.72 21364.33 20165.87 25375.22 22338.56 30674.66 20175.08 22358.90 12061.79 24182.63 16551.18 8478.07 24143.63 26755.87 32980.99 220
BH-w/o66.85 18465.83 18669.90 19979.29 12852.46 16274.66 20176.65 19854.51 20864.85 20378.12 24945.59 14782.95 14843.26 27075.54 16274.27 297
PVSNet_BlendedMVS68.56 15067.72 13971.07 17877.03 19450.57 18774.50 20381.52 9953.66 21664.22 21379.72 22749.13 10482.87 15255.82 16273.92 17379.77 240
c3_l68.33 15367.56 14370.62 18570.87 28246.21 24374.47 20478.80 15356.22 16966.19 17378.53 24851.88 7681.40 18262.08 12169.04 24984.25 143
test250665.33 20764.61 20067.50 22879.46 12534.19 34274.43 20551.92 34558.72 12266.75 16388.05 6325.99 32580.92 19651.94 19784.25 6687.39 42
BH-RMVSNet68.81 14167.42 15172.97 13780.11 11552.53 16074.26 20676.29 20058.48 12868.38 12784.20 13342.59 17783.83 13146.53 23975.91 15882.56 189
NR-MVSNet69.54 12868.85 12171.59 16378.05 16543.81 26674.20 20780.86 12365.18 1262.76 22584.52 12852.35 7283.59 13750.96 20770.78 21687.37 44
UniMVSNet_ETH3D67.60 16867.07 16569.18 21377.39 18742.29 27874.18 20875.59 20960.37 9466.77 16286.06 9937.64 22578.93 23452.16 19473.49 18086.32 74
VPA-MVSNet69.02 13869.47 11267.69 22777.42 18641.00 29174.04 20979.68 13760.06 10169.26 11684.81 12151.06 8777.58 24854.44 17874.43 16884.48 138
miper_ehance_all_eth68.03 15967.24 16170.40 18970.54 28546.21 24373.98 21078.68 15755.07 19666.05 17577.80 25752.16 7481.31 18561.53 13169.32 24383.67 166
hse-mvs271.04 9569.86 10474.60 9379.58 12257.12 9473.96 21175.25 21460.40 9174.81 4281.95 18445.54 14882.90 14970.41 5766.83 26783.77 162
131464.61 21663.21 21668.80 21671.87 27247.46 23273.95 21278.39 17142.88 31759.97 25476.60 27238.11 22279.39 21954.84 17372.32 20179.55 241
MVS67.37 17166.33 17770.51 18875.46 22050.94 17973.95 21281.85 9541.57 32462.54 23178.57 24747.98 11585.47 10052.97 18982.05 8875.14 284
AUN-MVS68.45 15266.41 17474.57 9579.53 12457.08 9573.93 21475.23 21554.44 20966.69 16481.85 18637.10 23682.89 15062.07 12266.84 26683.75 163
OurMVSNet-221017-061.37 24858.63 25569.61 20372.05 26948.06 22473.93 21472.51 24847.23 28254.74 30180.92 20521.49 34381.24 18748.57 22656.22 32879.53 242
test111167.21 17367.14 16467.42 23079.24 13134.76 33773.89 21665.65 29258.71 12466.96 15887.95 6536.09 24380.53 20352.03 19683.79 7186.97 52
cl2267.47 17066.45 17070.54 18769.85 29846.49 23973.85 21777.35 18855.07 19665.51 18777.92 25347.64 12181.10 19061.58 12969.32 24384.01 151
TAMVS66.78 18765.27 19571.33 17279.16 13553.67 13573.84 21869.59 26752.32 22865.28 19181.72 18944.49 16377.40 25142.32 27878.66 13282.92 185
WR-MVS68.47 15168.47 12968.44 22180.20 11139.84 29573.75 21976.07 20364.68 2068.11 13483.63 14750.39 9379.14 22749.78 21269.66 24086.34 70
eth_miper_zixun_eth67.63 16766.28 18071.67 16071.60 27448.33 22173.68 22077.88 17655.80 17865.91 17878.62 24647.35 12982.88 15159.45 14566.25 27183.81 158
TR-MVS66.59 19265.07 19771.17 17579.18 13349.63 20673.48 22175.20 21752.95 22067.90 13780.33 21639.81 20483.68 13443.20 27173.56 17980.20 231
cl____67.18 17666.26 18169.94 19670.20 29045.74 24773.30 22276.83 19555.10 19165.27 19279.57 23047.39 12780.53 20359.41 14769.22 24783.53 172
DIV-MVS_self_test67.18 17666.26 18169.94 19670.20 29045.74 24773.29 22376.83 19555.10 19165.27 19279.58 22947.38 12880.53 20359.43 14669.22 24783.54 171
CDS-MVSNet66.80 18665.37 19271.10 17778.98 13853.13 15073.27 22471.07 25752.15 22964.72 20480.23 21843.56 17077.10 25345.48 25278.88 12683.05 184
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
pmmvs663.69 22262.82 22166.27 24370.63 28439.27 30173.13 22575.47 21152.69 22459.75 26082.30 17439.71 20577.03 25547.40 23264.35 28582.53 191
IB-MVS56.42 1265.40 20662.73 22273.40 13074.89 22552.78 15473.09 22675.13 21855.69 18058.48 27473.73 29932.86 27386.32 8050.63 20870.11 22881.10 218
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
diffmvspermissive70.69 10170.43 9671.46 16469.45 30248.95 21472.93 22778.46 16557.27 14771.69 8383.97 14151.48 8177.92 24370.70 5677.95 13887.53 38
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
V4268.65 14567.35 15572.56 14568.93 30750.18 19472.90 22879.47 14256.92 15269.45 11180.26 21746.29 14182.99 14664.07 10367.82 26084.53 136
miper_enhance_ethall67.11 17966.09 18370.17 19369.21 30445.98 24572.85 22978.41 16951.38 23865.65 18475.98 28151.17 8581.25 18660.82 13369.32 24383.29 177
thres100view90063.28 22762.41 22565.89 25277.31 18938.66 30572.65 23069.11 27357.07 14962.45 23481.03 20237.01 23879.17 22331.84 33373.25 18679.83 238
testdata172.65 23060.50 89
FE-MVS65.91 19863.33 21473.63 12177.36 18851.95 17272.62 23275.81 20553.70 21465.31 19078.96 24028.81 30686.39 7743.93 26373.48 18182.55 190
pm-mvs165.24 20864.97 19866.04 24972.38 26439.40 30072.62 23275.63 20855.53 18462.35 23783.18 15747.45 12576.47 26049.06 22266.54 26982.24 196
test22283.14 6858.68 7272.57 23463.45 30641.78 32067.56 14986.12 9637.13 23578.73 13174.98 288
PVSNet_Blended68.59 14667.72 13971.19 17477.03 19450.57 18772.51 23581.52 9951.91 23064.22 21377.77 25949.13 10482.87 15255.82 16279.58 11480.14 233
EU-MVSNet55.61 28254.41 28559.19 29365.41 32833.42 34672.44 23671.91 25228.81 34751.27 32373.87 29824.76 33169.08 29443.04 27258.20 32075.06 285
thres600view763.30 22662.27 22666.41 24077.18 19138.87 30372.35 23769.11 27356.98 15162.37 23680.96 20437.01 23879.00 23231.43 34073.05 19081.36 210
pmmvs-eth3d58.81 26056.31 27366.30 24267.61 31452.42 16472.30 23864.76 29943.55 31154.94 29974.19 29628.95 30372.60 27643.31 26857.21 32373.88 301
cascas65.98 19763.42 21273.64 12077.26 19052.58 15872.26 23977.21 19048.56 26361.21 24674.60 29332.57 28285.82 9050.38 21076.75 15382.52 192
VPNet67.52 16968.11 13565.74 25479.18 13336.80 32472.17 24072.83 24662.04 7067.79 14585.83 10748.88 10876.60 25951.30 20372.97 19183.81 158
MS-PatchMatch62.42 23561.46 23565.31 26075.21 22452.10 16772.05 24174.05 23446.41 28757.42 28174.36 29434.35 25877.57 24945.62 24973.67 17566.26 343
mvs_anonymous68.03 15967.51 14769.59 20472.08 26844.57 26071.99 24275.23 21551.67 23167.06 15682.57 16754.68 4777.94 24256.56 15775.71 16186.26 78
patch_mono-269.85 11771.09 8766.16 24579.11 13654.80 12871.97 24374.31 23053.50 21770.90 8984.17 13457.63 2963.31 31666.17 8582.02 8980.38 229
tfpn200view963.18 22962.18 22866.21 24476.85 19739.62 29771.96 24469.44 26956.63 15662.61 22979.83 22337.18 23179.17 22331.84 33373.25 18679.83 238
thres40063.31 22562.18 22866.72 23676.85 19739.62 29771.96 24469.44 26956.63 15662.61 22979.83 22337.18 23179.17 22331.84 33373.25 18681.36 210
baseline163.81 22163.87 20663.62 26876.29 20736.36 32771.78 24667.29 28256.05 17264.23 21282.95 16047.11 13174.41 27047.30 23361.85 30380.10 234
baseline263.42 22461.26 23869.89 20072.55 26247.62 23071.54 24768.38 27750.11 25154.82 30075.55 28543.06 17480.96 19348.13 22867.16 26581.11 217
pmmvs461.48 24759.39 24867.76 22671.57 27553.86 13471.42 24865.34 29544.20 30559.46 26277.92 25335.90 24474.71 26843.87 26564.87 28174.71 293
1112_ss64.00 22063.36 21365.93 25179.28 12942.58 27671.35 24972.36 25046.41 28760.55 24977.89 25546.27 14273.28 27446.18 24269.97 23181.92 203
thisisatest051565.83 19963.50 21172.82 14273.75 24549.50 20771.32 25073.12 24549.39 25663.82 21576.50 27534.95 25284.84 11553.20 18875.49 16384.13 148
CostFormer64.04 21962.51 22368.61 21971.88 27145.77 24671.30 25170.60 26147.55 27664.31 21076.61 27141.63 18979.62 21649.74 21469.00 25080.42 227
tfpnnormal62.47 23461.63 23364.99 26274.81 22939.01 30271.22 25273.72 23855.22 19060.21 25080.09 22141.26 19776.98 25630.02 34668.09 25878.97 248
IterMVS62.79 23261.27 23767.35 23269.37 30352.04 17071.17 25368.24 27852.63 22559.82 25776.91 26637.32 23072.36 27752.80 19063.19 29477.66 259
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
Vis-MVSNet (Re-imp)63.69 22263.88 20563.14 27374.75 23131.04 35571.16 25463.64 30556.32 16559.80 25884.99 11844.51 16175.46 26539.12 29680.62 9982.92 185
IterMVS-SCA-FT62.49 23361.52 23465.40 25871.99 27050.80 18471.15 25569.63 26645.71 29560.61 24877.93 25237.45 22765.99 30955.67 16663.50 29179.42 243
Anonymous20240521166.84 18565.99 18469.40 20880.19 11242.21 27971.11 25671.31 25558.80 12167.90 13786.39 9229.83 29779.65 21449.60 21878.78 12986.33 72
Anonymous2024052155.30 28354.41 28557.96 30260.92 34941.73 28471.09 25771.06 25841.18 32548.65 33473.31 30116.93 34759.25 33142.54 27664.01 28672.90 306
tpm262.07 23960.10 24767.99 22572.79 25743.86 26571.05 25866.85 28643.14 31562.77 22475.39 28738.32 21980.80 19941.69 28368.88 25179.32 244
TDRefinement53.44 29550.72 30361.60 28364.31 33346.96 23670.89 25965.27 29741.78 32044.61 34777.98 25011.52 35966.36 30728.57 35251.59 34071.49 325
XVG-ACMP-BASELINE64.36 21862.23 22770.74 18372.35 26552.45 16370.80 26078.45 16653.84 21359.87 25681.10 20016.24 34979.32 22055.64 16871.76 20780.47 226
XVG-OURS-SEG-HR68.81 14167.47 15072.82 14274.40 23956.87 9770.59 26179.04 14754.77 20266.99 15786.01 10139.57 20678.21 23962.54 11873.33 18483.37 174
VNet69.68 12470.19 10068.16 22479.73 12041.63 28770.53 26277.38 18760.37 9470.69 9086.63 8551.08 8677.09 25453.61 18481.69 9685.75 96
GA-MVS65.53 20363.70 20871.02 17970.87 28248.10 22370.48 26374.40 22856.69 15464.70 20576.77 26833.66 26581.10 19055.42 17070.32 22583.87 156
MSDG61.81 24359.23 24969.55 20772.64 25952.63 15770.45 26475.81 20551.38 23853.70 31176.11 27729.52 29881.08 19237.70 30265.79 27574.93 289
ab-mvs66.65 18966.42 17367.37 23176.17 20941.73 28470.41 26576.14 20253.99 21165.98 17683.51 15249.48 9876.24 26348.60 22573.46 18284.14 147
EGC-MVSNET42.47 32038.48 32754.46 31674.33 24048.73 21770.33 26651.10 3470.03 3770.18 37867.78 33413.28 35466.49 30618.91 36350.36 34448.15 359
MVSTER67.16 17865.58 19171.88 15570.37 28949.70 20270.25 26778.45 16651.52 23569.16 11880.37 21338.45 21782.50 16460.19 13771.46 21183.44 173
XVG-OURS68.76 14467.37 15372.90 13974.32 24157.22 8770.09 26878.81 15255.24 18967.79 14585.81 10936.54 24178.28 23862.04 12375.74 16083.19 180
HY-MVS56.14 1364.55 21763.89 20466.55 23974.73 23241.02 28969.96 26974.43 22749.29 25761.66 24280.92 20547.43 12676.68 25844.91 25771.69 20881.94 202
AllTest57.08 27354.65 28264.39 26571.44 27649.03 21069.92 27067.30 28045.97 29247.16 33879.77 22517.47 34567.56 30033.65 32459.16 31776.57 273
thres20062.20 23861.16 24065.34 25975.38 22239.99 29469.60 27169.29 27155.64 18361.87 24076.99 26437.07 23778.96 23331.28 34173.28 18577.06 267
tpmrst58.24 26458.70 25456.84 30666.97 31734.32 34069.57 27261.14 31947.17 28358.58 27371.60 31041.28 19660.41 32649.20 22062.84 29675.78 279
PatchmatchNetpermissive59.84 25558.24 25864.65 26473.05 25346.70 23869.42 27362.18 31447.55 27658.88 26971.96 30834.49 25669.16 29342.99 27363.60 29078.07 254
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
MVS_030458.51 26157.36 26461.96 28170.04 29441.83 28269.40 27465.46 29450.73 24553.30 31874.06 29722.65 33770.18 29142.16 27968.44 25573.86 302
GG-mvs-BLEND62.34 27871.36 28037.04 32269.20 27557.33 33154.73 30265.48 34230.37 29277.82 24434.82 32074.93 16672.17 318
HyFIR lowres test65.67 20163.01 21873.67 11779.97 11755.65 11469.07 27675.52 21042.68 31863.53 21877.95 25140.43 20081.64 17746.01 24471.91 20683.73 164
test_post168.67 2773.64 37532.39 28369.49 29244.17 259
Test_1112_low_res62.32 23661.77 23164.00 26779.08 13739.53 29968.17 27870.17 26243.25 31359.03 26879.90 22244.08 16571.24 28343.79 26668.42 25681.25 213
tpm cat159.25 25856.95 26866.15 24672.19 26746.96 23668.09 27965.76 29140.03 33357.81 27870.56 31638.32 21974.51 26938.26 30061.50 30677.00 269
ppachtmachnet_test58.06 26755.38 27866.10 24869.51 30048.99 21368.01 28066.13 29044.50 30254.05 30970.74 31532.09 28572.34 27836.68 31056.71 32776.99 271
tpmvs58.47 26256.95 26863.03 27570.20 29041.21 28867.90 28167.23 28349.62 25554.73 30270.84 31434.14 25976.24 26336.64 31161.29 30771.64 322
CL-MVSNet_self_test61.53 24560.94 24263.30 27168.95 30636.93 32367.60 28272.80 24755.67 18159.95 25576.63 26945.01 15872.22 28039.74 29462.09 30280.74 224
test_vis1_n_192058.86 25959.06 25158.25 29863.76 33443.14 27267.49 28366.36 28940.22 33165.89 18071.95 30931.04 28759.75 32959.94 14064.90 28071.85 321
tpm57.34 27158.16 25954.86 31371.80 27334.77 33667.47 28456.04 33748.20 26960.10 25276.92 26537.17 23353.41 35140.76 28865.01 27976.40 275
gg-mvs-nofinetune57.86 26856.43 27262.18 27972.62 26035.35 33466.57 28556.33 33450.65 24757.64 27957.10 35430.65 29076.36 26137.38 30478.88 12674.82 291
TinyColmap54.14 28851.72 29861.40 28566.84 31941.97 28066.52 28668.51 27644.81 29842.69 35275.77 28211.66 35772.94 27531.96 33156.77 32669.27 339
pmmvs556.47 27555.68 27658.86 29561.41 34436.71 32566.37 28762.75 31140.38 33053.70 31176.62 27034.56 25467.05 30240.02 29265.27 27772.83 307
CHOSEN 1792x268865.08 21162.84 22071.82 15681.49 8856.26 10266.32 28874.20 23340.53 32963.16 22278.65 24441.30 19477.80 24545.80 24674.09 17181.40 209
our_test_356.49 27454.42 28462.68 27769.51 30045.48 25266.08 28961.49 31844.11 30850.73 32969.60 32633.05 27068.15 29738.38 29956.86 32474.40 295
PM-MVS52.33 29950.19 30658.75 29662.10 34145.14 25465.75 29040.38 36543.60 31053.52 31572.65 3039.16 36565.87 31050.41 20954.18 33465.24 345
D2MVS62.30 23760.29 24668.34 22366.46 32248.42 22065.70 29173.42 24147.71 27458.16 27675.02 28930.51 29177.71 24753.96 18171.68 20978.90 249
MIMVSNet155.17 28654.31 28757.77 30470.03 29532.01 35265.68 29264.81 29849.19 25846.75 34176.00 27825.53 32864.04 31428.65 35162.13 30177.26 265
PatchMatch-RL56.25 27854.55 28361.32 28677.06 19356.07 10665.57 29354.10 34244.13 30753.49 31771.27 31325.20 32966.78 30436.52 31363.66 28961.12 346
test-LLR58.15 26658.13 26158.22 29968.57 30844.80 25665.46 29457.92 32850.08 25255.44 29269.82 32332.62 27957.44 33649.66 21673.62 17672.41 314
TESTMET0.1,155.28 28454.90 28156.42 30766.56 32143.67 26765.46 29456.27 33539.18 33653.83 31067.44 33524.21 33355.46 34648.04 22973.11 18970.13 334
test-mter56.42 27655.82 27558.22 29968.57 30844.80 25665.46 29457.92 32839.94 33455.44 29269.82 32321.92 34057.44 33649.66 21673.62 17672.41 314
CR-MVSNet59.91 25457.90 26265.96 25069.96 29652.07 16865.31 29763.15 30942.48 31959.36 26374.84 29035.83 24570.75 28545.50 25164.65 28375.06 285
RPMNet61.53 24558.42 25670.86 18069.96 29652.07 16865.31 29781.36 10643.20 31459.36 26370.15 32135.37 24785.47 10036.42 31464.65 28375.06 285
USDC56.35 27754.24 28862.69 27664.74 33040.31 29265.05 29973.83 23743.93 30947.58 33677.71 26015.36 35175.05 26738.19 30161.81 30472.70 308
MDTV_nov1_ep1357.00 26772.73 25838.26 30865.02 30064.73 30044.74 29955.46 29172.48 30432.61 28170.47 28637.47 30367.75 261
CMPMVSbinary42.80 2157.81 26955.97 27463.32 27060.98 34747.38 23364.66 30169.50 26832.06 34446.83 34077.80 25729.50 29971.36 28248.68 22473.75 17471.21 327
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
RPSCF55.80 28154.22 28960.53 28865.13 32942.91 27564.30 30257.62 33036.84 33958.05 27782.28 17528.01 31056.24 34337.14 30558.61 31982.44 195
XXY-MVS60.68 25061.67 23257.70 30570.43 28738.45 30764.19 30366.47 28748.05 27163.22 22080.86 20749.28 10160.47 32545.25 25667.28 26474.19 298
FMVSNet555.86 28054.93 28058.66 29771.05 28136.35 32864.18 30462.48 31346.76 28550.66 33074.73 29225.80 32664.04 31433.11 32765.57 27675.59 281
SCA60.49 25158.38 25766.80 23574.14 24448.06 22463.35 30563.23 30849.13 25959.33 26672.10 30637.45 22774.27 27144.17 25962.57 29878.05 255
Patchmtry57.16 27256.47 27159.23 29169.17 30534.58 33962.98 30663.15 30944.53 30156.83 28374.84 29035.83 24568.71 29540.03 29160.91 30874.39 296
Anonymous2023120655.10 28755.30 27954.48 31569.81 29933.94 34462.91 30762.13 31541.08 32655.18 29675.65 28332.75 27756.59 34130.32 34567.86 25972.91 305
MIMVSNet57.35 27057.07 26658.22 29974.21 24337.18 31862.46 30860.88 32048.88 26155.29 29575.99 28031.68 28662.04 32131.87 33272.35 19975.43 283
dp51.89 30151.60 29952.77 32668.44 31132.45 35162.36 30954.57 33944.16 30649.31 33367.91 33128.87 30556.61 34033.89 32354.89 33169.24 340
EPMVS53.96 28953.69 29254.79 31466.12 32531.96 35362.34 31049.05 35144.42 30455.54 29071.33 31230.22 29456.70 33941.65 28562.54 29975.71 280
pmmvs344.92 31741.95 32253.86 31852.58 35943.55 26862.11 31146.90 35926.05 35440.63 35460.19 35011.08 36257.91 33531.83 33646.15 35060.11 347
test_vis1_n49.89 30948.69 31153.50 32253.97 35537.38 31761.53 31247.33 35728.54 34859.62 26167.10 33713.52 35352.27 35449.07 22157.52 32270.84 330
PVSNet50.76 1958.40 26357.39 26361.42 28475.53 21944.04 26461.43 31363.45 30647.04 28456.91 28273.61 30027.00 31964.76 31239.12 29672.40 19875.47 282
LCM-MVSNet-Re61.88 24261.35 23663.46 26974.58 23431.48 35461.42 31458.14 32758.71 12453.02 31979.55 23143.07 17376.80 25745.69 24777.96 13782.11 200
test20.0353.87 29154.02 29053.41 32361.47 34328.11 36261.30 31559.21 32351.34 24052.09 32177.43 26133.29 26958.55 33329.76 34760.27 31473.58 303
MDTV_nov1_ep13_2view25.89 36761.22 31640.10 33251.10 32432.97 27238.49 29878.61 250
PMMVS53.96 28953.26 29556.04 30862.60 34050.92 18161.17 31756.09 33632.81 34353.51 31666.84 33834.04 26059.93 32844.14 26168.18 25757.27 352
test_fmvs1_n51.37 30350.35 30554.42 31752.85 35737.71 31461.16 31851.93 34428.15 34963.81 21669.73 32513.72 35253.95 34951.16 20460.65 31271.59 323
WTY-MVS59.75 25660.39 24557.85 30372.32 26637.83 31261.05 31964.18 30345.95 29461.91 23979.11 23947.01 13560.88 32442.50 27769.49 24274.83 290
Patchmatch-RL test58.16 26555.49 27766.15 24667.92 31348.89 21560.66 32051.07 34847.86 27359.36 26362.71 34834.02 26172.27 27956.41 15859.40 31677.30 263
test_fmvs151.32 30550.48 30453.81 31953.57 35637.51 31660.63 32151.16 34628.02 35163.62 21769.23 32816.41 34853.93 35051.01 20560.70 31169.99 335
LTVRE_ROB55.42 1663.15 23061.23 23968.92 21576.57 20347.80 22659.92 32276.39 19954.35 21058.67 27182.46 17129.44 30081.49 18142.12 28071.14 21377.46 261
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
test0.0.03 153.32 29653.59 29352.50 32762.81 33929.45 35859.51 32354.11 34150.08 25254.40 30674.31 29532.62 27955.92 34430.50 34463.95 28872.15 319
UnsupCasMVSNet_eth53.16 29852.47 29655.23 31159.45 35133.39 34759.43 32469.13 27245.98 29150.35 33272.32 30529.30 30158.26 33442.02 28244.30 35274.05 299
MVS-HIRNet45.52 31644.48 31948.65 33568.49 31034.05 34359.41 32544.50 36127.03 35237.96 35950.47 36226.16 32464.10 31326.74 35659.52 31547.82 361
testgi51.90 30052.37 29750.51 33360.39 35023.55 37258.42 32658.15 32649.03 26051.83 32279.21 23822.39 33855.59 34529.24 35062.64 29772.40 316
PatchT53.17 29753.44 29452.33 32868.29 31225.34 36958.21 32754.41 34044.46 30354.56 30469.05 32933.32 26860.94 32336.93 30661.76 30570.73 331
sss56.17 27956.57 27054.96 31266.93 31836.32 33057.94 32861.69 31741.67 32258.64 27275.32 28838.72 21556.25 34242.04 28166.19 27272.31 317
test_fmvs248.69 31147.49 31652.29 32948.63 36333.06 34957.76 32948.05 35525.71 35559.76 25969.60 32611.57 35852.23 35549.45 21956.86 32471.58 324
KD-MVS_self_test55.22 28553.89 29159.21 29257.80 35427.47 36457.75 33074.32 22947.38 27850.90 32670.00 32228.45 30870.30 28940.44 28957.92 32179.87 237
UnsupCasMVSNet_bld50.07 30848.87 30953.66 32060.97 34833.67 34557.62 33164.56 30139.47 33547.38 33764.02 34627.47 31459.32 33034.69 32143.68 35367.98 342
ANet_high41.38 32237.47 32953.11 32439.73 37324.45 37056.94 33269.69 26447.65 27526.04 36552.32 35712.44 35562.38 32021.80 36010.61 37472.49 311
MDA-MVSNet-bldmvs53.87 29150.81 30263.05 27466.25 32348.58 21856.93 33363.82 30448.09 27041.22 35370.48 31930.34 29368.00 29934.24 32245.92 35172.57 310
test1234.73 3466.30 3490.02 3600.01 3830.01 38456.36 3340.00 3840.01 3780.04 3790.21 3790.01 3830.00 3790.03 3780.00 3770.04 375
miper_lstm_enhance62.03 24060.88 24365.49 25766.71 32046.25 24156.29 33575.70 20750.68 24661.27 24575.48 28640.21 20168.03 29856.31 15965.25 27882.18 197
KD-MVS_2432*160053.45 29351.50 30059.30 28962.82 33737.14 31955.33 33671.79 25347.34 28055.09 29770.52 31721.91 34170.45 28735.72 31742.97 35470.31 332
miper_refine_blended53.45 29351.50 30059.30 28962.82 33737.14 31955.33 33671.79 25347.34 28055.09 29770.52 31721.91 34170.45 28735.72 31742.97 35470.31 332
LF4IMVS42.95 31942.26 32145.04 33948.30 36432.50 35054.80 33848.49 35328.03 35040.51 35570.16 3209.24 36443.89 36431.63 33749.18 34858.72 349
PMVScopyleft28.69 2236.22 32933.29 33345.02 34036.82 37535.98 33354.68 33948.74 35226.31 35321.02 36851.61 3592.88 37760.10 3279.99 37347.58 34938.99 368
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
PVSNet_043.31 2047.46 31545.64 31852.92 32567.60 31544.65 25854.06 34054.64 33841.59 32346.15 34358.75 35130.99 28858.66 33232.18 33024.81 36755.46 354
testmvs4.52 3476.03 3500.01 3610.01 3830.00 38553.86 3410.00 3840.01 3780.04 3790.27 3780.00 3840.00 3790.04 3770.00 3770.03 376
test_fmvs344.30 31842.55 32049.55 33442.83 36727.15 36553.03 34244.93 36022.03 36253.69 31364.94 3434.21 37249.63 35747.47 23049.82 34571.88 320
APD_test137.39 32834.94 33144.72 34148.88 36233.19 34852.95 34344.00 36219.49 36327.28 36458.59 3523.18 37652.84 35218.92 36241.17 35748.14 360
YYNet150.73 30648.96 30756.03 30961.10 34641.78 28351.94 34456.44 33340.94 32844.84 34567.80 33330.08 29555.08 34736.77 30750.71 34271.22 326
MDA-MVSNet_test_wron50.71 30748.95 30856.00 31061.17 34541.84 28151.90 34556.45 33240.96 32744.79 34667.84 33230.04 29655.07 34836.71 30950.69 34371.11 329
ADS-MVSNet251.33 30448.76 31059.07 29466.02 32644.60 25950.90 34659.76 32236.90 33750.74 32766.18 34026.38 32163.11 31727.17 35354.76 33269.50 337
ADS-MVSNet48.48 31247.77 31350.63 33266.02 32629.92 35750.90 34650.87 35036.90 33750.74 32766.18 34026.38 32152.47 35327.17 35354.76 33269.50 337
FPMVS42.18 32141.11 32345.39 33858.03 35341.01 29049.50 34853.81 34330.07 34633.71 36064.03 34411.69 35652.08 35614.01 36755.11 33043.09 363
N_pmnet39.35 32640.28 32436.54 34963.76 3341.62 38349.37 3490.76 38334.62 34243.61 35066.38 33926.25 32342.57 36526.02 35851.77 33965.44 344
new-patchmatchnet47.56 31447.73 31447.06 33658.81 3529.37 37948.78 35059.21 32343.28 31244.22 34868.66 33025.67 32757.20 33831.57 33949.35 34774.62 294
test_vis1_rt41.35 32339.45 32547.03 33746.65 36637.86 31147.76 35138.65 36623.10 35844.21 34951.22 36011.20 36144.08 36339.27 29553.02 33759.14 348
JIA-IIPM51.56 30247.68 31563.21 27264.61 33150.73 18547.71 35258.77 32542.90 31648.46 33551.72 35824.97 33070.24 29036.06 31653.89 33568.64 341
ambc65.13 26163.72 33637.07 32147.66 35378.78 15454.37 30771.42 31111.24 36080.94 19445.64 24853.85 33677.38 262
testf131.46 33528.89 33839.16 34541.99 37028.78 36046.45 35437.56 36714.28 37021.10 36648.96 3631.48 38047.11 35913.63 36834.56 36341.60 364
APD_test231.46 33528.89 33839.16 34541.99 37028.78 36046.45 35437.56 36714.28 37021.10 36648.96 3631.48 38047.11 35913.63 36834.56 36341.60 364
Patchmatch-test49.08 31048.28 31251.50 33164.40 33230.85 35645.68 35648.46 35435.60 34046.10 34472.10 30634.47 25746.37 36127.08 35560.65 31277.27 264
DSMNet-mixed39.30 32738.72 32641.03 34451.22 36019.66 37545.53 35731.35 37215.83 36939.80 35767.42 33622.19 33945.13 36222.43 35952.69 33858.31 350
LCM-MVSNet40.30 32435.88 33053.57 32142.24 36829.15 35945.21 35860.53 32122.23 36128.02 36350.98 3613.72 37461.78 32231.22 34238.76 36069.78 336
new_pmnet34.13 33134.29 33233.64 35152.63 35818.23 37744.43 35933.90 37122.81 35930.89 36253.18 35610.48 36335.72 37220.77 36139.51 35846.98 362
mvsany_test139.38 32538.16 32843.02 34349.05 36134.28 34144.16 36025.94 37622.74 36046.57 34262.21 34923.85 33541.16 36833.01 32835.91 36253.63 355
E-PMN23.77 33822.73 34226.90 35442.02 36920.67 37442.66 36135.70 36917.43 36510.28 37525.05 3716.42 36742.39 36610.28 37214.71 37117.63 370
EMVS22.97 33921.84 34326.36 35540.20 37219.53 37641.95 36234.64 37017.09 3669.73 37622.83 3727.29 36642.22 3679.18 37413.66 37217.32 371
test_vis3_rt32.09 33330.20 33737.76 34835.36 37727.48 36340.60 36328.29 37516.69 36732.52 36140.53 3661.96 37837.40 37033.64 32642.21 35648.39 358
CHOSEN 280x42047.83 31346.36 31752.24 33067.37 31649.78 20138.91 36443.11 36335.00 34143.27 35163.30 34728.95 30349.19 35836.53 31260.80 31057.76 351
mvsany_test332.62 33230.57 33638.77 34736.16 37624.20 37138.10 36520.63 37819.14 36440.36 35657.43 3535.06 36936.63 37129.59 34928.66 36655.49 353
test_f31.86 33431.05 33534.28 35032.33 37921.86 37332.34 36630.46 37316.02 36839.78 35855.45 3554.80 37032.36 37330.61 34337.66 36148.64 357
PMMVS227.40 33725.91 34031.87 35339.46 3746.57 38031.17 36728.52 37423.96 35620.45 36948.94 3654.20 37337.94 36916.51 36419.97 36951.09 356
wuyk23d13.32 34312.52 34615.71 35747.54 36526.27 36631.06 3681.98 3824.93 3745.18 3771.94 3770.45 38218.54 3766.81 37612.83 3732.33 374
Gipumacopyleft34.77 33031.91 33443.33 34262.05 34237.87 31020.39 36967.03 28423.23 35718.41 37025.84 3704.24 37162.73 31814.71 36651.32 34129.38 369
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
MVEpermissive17.77 2321.41 34017.77 34532.34 35234.34 37825.44 36816.11 37024.11 37711.19 37213.22 37231.92 3681.58 37930.95 37410.47 37117.03 37040.62 367
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
tmp_tt9.43 34411.14 3474.30 3592.38 3824.40 38113.62 37116.08 3800.39 37615.89 37113.06 37315.80 3505.54 37812.63 37010.46 3752.95 373
test_method19.68 34118.10 34424.41 35613.68 3813.11 38212.06 37242.37 3642.00 37511.97 37336.38 3675.77 36829.35 37515.06 36523.65 36840.76 366
test_blank0.00 3490.00 3520.00 3620.00 3850.00 3850.00 3730.00 3840.00 3800.00 3810.00 3800.00 3840.00 3790.00 3790.00 3770.00 377
uanet_test0.00 3490.00 3520.00 3620.00 3850.00 3850.00 3730.00 3840.00 3800.00 3810.00 3800.00 3840.00 3790.00 3790.00 3770.00 377
DCPMVS0.00 3490.00 3520.00 3620.00 3850.00 3850.00 3730.00 3840.00 3800.00 3810.00 3800.00 3840.00 3790.00 3790.00 3770.00 377
cdsmvs_eth3d_5k17.50 34223.34 3410.00 3620.00 3850.00 3850.00 37378.63 1580.00 3800.00 38182.18 17649.25 1020.00 3790.00 3790.00 3770.00 377
pcd_1.5k_mvsjas3.92 3485.23 3510.00 3620.00 3850.00 3850.00 3730.00 3840.00 3800.00 3810.00 38047.05 1320.00 3790.00 3790.00 3770.00 377
sosnet-low-res0.00 3490.00 3520.00 3620.00 3850.00 3850.00 3730.00 3840.00 3800.00 3810.00 3800.00 3840.00 3790.00 3790.00 3770.00 377
sosnet0.00 3490.00 3520.00 3620.00 3850.00 3850.00 3730.00 3840.00 3800.00 3810.00 3800.00 3840.00 3790.00 3790.00 3770.00 377
uncertanet0.00 3490.00 3520.00 3620.00 3850.00 3850.00 3730.00 3840.00 3800.00 3810.00 3800.00 3840.00 3790.00 3790.00 3770.00 377
Regformer0.00 3490.00 3520.00 3620.00 3850.00 3850.00 3730.00 3840.00 3800.00 3810.00 3800.00 3840.00 3790.00 3790.00 3770.00 377
ab-mvs-re6.49 3458.65 3480.00 3620.00 3850.00 3850.00 3730.00 3840.00 3800.00 38177.89 2550.00 3840.00 3790.00 3790.00 3770.00 377
uanet0.00 3490.00 3520.00 3620.00 3850.00 3850.00 3730.00 3840.00 3800.00 3810.00 3800.00 3840.00 3790.00 3790.00 3770.00 377
MSC_two_6792asdad79.95 387.24 1461.04 3185.62 2390.96 179.31 790.65 887.85 25
PC_three_145255.09 19384.46 489.84 4166.68 589.41 1674.24 3191.38 288.42 9
No_MVS79.95 387.24 1461.04 3185.62 2390.96 179.31 790.65 887.85 25
test_one_060187.58 959.30 5686.84 765.01 1883.80 1191.86 664.03 11
eth-test20.00 385
eth-test0.00 385
ZD-MVS86.64 2160.38 4382.70 8557.95 13878.10 2490.06 3456.12 3788.84 2474.05 3487.00 46
IU-MVS87.77 459.15 5985.53 2553.93 21284.64 379.07 990.87 588.37 11
test_241102_TWO86.73 1264.18 3084.26 591.84 865.19 690.83 578.63 1590.70 787.65 33
test_241102_ONE87.77 458.90 6886.78 1064.20 2985.97 191.34 1266.87 390.78 7
test_0728_THIRD65.04 1483.82 892.00 364.69 1090.75 879.48 490.63 1088.09 19
GSMVS78.05 255
test_part287.58 960.47 4283.42 12
sam_mvs134.74 25378.05 255
sam_mvs33.43 267
MTGPAbinary80.97 121
test_post3.55 37633.90 26266.52 305
patchmatchnet-post64.03 34434.50 25574.27 271
gm-plane-assit71.40 27941.72 28648.85 26273.31 30182.48 16648.90 223
test9_res75.28 2788.31 3283.81 158
agg_prior273.09 4287.93 3884.33 140
agg_prior85.04 5059.96 4681.04 11974.68 4584.04 126
TestCases64.39 26571.44 27649.03 21067.30 28045.97 29247.16 33879.77 22517.47 34567.56 30033.65 32459.16 31776.57 273
test_prior76.69 5184.20 6157.27 8684.88 3786.43 7686.38 66
新几何170.76 18285.66 4161.13 3066.43 28844.68 30070.29 9486.64 8441.29 19575.23 26649.72 21581.75 9475.93 277
旧先验183.04 7053.15 14867.52 27987.85 6744.08 16580.76 9878.03 258
原ACMM174.69 8785.39 4759.40 5383.42 6851.47 23770.27 9586.61 8648.61 11086.51 7453.85 18287.96 3778.16 253
testdata272.18 28146.95 238
segment_acmp54.23 51
testdata64.66 26381.52 8652.93 15165.29 29646.09 29073.88 5487.46 7038.08 22366.26 30853.31 18778.48 13474.78 292
test1277.76 4184.52 5858.41 7483.36 7172.93 6954.61 4888.05 3588.12 3486.81 58
plane_prior781.41 8955.96 108
plane_prior681.20 9656.24 10345.26 156
plane_prior584.01 4987.21 5168.16 6880.58 10184.65 134
plane_prior486.10 97
plane_prior356.09 10563.92 3469.27 114
plane_prior181.27 94
n20.00 384
nn0.00 384
door-mid47.19 358
lessismore_v069.91 19871.42 27847.80 22650.90 34950.39 33175.56 28427.43 31681.33 18445.91 24534.10 36580.59 225
LGP-MVS_train75.76 6580.22 10957.51 8483.40 6961.32 7766.67 16587.33 7239.15 21186.59 6967.70 7377.30 14683.19 180
test1183.47 66
door47.60 356
HQP5-MVS54.94 124
BP-MVS67.04 80
HQP4-MVS67.85 13986.93 6084.32 141
HQP3-MVS83.90 5380.35 105
HQP2-MVS45.46 150
NP-MVS80.98 9956.05 10785.54 113
ACMMP++_ref74.07 172
ACMMP++72.16 204
Test By Simon48.33 113
ITE_SJBPF62.09 28066.16 32444.55 26164.32 30247.36 27955.31 29480.34 21519.27 34462.68 31936.29 31562.39 30079.04 246
DeepMVS_CXcopyleft12.03 35817.97 38010.91 37810.60 3817.46 37311.07 37428.36 3693.28 37511.29 3778.01 3759.74 37613.89 372