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.
sorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
LTVRE_ROB98.40 199.67 399.71 299.56 2499.85 1399.11 6199.90 199.78 899.63 1499.78 1099.67 1699.48 699.81 17099.30 1799.97 1199.77 16
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
3Dnovator98.27 298.81 6598.73 6199.05 12798.76 24697.81 17299.25 3499.30 14698.57 10898.55 19799.33 6697.95 7999.90 5397.16 13699.67 14899.44 140
3Dnovator+97.89 398.69 8698.51 9399.24 9498.81 24198.40 10999.02 5899.19 18198.99 7998.07 23499.28 7097.11 14399.84 13196.84 16999.32 23599.47 129
DeepC-MVS97.60 498.97 4698.93 4599.10 11399.35 12397.98 15198.01 15499.46 8097.56 17599.54 3199.50 3998.97 1699.84 13198.06 9199.92 3799.49 111
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DeepPCF-MVS96.93 598.32 13998.01 16199.23 9698.39 30098.97 6895.03 33099.18 18596.88 23199.33 6698.78 18598.16 6399.28 34696.74 17799.62 16299.44 140
DeepC-MVS_fast96.85 698.30 14198.15 14898.75 17098.61 27597.23 20397.76 17999.09 20797.31 20298.75 17098.66 20697.56 10799.64 27496.10 22699.55 19199.39 159
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
OpenMVScopyleft96.65 797.09 23896.68 24898.32 21798.32 30397.16 21298.86 7299.37 10789.48 35396.29 32599.15 9696.56 17599.90 5392.90 31699.20 25497.89 327
ACMH96.65 799.25 2799.24 2699.26 8999.72 3198.38 11199.07 5499.55 4898.30 11999.65 2399.45 5099.22 999.76 21798.44 7099.77 9799.64 43
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
ACMH+96.62 999.08 3699.00 4299.33 7699.71 3298.83 7798.60 8899.58 3099.11 6099.53 3499.18 8698.81 2299.67 25996.71 18299.77 9799.50 107
COLMAP_ROBcopyleft96.50 1098.99 4198.85 5099.41 6199.58 5399.10 6298.74 7699.56 4499.09 7099.33 6699.19 8498.40 4399.72 24095.98 22999.76 10799.42 147
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
TAPA-MVS96.21 1196.63 26395.95 27398.65 17698.93 21298.09 13596.93 24899.28 15683.58 36898.13 22897.78 29296.13 19299.40 33093.52 30699.29 24298.45 307
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
ACMM96.08 1298.91 5498.73 6199.48 5199.55 6899.14 5398.07 14299.37 10797.62 16899.04 11798.96 14298.84 2099.79 19297.43 12499.65 15499.49 111
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
HY-MVS95.94 1395.90 28495.35 29297.55 26997.95 32394.79 27398.81 7596.94 33392.28 33095.17 34898.57 22489.90 29799.75 22491.20 34397.33 34398.10 320
OpenMVS_ROBcopyleft95.38 1495.84 28695.18 29797.81 24998.41 29997.15 21397.37 21698.62 28283.86 36798.65 17998.37 24994.29 25299.68 25688.41 35698.62 30796.60 358
ACMP95.32 1598.41 13098.09 15399.36 6599.51 7798.79 8197.68 18699.38 10395.76 27098.81 16398.82 17998.36 4599.82 15694.75 26699.77 9799.48 121
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
PLCcopyleft94.65 1696.51 26695.73 27798.85 15398.75 24897.91 16096.42 27899.06 21190.94 34695.59 33697.38 31794.41 24899.59 29090.93 34698.04 32899.05 238
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
PVSNet93.40 1795.67 28995.70 27895.57 32798.83 23688.57 35192.50 36497.72 31492.69 32596.49 32196.44 33993.72 26499.43 32893.61 30399.28 24398.71 291
PCF-MVS92.86 1894.36 30993.00 32698.42 20998.70 25997.56 18793.16 36299.11 20579.59 37197.55 26897.43 31492.19 28399.73 23279.85 37299.45 21697.97 326
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
IB-MVS91.63 1992.24 33690.90 34096.27 31297.22 35391.24 34394.36 34993.33 36292.37 32892.24 36794.58 36666.20 38099.89 6393.16 31494.63 36697.66 341
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
PMVScopyleft91.26 2097.86 17997.94 16797.65 25999.71 3297.94 15998.52 9798.68 27898.99 7997.52 27199.35 6297.41 12398.18 36991.59 33799.67 14896.82 355
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
PVSNet_089.98 2191.15 33990.30 34293.70 34897.72 33384.34 37290.24 36897.42 32090.20 35093.79 36193.09 37190.90 29198.89 36486.57 36172.76 37597.87 329
MVEpermissive83.40 2292.50 33291.92 33594.25 34298.83 23691.64 33492.71 36383.52 37895.92 26586.46 37595.46 35595.20 22795.40 37480.51 37198.64 30595.73 367
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CMPMVSbinary75.91 2396.29 27595.44 28898.84 15496.25 36898.69 8997.02 24199.12 20388.90 35697.83 24898.86 16789.51 29998.90 36391.92 33199.51 20298.92 263
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
patch_mono-298.51 12098.63 7798.17 22999.38 11394.78 27497.36 21799.69 1698.16 13798.49 20399.29 6997.06 14499.97 498.29 7999.91 4399.76 20
EGC-MVSNET85.24 34080.54 34399.34 7399.77 2099.20 3399.08 5199.29 15312.08 37620.84 37799.42 5297.55 10899.85 11397.08 14599.72 12198.96 256
test250692.39 33391.89 33693.89 34699.38 11382.28 37599.32 1866.03 38299.08 7298.77 16799.57 2866.26 37999.84 13198.71 5599.95 1699.54 88
test111196.49 26996.82 24095.52 32999.42 10887.08 36099.22 3687.14 37499.11 6099.46 4499.58 2788.69 30599.86 9898.80 4799.95 1699.62 48
ECVR-MVScopyleft96.42 27296.61 25395.85 32099.38 11388.18 35599.22 3686.00 37699.08 7299.36 6199.57 2888.47 31099.82 15698.52 6699.95 1699.54 88
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
DVP-MVS++98.90 5698.70 6899.51 4598.43 29599.15 4899.43 1099.32 13098.17 13499.26 8199.02 12198.18 6099.88 7497.07 14699.45 21699.49 111
FOURS199.73 2599.67 299.43 1099.54 5299.43 3199.26 81
MSC_two_6792asdad99.32 7898.43 29598.37 11298.86 25299.89 6397.14 14099.60 17099.71 27
PC_three_145293.27 31799.40 5498.54 22698.22 5697.00 37295.17 25799.45 21699.49 111
No_MVS99.32 7898.43 29598.37 11298.86 25299.89 6397.14 14099.60 17099.71 27
test_one_060199.39 11299.20 3399.31 13698.49 11098.66 17899.02 12197.64 100
eth-test20.00 384
eth-test0.00 384
GeoE99.05 3798.99 4499.25 9199.44 10398.35 11698.73 7899.56 4498.42 11398.91 14298.81 18198.94 1899.91 4998.35 7599.73 11499.49 111
test_method79.78 34179.50 34480.62 35780.21 38045.76 38270.82 37198.41 29331.08 37580.89 37697.71 29684.85 33097.37 37191.51 33980.03 37498.75 288
Anonymous2024052198.69 8698.87 4798.16 23199.77 2095.11 26999.08 5199.44 8699.34 4199.33 6699.55 3294.10 25899.94 2599.25 2099.96 1499.42 147
h-mvs3397.77 19097.33 21199.10 11399.21 14597.84 16698.35 11898.57 28499.11 6098.58 19199.02 12188.65 30899.96 1098.11 8696.34 35499.49 111
hse-mvs297.46 21097.07 22398.64 17798.73 25097.33 19797.45 21297.64 31999.11 6098.58 19197.98 28088.65 30899.79 19298.11 8697.39 33898.81 277
CL-MVSNet_self_test97.44 21397.22 21698.08 23698.57 28295.78 24994.30 35098.79 26596.58 24398.60 18798.19 26594.74 24399.64 27496.41 20898.84 29398.82 274
KD-MVS_2432*160092.87 32991.99 33395.51 33091.37 37789.27 34994.07 35298.14 30395.42 27897.25 28596.44 33967.86 37499.24 34891.28 34196.08 35898.02 323
KD-MVS_self_test99.25 2799.18 2899.44 5799.63 5099.06 6698.69 8299.54 5299.31 4399.62 2899.53 3697.36 12799.86 9899.24 2299.71 12699.39 159
AUN-MVS96.24 27895.45 28798.60 18598.70 25997.22 20597.38 21597.65 31795.95 26495.53 34497.96 28482.11 35199.79 19296.31 21397.44 33698.80 282
ZD-MVS99.01 19898.84 7699.07 21094.10 30698.05 23798.12 27096.36 18899.86 9892.70 32499.19 258
test117298.76 7498.49 9899.57 1899.18 15999.37 998.39 11499.31 13698.43 11298.90 14398.88 16397.49 11899.86 9896.43 20699.37 22899.48 121
SR-MVS-dyc-post98.81 6598.55 8899.57 1899.20 14999.38 698.48 10699.30 14698.64 9898.95 13398.96 14297.49 11899.86 9896.56 19499.39 22499.45 135
RE-MVS-def98.58 8699.20 14999.38 698.48 10699.30 14698.64 9898.95 13398.96 14297.75 9196.56 19499.39 22499.45 135
SED-MVS98.91 5498.72 6399.49 4999.49 8799.17 3998.10 13999.31 13698.03 14299.66 2099.02 12198.36 4599.88 7496.91 15899.62 16299.41 150
IU-MVS99.49 8799.15 4898.87 24792.97 32099.41 5196.76 17599.62 16299.66 38
OPU-MVS98.82 15698.59 27998.30 11798.10 13998.52 22998.18 6098.75 36694.62 27099.48 21299.41 150
test_241102_TWO99.30 14698.03 14299.26 8199.02 12197.51 11499.88 7496.91 15899.60 17099.66 38
test_241102_ONE99.49 8799.17 3999.31 13697.98 14499.66 2098.90 15498.36 4599.48 320
xxxxxxxxxxxxxcwj98.44 12798.24 13599.06 12599.11 17197.97 15296.53 27099.54 5298.24 12598.83 15798.90 15497.80 8899.82 15695.68 24599.52 19999.38 166
SF-MVS98.53 11798.27 13299.32 7899.31 12698.75 8298.19 12999.41 9696.77 23598.83 15798.90 15497.80 8899.82 15695.68 24599.52 19999.38 166
ETH3D cwj APD-0.1697.55 20397.00 22799.19 10098.51 28898.64 9096.85 25499.13 20194.19 30497.65 25998.40 24395.78 21099.81 17093.37 31199.16 26199.12 232
cl2295.79 28795.39 29196.98 29396.77 36092.79 32094.40 34898.53 28694.59 29397.89 24498.17 26682.82 34699.24 34896.37 20999.03 27998.92 263
miper_ehance_all_eth97.06 24197.03 22597.16 28897.83 32993.06 31494.66 34099.09 20795.99 26398.69 17498.45 24092.73 27999.61 28596.79 17199.03 27998.82 274
miper_enhance_ethall96.01 28195.74 27696.81 30396.41 36692.27 32993.69 35998.89 24491.14 34498.30 21697.35 32190.58 29299.58 29596.31 21399.03 27998.60 300
ZNCC-MVS98.68 9098.40 11499.54 2999.57 5799.21 2798.46 10899.29 15397.28 20598.11 23198.39 24598.00 7399.87 9196.86 16899.64 15699.55 84
ETH3 D test640096.46 27195.59 28399.08 11798.88 22698.21 12796.53 27099.18 18588.87 35797.08 29097.79 29193.64 26699.77 21088.92 35599.40 22399.28 201
dcpmvs_298.78 7099.11 3397.78 25199.56 6493.67 30899.06 5699.86 499.50 2499.66 2099.26 7497.21 13999.99 298.00 9699.91 4399.68 34
cl____97.02 24596.83 23997.58 26597.82 33094.04 29294.66 34099.16 19497.04 22498.63 18198.71 19588.68 30799.69 24797.00 15099.81 7699.00 249
DIV-MVS_self_test97.02 24596.84 23897.58 26597.82 33094.03 29394.66 34099.16 19497.04 22498.63 18198.71 19588.69 30599.69 24797.00 15099.81 7699.01 246
eth_miper_zixun_eth97.23 22997.25 21397.17 28698.00 32292.77 32194.71 33799.18 18597.27 20698.56 19598.74 19191.89 28799.69 24797.06 14899.81 7699.05 238
9.1497.78 17699.07 18397.53 20399.32 13095.53 27598.54 19998.70 19897.58 10599.76 21794.32 28399.46 214
testtj97.79 18997.25 21399.42 5899.03 19498.85 7597.78 17499.18 18595.83 26898.12 22998.50 23395.50 22099.86 9892.23 33099.07 27499.54 88
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
ETH3D-3000-0.198.03 16397.62 19099.29 8199.11 17198.80 8097.47 21099.32 13095.54 27398.43 20998.62 21796.61 17499.77 21093.95 29499.49 21099.30 196
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
save fliter99.11 17197.97 15296.53 27099.02 22498.24 125
ET-MVSNet_ETH3D94.30 31293.21 32297.58 26598.14 31494.47 28394.78 33693.24 36394.72 29189.56 37195.87 34878.57 36399.81 17096.91 15897.11 34698.46 305
UniMVSNet_ETH3D99.69 299.69 499.69 399.84 1499.34 1599.69 499.58 3099.90 299.86 799.78 599.58 399.95 1799.00 3699.95 1699.78 14
EIA-MVS98.00 16797.74 17998.80 16098.72 25298.09 13598.05 14699.60 2797.39 19496.63 31295.55 35297.68 9499.80 17996.73 17999.27 24498.52 303
miper_refine_blended92.87 32991.99 33395.51 33091.37 37789.27 34994.07 35298.14 30395.42 27897.25 28596.44 33967.86 37499.24 34891.28 34196.08 35898.02 323
miper_lstm_enhance97.18 23397.16 21997.25 28498.16 31392.85 31995.15 32899.31 13697.25 20898.74 17298.78 18590.07 29599.78 20497.19 13499.80 8499.11 234
ETV-MVS98.03 16397.86 17398.56 19498.69 26398.07 14197.51 20699.50 6298.10 13997.50 27395.51 35398.41 4299.88 7496.27 21699.24 24997.71 340
CS-MVS99.13 3499.10 3599.24 9499.07 18399.14 5399.36 1599.88 399.36 4098.20 22198.46 23998.66 2999.93 3099.03 3499.85 5998.65 299
D2MVS97.84 18597.84 17497.83 24899.14 16894.74 27596.94 24698.88 24595.84 26798.89 14698.96 14294.40 24999.69 24797.55 11799.95 1699.05 238
DVP-MVScopyleft98.77 7398.52 9199.52 4199.50 8099.21 2798.02 15198.84 25697.97 14599.08 10799.02 12197.61 10399.88 7496.99 15299.63 15999.48 121
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_THIRD98.17 13499.08 10799.02 12197.89 8099.88 7497.07 14699.71 12699.70 32
test_0728_SECOND99.60 1399.50 8099.23 2598.02 15199.32 13099.88 7496.99 15299.63 15999.68 34
test072699.50 8099.21 2798.17 13399.35 11797.97 14599.26 8199.06 10797.61 103
SR-MVS98.71 8198.43 11099.57 1899.18 15999.35 1298.36 11799.29 15398.29 12298.88 15098.85 17097.53 11199.87 9196.14 22499.31 23799.48 121
DPM-MVS96.32 27495.59 28398.51 20198.76 24697.21 20794.54 34698.26 29791.94 33396.37 32397.25 32293.06 27399.43 32891.42 34098.74 29798.89 267
GST-MVS98.61 10198.30 12999.52 4199.51 7799.20 3398.26 12399.25 16597.44 19098.67 17698.39 24597.68 9499.85 11396.00 22799.51 20299.52 100
test_yl96.69 25996.29 26797.90 24498.28 30595.24 26297.29 22397.36 32298.21 12898.17 22397.86 28786.27 31899.55 30294.87 26498.32 31398.89 267
thisisatest053095.27 29794.45 30797.74 25599.19 15294.37 28497.86 16890.20 37197.17 21898.22 22097.65 30073.53 37099.90 5396.90 16399.35 23198.95 257
Anonymous2024052998.93 5198.87 4799.12 10999.19 15298.22 12699.01 5998.99 23199.25 4899.54 3199.37 5897.04 14599.80 17997.89 10099.52 19999.35 179
Anonymous20240521197.90 17397.50 19699.08 11798.90 22098.25 12098.53 9696.16 34298.87 8999.11 10198.86 16790.40 29499.78 20497.36 12799.31 23799.19 221
DCV-MVSNet96.69 25996.29 26797.90 24498.28 30595.24 26297.29 22397.36 32298.21 12898.17 22397.86 28786.27 31899.55 30294.87 26498.32 31398.89 267
tttt051795.64 29094.98 30197.64 26199.36 11993.81 30498.72 7990.47 37098.08 14098.67 17698.34 25373.88 36999.92 3997.77 10899.51 20299.20 216
our_test_397.39 21697.73 18196.34 31098.70 25989.78 34894.61 34398.97 23396.50 24499.04 11798.85 17095.98 20299.84 13197.26 13299.67 14899.41 150
thisisatest051594.12 31693.16 32396.97 29498.60 27792.90 31893.77 35890.61 36994.10 30696.91 29995.87 34874.99 36899.80 17994.52 27399.12 27198.20 316
ppachtmachnet_test97.50 20597.74 17996.78 30498.70 25991.23 34494.55 34599.05 21596.36 24999.21 9098.79 18496.39 18499.78 20496.74 17799.82 7299.34 181
SMA-MVScopyleft98.40 13298.03 16099.51 4599.16 16399.21 2798.05 14699.22 17394.16 30598.98 12799.10 10497.52 11399.79 19296.45 20499.64 15699.53 96
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
GSMVS98.81 277
DPE-MVScopyleft98.59 10698.26 13399.57 1899.27 13399.15 4897.01 24299.39 10197.67 16499.44 4898.99 13397.53 11199.89 6395.40 25599.68 14299.66 38
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
test_part299.36 11999.10 6299.05 115
test_part197.91 17297.46 20299.27 8698.80 24398.18 12899.07 5499.36 11199.75 599.63 2699.49 4282.20 35099.89 6398.87 4399.95 1699.74 25
thres100view90094.19 31393.67 31795.75 32399.06 18891.35 33998.03 14994.24 35698.33 11797.40 28094.98 36179.84 35599.62 27983.05 36698.08 32596.29 359
tfpnnormal98.90 5698.90 4698.91 14599.67 4297.82 17099.00 6199.44 8699.45 2999.51 3999.24 7898.20 5999.86 9895.92 23199.69 13799.04 242
tfpn200view994.03 31793.44 31995.78 32298.93 21291.44 33797.60 19594.29 35497.94 14797.10 28894.31 36779.67 35799.62 27983.05 36698.08 32596.29 359
c3_l97.36 21797.37 20697.31 28098.09 31793.25 31295.01 33199.16 19497.05 22398.77 16798.72 19492.88 27699.64 27496.93 15799.76 10799.05 238
CHOSEN 280x42095.51 29495.47 28595.65 32698.25 30788.27 35493.25 36198.88 24593.53 31494.65 35297.15 32686.17 32099.93 3097.41 12599.93 2898.73 290
CANet97.87 17897.76 17798.19 22897.75 33295.51 25496.76 26099.05 21597.74 16096.93 29698.21 26395.59 21699.89 6397.86 10599.93 2899.19 221
Fast-Effi-MVS+-dtu98.27 14598.09 15398.81 15898.43 29598.11 13497.61 19499.50 6298.64 9897.39 28197.52 30898.12 6699.95 1796.90 16398.71 30198.38 311
Effi-MVS+-dtu98.26 14797.90 17099.35 7098.02 32099.49 398.02 15199.16 19498.29 12297.64 26097.99 27996.44 18299.95 1796.66 18598.93 29198.60 300
CANet_DTU97.26 22597.06 22497.84 24797.57 33994.65 28096.19 29098.79 26597.23 21495.14 34998.24 26093.22 26899.84 13197.34 12899.84 6399.04 242
MVS_030497.64 19797.35 20898.52 19997.87 32896.69 22898.59 9098.05 30897.44 19093.74 36398.85 17093.69 26599.88 7498.11 8699.81 7698.98 251
MP-MVS-pluss98.57 10798.23 13799.60 1399.69 4099.35 1297.16 23799.38 10394.87 28998.97 13098.99 13398.01 7299.88 7497.29 13099.70 13199.58 66
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
MSP-MVS98.40 13298.00 16299.61 999.57 5799.25 2398.57 9299.35 11797.55 17699.31 7497.71 29694.61 24499.88 7496.14 22499.19 25899.70 32
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
sam_mvs184.74 33298.81 277
sam_mvs84.29 338
IterMVS-SCA-FT97.85 18498.18 14296.87 29999.27 13391.16 34595.53 31699.25 16599.10 6799.41 5199.35 6293.10 27199.96 1098.65 5899.94 2499.49 111
TSAR-MVS + MP.98.63 9898.49 9899.06 12599.64 4897.90 16198.51 10198.94 23496.96 22799.24 8698.89 16297.83 8499.81 17096.88 16599.49 21099.48 121
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
xiu_mvs_v1_base_debu97.86 17998.17 14396.92 29698.98 20493.91 29996.45 27599.17 19197.85 15598.41 21097.14 32798.47 3899.92 3998.02 9399.05 27596.92 352
OPM-MVS98.56 10898.32 12899.25 9199.41 11098.73 8697.13 23999.18 18597.10 22298.75 17098.92 15098.18 6099.65 27296.68 18499.56 18999.37 169
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
ACMMP_NAP98.75 7698.48 10099.57 1899.58 5399.29 1897.82 17299.25 16596.94 22898.78 16499.12 10098.02 7199.84 13197.13 14299.67 14899.59 60
ambc98.24 22598.82 23995.97 24398.62 8699.00 23099.27 7799.21 8196.99 15099.50 31696.55 19799.50 20999.26 206
zzz-MVS98.79 6798.52 9199.61 999.67 4299.36 1097.33 22099.20 17698.83 9398.89 14698.90 15496.98 15199.92 3997.16 13699.70 13199.56 76
MTGPAbinary99.20 176
mvs-test197.83 18797.48 20098.89 14898.02 32099.20 3397.20 23199.16 19498.29 12296.46 32297.17 32496.44 18299.92 3996.66 18597.90 33097.54 346
CS-MVS-test98.92 5398.81 5499.25 9199.08 18299.15 4898.71 8199.79 799.37 3698.20 22197.38 31797.86 8299.93 3099.04 3299.85 5998.67 298
Effi-MVS+98.02 16597.82 17598.62 18298.53 28797.19 20997.33 22099.68 1897.30 20396.68 31097.46 31398.56 3599.80 17996.63 18798.20 31798.86 271
xiu_mvs_v2_base97.16 23597.49 19796.17 31598.54 28592.46 32595.45 32098.84 25697.25 20897.48 27596.49 33698.31 5099.90 5396.34 21298.68 30396.15 363
xiu_mvs_v1_base97.86 17998.17 14396.92 29698.98 20493.91 29996.45 27599.17 19197.85 15598.41 21097.14 32798.47 3899.92 3998.02 9399.05 27596.92 352
new-patchmatchnet98.35 13798.74 6097.18 28599.24 13892.23 33096.42 27899.48 7298.30 11999.69 1799.53 3697.44 12299.82 15698.84 4599.77 9799.49 111
pmmvs699.67 399.70 399.60 1399.90 499.27 2199.53 799.76 1099.64 1299.84 899.83 299.50 599.87 9199.36 1499.92 3799.64 43
pmmvs597.64 19797.49 19798.08 23699.14 16895.12 26896.70 26499.05 21593.77 31198.62 18398.83 17693.23 26799.75 22498.33 7899.76 10799.36 175
test_post197.59 19720.48 37883.07 34499.66 26794.16 284
test_post21.25 37783.86 34099.70 243
Fast-Effi-MVS+97.67 19597.38 20598.57 19098.71 25597.43 19497.23 22799.45 8394.82 29096.13 32696.51 33598.52 3799.91 4996.19 22098.83 29498.37 313
patchmatchnet-post98.77 18784.37 33599.85 113
Anonymous2023121199.27 2599.27 2499.26 8999.29 13098.18 12899.49 899.51 6099.70 899.80 999.68 1496.84 15799.83 14699.21 2399.91 4399.77 16
pmmvs-eth3d98.47 12498.34 12498.86 15299.30 12997.76 17597.16 23799.28 15695.54 27399.42 5099.19 8497.27 13299.63 27797.89 10099.97 1199.20 216
GG-mvs-BLEND94.76 33894.54 37592.13 33199.31 2280.47 38088.73 37391.01 37367.59 37698.16 37082.30 37094.53 36793.98 370
xiu_mvs_v1_base_debi97.86 17998.17 14396.92 29698.98 20493.91 29996.45 27599.17 19197.85 15598.41 21097.14 32798.47 3899.92 3998.02 9399.05 27596.92 352
Anonymous2023120698.21 15298.21 13898.20 22799.51 7795.43 25898.13 13499.32 13096.16 25698.93 14098.82 17996.00 19899.83 14697.32 12999.73 11499.36 175
MTAPA98.88 5898.64 7699.61 999.67 4299.36 1098.43 11199.20 17698.83 9398.89 14698.90 15496.98 15199.92 3997.16 13699.70 13199.56 76
MTMP97.93 16091.91 367
gm-plane-assit94.83 37481.97 37688.07 36094.99 36099.60 28691.76 333
test9_res93.28 31399.15 26499.38 166
MVP-Stereo98.08 16197.92 16898.57 19098.96 20796.79 22397.90 16499.18 18596.41 24898.46 20498.95 14695.93 20599.60 28696.51 20098.98 28899.31 193
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
TEST998.71 25598.08 13995.96 29799.03 22091.40 34095.85 33397.53 30696.52 17799.76 217
train_agg97.10 23796.45 26299.07 12098.71 25598.08 13995.96 29799.03 22091.64 33595.85 33397.53 30696.47 18099.76 21793.67 30299.16 26199.36 175
gg-mvs-nofinetune92.37 33491.20 33995.85 32095.80 37392.38 32799.31 2281.84 37999.75 591.83 36899.74 868.29 37399.02 35887.15 35997.12 34596.16 362
SCA96.41 27396.66 25195.67 32498.24 30888.35 35395.85 30596.88 33596.11 25797.67 25898.67 20393.10 27199.85 11394.16 28499.22 25198.81 277
Patchmatch-test96.55 26596.34 26597.17 28698.35 30193.06 31498.40 11397.79 31297.33 19998.41 21098.67 20383.68 34199.69 24795.16 25899.31 23798.77 285
test_898.67 26898.01 14695.91 30299.02 22491.64 33595.79 33597.50 30996.47 18099.76 217
MS-PatchMatch97.68 19497.75 17897.45 27598.23 31093.78 30597.29 22398.84 25696.10 25898.64 18098.65 20896.04 19599.36 33596.84 16999.14 26599.20 216
Patchmatch-RL test97.26 22597.02 22697.99 24399.52 7595.53 25396.13 29199.71 1397.47 18299.27 7799.16 9284.30 33799.62 27997.89 10099.77 9798.81 277
cdsmvs_eth3d_5k24.66 34332.88 3460.00 3610.00 3840.00 3850.00 37299.10 2060.00 3790.00 38097.58 30499.21 100.00 3800.00 3780.00 3780.00 376
pcd_1.5k_mvsjas8.17 34610.90 3490.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 37998.07 670.00 3800.00 3780.00 3780.00 376
agg_prior197.06 24196.40 26399.03 13098.68 26697.99 14795.76 30799.01 22791.73 33495.59 33697.50 30996.49 17999.77 21093.71 30199.14 26599.34 181
agg_prior292.50 32799.16 26199.37 169
agg_prior98.68 26697.99 14799.01 22795.59 33699.77 210
tmp_tt78.77 34278.73 34578.90 35858.45 38174.76 38194.20 35178.26 38139.16 37486.71 37492.82 37280.50 35375.19 37786.16 36292.29 37186.74 372
canonicalmvs98.34 13898.26 13398.58 18798.46 29297.82 17098.96 6599.46 8099.19 5697.46 27695.46 35598.59 3399.46 32498.08 9098.71 30198.46 305
anonymousdsp99.51 1099.47 1299.62 699.88 799.08 6599.34 1699.69 1698.93 8799.65 2399.72 1198.93 1999.95 1799.11 27100.00 199.82 9
alignmvs97.35 21896.88 23598.78 16598.54 28598.09 13597.71 18397.69 31699.20 5297.59 26495.90 34788.12 31299.55 30298.18 8498.96 28998.70 293
nrg03099.40 1899.35 1799.54 2999.58 5399.13 5798.98 6499.48 7299.68 999.46 4499.26 7498.62 3199.73 23299.17 2699.92 3799.76 20
v14419298.54 11598.57 8798.45 20799.21 14595.98 24297.63 19199.36 11197.15 22199.32 7299.18 8695.84 20999.84 13199.50 1099.91 4399.54 88
FIs99.14 3299.09 3699.29 8199.70 3898.28 11899.13 4899.52 5999.48 2599.24 8699.41 5596.79 16399.82 15698.69 5799.88 5499.76 20
v192192098.54 11598.60 8498.38 21399.20 14995.76 25097.56 20099.36 11197.23 21499.38 5799.17 9096.02 19699.84 13199.57 699.90 4999.54 88
UA-Net99.47 1199.40 1499.70 299.49 8799.29 1899.80 399.72 1299.82 399.04 11799.81 398.05 7099.96 1098.85 4499.99 599.86 6
v119298.60 10398.66 7498.41 21099.27 13395.88 24597.52 20499.36 11197.41 19299.33 6699.20 8396.37 18799.82 15699.57 699.92 3799.55 84
FC-MVSNet-test99.27 2599.25 2599.34 7399.77 2098.37 11299.30 2699.57 3799.61 1999.40 5499.50 3997.12 14199.85 11399.02 3599.94 2499.80 12
v114498.60 10398.66 7498.41 21099.36 11995.90 24497.58 19899.34 12397.51 17899.27 7799.15 9696.34 18999.80 17999.47 1299.93 2899.51 103
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
HFP-MVS98.71 8198.44 10899.51 4599.49 8799.16 4398.52 9799.31 13697.47 18298.58 19198.50 23397.97 7799.85 11396.57 19199.59 17499.53 96
v14898.45 12698.60 8498.00 24299.44 10394.98 27097.44 21399.06 21198.30 11999.32 7298.97 13996.65 17299.62 27998.37 7499.85 5999.39 159
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
AllTest98.44 12798.20 13999.16 10499.50 8098.55 9998.25 12499.58 3096.80 23398.88 15099.06 10797.65 9799.57 29694.45 27699.61 16899.37 169
TestCases99.16 10499.50 8098.55 9999.58 3096.80 23398.88 15099.06 10797.65 9799.57 29694.45 27699.61 16899.37 169
v7n99.53 899.57 899.41 6199.88 798.54 10299.45 999.61 2699.66 1199.68 1999.66 1798.44 4199.95 1799.73 299.96 1499.75 23
region2R98.69 8698.40 11499.54 2999.53 7399.17 3998.52 9799.31 13697.46 18798.44 20698.51 23097.83 8499.88 7496.46 20399.58 18099.58 66
bset_n11_16_dypcd96.99 24996.56 25898.27 22399.00 19995.25 26192.18 36794.05 35998.75 9599.01 12198.38 24788.98 30399.93 3098.77 5199.92 3799.64 43
RRT_MVS97.07 24096.57 25798.58 18795.89 37296.33 23497.36 21798.77 26897.85 15599.08 10799.12 10082.30 34799.96 1098.82 4699.90 4999.45 135
PS-MVSNAJss99.46 1299.49 1099.35 7099.90 498.15 13199.20 3999.65 2299.48 2599.92 399.71 1298.07 6799.96 1099.53 9100.00 199.93 1
PS-MVSNAJ97.08 23997.39 20496.16 31798.56 28392.46 32595.24 32598.85 25597.25 20897.49 27495.99 34598.07 6799.90 5396.37 20998.67 30496.12 364
jajsoiax99.58 699.61 799.48 5199.87 1098.61 9499.28 3199.66 2199.09 7099.89 699.68 1499.53 499.97 499.50 1099.99 599.87 4
mvs_tets99.63 599.67 599.49 4999.88 798.61 9499.34 1699.71 1399.27 4799.90 499.74 899.68 299.97 499.55 899.99 599.88 3
#test#98.50 12198.16 14699.51 4599.49 8799.16 4398.03 14999.31 13696.30 25398.58 19198.50 23397.97 7799.85 11395.68 24599.59 17499.53 96
EI-MVSNet-UG-set98.69 8698.71 6598.62 18299.10 17596.37 23397.23 22798.87 24799.20 5299.19 9298.99 13397.30 12999.85 11398.77 5199.79 8999.65 42
EI-MVSNet-Vis-set98.68 9098.70 6898.63 18099.09 17896.40 23297.23 22798.86 25299.20 5299.18 9698.97 13997.29 13199.85 11398.72 5499.78 9399.64 43
Regformer-398.61 10198.61 8298.63 18099.02 19696.53 23097.17 23598.84 25699.13 5999.10 10498.85 17097.24 13699.79 19298.41 7399.70 13199.57 71
Regformer-498.73 7998.68 7198.89 14899.02 19697.22 20597.17 23599.06 21199.21 4999.17 9798.85 17097.45 12199.86 9898.48 6899.70 13199.60 54
Regformer-198.55 11298.44 10898.87 15098.85 23197.29 19996.91 25198.99 23198.97 8298.99 12598.64 21197.26 13599.81 17097.79 10699.57 18499.51 103
Regformer-298.60 10398.46 10499.02 13398.85 23197.71 18096.91 25199.09 20798.98 8199.01 12198.64 21197.37 12699.84 13197.75 11399.57 18499.52 100
HPM-MVS++copyleft98.10 15997.64 18899.48 5199.09 17899.13 5797.52 20498.75 27297.46 18796.90 30297.83 29096.01 19799.84 13195.82 23999.35 23199.46 131
test_prior497.97 15295.86 303
XVS98.72 8098.45 10699.53 3699.46 9899.21 2798.65 8399.34 12398.62 10297.54 26998.63 21597.50 11599.83 14696.79 17199.53 19699.56 76
v124098.55 11298.62 7998.32 21799.22 14395.58 25197.51 20699.45 8397.16 21999.45 4799.24 7896.12 19399.85 11399.60 499.88 5499.55 84
test_prior397.48 20997.00 22798.95 13998.69 26397.95 15795.74 30999.03 22096.48 24596.11 32797.63 30295.92 20699.59 29094.16 28499.20 25499.30 196
pm-mvs199.44 1399.48 1199.33 7699.80 1798.63 9199.29 2799.63 2399.30 4599.65 2399.60 2599.16 1499.82 15699.07 2999.83 6999.56 76
test_prior295.74 30996.48 24596.11 32797.63 30295.92 20694.16 28499.20 254
X-MVStestdata94.32 31092.59 32899.53 3699.46 9899.21 2798.65 8399.34 12398.62 10297.54 26945.85 37497.50 11599.83 14696.79 17199.53 19699.56 76
test_prior98.95 13998.69 26397.95 15799.03 22099.59 29099.30 196
旧先验295.76 30788.56 35997.52 27199.66 26794.48 274
新几何295.93 300
新几何198.91 14598.94 21097.76 17598.76 26987.58 36296.75 30998.10 27294.80 24099.78 20492.73 32399.00 28599.20 216
旧先验198.82 23997.45 19398.76 26998.34 25395.50 22099.01 28499.23 211
无先验95.74 30998.74 27489.38 35499.73 23292.38 32899.22 215
原ACMM295.53 316
原ACMM198.35 21598.90 22096.25 23798.83 26192.48 32796.07 33098.10 27295.39 22499.71 24192.61 32698.99 28699.08 235
test22298.92 21696.93 22095.54 31598.78 26785.72 36596.86 30598.11 27194.43 24799.10 27399.23 211
testdata299.79 19292.80 321
segment_acmp97.02 148
testdata98.09 23398.93 21295.40 25998.80 26490.08 35197.45 27798.37 24995.26 22699.70 24393.58 30598.95 29099.17 227
testdata195.44 32196.32 251
v899.01 3999.16 3098.57 19099.47 9796.31 23698.90 6899.47 7899.03 7699.52 3699.57 2896.93 15399.81 17099.60 499.98 999.60 54
131495.74 28895.60 28296.17 31597.53 34292.75 32298.07 14298.31 29691.22 34294.25 35596.68 33395.53 21799.03 35791.64 33697.18 34496.74 356
112196.73 25896.00 27198.91 14598.95 20997.76 17598.07 14298.73 27587.65 36196.54 31598.13 26794.52 24699.73 23292.38 32899.02 28299.24 210
LFMVS97.20 23196.72 24598.64 17798.72 25296.95 21998.93 6794.14 35899.74 798.78 16499.01 13084.45 33499.73 23297.44 12399.27 24499.25 207
VDD-MVS98.56 10898.39 11799.07 12099.13 17098.07 14198.59 9097.01 33099.59 2099.11 10199.27 7294.82 23799.79 19298.34 7699.63 15999.34 181
VDDNet98.21 15297.95 16599.01 13499.58 5397.74 17899.01 5997.29 32699.67 1098.97 13099.50 3990.45 29399.80 17997.88 10399.20 25499.48 121
v1098.97 4699.11 3398.55 19599.44 10396.21 23898.90 6899.55 4898.73 9699.48 4199.60 2596.63 17399.83 14699.70 399.99 599.61 53
VPNet98.87 5998.83 5199.01 13499.70 3897.62 18698.43 11199.35 11799.47 2799.28 7599.05 11496.72 16999.82 15698.09 8999.36 22999.59 60
MVS93.19 32792.09 33196.50 30896.91 35694.03 29398.07 14298.06 30768.01 37294.56 35496.48 33795.96 20499.30 34383.84 36596.89 34996.17 361
v2v48298.56 10898.62 7998.37 21499.42 10895.81 24897.58 19899.16 19497.90 15199.28 7599.01 13095.98 20299.79 19299.33 1599.90 4999.51 103
V4298.78 7098.78 5798.76 16899.44 10397.04 21598.27 12299.19 18197.87 15399.25 8599.16 9296.84 15799.78 20499.21 2399.84 6399.46 131
SD-MVS98.40 13298.68 7197.54 27098.96 20797.99 14797.88 16599.36 11198.20 13199.63 2699.04 11798.76 2395.33 37596.56 19499.74 11199.31 193
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
GA-MVS95.86 28595.32 29397.49 27398.60 27794.15 29093.83 35797.93 31095.49 27696.68 31097.42 31583.21 34299.30 34396.22 21898.55 31099.01 246
MSLP-MVS++98.02 16598.14 15097.64 26198.58 28095.19 26597.48 20899.23 17297.47 18297.90 24398.62 21797.04 14598.81 36597.55 11799.41 22198.94 261
APDe-MVS98.99 4198.79 5699.60 1399.21 14599.15 4898.87 7099.48 7297.57 17399.35 6399.24 7897.83 8499.89 6397.88 10399.70 13199.75 23
APD-MVS_3200maxsize98.84 6298.61 8299.53 3699.19 15299.27 2198.49 10399.33 12898.64 9899.03 12098.98 13797.89 8099.85 11396.54 19899.42 22099.46 131
ADS-MVSNet295.43 29594.98 30196.76 30598.14 31491.74 33397.92 16197.76 31390.23 34796.51 31898.91 15185.61 32599.85 11392.88 31796.90 34798.69 294
EI-MVSNet98.40 13298.51 9398.04 24099.10 17594.73 27697.20 23198.87 24798.97 8299.06 11099.02 12196.00 19899.80 17998.58 6099.82 7299.60 54
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
CVMVSNet96.25 27797.21 21793.38 35299.10 17580.56 37897.20 23198.19 30296.94 22899.00 12499.02 12189.50 30099.80 17996.36 21199.59 17499.78 14
pmmvs497.58 20297.28 21298.51 20198.84 23496.93 22095.40 32298.52 28793.60 31398.61 18598.65 20895.10 23099.60 28696.97 15599.79 8998.99 250
EU-MVSNet97.66 19698.50 9595.13 33599.63 5085.84 36498.35 11898.21 29998.23 12799.54 3199.46 4695.02 23199.68 25698.24 8099.87 5799.87 4
VNet98.42 12998.30 12998.79 16298.79 24597.29 19998.23 12598.66 27999.31 4398.85 15498.80 18294.80 24099.78 20498.13 8599.13 26899.31 193
test-LLR93.90 31993.85 31394.04 34396.53 36284.62 36994.05 35492.39 36596.17 25494.12 35795.07 35782.30 34799.67 25995.87 23598.18 31897.82 331
TESTMET0.1,192.19 33791.77 33793.46 35096.48 36482.80 37494.05 35491.52 36894.45 29894.00 36094.88 36366.65 37899.56 29995.78 24098.11 32398.02 323
test-mter92.33 33591.76 33894.04 34396.53 36284.62 36994.05 35492.39 36594.00 30994.12 35795.07 35765.63 38199.67 25995.87 23598.18 31897.82 331
VPA-MVSNet99.30 2499.30 2399.28 8399.49 8798.36 11599.00 6199.45 8399.63 1499.52 3699.44 5198.25 5199.88 7499.09 2899.84 6399.62 48
ACMMPR98.70 8498.42 11299.54 2999.52 7599.14 5398.52 9799.31 13697.47 18298.56 19598.54 22697.75 9199.88 7496.57 19199.59 17499.58 66
testgi98.32 13998.39 11798.13 23299.57 5795.54 25297.78 17499.49 7097.37 19699.19 9297.65 30098.96 1799.49 31796.50 20198.99 28699.34 181
test20.0398.78 7098.77 5998.78 16599.46 9897.20 20897.78 17499.24 17099.04 7599.41 5198.90 15497.65 9799.76 21797.70 11499.79 8999.39 159
thres600view794.45 30893.83 31496.29 31199.06 18891.53 33597.99 15594.24 35698.34 11697.44 27895.01 35979.84 35599.67 25984.33 36498.23 31597.66 341
ADS-MVSNet95.24 29894.93 30396.18 31498.14 31490.10 34797.92 16197.32 32590.23 34796.51 31898.91 15185.61 32599.74 22892.88 31796.90 34798.69 294
MP-MVScopyleft98.46 12598.09 15399.54 2999.57 5799.22 2698.50 10299.19 18197.61 17097.58 26598.66 20697.40 12499.88 7494.72 26999.60 17099.54 88
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs17.12 34420.53 3476.87 36012.05 3824.20 38493.62 3606.73 3834.62 37810.41 37824.33 3758.28 3833.56 3799.69 37715.07 37612.86 375
thres40094.14 31593.44 31996.24 31398.93 21291.44 33797.60 19594.29 35497.94 14797.10 28894.31 36779.67 35799.62 27983.05 36698.08 32597.66 341
test12317.04 34520.11 3487.82 35910.25 3834.91 38394.80 3354.47 3844.93 37710.00 37924.28 3769.69 3823.64 37810.14 37612.43 37714.92 374
thres20093.72 32293.14 32495.46 33298.66 27391.29 34196.61 26894.63 35297.39 19496.83 30693.71 37079.88 35499.56 29982.40 36998.13 32295.54 368
test0.0.03 194.51 30793.69 31696.99 29296.05 36993.61 31094.97 33293.49 36096.17 25497.57 26794.88 36382.30 34799.01 36093.60 30494.17 36998.37 313
pmmvs395.03 30294.40 30896.93 29597.70 33692.53 32495.08 32997.71 31588.57 35897.71 25598.08 27579.39 35999.82 15696.19 22099.11 27298.43 309
EMVS93.83 32094.02 31293.23 35396.83 35984.96 36789.77 37096.32 34197.92 14997.43 27996.36 34286.17 32098.93 36287.68 35897.73 33295.81 366
E-PMN94.17 31494.37 30993.58 34996.86 35785.71 36690.11 36997.07 32998.17 13497.82 25097.19 32384.62 33398.94 36189.77 35297.68 33396.09 365
PGM-MVS98.66 9398.37 12099.55 2699.53 7399.18 3898.23 12599.49 7097.01 22698.69 17498.88 16398.00 7399.89 6395.87 23599.59 17499.58 66
LCM-MVSNet-Re98.64 9698.48 10099.11 11198.85 23198.51 10498.49 10399.83 698.37 11499.69 1799.46 4698.21 5899.92 3994.13 28999.30 24098.91 266
LCM-MVSNet99.93 199.92 199.94 199.99 199.97 199.90 199.89 299.98 199.99 199.96 199.77 1100.00 199.81 1100.00 199.85 7
MCST-MVS98.00 16797.63 18999.10 11399.24 13898.17 13096.89 25398.73 27595.66 27197.92 24197.70 29897.17 14099.66 26796.18 22299.23 25099.47 129
mvs_anonymous97.83 18798.16 14696.87 29998.18 31291.89 33297.31 22298.90 24297.37 19698.83 15799.46 4696.28 19099.79 19298.90 4098.16 32098.95 257
MVS_Test98.18 15598.36 12197.67 25798.48 29094.73 27698.18 13099.02 22497.69 16398.04 23899.11 10297.22 13899.56 29998.57 6298.90 29298.71 291
MDA-MVSNet-bldmvs97.94 17197.91 16998.06 23899.44 10394.96 27196.63 26799.15 20098.35 11598.83 15799.11 10294.31 25199.85 11396.60 18898.72 29999.37 169
CDPH-MVS97.26 22596.66 25199.07 12099.00 19998.15 13196.03 29399.01 22791.21 34397.79 25197.85 28996.89 15599.69 24792.75 32299.38 22799.39 159
test1298.93 14298.58 28097.83 16798.66 27996.53 31695.51 21999.69 24799.13 26899.27 203
casdiffmvs98.95 4999.00 4298.81 15899.38 11397.33 19797.82 17299.57 3799.17 5799.35 6399.17 9098.35 4899.69 24798.46 6999.73 11499.41 150
diffmvs98.22 15198.24 13598.17 22999.00 19995.44 25796.38 28099.58 3097.79 15998.53 20098.50 23396.76 16699.74 22897.95 9999.64 15699.34 181
baseline293.73 32192.83 32796.42 30997.70 33691.28 34296.84 25689.77 37293.96 31092.44 36695.93 34679.14 36099.77 21092.94 31596.76 35198.21 315
baseline195.96 28395.44 28897.52 27298.51 28893.99 29698.39 11496.09 34498.21 12898.40 21497.76 29486.88 31499.63 27795.42 25489.27 37398.95 257
YYNet197.60 20097.67 18397.39 27999.04 19193.04 31795.27 32398.38 29497.25 20898.92 14198.95 14695.48 22299.73 23296.99 15298.74 29799.41 150
PMMVS298.07 16298.08 15698.04 24099.41 11094.59 28294.59 34499.40 9997.50 17998.82 16198.83 17696.83 15999.84 13197.50 12299.81 7699.71 27
MDA-MVSNet_test_wron97.60 20097.66 18697.41 27899.04 19193.09 31395.27 32398.42 29197.26 20798.88 15098.95 14695.43 22399.73 23297.02 14998.72 29999.41 150
tpmvs95.02 30395.25 29494.33 34196.39 36785.87 36398.08 14196.83 33695.46 27795.51 34598.69 19985.91 32399.53 30794.16 28496.23 35697.58 344
PM-MVS98.82 6398.72 6399.12 10999.64 4898.54 10297.98 15799.68 1897.62 16899.34 6599.18 8697.54 10999.77 21097.79 10699.74 11199.04 242
HQP_MVS97.99 17097.67 18398.93 14299.19 15297.65 18397.77 17799.27 15998.20 13197.79 25197.98 28094.90 23399.70 24394.42 27899.51 20299.45 135
plane_prior799.19 15297.87 163
plane_prior698.99 20397.70 18194.90 233
plane_prior599.27 15999.70 24394.42 27899.51 20299.45 135
plane_prior497.98 280
plane_prior397.78 17497.41 19297.79 251
plane_prior297.77 17798.20 131
plane_prior199.05 190
plane_prior97.65 18397.07 24096.72 23799.36 229
PS-CasMVS99.40 1899.33 2099.62 699.71 3299.10 6299.29 2799.53 5699.53 2399.46 4499.41 5598.23 5399.95 1798.89 4299.95 1699.81 11
UniMVSNet_NR-MVSNet98.86 6198.68 7199.40 6399.17 16198.74 8397.68 18699.40 9999.14 5899.06 11098.59 22296.71 17099.93 3098.57 6299.77 9799.53 96
PEN-MVS99.41 1799.34 1999.62 699.73 2599.14 5399.29 2799.54 5299.62 1799.56 2999.42 5298.16 6399.96 1098.78 4899.93 2899.77 16
TransMVSNet (Re)99.44 1399.47 1299.36 6599.80 1798.58 9799.27 3399.57 3799.39 3499.75 1299.62 2199.17 1299.83 14699.06 3099.62 16299.66 38
DTE-MVSNet99.43 1599.35 1799.66 499.71 3299.30 1799.31 2299.51 6099.64 1299.56 2999.46 4698.23 5399.97 498.78 4899.93 2899.72 26
DU-MVS98.82 6398.63 7799.39 6499.16 16398.74 8397.54 20299.25 16598.84 9299.06 11098.76 18996.76 16699.93 3098.57 6299.77 9799.50 107
UniMVSNet (Re)98.87 5998.71 6599.35 7099.24 13898.73 8697.73 18299.38 10398.93 8799.12 9998.73 19296.77 16499.86 9898.63 5999.80 8499.46 131
CP-MVSNet99.21 2999.09 3699.56 2499.65 4598.96 7199.13 4899.34 12399.42 3299.33 6699.26 7497.01 14999.94 2598.74 5399.93 2899.79 13
WR-MVS_H99.33 2399.22 2799.65 599.71 3299.24 2499.32 1899.55 4899.46 2899.50 4099.34 6497.30 12999.93 3098.90 4099.93 2899.77 16
WR-MVS98.40 13298.19 14199.03 13099.00 19997.65 18396.85 25498.94 23498.57 10898.89 14698.50 23395.60 21599.85 11397.54 11999.85 5999.59 60
NR-MVSNet98.95 4998.82 5299.36 6599.16 16398.72 8899.22 3699.20 17699.10 6799.72 1398.76 18996.38 18699.86 9898.00 9699.82 7299.50 107
Baseline_NR-MVSNet98.98 4598.86 4999.36 6599.82 1698.55 9997.47 21099.57 3799.37 3699.21 9099.61 2396.76 16699.83 14698.06 9199.83 6999.71 27
TranMVSNet+NR-MVSNet99.17 3099.07 3899.46 5699.37 11898.87 7498.39 11499.42 9599.42 3299.36 6199.06 10798.38 4499.95 1798.34 7699.90 4999.57 71
TSAR-MVS + GP.98.18 15597.98 16398.77 16798.71 25597.88 16296.32 28398.66 27996.33 25099.23 8998.51 23097.48 12099.40 33097.16 13699.46 21499.02 245
abl_698.99 4198.78 5799.61 999.45 10199.46 498.60 8899.50 6298.59 10499.24 8699.04 11798.54 3699.89 6396.45 20499.62 16299.50 107
n20.00 385
nn0.00 385
mPP-MVS98.64 9698.34 12499.54 2999.54 7199.17 3998.63 8599.24 17097.47 18298.09 23398.68 20197.62 10299.89 6396.22 21899.62 16299.57 71
door-mid99.57 37
XVG-OURS-SEG-HR98.49 12298.28 13199.14 10799.49 8798.83 7796.54 26999.48 7297.32 20199.11 10198.61 22099.33 899.30 34396.23 21798.38 31299.28 201
DWT-MVSNet_test92.75 33192.05 33294.85 33796.48 36487.21 35997.83 17194.99 34992.22 33192.72 36594.11 36970.75 37199.46 32495.01 26094.33 36897.87 329
MVSFormer98.26 14798.43 11097.77 25298.88 22693.89 30299.39 1399.56 4499.11 6098.16 22598.13 26793.81 26199.97 499.26 1899.57 18499.43 144
jason97.45 21297.35 20897.76 25399.24 13893.93 29895.86 30398.42 29194.24 30298.50 20298.13 26794.82 23799.91 4997.22 13399.73 11499.43 144
jason: jason.
lupinMVS97.06 24196.86 23697.65 25998.88 22693.89 30295.48 31997.97 30993.53 31498.16 22597.58 30493.81 26199.91 4996.77 17499.57 18499.17 227
test_djsdf99.52 999.51 999.53 3699.86 1198.74 8399.39 1399.56 4499.11 6099.70 1599.73 1099.00 1599.97 499.26 1899.98 999.89 2
HPM-MVS_fast99.01 3998.82 5299.57 1899.71 3299.35 1299.00 6199.50 6297.33 19998.94 13998.86 16798.75 2499.82 15697.53 12099.71 12699.56 76
RRT_test8_iter0595.24 29895.13 29895.57 32797.32 35087.02 36197.99 15599.41 9698.06 14199.12 9999.05 11466.85 37799.85 11398.93 3999.47 21399.84 8
K. test v398.00 16797.66 18699.03 13099.79 1997.56 18799.19 4392.47 36499.62 1799.52 3699.66 1789.61 29899.96 1099.25 2099.81 7699.56 76
lessismore_v098.97 13799.73 2597.53 18986.71 37599.37 5999.52 3889.93 29699.92 3998.99 3799.72 12199.44 140
SixPastTwentyTwo98.75 7698.62 7999.16 10499.83 1597.96 15699.28 3198.20 30099.37 3699.70 1599.65 1992.65 28099.93 3099.04 3299.84 6399.60 54
OurMVSNet-221017-099.37 2199.31 2299.53 3699.91 398.98 6799.63 699.58 3099.44 3099.78 1099.76 696.39 18499.92 3999.44 1399.92 3799.68 34
HPM-MVScopyleft98.79 6798.53 9099.59 1799.65 4599.29 1899.16 4599.43 9296.74 23698.61 18598.38 24798.62 3199.87 9196.47 20299.67 14899.59 60
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
XVG-OURS98.53 11798.34 12499.11 11199.50 8098.82 7995.97 29599.50 6297.30 20399.05 11598.98 13799.35 799.32 34095.72 24299.68 14299.18 223
XVG-ACMP-BASELINE98.56 10898.34 12499.22 9799.54 7198.59 9697.71 18399.46 8097.25 20898.98 12798.99 13397.54 10999.84 13195.88 23299.74 11199.23 211
LPG-MVS_test98.71 8198.46 10499.47 5499.57 5798.97 6898.23 12599.48 7296.60 24199.10 10499.06 10798.71 2799.83 14695.58 25199.78 9399.62 48
LGP-MVS_train99.47 5499.57 5798.97 6899.48 7296.60 24199.10 10499.06 10798.71 2799.83 14695.58 25199.78 9399.62 48
baseline98.96 4899.02 4098.76 16899.38 11397.26 20298.49 10399.50 6298.86 9099.19 9299.06 10798.23 5399.69 24798.71 5599.76 10799.33 187
test1198.87 247
door99.41 96
EPNet_dtu94.93 30494.78 30595.38 33393.58 37687.68 35796.78 25895.69 34897.35 19889.14 37298.09 27488.15 31199.49 31794.95 26399.30 24098.98 251
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CHOSEN 1792x268897.49 20797.14 22298.54 19899.68 4196.09 24196.50 27399.62 2491.58 33798.84 15698.97 13992.36 28299.88 7496.76 17599.95 1699.67 37
EPNet96.14 27995.44 28898.25 22490.76 37995.50 25597.92 16194.65 35198.97 8292.98 36498.85 17089.12 30299.87 9195.99 22899.68 14299.39 159
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP5-MVS96.79 223
HQP-NCC98.67 26896.29 28496.05 25995.55 340
ACMP_Plane98.67 26896.29 28496.05 25995.55 340
APD-MVScopyleft98.10 15997.67 18399.42 5899.11 17198.93 7297.76 17999.28 15694.97 28698.72 17398.77 18797.04 14599.85 11393.79 30099.54 19299.49 111
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
BP-MVS92.82 319
HQP4-MVS95.56 33999.54 30599.32 189
HQP3-MVS99.04 21899.26 247
HQP2-MVS93.84 259
CNVR-MVS98.17 15797.87 17299.07 12098.67 26898.24 12197.01 24298.93 23697.25 20897.62 26198.34 25397.27 13299.57 29696.42 20799.33 23499.39 159
NCCC97.86 17997.47 20199.05 12798.61 27598.07 14196.98 24498.90 24297.63 16797.04 29397.93 28595.99 20199.66 26795.31 25698.82 29599.43 144
114514_t96.50 26895.77 27598.69 17499.48 9597.43 19497.84 17099.55 4881.42 37096.51 31898.58 22395.53 21799.67 25993.41 31099.58 18098.98 251
CP-MVS98.70 8498.42 11299.52 4199.36 11999.12 5998.72 7999.36 11197.54 17798.30 21698.40 24397.86 8299.89 6396.53 19999.72 12199.56 76
DSMNet-mixed97.42 21497.60 19296.87 29999.15 16791.46 33698.54 9599.12 20392.87 32397.58 26599.63 2096.21 19199.90 5395.74 24199.54 19299.27 203
tpm293.09 32892.58 32994.62 33997.56 34086.53 36297.66 18895.79 34786.15 36494.07 35998.23 26275.95 36699.53 30790.91 34796.86 35097.81 333
NP-MVS98.84 23497.39 19696.84 330
EG-PatchMatch MVS98.99 4199.01 4198.94 14199.50 8097.47 19198.04 14899.59 2898.15 13899.40 5499.36 6198.58 3499.76 21798.78 4899.68 14299.59 60
tpm cat193.29 32693.13 32593.75 34797.39 34884.74 36897.39 21497.65 31783.39 36994.16 35698.41 24282.86 34599.39 33291.56 33895.35 36397.14 351
SteuartSystems-ACMMP98.79 6798.54 8999.54 2999.73 2599.16 4398.23 12599.31 13697.92 14998.90 14398.90 15498.00 7399.88 7496.15 22399.72 12199.58 66
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CostFormer93.97 31893.78 31594.51 34097.53 34285.83 36597.98 15795.96 34589.29 35594.99 35198.63 21578.63 36299.62 27994.54 27296.50 35298.09 321
CR-MVSNet96.28 27695.95 27397.28 28297.71 33494.22 28698.11 13798.92 23992.31 32996.91 29999.37 5885.44 32899.81 17097.39 12697.36 34197.81 333
JIA-IIPM95.52 29395.03 30097.00 29196.85 35894.03 29396.93 24895.82 34699.20 5294.63 35399.71 1283.09 34399.60 28694.42 27894.64 36597.36 349
Patchmtry97.35 21896.97 22998.50 20397.31 35196.47 23198.18 13098.92 23998.95 8698.78 16499.37 5885.44 32899.85 11395.96 23099.83 6999.17 227
PatchT96.65 26296.35 26497.54 27097.40 34795.32 26097.98 15796.64 33899.33 4296.89 30399.42 5284.32 33699.81 17097.69 11697.49 33497.48 347
tpmrst95.07 30195.46 28693.91 34597.11 35484.36 37197.62 19296.96 33194.98 28596.35 32498.80 18285.46 32799.59 29095.60 24996.23 35697.79 336
BH-w/o95.13 30094.89 30495.86 31998.20 31191.31 34095.65 31297.37 32193.64 31296.52 31795.70 35093.04 27499.02 35888.10 35795.82 36097.24 350
tpm94.67 30694.34 31095.66 32597.68 33888.42 35297.88 16594.90 35094.46 29696.03 33298.56 22578.66 36199.79 19295.88 23295.01 36498.78 284
DELS-MVS98.27 14598.20 13998.48 20498.86 22996.70 22795.60 31499.20 17697.73 16198.45 20598.71 19597.50 11599.82 15698.21 8299.59 17498.93 262
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
BH-untuned96.83 25496.75 24497.08 28998.74 24993.33 31196.71 26398.26 29796.72 23798.44 20697.37 31995.20 22799.47 32291.89 33297.43 33798.44 308
RPMNet97.02 24596.93 23097.30 28197.71 33494.22 28698.11 13799.30 14699.37 3696.91 29999.34 6486.72 31599.87 9197.53 12097.36 34197.81 333
MVSTER96.86 25396.55 25997.79 25097.91 32694.21 28897.56 20098.87 24797.49 18199.06 11099.05 11480.72 35299.80 17998.44 7099.82 7299.37 169
CPTT-MVS97.84 18597.36 20799.27 8699.31 12698.46 10798.29 12099.27 15994.90 28897.83 24898.37 24994.90 23399.84 13193.85 29999.54 19299.51 103
GBi-Net98.65 9498.47 10299.17 10198.90 22098.24 12199.20 3999.44 8698.59 10498.95 13399.55 3294.14 25499.86 9897.77 10899.69 13799.41 150
PVSNet_Blended_VisFu98.17 15798.15 14898.22 22699.73 2595.15 26697.36 21799.68 1894.45 29898.99 12599.27 7296.87 15699.94 2597.13 14299.91 4399.57 71
PVSNet_BlendedMVS97.55 20397.53 19497.60 26398.92 21693.77 30696.64 26699.43 9294.49 29497.62 26199.18 8696.82 16099.67 25994.73 26799.93 2899.36 175
UnsupCasMVSNet_eth97.89 17597.60 19298.75 17099.31 12697.17 21197.62 19299.35 11798.72 9798.76 16998.68 20192.57 28199.74 22897.76 11295.60 36199.34 181
UnsupCasMVSNet_bld97.30 22296.92 23298.45 20799.28 13196.78 22696.20 28999.27 15995.42 27898.28 21898.30 25793.16 26999.71 24194.99 26197.37 33998.87 270
PVSNet_Blended96.88 25296.68 24897.47 27498.92 21693.77 30694.71 33799.43 9290.98 34597.62 26197.36 32096.82 16099.67 25994.73 26799.56 18998.98 251
FMVSNet596.01 28195.20 29698.41 21097.53 34296.10 23998.74 7699.50 6297.22 21798.03 23999.04 11769.80 37299.88 7497.27 13199.71 12699.25 207
test198.65 9498.47 10299.17 10198.90 22098.24 12199.20 3999.44 8698.59 10498.95 13399.55 3294.14 25499.86 9897.77 10899.69 13799.41 150
new_pmnet96.99 24996.76 24397.67 25798.72 25294.89 27295.95 29998.20 30092.62 32698.55 19798.54 22694.88 23699.52 31193.96 29399.44 21998.59 302
FMVSNet397.50 20597.24 21598.29 22198.08 31895.83 24797.86 16898.91 24197.89 15298.95 13398.95 14687.06 31399.81 17097.77 10899.69 13799.23 211
dp93.47 32493.59 31893.13 35496.64 36181.62 37797.66 18896.42 34092.80 32496.11 32798.64 21178.55 36499.59 29093.31 31292.18 37298.16 318
FMVSNet298.49 12298.40 11498.75 17098.90 22097.14 21498.61 8799.13 20198.59 10499.19 9299.28 7094.14 25499.82 15697.97 9899.80 8499.29 200
FMVSNet199.17 3099.17 2999.17 10199.55 6898.24 12199.20 3999.44 8699.21 4999.43 4999.55 3297.82 8799.86 9898.42 7299.89 5399.41 150
N_pmnet97.63 19997.17 21898.99 13699.27 13397.86 16495.98 29493.41 36195.25 28299.47 4398.90 15495.63 21499.85 11396.91 15899.73 11499.27 203
cascas94.79 30594.33 31196.15 31896.02 37192.36 32892.34 36699.26 16485.34 36695.08 35094.96 36292.96 27598.53 36794.41 28198.59 30897.56 345
BH-RMVSNet96.83 25496.58 25697.58 26598.47 29194.05 29196.67 26597.36 32296.70 23997.87 24597.98 28095.14 22999.44 32790.47 35098.58 30999.25 207
UGNet98.53 11798.45 10698.79 16297.94 32496.96 21899.08 5198.54 28599.10 6796.82 30799.47 4596.55 17699.84 13198.56 6599.94 2499.55 84
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
WTY-MVS96.67 26196.27 26997.87 24698.81 24194.61 28196.77 25997.92 31194.94 28797.12 28797.74 29591.11 29099.82 15693.89 29698.15 32199.18 223
XXY-MVS99.14 3299.15 3299.10 11399.76 2397.74 17898.85 7399.62 2498.48 11199.37 5999.49 4298.75 2499.86 9898.20 8399.80 8499.71 27
DROMVSNet99.09 3599.05 3999.20 9899.28 13198.93 7299.24 3599.84 599.08 7298.12 22998.37 24998.72 2699.90 5399.05 3199.77 9798.77 285
sss97.21 23096.93 23098.06 23898.83 23695.22 26496.75 26198.48 28994.49 29497.27 28497.90 28692.77 27899.80 17996.57 19199.32 23599.16 230
Test_1112_low_res96.99 24996.55 25998.31 21999.35 12395.47 25695.84 30699.53 5691.51 33996.80 30898.48 23891.36 28999.83 14696.58 18999.53 19699.62 48
1112_ss97.29 22496.86 23698.58 18799.34 12596.32 23596.75 26199.58 3093.14 31996.89 30397.48 31192.11 28599.86 9896.91 15899.54 19299.57 71
ab-mvs-re8.12 34710.83 3500.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 38097.48 3110.00 3840.00 3800.00 3780.00 3780.00 376
ab-mvs98.41 13098.36 12198.59 18699.19 15297.23 20399.32 1898.81 26297.66 16598.62 18399.40 5796.82 16099.80 17995.88 23299.51 20298.75 288
TR-MVS95.55 29295.12 29996.86 30297.54 34193.94 29796.49 27496.53 33994.36 30197.03 29496.61 33494.26 25399.16 35486.91 36096.31 35597.47 348
MDTV_nov1_ep13_2view74.92 38097.69 18590.06 35297.75 25485.78 32493.52 30698.69 294
MDTV_nov1_ep1395.22 29597.06 35583.20 37397.74 18196.16 34294.37 30096.99 29598.83 17683.95 33999.53 30793.90 29597.95 329
MIMVSNet199.38 2099.32 2199.55 2699.86 1199.19 3799.41 1299.59 2899.59 2099.71 1499.57 2897.12 14199.90 5399.21 2399.87 5799.54 88
MIMVSNet96.62 26496.25 27097.71 25699.04 19194.66 27999.16 4596.92 33497.23 21497.87 24599.10 10486.11 32299.65 27291.65 33599.21 25398.82 274
IterMVS-LS98.55 11298.70 6898.09 23399.48 9594.73 27697.22 23099.39 10198.97 8299.38 5799.31 6896.00 19899.93 3098.58 6099.97 1199.60 54
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
CDS-MVSNet97.69 19397.35 20898.69 17498.73 25097.02 21796.92 25098.75 27295.89 26698.59 18998.67 20392.08 28699.74 22896.72 18099.81 7699.32 189
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
ACMMP++_ref99.77 97
IterMVS97.73 19198.11 15296.57 30699.24 13890.28 34695.52 31899.21 17498.86 9099.33 6699.33 6693.11 27099.94 2598.49 6799.94 2499.48 121
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
DP-MVS Recon97.33 22096.92 23298.57 19099.09 17897.99 14796.79 25799.35 11793.18 31897.71 25598.07 27695.00 23299.31 34193.97 29299.13 26898.42 310
MVS_111021_LR98.30 14198.12 15198.83 15599.16 16398.03 14596.09 29299.30 14697.58 17298.10 23298.24 26098.25 5199.34 33796.69 18399.65 15499.12 232
DP-MVS98.93 5198.81 5499.28 8399.21 14598.45 10898.46 10899.33 12899.63 1499.48 4199.15 9697.23 13799.75 22497.17 13599.66 15399.63 47
ACMMP++99.68 142
HQP-MVS97.00 24896.49 26198.55 19598.67 26896.79 22396.29 28499.04 21896.05 25995.55 34096.84 33093.84 25999.54 30592.82 31999.26 24799.32 189
QAPM97.31 22196.81 24198.82 15698.80 24397.49 19099.06 5699.19 18190.22 34997.69 25799.16 9296.91 15499.90 5390.89 34899.41 22199.07 236
Vis-MVSNetpermissive99.34 2299.36 1699.27 8699.73 2598.26 11999.17 4499.78 899.11 6099.27 7799.48 4498.82 2199.95 1798.94 3899.93 2899.59 60
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
MVS-HIRNet94.32 31095.62 28190.42 35698.46 29275.36 37996.29 28489.13 37395.25 28295.38 34699.75 792.88 27699.19 35294.07 29199.39 22496.72 357
IS-MVSNet98.19 15497.90 17099.08 11799.57 5797.97 15299.31 2298.32 29599.01 7898.98 12799.03 12091.59 28899.79 19295.49 25399.80 8499.48 121
HyFIR lowres test97.19 23296.60 25598.96 13899.62 5297.28 20195.17 32699.50 6294.21 30399.01 12198.32 25686.61 31699.99 297.10 14499.84 6399.60 54
EPMVS93.72 32293.27 32195.09 33696.04 37087.76 35698.13 13485.01 37794.69 29296.92 29798.64 21178.47 36599.31 34195.04 25996.46 35398.20 316
PAPM_NR96.82 25696.32 26698.30 22099.07 18396.69 22897.48 20898.76 26995.81 26996.61 31496.47 33894.12 25799.17 35390.82 34997.78 33199.06 237
TAMVS98.24 15098.05 15898.80 16099.07 18397.18 21097.88 16598.81 26296.66 24099.17 9799.21 8194.81 23999.77 21096.96 15699.88 5499.44 140
PAPR95.29 29694.47 30697.75 25497.50 34695.14 26794.89 33498.71 27791.39 34195.35 34795.48 35494.57 24599.14 35684.95 36397.37 33998.97 255
RPSCF98.62 10098.36 12199.42 5899.65 4599.42 598.55 9499.57 3797.72 16298.90 14399.26 7496.12 19399.52 31195.72 24299.71 12699.32 189
Vis-MVSNet (Re-imp)97.46 21097.16 21998.34 21699.55 6896.10 23998.94 6698.44 29098.32 11898.16 22598.62 21788.76 30499.73 23293.88 29799.79 8999.18 223
test_040298.76 7498.71 6598.93 14299.56 6498.14 13398.45 11099.34 12399.28 4698.95 13398.91 15198.34 4999.79 19295.63 24899.91 4398.86 271
MVS_111021_HR98.25 14998.08 15698.75 17099.09 17897.46 19295.97 29599.27 15997.60 17197.99 24098.25 25998.15 6599.38 33496.87 16699.57 18499.42 147
CSCG98.68 9098.50 9599.20 9899.45 10198.63 9198.56 9399.57 3797.87 15398.85 15498.04 27797.66 9699.84 13196.72 18099.81 7699.13 231
PatchMatch-RL97.24 22896.78 24298.61 18499.03 19497.83 16796.36 28199.06 21193.49 31697.36 28397.78 29295.75 21199.49 31793.44 30998.77 29698.52 303
API-MVS97.04 24496.91 23497.42 27797.88 32798.23 12598.18 13098.50 28897.57 17397.39 28196.75 33296.77 16499.15 35590.16 35199.02 28294.88 369
Test By Simon96.52 177
TDRefinement99.42 1699.38 1599.55 2699.76 2399.33 1699.68 599.71 1399.38 3599.53 3499.61 2398.64 3099.80 17998.24 8099.84 6399.52 100
USDC97.41 21597.40 20397.44 27698.94 21093.67 30895.17 32699.53 5694.03 30898.97 13099.10 10495.29 22599.34 33795.84 23899.73 11499.30 196
EPP-MVSNet98.30 14198.04 15999.07 12099.56 6497.83 16799.29 2798.07 30699.03 7698.59 18999.13 9992.16 28499.90 5396.87 16699.68 14299.49 111
PMMVS96.51 26695.98 27298.09 23397.53 34295.84 24694.92 33398.84 25691.58 33796.05 33195.58 35195.68 21399.66 26795.59 25098.09 32498.76 287
PAPM91.88 33890.34 34196.51 30798.06 31992.56 32392.44 36597.17 32786.35 36390.38 37096.01 34486.61 31699.21 35170.65 37595.43 36297.75 337
ACMMPcopyleft98.75 7698.50 9599.52 4199.56 6499.16 4398.87 7099.37 10797.16 21998.82 16199.01 13097.71 9399.87 9196.29 21599.69 13799.54 88
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
CNLPA97.17 23496.71 24698.55 19598.56 28398.05 14496.33 28298.93 23696.91 23097.06 29297.39 31694.38 25099.45 32691.66 33499.18 26098.14 319
PatchmatchNetpermissive95.58 29195.67 28095.30 33497.34 34987.32 35897.65 19096.65 33795.30 28197.07 29198.69 19984.77 33199.75 22494.97 26298.64 30598.83 273
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
PHI-MVS98.29 14497.95 16599.34 7398.44 29499.16 4398.12 13699.38 10396.01 26298.06 23598.43 24197.80 8899.67 25995.69 24499.58 18099.20 216
F-COLMAP97.30 22296.68 24899.14 10799.19 15298.39 11097.27 22699.30 14692.93 32196.62 31398.00 27895.73 21299.68 25692.62 32598.46 31199.35 179
ANet_high99.57 799.67 599.28 8399.89 698.09 13599.14 4799.93 199.82 399.93 299.81 399.17 1299.94 2599.31 16100.00 199.82 9
wuyk23d96.06 28097.62 19091.38 35598.65 27498.57 9898.85 7396.95 33296.86 23299.90 499.16 9299.18 1198.40 36889.23 35499.77 9777.18 373
OMC-MVS97.88 17797.49 19799.04 12998.89 22598.63 9196.94 24699.25 16595.02 28498.53 20098.51 23097.27 13299.47 32293.50 30899.51 20299.01 246
MG-MVS96.77 25796.61 25397.26 28398.31 30493.06 31495.93 30098.12 30596.45 24797.92 24198.73 19293.77 26399.39 33291.19 34499.04 27899.33 187
AdaColmapbinary97.14 23696.71 24698.46 20698.34 30297.80 17396.95 24598.93 23695.58 27296.92 29797.66 29995.87 20899.53 30790.97 34599.14 26598.04 322
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
ITE_SJBPF98.87 15099.22 14398.48 10699.35 11797.50 17998.28 21898.60 22197.64 10099.35 33693.86 29899.27 24498.79 283
DeepMVS_CXcopyleft93.44 35198.24 30894.21 28894.34 35364.28 37391.34 36994.87 36589.45 30192.77 37677.54 37493.14 37093.35 371
TinyColmap97.89 17597.98 16397.60 26398.86 22994.35 28596.21 28899.44 8697.45 18999.06 11098.88 16397.99 7699.28 34694.38 28299.58 18099.18 223
MAR-MVS96.47 27095.70 27898.79 16297.92 32599.12 5998.28 12198.60 28392.16 33295.54 34396.17 34394.77 24299.52 31189.62 35398.23 31597.72 339
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
LF4IMVS97.90 17397.69 18298.52 19999.17 16197.66 18297.19 23499.47 7896.31 25297.85 24798.20 26496.71 17099.52 31194.62 27099.72 12198.38 311
MSDG97.71 19297.52 19598.28 22298.91 21996.82 22294.42 34799.37 10797.65 16698.37 21598.29 25897.40 12499.33 33994.09 29099.22 25198.68 297
LS3D98.63 9898.38 11999.36 6597.25 35299.38 699.12 5099.32 13099.21 4998.44 20698.88 16397.31 12899.80 17996.58 18999.34 23398.92 263
CLD-MVS97.49 20797.16 21998.48 20499.07 18397.03 21694.71 33799.21 17494.46 29698.06 23597.16 32597.57 10699.48 32094.46 27599.78 9398.95 257
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
FPMVS93.44 32592.23 33097.08 28999.25 13797.86 16495.61 31397.16 32892.90 32293.76 36298.65 20875.94 36795.66 37379.30 37397.49 33497.73 338
Gipumacopyleft99.03 3899.16 3098.64 17799.94 298.51 10499.32 1899.75 1199.58 2298.60 18799.62 2198.22 5699.51 31597.70 11499.73 11497.89 327
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015