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
DeepC-MVS_fast96.70 198.55 2498.34 2299.18 3499.25 6798.04 4298.50 16398.78 7297.72 498.92 2999.28 2895.27 4799.82 5197.55 5199.77 2099.69 38
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DeepPCF-MVS96.37 297.93 5098.48 1396.30 23299.00 8989.54 29597.43 26598.87 4998.16 299.26 999.38 1296.12 2099.64 10398.30 2199.77 2099.72 33
DeepC-MVS95.98 397.88 5197.58 5298.77 6199.25 6796.93 8198.83 9298.75 7996.96 4196.89 11899.50 490.46 12799.87 3897.84 3799.76 2699.52 69
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
PLCcopyleft95.07 497.20 8596.78 8798.44 8299.29 5896.31 10898.14 20498.76 7692.41 22696.39 15498.31 13394.92 5699.78 7794.06 15998.77 10499.23 105
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
3Dnovator94.51 597.46 6996.93 8099.07 4597.78 17497.64 5699.35 1099.06 2197.02 3993.75 23099.16 4589.25 14299.92 1597.22 6099.75 3299.64 56
3Dnovator+94.38 697.43 7496.78 8799.38 1297.83 17298.52 1499.37 798.71 9297.09 3792.99 25199.13 4789.36 13999.89 2996.97 6699.57 5899.71 35
TAPA-MVS93.98 795.35 17094.56 18197.74 12099.13 8294.83 19198.33 17998.64 11386.62 31396.29 15698.61 10394.00 7599.29 14380.00 32599.41 7999.09 120
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
HY-MVS93.96 896.82 10096.23 10998.57 7198.46 13697.00 7898.14 20498.21 17993.95 15296.72 12797.99 15691.58 10899.76 8494.51 14896.54 16498.95 135
ACMM93.85 995.69 14095.38 13596.61 20397.61 18293.84 23398.91 7398.44 14795.25 10494.28 20698.47 11686.04 23799.12 16295.50 12393.95 22096.87 230
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
ACMP93.49 1095.34 17194.98 15396.43 22397.67 17893.48 24298.73 12298.44 14794.94 12192.53 26198.53 11084.50 26499.14 16095.48 12494.00 21896.66 258
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
PCF-MVS93.45 1194.68 20993.43 24598.42 8598.62 12996.77 8895.48 32498.20 18284.63 32693.34 24098.32 13288.55 17599.81 5384.80 31698.96 9498.68 148
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
COLMAP_ROBcopyleft93.27 1295.33 17294.87 16396.71 18699.29 5893.24 24898.58 14698.11 20489.92 28593.57 23399.10 5186.37 22399.79 7290.78 23998.10 13197.09 209
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
OpenMVScopyleft93.04 1395.83 13295.00 15198.32 8997.18 21497.32 6799.21 3198.97 2989.96 28291.14 28099.05 6086.64 21999.92 1593.38 17499.47 7297.73 188
ACMH+92.99 1494.30 22893.77 22595.88 24797.81 17392.04 26398.71 12598.37 15893.99 14990.60 28798.47 11680.86 29599.05 17392.75 19692.40 24396.55 274
LTVRE_ROB92.95 1594.60 21393.90 21796.68 19297.41 20094.42 21698.52 15898.59 11691.69 24491.21 27998.35 12684.87 25499.04 17791.06 23593.44 23196.60 267
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
ACMH92.88 1694.55 21793.95 21496.34 23097.63 18093.26 24798.81 10098.49 14293.43 18189.74 29298.53 11081.91 28899.08 17193.69 16793.30 23496.70 249
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
IB-MVS91.98 1793.27 25891.97 26697.19 16097.47 19293.41 24597.09 28695.99 31693.32 19192.47 26495.73 29678.06 30999.53 12694.59 14582.98 32098.62 153
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
PVSNet91.96 1896.35 11596.15 11096.96 17499.17 7892.05 26296.08 31498.68 9893.69 17097.75 8397.80 17488.86 15699.69 9794.26 15599.01 9299.15 115
PVSNet_088.72 1991.28 28790.03 29095.00 27997.99 16387.29 32194.84 33198.50 13892.06 23689.86 29195.19 30279.81 30299.39 13792.27 20769.79 34498.33 170
OpenMVS_ROBcopyleft86.42 2089.00 30287.43 30893.69 30393.08 32689.42 29797.91 22996.89 29978.58 33885.86 31294.69 30869.48 33598.29 26977.13 33293.29 23593.36 336
CMPMVSbinary66.06 2189.70 29989.67 29489.78 31893.19 32576.56 33897.00 28798.35 16080.97 33581.57 33297.75 17674.75 32598.61 21689.85 26193.63 22594.17 329
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
MVEpermissive62.14 2263.28 32959.38 32974.99 33774.33 35465.47 35185.55 34880.50 35852.02 35151.10 35175.00 35110.91 36380.50 35351.60 35153.40 34678.99 349
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
PMVScopyleft61.03 2365.95 32563.57 32773.09 33957.90 35751.22 35885.05 34993.93 34554.45 34944.32 35383.57 34213.22 35989.15 34858.68 35081.00 32678.91 350
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
ppachtmachnet_test93.22 26092.63 25894.97 28095.45 30790.84 27896.88 29797.88 22590.60 26992.08 27397.26 21088.08 18897.86 29485.12 31590.33 26196.22 290
SMA-MVS98.64 1198.33 2599.59 299.51 2899.11 398.95 6998.83 5893.77 16199.52 399.52 396.94 599.89 2998.06 2599.84 799.76 20
tfpn11195.43 16094.74 17397.51 14298.98 9294.92 17498.87 8196.90 29595.38 9196.61 13096.88 25784.29 26699.59 11088.43 28796.32 17598.02 177
conf0.0195.56 14994.84 16597.72 12198.90 9995.93 12599.17 3595.70 32193.42 18296.50 14597.16 21686.12 22799.22 14990.51 24596.06 19098.02 177
GSMVS99.20 107
test_part398.55 15396.40 5799.31 2299.93 996.37 96
conf0.00295.56 14994.84 16597.72 12198.90 9995.93 12599.17 3595.70 32193.42 18296.50 14597.16 21686.12 22799.22 14990.51 24596.06 19098.02 177
thresconf0.0295.50 15294.84 16597.51 14298.90 9995.93 12599.17 3595.70 32193.42 18296.50 14597.16 21686.12 22799.22 14990.51 24596.06 19097.37 200
tfpn_n40095.50 15294.84 16597.51 14298.90 9995.93 12599.17 3595.70 32193.42 18296.50 14597.16 21686.12 22799.22 14990.51 24596.06 19097.37 200
tfpnconf95.50 15294.84 16597.51 14298.90 9995.93 12599.17 3595.70 32193.42 18296.50 14597.16 21686.12 22799.22 14990.51 24596.06 19097.37 200
tfpnview1195.50 15294.84 16597.51 14298.90 9995.93 12599.17 3595.70 32193.42 18296.50 14597.16 21686.12 22799.22 14990.51 24596.06 19097.37 200
tfpn100095.72 13695.11 14797.58 13899.00 8995.73 14299.24 2095.49 32994.08 14496.87 12097.45 19885.81 23999.30 14191.78 22196.22 18697.71 190
test_part299.63 2199.18 199.27 7
tfpn_ndepth95.53 15194.90 16297.39 15698.96 9695.88 13799.05 5795.27 33093.80 16096.95 11196.93 25285.53 24399.40 13591.54 22796.10 18996.89 227
test_part198.84 5497.38 299.78 1599.76 20
conf200view1195.40 16594.70 17597.50 14798.98 9294.92 17498.87 8196.90 29595.38 9196.61 13096.88 25784.29 26699.56 11988.11 29396.29 17798.02 177
thres100view90095.38 16694.70 17597.41 15198.98 9294.92 17498.87 8196.90 29595.38 9196.61 13096.88 25784.29 26699.56 11988.11 29396.29 17797.76 185
tfpnnormal93.66 25192.70 25796.55 21396.94 22595.94 12298.97 6799.19 1591.04 26691.38 27897.34 20584.94 25398.61 21685.45 31389.02 27895.11 311
tfpn200view995.32 17394.62 17897.43 15098.94 9794.98 17098.68 13396.93 29395.33 9996.55 13696.53 27284.23 27199.56 11988.11 29396.29 17797.76 185
view60095.60 14594.93 15797.62 13299.05 8494.85 18099.09 5297.01 28795.36 9596.52 14097.37 20184.55 25999.59 11089.07 27796.39 16998.40 162
view80095.60 14594.93 15797.62 13299.05 8494.85 18099.09 5297.01 28795.36 9596.52 14097.37 20184.55 25999.59 11089.07 27796.39 16998.40 162
conf0.05thres100095.60 14594.93 15797.62 13299.05 8494.85 18099.09 5297.01 28795.36 9596.52 14097.37 20184.55 25999.59 11089.07 27796.39 16998.40 162
tfpn95.60 14594.93 15797.62 13299.05 8494.85 18099.09 5297.01 28795.36 9596.52 14097.37 20184.55 25999.59 11089.07 27796.39 16998.40 162
ESAPD98.70 598.39 1599.62 199.63 2199.18 198.55 15398.84 5496.40 5799.27 799.31 2297.38 299.93 996.37 9699.78 1599.76 20
CHOSEN 280x42097.18 8697.18 7197.20 15998.81 11493.27 24695.78 32299.15 1895.25 10496.79 12698.11 14792.29 9199.07 17298.56 999.85 299.25 103
CANet98.05 4597.76 4798.90 5798.73 11897.27 6998.35 17798.78 7297.37 1997.72 8698.96 7291.53 11399.92 1598.79 399.65 4699.51 72
Fast-Effi-MVS+-dtu95.87 13095.85 11895.91 24597.74 17691.74 26998.69 12998.15 19495.56 8394.92 17497.68 18488.98 15198.79 20793.19 18097.78 14297.20 208
Effi-MVS+-dtu96.29 11896.56 9695.51 25797.89 16990.22 28998.80 10398.10 20996.57 5296.45 15396.66 26790.81 12298.91 19295.72 11497.99 13397.40 197
CANet_DTU96.96 9496.55 9798.21 9398.17 15496.07 11397.98 22198.21 17997.24 2797.13 10398.93 7686.88 21699.91 2495.00 13699.37 8398.66 150
MVS_030497.70 5997.25 6799.07 4598.90 9997.83 5198.20 19498.74 8097.51 898.03 6699.06 5986.12 22799.93 999.02 199.64 4899.44 87
MP-MVS-pluss98.31 4197.92 4499.49 699.72 1198.88 798.43 17098.78 7294.10 14397.69 8899.42 695.25 4899.92 1598.09 2499.80 1099.67 49
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
HSP-MVS98.70 598.52 899.24 2799.75 398.23 3199.26 1798.58 12197.52 799.41 498.78 8896.00 2699.79 7297.79 3999.59 5599.69 38
sam_mvs189.45 13799.20 107
sam_mvs88.99 148
semantic-postprocess94.85 28497.98 16590.56 28698.11 20493.75 16292.58 25997.48 19583.91 27797.41 30392.48 20591.30 25596.58 269
TSAR-MVS + MP.98.78 398.62 499.24 2799.69 1798.28 3099.14 4498.66 10896.84 4399.56 299.31 2296.34 1399.70 9498.32 2099.73 3799.73 30
xiu_mvs_v1_base_debu97.60 6397.56 5397.72 12198.35 13795.98 11497.86 23798.51 13397.13 3499.01 2098.40 12091.56 10999.80 6098.53 1098.68 10597.37 200
OPM-MVS95.69 14095.33 13896.76 18496.16 28194.63 20698.43 17098.39 15596.64 5095.02 17398.78 8885.15 25099.05 17395.21 13494.20 21096.60 267
ACMMP_Plus98.61 1598.30 2799.55 399.62 2398.95 698.82 9498.81 6295.80 7499.16 1599.47 595.37 4399.92 1597.89 3399.75 3299.79 4
ambc89.49 31986.66 34275.78 34092.66 34196.72 30486.55 30992.50 33246.01 34997.90 28890.32 25282.09 32194.80 316
zzz-MVS98.55 2498.25 3199.46 899.76 198.64 1198.55 15398.74 8097.27 2598.02 6799.39 894.81 5799.96 197.91 3099.79 1199.77 14
MTGPAbinary98.74 80
mvs-test196.60 10596.68 9396.37 22697.89 16991.81 26598.56 15198.10 20996.57 5296.52 14097.94 15990.81 12299.45 13495.72 11498.01 13297.86 184
Effi-MVS+97.12 8996.69 9198.39 8698.19 15096.72 9097.37 27098.43 15093.71 16797.65 9298.02 15292.20 9699.25 14596.87 7897.79 14199.19 109
xiu_mvs_v2_base97.66 6297.70 4997.56 14098.61 13095.46 15197.44 26398.46 14397.15 3298.65 4198.15 14494.33 6999.80 6097.84 3798.66 10997.41 196
xiu_mvs_v1_base97.60 6397.56 5397.72 12198.35 13795.98 11497.86 23798.51 13397.13 3499.01 2098.40 12091.56 10999.80 6098.53 1098.68 10597.37 200
new-patchmatchnet88.50 30687.45 30791.67 31590.31 33485.89 32497.16 28497.33 27089.47 29683.63 32892.77 32976.38 31795.06 33482.70 31977.29 33894.06 332
pmmvs691.77 28390.63 28495.17 27594.69 31991.24 27598.67 13697.92 22386.14 31689.62 29397.56 19375.79 32098.34 26190.75 24084.56 31995.94 298
pmmvs593.65 25392.97 25295.68 25495.49 30592.37 25898.20 19497.28 27389.66 29392.58 25997.26 21082.14 28698.09 27893.18 18190.95 25896.58 269
test_post196.68 30430.43 35787.85 19698.69 21092.59 200
test_post31.83 35688.83 16098.91 192
Fast-Effi-MVS+96.28 12095.70 12698.03 10798.29 14395.97 11898.58 14698.25 17491.74 24395.29 17097.23 21391.03 12199.15 15892.90 19297.96 13498.97 131
patchmatchnet-post95.10 30589.42 13898.89 196
Anonymous2023121183.69 31381.50 31590.26 31789.23 33780.10 33597.97 22297.06 28372.79 34382.05 33192.57 33150.28 34796.32 32876.15 33575.38 34194.37 326
pmmvs-eth3d90.36 29689.05 29994.32 29891.10 33292.12 26097.63 25696.95 29288.86 30384.91 32693.13 31978.32 30896.74 31988.70 28481.81 32494.09 331
GG-mvs-BLEND96.59 20596.34 26194.98 17096.51 31288.58 35293.10 24994.34 31280.34 30198.05 28089.53 26996.99 15496.74 242
xiu_mvs_v1_base_debi97.60 6397.56 5397.72 12198.35 13795.98 11497.86 23798.51 13397.13 3499.01 2098.40 12091.56 10999.80 6098.53 1098.68 10597.37 200
Anonymous2023120691.66 28491.10 27293.33 30694.02 32387.35 32098.58 14697.26 27590.48 27090.16 28996.31 27983.83 28096.53 32579.36 32789.90 26596.12 293
MTAPA98.58 2098.29 2899.46 899.76 198.64 1198.90 7498.74 8097.27 2598.02 6799.39 894.81 5799.96 197.91 3099.79 1199.77 14
MTMP94.14 343
gm-plane-assit95.88 29287.47 31989.74 29196.94 24899.19 15693.32 177
test9_res96.39 9599.57 5899.69 38
MVP-Stereo94.28 23193.92 21595.35 27194.95 31492.60 25797.97 22297.65 23491.61 24590.68 28697.09 22786.32 22498.42 24789.70 26699.34 8495.02 314
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
TEST999.31 5098.50 1597.92 22698.73 8592.63 21197.74 8498.68 9796.20 1599.80 60
train_agg97.97 4697.52 5699.33 1799.31 5098.50 1597.92 22698.73 8592.98 20297.74 8498.68 9796.20 1599.80 6096.59 8699.57 5899.68 44
gg-mvs-nofinetune92.21 27190.58 28597.13 16496.75 23795.09 16495.85 32089.40 35185.43 32294.50 18681.98 34480.80 29698.40 26092.16 20898.33 12397.88 183
Patchmatch-test195.32 17394.97 15596.35 22897.67 17891.29 27497.33 27597.60 23594.68 12596.92 11696.95 24683.97 27698.50 23391.33 23298.32 12499.25 103
Patchmatch-test94.42 22393.68 23296.63 20097.60 18391.76 26794.83 33297.49 25589.45 29794.14 21597.10 22588.99 14898.83 20385.37 31498.13 13099.29 99
test_899.29 5898.44 1797.89 23498.72 8792.98 20297.70 8798.66 10096.20 1599.80 60
MS-PatchMatch93.84 24993.63 23394.46 29696.18 27789.45 29697.76 24598.27 16992.23 23492.13 27297.49 19479.50 30398.69 21089.75 26499.38 8295.25 309
Patchmatch-RL test91.49 28590.85 27793.41 30591.37 33184.40 32592.81 34095.93 31991.87 24187.25 30594.87 30688.99 14896.53 32592.54 20382.00 32299.30 97
agg_prior397.87 5297.42 6299.23 2999.29 5898.23 3197.92 22698.72 8792.38 22897.59 9598.64 10296.09 2199.79 7296.59 8699.57 5899.68 44
cdsmvs_eth3d_5k23.98 33231.98 3320.00 3470.00 3610.00 3620.00 35398.59 1160.00 3570.00 35898.61 10390.60 1260.00 3600.00 3570.00 3580.00 358
pcd_1.5k_mvsjas7.88 33610.50 3370.00 3470.00 3610.00 3620.00 3530.00 3630.00 3570.00 3580.00 35994.51 630.00 3600.00 3570.00 3580.00 358
pcd1.5k->3k39.42 33041.78 33132.35 34396.17 2780.00 3620.00 35398.54 1260.00 3570.00 3580.00 35987.78 1980.00 3600.00 35793.56 22797.06 210
agg_prior197.95 4897.51 5799.28 2299.30 5598.38 2097.81 24198.72 8793.16 19697.57 9698.66 10096.14 1899.81 5396.63 8599.56 6499.66 51
agg_prior295.87 10999.57 5899.68 44
agg_prior99.30 5598.38 2098.72 8797.57 9699.81 53
tmp_tt68.90 32366.97 32374.68 33850.78 35859.95 35487.13 34683.47 35738.80 35362.21 34796.23 28364.70 34276.91 35688.91 28130.49 35387.19 343
canonicalmvs97.67 6197.23 6998.98 5198.70 12198.38 2099.34 1198.39 15596.76 4597.67 8997.40 20092.26 9299.49 12998.28 2296.28 18199.08 123
anonymousdsp95.42 16294.91 16196.94 17695.10 31295.90 13599.14 4498.41 15193.75 16293.16 24497.46 19687.50 20798.41 25495.63 12094.03 21796.50 280
alignmvs97.56 6797.07 7699.01 4898.66 12598.37 2398.83 9298.06 21696.74 4698.00 7197.65 18590.80 12499.48 13398.37 1996.56 16399.19 109
nrg03096.28 12095.72 12297.96 11096.90 22998.15 3899.39 598.31 16395.47 8694.42 19698.35 12692.09 9998.69 21097.50 5489.05 27697.04 212
v14419294.39 22593.70 23096.48 21896.06 28494.35 22098.58 14698.16 19391.45 24994.33 20097.02 23987.50 20798.45 24191.08 23489.11 27596.63 263
FIs96.51 11096.12 11197.67 12997.13 21797.54 6199.36 899.22 1495.89 7194.03 22198.35 12691.98 10298.44 24496.40 9492.76 24097.01 213
v192192094.20 23393.47 24496.40 22595.98 28794.08 22798.52 15898.15 19491.33 25794.25 20897.20 21586.41 22298.42 24790.04 25989.39 27396.69 254
UA-Net97.96 4797.62 5098.98 5198.86 11097.47 6398.89 7899.08 2096.67 4998.72 3899.54 193.15 8299.81 5394.87 13798.83 10199.65 53
v119294.32 22793.58 23796.53 21496.10 28294.45 21598.50 16398.17 19191.54 24794.19 21297.06 23286.95 21598.43 24690.14 25489.57 26896.70 249
FC-MVSNet-test96.42 11396.05 11297.53 14196.95 22497.27 6999.36 899.23 1295.83 7393.93 22398.37 12492.00 10198.32 26396.02 10492.72 24197.00 214
v114494.59 21593.92 21596.60 20496.21 27594.78 20198.59 14498.14 19691.86 24294.21 21197.02 23987.97 19098.41 25491.72 22389.57 26896.61 265
sosnet-low-res0.00 3370.00 3380.00 3470.00 3610.00 3620.00 3530.00 3630.00 3570.00 3580.00 3590.00 3650.00 3600.00 3570.00 3580.00 358
HFP-MVS98.63 1498.40 1499.32 1899.72 1198.29 2899.23 2298.96 3196.10 6798.94 2499.17 4296.06 2399.92 1597.62 4699.78 1599.75 23
v14894.29 22993.76 22795.91 24596.10 28292.93 25398.58 14697.97 22192.59 21493.47 23896.95 24688.53 17698.32 26392.56 20187.06 30596.49 281
sosnet0.00 3370.00 3380.00 3470.00 3610.00 3620.00 3530.00 3630.00 3570.00 3580.00 3590.00 3650.00 3600.00 3570.00 3580.00 358
v74893.75 25093.06 25095.82 24995.73 29792.64 25699.25 1998.24 17691.60 24692.22 27096.52 27487.60 20498.46 23990.64 24285.72 31596.36 286
uncertanet0.00 3370.00 3380.00 3470.00 3610.00 3620.00 3530.00 3630.00 3570.00 3580.00 3590.00 3650.00 3600.00 3570.00 3580.00 358
AllTest95.24 17694.65 17796.99 17199.25 6793.21 24998.59 14498.18 18691.36 25493.52 23598.77 9084.67 25699.72 8989.70 26697.87 13798.02 177
TestCases96.99 17199.25 6793.21 24998.18 18691.36 25493.52 23598.77 9084.67 25699.72 8989.70 26697.87 13798.02 177
v7n94.19 23493.43 24596.47 21995.90 29094.38 21999.26 1798.34 16191.99 23792.76 25597.13 22488.31 18098.52 23089.48 27187.70 29796.52 277
v114194.75 20294.11 20596.67 19596.27 27394.86 17998.69 12998.12 19992.43 22494.31 20296.94 24888.78 16698.48 23492.63 19988.85 28496.67 255
region2R98.61 1598.38 1799.29 2099.74 798.16 3799.23 2298.93 3696.15 6298.94 2499.17 4295.91 3199.94 397.55 5199.79 1199.78 7
testing_290.61 29588.50 30296.95 17590.08 33595.57 14697.69 25098.06 21693.02 20076.55 33792.48 33361.18 34498.44 24495.45 12591.98 24796.84 233
test_normal94.72 20593.59 23698.11 10195.30 31095.95 12197.91 22997.39 26594.64 12985.70 31495.88 29380.52 29899.36 13996.69 8398.30 12599.01 129
v1neww94.83 19494.22 19496.68 19296.39 25494.85 18098.87 8198.11 20492.45 22194.45 18897.06 23288.82 16198.54 22392.93 18988.91 28096.65 260
PS-MVSNAJss96.43 11296.26 10796.92 17995.84 29495.08 16599.16 4298.50 13895.87 7293.84 22898.34 13094.51 6398.61 21696.88 7593.45 23097.06 210
PS-MVSNAJ97.73 5797.77 4697.62 13298.68 12495.58 14597.34 27498.51 13397.29 2098.66 4097.88 16494.51 6399.90 2797.87 3499.17 8997.39 198
jajsoiax95.45 15995.03 15096.73 18595.42 30894.63 20699.14 4498.52 13195.74 7593.22 24298.36 12583.87 27998.65 21496.95 6994.04 21696.91 224
mvs_tets95.41 16495.00 15196.65 19795.58 30294.42 21699.00 6298.55 12595.73 7693.21 24398.38 12383.45 28298.63 21597.09 6494.00 21896.91 224
#test#98.54 2698.27 2999.32 1899.72 1198.29 2898.98 6698.96 3195.65 8098.94 2499.17 4296.06 2399.92 1597.21 6199.78 1599.75 23
EI-MVSNet-UG-set98.41 3298.34 2298.61 6999.45 3696.32 10698.28 18898.68 9897.17 3198.74 3799.37 1395.25 4899.79 7298.57 899.54 6799.73 30
EI-MVSNet-Vis-set98.47 3098.39 1598.69 6499.46 3596.49 9998.30 18698.69 9597.21 2898.84 3099.36 1795.41 4299.78 7798.62 699.65 4699.80 3
Regformer-398.59 1898.50 1198.86 5999.43 3897.05 7798.40 17398.68 9897.43 1399.06 1799.31 2295.80 3599.77 8298.62 699.76 2699.78 7
Regformer-498.64 1198.53 798.99 4999.43 3897.37 6698.40 17398.79 7097.46 1299.09 1699.31 2295.86 3499.80 6098.64 499.76 2699.79 4
Regformer-198.66 998.51 1099.12 4299.35 4097.81 5398.37 17598.76 7697.49 1099.20 1399.21 3596.08 2299.79 7298.42 1699.73 3799.75 23
Regformer-298.69 898.52 899.19 3099.35 4098.01 4498.37 17598.81 6297.48 1199.21 1299.21 3596.13 1999.80 6098.40 1899.73 3799.75 23
v7new94.83 19494.22 19496.68 19296.39 25494.85 18098.87 8198.11 20492.45 22194.45 18897.06 23288.82 16198.54 22392.93 18988.91 28096.65 260
HPM-MVS++copyleft98.58 2098.25 3199.55 399.50 3099.08 498.72 12498.66 10897.51 898.15 5898.83 8495.70 3699.92 1597.53 5399.67 4299.66 51
test_prior498.01 4497.86 237
XVS98.70 598.49 1299.34 1599.70 1598.35 2599.29 1498.88 4797.40 1498.46 4899.20 3895.90 3299.89 2997.85 3599.74 3599.78 7
v124094.06 24493.29 24896.34 23096.03 28693.90 23198.44 16898.17 19191.18 26594.13 21697.01 24186.05 23598.42 24789.13 27689.50 27196.70 249
test_prior398.22 4497.90 4599.19 3099.31 5098.22 3397.80 24298.84 5496.12 6597.89 7898.69 9595.96 2899.70 9496.89 7299.60 5299.65 53
v1892.10 27390.97 27395.50 25896.34 26194.85 18098.82 9497.52 24389.99 28185.31 31893.26 31788.90 15596.92 31088.82 28279.77 32994.73 317
pm-mvs193.94 24793.06 25096.59 20596.49 24995.16 16198.95 6998.03 22092.32 23191.08 28197.84 16884.54 26398.41 25492.16 20886.13 31496.19 292
test_prior297.80 24296.12 6597.89 7898.69 9595.96 2896.89 7299.60 52
X-MVStestdata94.06 24492.30 26399.34 1599.70 1598.35 2599.29 1498.88 4797.40 1498.46 4843.50 35395.90 3299.89 2997.85 3599.74 3599.78 7
test_prior99.19 3099.31 5098.22 3398.84 5499.70 9499.65 53
v1792.08 27490.94 27495.48 26096.34 26194.83 19198.81 10097.52 24389.95 28385.32 31693.24 31888.91 15496.91 31188.76 28379.63 33094.71 319
v1692.08 27490.94 27495.49 25996.38 25794.84 18998.81 10097.51 24689.94 28485.25 31993.28 31688.86 15696.91 31188.70 28479.78 32894.72 318
divwei89l23v2f11294.76 20094.12 20496.67 19596.28 27194.85 18098.69 12998.12 19992.44 22394.29 20596.94 24888.85 15898.48 23492.67 19788.79 28696.67 255
v1591.94 27690.77 27895.43 26596.31 26994.83 19198.77 11197.50 24989.92 28585.13 32093.08 32188.76 16796.86 31388.40 28879.10 33294.61 323
旧先验297.57 25991.30 25998.67 3999.80 6095.70 118
新几何297.64 254
新几何199.16 3799.34 4298.01 4498.69 9590.06 28098.13 5998.95 7494.60 6199.89 2991.97 21699.47 7299.59 64
旧先验199.29 5897.48 6298.70 9499.09 5595.56 3899.47 7299.61 59
无先验97.58 25898.72 8791.38 25399.87 3893.36 17599.60 62
原ACMM297.67 252
原ACMM198.65 6799.32 4896.62 9298.67 10593.27 19497.81 8098.97 6895.18 5099.83 4693.84 16499.46 7599.50 74
v1391.88 28090.69 28295.43 26596.33 26594.78 20198.75 11597.50 24989.68 29284.93 32592.98 32588.84 15996.83 31588.14 29279.09 33394.69 320
v1291.89 27990.70 28195.43 26596.31 26994.80 19698.76 11497.50 24989.76 28984.95 32493.00 32488.82 16196.82 31788.23 29179.00 33694.68 322
test22299.23 7397.17 7597.40 26698.66 10888.68 30498.05 6398.96 7294.14 7299.53 6899.61 59
testdata299.89 2991.65 225
segment_acmp96.85 6
testdata98.26 9199.20 7795.36 15498.68 9891.89 23998.60 4499.10 5194.44 6899.82 5194.27 15499.44 7799.58 66
testdata197.32 27696.34 59
v894.47 22193.77 22596.57 20996.36 25894.83 19199.05 5798.19 18391.92 23893.16 24496.97 24488.82 16198.48 23491.69 22487.79 29696.39 284
131496.25 12295.73 12197.79 11897.13 21795.55 14998.19 19898.59 11693.47 18092.03 27497.82 17291.33 11599.49 12994.62 14398.44 11898.32 171
112197.37 7996.77 8999.16 3799.34 4297.99 4798.19 19898.68 9890.14 27898.01 6998.97 6894.80 5999.87 3893.36 17599.46 7599.61 59
LFMVS95.86 13194.98 15398.47 8098.87 10996.32 10698.84 9196.02 31593.40 18898.62 4299.20 3874.99 32399.63 10697.72 4397.20 15199.46 84
v794.69 20694.04 20796.62 20296.41 25394.79 19998.78 11098.13 19791.89 23994.30 20497.16 21688.13 18698.45 24191.96 21789.65 26796.61 265
v694.83 19494.21 19696.69 18996.36 25894.85 18098.87 8198.11 20492.46 21694.44 19497.05 23688.76 16798.57 22192.95 18888.92 27996.65 260
VDD-MVS95.82 13395.23 14397.61 13798.84 11393.98 22998.68 13397.40 26395.02 11597.95 7399.34 2074.37 32899.78 7798.64 496.80 15799.08 123
v1191.85 28190.68 28395.36 27096.34 26194.74 20398.80 10397.43 26089.60 29585.09 32193.03 32388.53 17696.75 31887.37 30079.96 32794.58 325
VDDNet95.36 16994.53 18297.86 11398.10 15695.13 16398.85 8897.75 23090.46 27198.36 5499.39 873.27 33099.64 10397.98 2896.58 16298.81 141
v5294.18 23693.52 24096.13 23995.95 28994.29 22299.23 2298.21 17991.42 25192.84 25396.89 25587.85 19698.53 22991.51 22887.81 29495.57 307
V1491.93 27790.76 27995.42 26896.33 26594.81 19598.77 11197.51 24689.86 28785.09 32193.13 31988.80 16596.83 31588.32 28979.06 33494.60 324
v1094.29 22993.55 23896.51 21696.39 25494.80 19698.99 6398.19 18391.35 25693.02 25096.99 24288.09 18798.41 25490.50 25188.41 28996.33 288
V494.18 23693.52 24096.13 23995.89 29194.31 22199.23 2298.22 17891.42 25192.82 25496.89 25587.93 19298.52 23091.51 22887.81 29495.58 306
VPNet94.99 18594.19 19897.40 15397.16 21596.57 9598.71 12598.97 2995.67 7894.84 17698.24 14080.36 30098.67 21396.46 9187.32 30196.96 216
MVS94.67 21093.54 23998.08 10396.88 23096.56 9698.19 19898.50 13878.05 33992.69 25698.02 15291.07 12099.63 10690.09 25598.36 12298.04 176
v2v48294.69 20694.03 20896.65 19796.17 27894.79 19998.67 13698.08 21392.72 21094.00 22297.16 21687.69 20298.45 24192.91 19188.87 28296.72 245
v194.75 20294.11 20596.69 18996.27 27394.87 17898.69 12998.12 19992.43 22494.32 20196.94 24888.71 17098.54 22392.66 19888.84 28596.67 255
V4294.78 19994.14 20196.70 18896.33 26595.22 16098.97 6798.09 21292.32 23194.31 20297.06 23288.39 17998.55 22292.90 19288.87 28296.34 287
V991.91 27890.73 28095.45 26296.32 26894.80 19698.77 11197.50 24989.81 28885.03 32393.08 32188.76 16796.86 31388.24 29079.03 33594.69 320
SD-MVS98.64 1198.68 398.53 7599.33 4598.36 2498.90 7498.85 5397.28 2199.72 199.39 896.63 1097.60 29898.17 2399.85 299.64 56
GA-MVS94.81 19894.03 20897.14 16397.15 21693.86 23296.76 30297.58 23694.00 14894.76 18197.04 23780.91 29398.48 23491.79 22096.25 18399.09 120
MSLP-MVS++98.56 2398.57 598.55 7399.26 6696.80 8698.71 12599.05 2397.28 2198.84 3099.28 2896.47 1299.40 13598.52 1499.70 4099.47 80
APDe-MVS99.02 198.84 199.55 399.57 2598.96 599.39 598.93 3697.38 1799.41 499.54 196.66 899.84 4598.86 299.85 299.87 1
APD-MVS_3200maxsize98.53 2798.33 2599.15 3999.50 3097.92 4899.15 4398.81 6296.24 6099.20 1399.37 1395.30 4699.80 6097.73 4299.67 4299.72 33
ADS-MVSNet294.58 21694.40 18995.11 27798.00 16188.74 30696.04 31597.30 27190.15 27696.47 15196.64 26987.89 19397.56 30090.08 25697.06 15299.02 126
EI-MVSNet95.96 12695.83 11996.36 22797.93 16693.70 23998.12 20798.27 16993.70 16995.07 17199.02 6192.23 9498.54 22394.68 14193.46 22896.84 233
Regformer0.00 3370.00 3380.00 3470.00 3610.00 3620.00 3530.00 3630.00 3570.00 3580.00 3590.00 3650.00 3600.00 3570.00 3580.00 358
CVMVSNet95.43 16096.04 11393.57 30497.93 16683.62 32798.12 20798.59 11695.68 7796.56 13499.02 6187.51 20597.51 30193.56 17297.44 14899.60 62
pmmvs494.69 20693.99 21296.81 18295.74 29695.94 12297.40 26697.67 23390.42 27393.37 23997.59 19089.08 14798.20 27292.97 18791.67 25296.30 289
EU-MVSNet93.66 25194.14 20192.25 31395.96 28883.38 32898.52 15898.12 19994.69 12492.61 25898.13 14687.36 20996.39 32791.82 21990.00 26496.98 215
VNet97.79 5697.40 6398.96 5398.88 10897.55 6098.63 14098.93 3696.74 4699.02 1998.84 8390.33 13099.83 4698.53 1096.66 15999.50 74
test-LLR95.10 18294.87 16395.80 25096.77 23489.70 29396.91 29295.21 33195.11 11094.83 17895.72 29887.71 19998.97 18293.06 18398.50 11598.72 144
TESTMET0.1,194.18 23693.69 23195.63 25596.92 22689.12 30196.91 29294.78 33693.17 19594.88 17596.45 27678.52 30798.92 19193.09 18298.50 11598.85 138
test-mter94.08 24293.51 24295.80 25096.77 23489.70 29396.91 29295.21 33192.89 20694.83 17895.72 29877.69 31198.97 18293.06 18398.50 11598.72 144
VPA-MVSNet95.75 13595.11 14797.69 12797.24 20797.27 6998.94 7199.23 1295.13 10995.51 16697.32 20785.73 24098.91 19297.33 5989.55 27096.89 227
ACMMPR98.59 1898.36 1999.29 2099.74 798.15 3899.23 2298.95 3396.10 6798.93 2899.19 4195.70 3699.94 397.62 4699.79 1199.78 7
testgi93.06 26492.45 26194.88 28396.43 25289.90 29098.75 11597.54 24295.60 8191.63 27797.91 16174.46 32797.02 30886.10 30793.67 22397.72 189
test20.0390.89 29290.38 28692.43 31193.48 32488.14 31598.33 17997.56 23793.40 18887.96 30396.71 26680.69 29794.13 33679.15 32886.17 31295.01 315
thres600view795.49 15694.77 17197.67 12998.98 9295.02 16698.85 8896.90 29595.38 9196.63 12996.90 25484.29 26699.59 11088.65 28696.33 17498.40 162
111184.94 31284.30 31386.86 32487.59 33975.10 34196.63 30596.43 31282.53 33080.75 33492.91 32768.94 33693.79 33768.24 34384.66 31891.70 338
.test124573.05 32176.31 31963.27 34287.59 33975.10 34196.63 30596.43 31282.53 33080.75 33492.91 32768.94 33693.79 33768.24 34312.72 35520.91 355
ADS-MVSNet95.00 18494.45 18796.63 20098.00 16191.91 26496.04 31597.74 23190.15 27696.47 15196.64 26987.89 19398.96 18590.08 25697.06 15299.02 126
MP-MVScopyleft98.33 4098.01 4199.28 2299.75 398.18 3699.22 2898.79 7096.13 6497.92 7699.23 3294.54 6299.94 396.74 8299.78 1599.73 30
testmvs21.48 33324.95 33411.09 34614.89 3596.47 36196.56 3089.87 3617.55 35517.93 35539.02 3549.43 3645.90 35916.56 35612.72 35520.91 355
thres40095.38 16694.62 17897.65 13198.94 9794.98 17098.68 13396.93 29395.33 9996.55 13696.53 27284.23 27199.56 11988.11 29396.29 17798.40 162
test12320.95 33423.72 33512.64 34513.54 3608.19 36096.55 3106.13 3627.48 35616.74 35637.98 35512.97 3606.05 35816.69 3555.43 35723.68 354
thres20095.25 17594.57 18097.28 15798.81 11494.92 17498.20 19497.11 27995.24 10696.54 13896.22 28584.58 25899.53 12687.93 29796.50 16697.39 198
test0.0.03 194.08 24293.51 24295.80 25095.53 30492.89 25497.38 26895.97 31795.11 11092.51 26396.66 26787.71 19996.94 30987.03 30293.67 22397.57 193
test1235683.47 31483.37 31483.78 33084.43 34470.09 34895.12 32595.60 32882.98 32878.89 33692.43 33464.99 34191.41 34670.36 34185.55 31789.82 340
testus88.91 30389.08 29888.40 32191.39 33076.05 33996.56 30896.48 31189.38 29989.39 29695.17 30470.94 33393.56 33977.04 33395.41 20295.61 305
pmmvs386.67 31084.86 31292.11 31488.16 33887.19 32296.63 30594.75 33779.88 33787.22 30692.75 33066.56 34095.20 33381.24 32376.56 34093.96 333
testmv78.74 31577.35 31682.89 33278.16 35269.30 34995.87 31994.65 33881.11 33470.98 34487.11 34146.31 34890.42 34765.28 34676.72 33988.95 341
EMVS64.07 32763.26 32866.53 34181.73 34758.81 35791.85 34284.75 35651.93 35259.09 34975.13 35043.32 35179.09 35542.03 35339.47 35061.69 352
E-PMN64.94 32664.25 32667.02 34082.28 34659.36 35691.83 34385.63 35552.69 35060.22 34877.28 34941.06 35280.12 35446.15 35241.14 34961.57 353
test235688.68 30588.61 30188.87 32089.90 33678.23 33695.11 32696.66 30988.66 30589.06 29894.33 31373.14 33192.56 34375.56 33695.11 20495.81 301
test123567886.26 31185.81 31087.62 32386.97 34175.00 34396.55 31096.32 31486.08 31881.32 33392.98 32573.10 33292.05 34471.64 34087.32 30195.81 301
PGM-MVS98.49 2998.23 3499.27 2599.72 1198.08 4198.99 6399.49 595.43 8899.03 1899.32 2195.56 3899.94 396.80 8099.77 2099.78 7
LCM-MVSNet-Re95.22 17795.32 13994.91 28198.18 15287.85 31898.75 11595.66 32795.11 11088.96 29996.85 26090.26 13297.65 29695.65 11998.44 11899.22 106
LCM-MVSNet78.70 31676.24 32086.08 32677.26 35371.99 34694.34 33696.72 30461.62 34776.53 33889.33 33833.91 35692.78 34281.85 32174.60 34293.46 335
MCST-MVS98.65 1098.37 1899.48 799.60 2498.87 898.41 17298.68 9897.04 3898.52 4798.80 8796.78 799.83 4697.93 2999.61 5199.74 28
mvs_anonymous96.70 10396.53 9997.18 16198.19 15093.78 23498.31 18498.19 18394.01 14794.47 18798.27 13792.08 10098.46 23997.39 5797.91 13599.31 94
MVS_Test97.28 8297.00 7898.13 9998.33 14195.97 11898.74 11998.07 21494.27 14098.44 5298.07 14992.48 8899.26 14496.43 9398.19 12899.16 114
MDA-MVSNet-bldmvs89.97 29888.35 30494.83 28695.21 31191.34 27297.64 25497.51 24688.36 30671.17 34396.13 28879.22 30596.63 32483.65 31786.27 31196.52 277
CDPH-MVS97.94 4997.49 5899.28 2299.47 3498.44 1797.91 22998.67 10592.57 21598.77 3598.85 8295.93 3099.72 8995.56 12199.69 4199.68 44
test1299.18 3499.16 7998.19 3598.53 12998.07 6295.13 5299.72 8999.56 6499.63 58
diffmvs96.32 11795.74 12098.07 10598.26 14496.14 11198.53 15798.23 17790.10 27996.88 11997.73 17790.16 13399.15 15893.90 16397.85 13998.91 137
YYNet190.70 29489.39 29594.62 29194.79 31790.65 28497.20 28197.46 25687.54 31072.54 34195.74 29586.51 22096.66 32386.00 30886.76 31096.54 275
PMMVS277.95 31875.44 32185.46 32782.54 34574.95 34494.23 33793.08 34672.80 34274.68 33987.38 33936.36 35491.56 34573.95 33863.94 34589.87 339
MDA-MVSNet_test_wron90.71 29389.38 29694.68 28994.83 31690.78 28197.19 28297.46 25687.60 30972.41 34295.72 29886.51 22096.71 32285.92 30986.80 30996.56 273
tpmvs94.60 21394.36 19095.33 27297.46 19388.60 30996.88 29797.68 23291.29 26093.80 22996.42 27888.58 17299.24 14691.06 23596.04 19698.17 173
PM-MVS87.77 30786.55 30991.40 31691.03 33383.36 32996.92 29095.18 33391.28 26186.48 31093.42 31553.27 34696.74 31989.43 27281.97 32394.11 330
HQP_MVS96.14 12395.90 11796.85 18097.42 19794.60 21198.80 10398.56 12397.28 2195.34 16798.28 13487.09 21199.03 17896.07 10094.27 20796.92 219
plane_prior797.42 19794.63 206
plane_prior697.35 20294.61 20987.09 211
plane_prior598.56 12399.03 17896.07 10094.27 20796.92 219
plane_prior498.28 134
plane_prior394.61 20997.02 3995.34 167
plane_prior298.80 10397.28 21
plane_prior197.37 201
plane_prior94.60 21198.44 16896.74 4694.22 209
PS-CasMVS94.67 21093.99 21296.71 18696.68 24195.26 15999.13 4799.03 2493.68 17292.33 26797.95 15885.35 24798.10 27693.59 17188.16 29296.79 237
UniMVSNet_NR-MVSNet95.71 13895.15 14697.40 15396.84 23296.97 7998.74 11999.24 1095.16 10893.88 22597.72 18091.68 10698.31 26595.81 11087.25 30396.92 219
PEN-MVS94.42 22393.73 22996.49 21796.28 27194.84 18999.17 3599.00 2693.51 17892.23 26997.83 17186.10 23497.90 28892.55 20286.92 30796.74 242
TransMVSNet (Re)92.67 26691.51 27096.15 23796.58 24494.65 20498.90 7496.73 30390.86 26889.46 29597.86 16585.62 24298.09 27886.45 30581.12 32595.71 303
DTE-MVSNet93.98 24693.26 24996.14 23896.06 28494.39 21899.20 3298.86 5293.06 19891.78 27597.81 17385.87 23897.58 29990.53 24486.17 31296.46 283
DU-MVS95.42 16294.76 17297.40 15396.53 24696.97 7998.66 13898.99 2895.43 8893.88 22597.69 18188.57 17398.31 26595.81 11087.25 30396.92 219
UniMVSNet (Re)95.78 13495.19 14597.58 13896.99 22397.47 6398.79 10899.18 1695.60 8193.92 22497.04 23791.68 10698.48 23495.80 11287.66 29896.79 237
CP-MVSNet94.94 19194.30 19296.83 18196.72 23995.56 14799.11 5098.95 3393.89 15492.42 26697.90 16287.19 21098.12 27594.32 15288.21 29096.82 236
WR-MVS_H95.05 18394.46 18596.81 18296.86 23195.82 13999.24 2099.24 1093.87 15692.53 26196.84 26190.37 12898.24 27193.24 17887.93 29396.38 285
WR-MVS95.15 18094.46 18597.22 15896.67 24296.45 10098.21 19398.81 6294.15 14193.16 24497.69 18187.51 20598.30 26795.29 13088.62 28796.90 226
NR-MVSNet94.98 18794.16 19997.44 14996.53 24697.22 7398.74 11998.95 3394.96 11889.25 29797.69 18189.32 14098.18 27394.59 14587.40 30096.92 219
Baseline_NR-MVSNet94.35 22693.81 22195.96 24396.20 27694.05 22898.61 14396.67 30791.44 25093.85 22797.60 18988.57 17398.14 27494.39 14986.93 30695.68 304
TranMVSNet+NR-MVSNet95.14 18194.48 18397.11 16696.45 25196.36 10499.03 6099.03 2495.04 11493.58 23297.93 16088.27 18198.03 28194.13 15786.90 30896.95 218
TSAR-MVS + GP.98.38 3498.24 3398.81 6099.22 7497.25 7298.11 20998.29 16897.19 3098.99 2399.02 6196.22 1499.67 9998.52 1498.56 11399.51 72
abl_698.30 4298.03 4099.13 4099.56 2697.76 5499.13 4798.82 5996.14 6399.26 999.37 1393.33 7999.93 996.96 6899.67 4299.69 38
n20.00 363
nn0.00 363
mPP-MVS98.51 2898.26 3099.25 2699.75 398.04 4299.28 1698.81 6296.24 6098.35 5599.23 3295.46 4199.94 397.42 5699.81 999.77 14
door-mid94.37 340
DI_MVS_plusplus_test94.74 20493.62 23498.09 10295.34 30995.92 13298.09 21297.34 26794.66 12885.89 31195.91 29280.49 29999.38 13896.66 8498.22 12698.97 131
XVG-OURS-SEG-HR96.51 11096.34 10397.02 17098.77 11693.76 23597.79 24498.50 13895.45 8796.94 11399.09 5587.87 19599.55 12596.76 8195.83 19997.74 187
DWT-MVSNet_test94.82 19794.36 19096.20 23697.35 20290.79 28098.34 17896.57 31092.91 20595.33 16996.44 27782.00 28799.12 16294.52 14795.78 20098.70 146
MVSFormer97.57 6697.49 5897.84 11498.07 15795.76 14099.47 298.40 15394.98 11698.79 3398.83 8492.34 8998.41 25496.91 7099.59 5599.34 91
jason97.32 8197.08 7598.06 10697.45 19695.59 14497.87 23697.91 22494.79 12398.55 4698.83 8491.12 11799.23 14797.58 4899.60 5299.34 91
jason: jason.
lupinMVS97.44 7397.22 7098.12 10098.07 15795.76 14097.68 25197.76 22994.50 13498.79 3398.61 10392.34 8999.30 14197.58 4899.59 5599.31 94
test_djsdf96.00 12595.69 12796.93 17795.72 29895.49 15099.47 298.40 15394.98 11694.58 18397.86 16589.16 14598.41 25496.91 7094.12 21596.88 229
Test492.21 27190.34 28797.82 11792.83 32795.87 13897.94 22598.05 21994.50 13482.12 33094.48 30959.54 34598.54 22395.39 12698.22 12699.06 125
HPM-MVS_fast98.38 3498.13 3799.12 4299.75 397.86 4999.44 498.82 5994.46 13798.94 2499.20 3895.16 5199.74 8897.58 4899.85 299.77 14
PatchFormer-LS_test95.47 15795.27 14296.08 24197.59 18490.66 28398.10 21197.34 26793.98 15096.08 15996.15 28787.65 20399.12 16295.27 13195.24 20398.44 161
testpf88.74 30489.09 29787.69 32295.78 29583.16 33084.05 35094.13 34485.22 32390.30 28894.39 31174.92 32495.80 32989.77 26293.28 23684.10 346
K. test v392.55 26791.91 26894.48 29495.64 30089.24 29999.07 5694.88 33594.04 14686.78 30797.59 19077.64 31497.64 29792.08 21089.43 27296.57 271
lessismore_v094.45 29794.93 31588.44 31291.03 34986.77 30897.64 18776.23 31898.42 24790.31 25385.64 31696.51 279
SixPastTwentyTwo93.34 25692.86 25394.75 28895.67 29989.41 29898.75 11596.67 30793.89 15490.15 29098.25 13980.87 29498.27 27090.90 23890.64 25996.57 271
OurMVSNet-221017-094.21 23294.00 21094.85 28495.60 30189.22 30098.89 7897.43 26095.29 10292.18 27198.52 11382.86 28498.59 21993.46 17391.76 25196.74 242
HPM-MVScopyleft98.36 3698.10 3899.13 4099.74 797.82 5299.53 198.80 6994.63 13098.61 4398.97 6895.13 5299.77 8297.65 4599.83 899.79 4
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
XVG-OURS96.55 10996.41 10196.99 17198.75 11793.76 23597.50 26298.52 13195.67 7896.83 12199.30 2788.95 15399.53 12695.88 10896.26 18297.69 191
XVG-ACMP-BASELINE94.54 21894.14 20195.75 25396.55 24591.65 27098.11 20998.44 14794.96 11894.22 21097.90 16279.18 30699.11 16694.05 16093.85 22196.48 282
LPG-MVS_test95.62 14395.34 13696.47 21997.46 19393.54 24098.99 6398.54 12694.67 12694.36 19898.77 9085.39 24599.11 16695.71 11694.15 21396.76 240
LGP-MVS_train96.47 21997.46 19393.54 24098.54 12694.67 12694.36 19898.77 9085.39 24599.11 16695.71 11694.15 21396.76 240
test1198.66 108
door94.64 339
EPNet_dtu95.21 17894.95 15695.99 24296.17 27890.45 28798.16 20397.27 27496.77 4493.14 24798.33 13190.34 12998.42 24785.57 31198.81 10399.09 120
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CHOSEN 1792x268897.12 8996.80 8498.08 10399.30 5594.56 21398.05 21499.71 193.57 17797.09 10498.91 7988.17 18399.89 2996.87 7899.56 6499.81 2
EPNet97.28 8296.87 8398.51 7694.98 31396.14 11198.90 7497.02 28598.28 195.99 16399.11 4991.36 11499.89 2996.98 6599.19 8899.50 74
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP5-MVS94.25 224
HQP-NCC97.20 21198.05 21496.43 5494.45 188
ACMP_Plane97.20 21198.05 21496.43 5494.45 188
APD-MVScopyleft98.35 3798.00 4299.42 1199.51 2898.72 1098.80 10398.82 5994.52 13399.23 1199.25 3195.54 4099.80 6096.52 9099.77 2099.74 28
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
BP-MVS95.30 128
HQP4-MVS94.45 18898.96 18596.87 230
HQP3-MVS98.46 14394.18 211
HQP2-MVS86.75 217
LP91.12 28989.99 29194.53 29296.35 26088.70 30793.86 33997.35 26684.88 32490.98 28294.77 30784.40 26597.43 30275.41 33791.89 25097.47 194
CNVR-MVS98.78 398.56 699.45 1099.32 4898.87 898.47 16698.81 6297.72 498.76 3699.16 4597.05 499.78 7798.06 2599.66 4599.69 38
NCCC98.61 1598.35 2199.38 1299.28 6398.61 1398.45 16798.76 7697.82 398.45 5198.93 7696.65 999.83 4697.38 5899.41 7999.71 35
114514_t96.93 9596.27 10698.92 5599.50 3097.63 5798.85 8898.90 4284.80 32597.77 8199.11 4992.84 8499.66 10094.85 13899.77 2099.47 80
CP-MVS98.57 2298.36 1999.19 3099.66 1997.86 4999.34 1198.87 4995.96 7098.60 4499.13 4796.05 2599.94 397.77 4099.86 199.77 14
DSMNet-mixed92.52 26892.58 25992.33 31294.15 32182.65 33198.30 18694.26 34189.08 30292.65 25795.73 29685.01 25295.76 33086.24 30697.76 14398.59 154
tpm294.19 23493.76 22795.46 26197.23 20889.04 30397.31 27796.85 30287.08 31296.21 15796.79 26383.75 28198.74 20992.43 20696.23 18498.59 154
NP-MVS97.28 20594.51 21497.73 177
EG-PatchMatch MVS91.13 28890.12 28994.17 30194.73 31889.00 30498.13 20697.81 22789.22 30185.32 31696.46 27567.71 33898.42 24787.89 29893.82 22295.08 312
tpm cat193.36 25492.80 25495.07 27897.58 18587.97 31696.76 30297.86 22682.17 33393.53 23496.04 29086.13 22699.13 16189.24 27495.87 19898.10 175
SteuartSystems-ACMMP98.90 298.75 299.36 1499.22 7498.43 1999.10 5198.87 4997.38 1799.35 699.40 797.78 199.87 3897.77 4099.85 299.78 7
Skip Steuart: Steuart Systems R&D Blog.
tpmp4_e2393.91 24893.42 24795.38 26997.62 18188.59 31097.52 26197.34 26787.94 30894.17 21496.79 26382.91 28399.05 17390.62 24395.91 19798.50 157
CostFormer94.95 18994.73 17495.60 25697.28 20589.06 30297.53 26096.89 29989.66 29396.82 12396.72 26586.05 23598.95 18995.53 12296.13 18898.79 142
CR-MVSNet94.76 20094.15 20096.59 20597.00 22193.43 24394.96 32897.56 23792.46 21696.93 11496.24 28188.15 18497.88 29287.38 29996.65 16098.46 159
JIA-IIPM93.35 25592.49 26095.92 24496.48 25090.65 28495.01 32796.96 29185.93 31996.08 15987.33 34087.70 20198.78 20891.35 23195.58 20198.34 169
Patchmtry93.22 26092.35 26295.84 24896.77 23493.09 25294.66 33497.56 23787.37 31192.90 25296.24 28188.15 18497.90 28887.37 30090.10 26396.53 276
PatchT93.06 26491.97 26696.35 22896.69 24092.67 25594.48 33597.08 28086.62 31397.08 10592.23 33587.94 19197.90 28878.89 32996.69 15898.49 158
tpmrst95.63 14295.69 12795.44 26397.54 18888.54 31196.97 28897.56 23793.50 17997.52 9896.93 25289.49 13699.16 15795.25 13296.42 16898.64 152
BH-w/o95.38 16695.08 14996.26 23498.34 14091.79 26697.70 24997.43 26092.87 20794.24 20997.22 21488.66 17198.84 20191.55 22697.70 14598.16 174
tpm94.13 24093.80 22295.12 27696.50 24887.91 31797.44 26395.89 32092.62 21296.37 15596.30 28084.13 27498.30 26793.24 17891.66 25399.14 117
DELS-MVS98.40 3398.20 3698.99 4999.00 8997.66 5597.75 24698.89 4497.71 698.33 5698.97 6894.97 5599.88 3798.42 1699.76 2699.42 88
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-untuned95.95 12795.72 12296.65 19798.55 13492.26 25998.23 19197.79 22893.73 16594.62 18298.01 15488.97 15299.00 18193.04 18598.51 11498.68 148
RPMNet92.52 26891.17 27196.59 20597.00 22193.43 24394.96 32897.26 27582.27 33296.93 11492.12 33686.98 21497.88 29276.32 33496.65 16098.46 159
no-one74.41 32070.76 32285.35 32879.88 34876.83 33794.68 33394.22 34280.33 33663.81 34679.73 34735.45 35593.36 34071.78 33936.99 35285.86 345
MVSTER96.06 12495.72 12297.08 16898.23 14695.93 12598.73 12298.27 16994.86 12295.07 17198.09 14888.21 18298.54 22396.59 8693.46 22896.79 237
CPTT-MVS97.72 5897.32 6598.92 5599.64 2097.10 7699.12 4998.81 6292.34 22998.09 6199.08 5793.01 8399.92 1596.06 10299.77 2099.75 23
GBi-Net94.49 21993.80 22296.56 21098.21 14795.00 16798.82 9498.18 18692.46 21694.09 21797.07 22981.16 29097.95 28592.08 21092.14 24496.72 245
PVSNet_Blended_VisFu97.70 5997.46 6098.44 8299.27 6495.91 13498.63 14099.16 1794.48 13697.67 8998.88 8092.80 8599.91 2497.11 6399.12 9099.50 74
PVSNet_BlendedMVS96.73 10296.60 9597.12 16599.25 6795.35 15698.26 19099.26 894.28 13997.94 7497.46 19692.74 8699.81 5396.88 7593.32 23396.20 291
UnsupCasMVSNet_eth90.99 29189.92 29294.19 30094.08 32289.83 29197.13 28598.67 10593.69 17085.83 31396.19 28675.15 32296.74 31989.14 27579.41 33196.00 296
UnsupCasMVSNet_bld87.17 30885.12 31193.31 30791.94 32988.77 30594.92 33098.30 16684.30 32782.30 32990.04 33763.96 34397.25 30585.85 31074.47 34393.93 334
PVSNet_Blended97.38 7897.12 7298.14 9799.25 6795.35 15697.28 27899.26 893.13 19797.94 7498.21 14192.74 8699.81 5396.88 7599.40 8199.27 101
FMVSNet591.81 28290.92 27694.49 29397.21 21092.09 26198.00 22097.55 24189.31 30090.86 28495.61 30174.48 32695.32 33285.57 31189.70 26696.07 295
test194.49 21993.80 22296.56 21098.21 14795.00 16798.82 9498.18 18692.46 21694.09 21797.07 22981.16 29097.95 28592.08 21092.14 24496.72 245
new_pmnet90.06 29789.00 30093.22 30994.18 32088.32 31496.42 31396.89 29986.19 31585.67 31593.62 31477.18 31697.10 30781.61 32289.29 27494.23 328
FMVSNet394.97 18894.26 19397.11 16698.18 15296.62 9298.56 15198.26 17393.67 17494.09 21797.10 22584.25 27098.01 28292.08 21092.14 24496.70 249
dp94.15 23993.90 21794.90 28297.31 20486.82 32396.97 28897.19 27891.22 26496.02 16296.61 27185.51 24499.02 18090.00 26094.30 20698.85 138
FMVSNet294.47 22193.61 23597.04 16998.21 14796.43 10198.79 10898.27 16992.46 21693.50 23797.09 22781.16 29098.00 28391.09 23391.93 24896.70 249
FMVSNet193.19 26292.07 26596.56 21097.54 18895.00 16798.82 9498.18 18690.38 27492.27 26897.07 22973.68 32997.95 28589.36 27391.30 25596.72 245
N_pmnet87.12 30987.77 30685.17 32995.46 30661.92 35297.37 27070.66 35985.83 32088.73 30196.04 29085.33 24997.76 29580.02 32490.48 26095.84 299
cascas94.63 21293.86 21996.93 17796.91 22894.27 22396.00 31898.51 13385.55 32194.54 18496.23 28384.20 27398.87 19895.80 11296.98 15597.66 192
BH-RMVSNet95.92 12995.32 13997.69 12798.32 14294.64 20598.19 19897.45 25894.56 13196.03 16198.61 10385.02 25199.12 16290.68 24199.06 9199.30 97
UGNet96.78 10196.30 10598.19 9698.24 14595.89 13698.88 8098.93 3697.39 1696.81 12497.84 16882.60 28599.90 2796.53 8999.49 7098.79 142
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-MVS97.37 7996.92 8198.72 6398.86 11096.89 8598.31 18498.71 9295.26 10397.67 8998.56 10992.21 9599.78 7795.89 10796.85 15699.48 79
XXY-MVS95.20 17994.45 18797.46 14896.75 23796.56 9698.86 8798.65 11293.30 19393.27 24198.27 13784.85 25598.87 19894.82 13991.26 25796.96 216
sss97.39 7796.98 7998.61 6998.60 13196.61 9498.22 19298.93 3693.97 15198.01 6998.48 11591.98 10299.85 4396.45 9298.15 12999.39 89
Test_1112_low_res96.34 11695.66 12998.36 8798.56 13295.94 12297.71 24898.07 21492.10 23594.79 18097.29 20991.75 10599.56 11994.17 15696.50 16699.58 66
1112_ss96.63 10496.00 11598.50 7798.56 13296.37 10398.18 20298.10 20992.92 20494.84 17698.43 11892.14 9799.58 11694.35 15196.51 16599.56 68
ab-mvs-re8.20 33510.94 3360.00 3470.00 3610.00 3620.00 3530.00 3630.00 3570.00 35898.43 1180.00 3650.00 3600.00 3570.00 3580.00 358
ab-mvs96.42 11395.71 12598.55 7398.63 12896.75 8997.88 23598.74 8093.84 15796.54 13898.18 14385.34 24899.75 8695.93 10696.35 17399.15 115
TR-MVS94.94 19194.20 19797.17 16297.75 17594.14 22697.59 25797.02 28592.28 23395.75 16597.64 18783.88 27898.96 18589.77 26296.15 18798.40 162
MDTV_nov1_ep13_2view84.26 32696.89 29690.97 26797.90 7789.89 13593.91 16299.18 113
MDTV_nov1_ep1395.40 13197.48 19188.34 31396.85 29997.29 27293.74 16497.48 9997.26 21089.18 14499.05 17391.92 21897.43 149
MIMVSNet189.67 30088.28 30593.82 30292.81 32891.08 27798.01 21897.45 25887.95 30787.90 30495.87 29467.63 33994.56 33578.73 33088.18 29195.83 300
MIMVSNet93.26 25992.21 26496.41 22497.73 17793.13 25195.65 32397.03 28491.27 26294.04 22096.06 28975.33 32197.19 30686.56 30496.23 18498.92 136
IterMVS-LS95.46 15895.21 14496.22 23598.12 15593.72 23898.32 18398.13 19793.71 16794.26 20797.31 20892.24 9398.10 27694.63 14290.12 26296.84 233
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
CDS-MVSNet96.99 9396.69 9197.90 11298.05 16095.98 11498.20 19498.33 16293.67 17496.95 11198.49 11493.54 7798.42 24795.24 13397.74 14499.31 94
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
ACMMP++_ref92.97 238
IterMVS94.09 24193.85 22094.80 28797.99 16390.35 28897.18 28398.12 19993.68 17292.46 26597.34 20584.05 27597.41 30392.51 20491.33 25496.62 264
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
DP-MVS Recon97.86 5397.46 6099.06 4799.53 2798.35 2598.33 17998.89 4492.62 21298.05 6398.94 7595.34 4599.65 10196.04 10399.42 7899.19 109
MVS_111021_LR98.34 3898.23 3498.67 6699.27 6496.90 8397.95 22499.58 397.14 3398.44 5299.01 6595.03 5499.62 10897.91 3099.75 3299.50 74
DP-MVS96.59 10795.93 11698.57 7199.34 4296.19 11098.70 12898.39 15589.45 29794.52 18599.35 1991.85 10499.85 4392.89 19498.88 9799.68 44
ACMMP++93.61 226
HQP-MVS95.72 13695.40 13196.69 18997.20 21194.25 22498.05 21498.46 14396.43 5494.45 18897.73 17786.75 21798.96 18595.30 12894.18 21196.86 232
QAPM96.29 11895.40 13198.96 5397.85 17197.60 5999.23 2298.93 3689.76 28993.11 24899.02 6189.11 14699.93 991.99 21599.62 5099.34 91
Vis-MVSNetpermissive97.42 7597.11 7398.34 8898.66 12596.23 10999.22 2899.00 2696.63 5198.04 6599.21 3588.05 18999.35 14096.01 10599.21 8799.45 86
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
MVS-HIRNet89.46 30188.40 30392.64 31097.58 18582.15 33294.16 33893.05 34775.73 34190.90 28382.52 34379.42 30498.33 26283.53 31898.68 10597.43 195
IS-MVSNet97.22 8496.88 8298.25 9298.85 11296.36 10499.19 3497.97 22195.39 9097.23 10198.99 6791.11 11898.93 19094.60 14498.59 11199.47 80
HyFIR lowres test96.90 9796.49 10098.14 9799.33 4595.56 14797.38 26899.65 292.34 22997.61 9398.20 14289.29 14199.10 16996.97 6697.60 14799.77 14
EPMVS94.99 18594.48 18396.52 21597.22 20991.75 26897.23 28091.66 34894.11 14297.28 10096.81 26285.70 24198.84 20193.04 18597.28 15098.97 131
PAPM_NR97.46 6997.11 7398.50 7799.50 3096.41 10298.63 14098.60 11595.18 10797.06 10898.06 15094.26 7199.57 11793.80 16698.87 9999.52 69
TAMVS97.02 9296.79 8697.70 12698.06 15995.31 15898.52 15898.31 16393.95 15297.05 10998.61 10393.49 7898.52 23095.33 12797.81 14099.29 99
PAPR96.84 9996.24 10898.65 6798.72 12096.92 8297.36 27298.57 12293.33 19096.67 12897.57 19294.30 7099.56 11991.05 23798.59 11199.47 80
RPSCF94.87 19395.40 13193.26 30898.89 10782.06 33398.33 17998.06 21690.30 27596.56 13499.26 3087.09 21199.49 12993.82 16596.32 17598.24 172
Vis-MVSNet (Re-imp)96.87 9896.55 9797.83 11598.73 11895.46 15199.20 3298.30 16694.96 11896.60 13398.87 8190.05 13498.59 21993.67 16998.60 11099.46 84
test_040291.32 28690.27 28894.48 29496.60 24391.12 27698.50 16397.22 27786.10 31788.30 30296.98 24377.65 31397.99 28478.13 33192.94 23994.34 327
MVS_111021_HR98.47 3098.34 2298.88 5899.22 7497.32 6797.91 22999.58 397.20 2998.33 5699.00 6695.99 2799.64 10398.05 2799.76 2699.69 38
CSCG97.85 5497.74 4898.20 9499.67 1895.16 16199.22 2899.32 793.04 19997.02 11098.92 7895.36 4499.91 2497.43 5599.64 4899.52 69
PatchMatch-RL96.59 10796.03 11498.27 9099.31 5096.51 9897.91 22999.06 2193.72 16696.92 11698.06 15088.50 17899.65 10191.77 22299.00 9398.66 150
API-MVS97.41 7697.25 6797.91 11198.70 12196.80 8698.82 9498.69 9594.53 13298.11 6098.28 13494.50 6699.57 11794.12 15899.49 7097.37 200
Test By Simon94.64 60
TDRefinement91.06 29089.68 29395.21 27385.35 34391.49 27198.51 16297.07 28191.47 24888.83 30097.84 16877.31 31599.09 17092.79 19577.98 33795.04 313
USDC93.33 25792.71 25695.21 27396.83 23390.83 27996.91 29297.50 24993.84 15790.72 28598.14 14577.69 31198.82 20489.51 27093.21 23795.97 297
EPP-MVSNet97.46 6997.28 6697.99 10898.64 12795.38 15399.33 1398.31 16393.61 17697.19 10299.07 5894.05 7399.23 14796.89 7298.43 12099.37 90
PMMVS96.60 10596.33 10497.41 15197.90 16893.93 23097.35 27398.41 15192.84 20897.76 8297.45 19891.10 11999.20 15596.26 9897.91 13599.11 119
PAPM94.95 18994.00 21097.78 11997.04 22095.65 14396.03 31798.25 17491.23 26394.19 21297.80 17491.27 11698.86 20082.61 32097.61 14698.84 140
ACMMPcopyleft98.23 4397.95 4399.09 4499.74 797.62 5899.03 6099.41 695.98 6997.60 9499.36 1794.45 6799.93 997.14 6298.85 10099.70 37
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
CNLPA97.45 7297.03 7798.73 6299.05 8497.44 6598.07 21398.53 12995.32 10196.80 12598.53 11093.32 8099.72 8994.31 15399.31 8599.02 126
PatchmatchNetpermissive95.71 13895.52 13096.29 23397.58 18590.72 28296.84 30097.52 24394.06 14597.08 10596.96 24589.24 14398.90 19592.03 21498.37 12199.26 102
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
PHI-MVS98.34 3898.06 3999.18 3499.15 8198.12 4099.04 5999.09 1993.32 19198.83 3299.10 5196.54 1199.83 4697.70 4499.76 2699.59 64
F-COLMAP97.09 9196.80 8497.97 10999.45 3694.95 17398.55 15398.62 11493.02 20096.17 15898.58 10894.01 7499.81 5393.95 16198.90 9699.14 117
ANet_high69.08 32265.37 32480.22 33365.99 35671.96 34790.91 34490.09 35082.62 32949.93 35278.39 34829.36 35781.75 35262.49 34938.52 35186.95 344
PNet_i23d67.70 32465.07 32575.60 33678.61 35059.61 35589.14 34588.24 35361.83 34652.37 35080.89 34518.91 35884.91 35162.70 34852.93 34782.28 347
wuyk23d30.17 33130.18 33330.16 34478.61 35043.29 35966.79 35214.21 36017.31 35414.82 35711.93 35811.55 36141.43 35737.08 35419.30 3545.76 357
OMC-MVS97.55 6897.34 6498.20 9499.33 4595.92 13298.28 18898.59 11695.52 8597.97 7299.10 5193.28 8199.49 12995.09 13598.88 9799.19 109
MG-MVS97.81 5597.60 5198.44 8299.12 8395.97 11897.75 24698.78 7296.89 4298.46 4899.22 3493.90 7699.68 9894.81 14099.52 6999.67 49
wuykxyi23d63.73 32858.86 33078.35 33567.62 35567.90 35086.56 34787.81 35458.26 34842.49 35470.28 35211.55 36185.05 35063.66 34741.50 34882.11 348
AdaColmapbinary97.15 8896.70 9098.48 7999.16 7996.69 9198.01 21898.89 4494.44 13896.83 12198.68 9790.69 12599.76 8494.36 15099.29 8698.98 130
uanet0.00 3370.00 3380.00 3470.00 3610.00 3620.00 3530.00 3630.00 3570.00 3580.00 3590.00 3650.00 3600.00 3570.00 3580.00 358
ITE_SJBPF95.44 26397.42 19791.32 27397.50 24995.09 11393.59 23198.35 12681.70 28998.88 19789.71 26593.39 23296.12 293
DeepMVS_CXcopyleft86.78 32597.09 21972.30 34595.17 33475.92 34084.34 32795.19 30270.58 33495.35 33179.98 32689.04 27792.68 337
TinyColmap92.31 27091.53 26994.65 29096.92 22689.75 29296.92 29096.68 30690.45 27289.62 29397.85 16776.06 31998.81 20586.74 30392.51 24295.41 308
MAR-MVS96.91 9696.40 10298.45 8198.69 12396.90 8398.66 13898.68 9892.40 22797.07 10797.96 15791.54 11299.75 8693.68 16898.92 9598.69 147
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
LF4IMVS93.14 26392.79 25594.20 29995.88 29288.67 30897.66 25397.07 28193.81 15991.71 27697.65 18577.96 31098.81 20591.47 23091.92 24995.12 310
MSDG95.93 12895.30 14197.83 11598.90 9995.36 15496.83 30198.37 15891.32 25894.43 19598.73 9490.27 13199.60 10990.05 25898.82 10298.52 156
LS3D97.16 8796.66 9498.68 6598.53 13597.19 7498.93 7298.90 4292.83 20995.99 16399.37 1392.12 9899.87 3893.67 16999.57 5898.97 131
CLD-MVS95.62 14395.34 13696.46 22297.52 19093.75 23797.27 27998.46 14395.53 8494.42 19698.00 15586.21 22598.97 18296.25 9994.37 20596.66 258
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
FPMVS77.62 31977.14 31779.05 33479.25 34960.97 35395.79 32195.94 31865.96 34467.93 34594.40 31037.73 35388.88 34968.83 34288.46 28887.29 342
Gipumacopyleft78.40 31776.75 31883.38 33195.54 30380.43 33479.42 35197.40 26364.67 34573.46 34080.82 34645.65 35093.14 34166.32 34587.43 29976.56 351
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015