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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorcourty.delive.electrofacadekickermeadowofficepipesplaygr.reliefrelief.terraceterrai.
sorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
ACMH+702.88 1670.82 141589.81 141765.33 142662.52 139701.42 136795.24 1401698.33 152598.81 147226.55 135403.02 132187.13 130786.82 145724.80 148646.56 141422.52 136866.95 145
PMVScopyleft743.55 2836.66 146637.90 1431068.55 1551306.50 164875.12 1491166.70 1622629.00 159512.24 136196.22 130282.69 125237.15 137597.87 132842.47 150765.54 149514.99 146950.09 147
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
IB-MVS750.90 3552.99 127511.38 131601.53 126606.02 135735.75 139688.75 1371183.86 139436.09 129210.63 134397.40 130233.85 136551.05 130521.77 130533.78 130368.88 129721.05 135
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
ACMH935.68 4948.23 149857.00 1491054.67 154946.00 151970.00 1531125.00 1602467.00 157823.00 153330.00 148622.00 153211.00 135891.00 152970.00 1531061.00 160569.00 1491342.00 159
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
ACMM1129.18 51047.56 156912.90 1501204.67 1561040.21 1591016.71 1601105.32 1582918.67 162813.91 151327.22 147665.34 154267.72 1471192.58 1611091.35 161991.88 153643.99 1551543.40 166
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
ACMP1170.86 61091.37 158943.23 1521264.21 1581112.10 1611138.94 1621276.90 1642675.36 161989.62 156426.15 159742.77 157349.09 1601454.51 1661047.36 160969.90 152640.22 1541364.94 161
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
OpenMVScopyleft2049.89 71895.92 1631721.29 1642099.67 1642064.00 1692419.00 1732138.00 1714572.00 1731541.00 170548.00 162937.00 162580.00 1671983.00 1681971.00 1721993.00 1701293.00 1742608.00 170
DeepC-MVS_fast2081.98 81311.87 1611172.50 1631474.47 1611411.78 1651397.23 1671519.03 1673401.40 1681201.29 164417.90 157801.95 159976.25 1891409.37 1641114.52 1621201.12 164687.33 1571515.14 165
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
3Dnovator2220.89 92303.77 1712037.00 1732615.00 1732617.00 1792967.00 1802616.00 1745882.00 1831928.00 176589.00 164907.00 161528.00 1662443.00 1792370.00 1802392.00 1811543.00 1843167.00 177
CMPMVSbinary2507.20 102083.60 1651983.13 1692200.81 1662582.70 1783097.30 1812332.10 1724364.50 1711390.00 166653.68 167997.75 164742.65 1771880.20 1672298.80 1782413.60 1821391.70 1782941.80 175
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
DeepPCF-MVS3033.31 112362.79 1732183.15 1752572.38 1712349.28 1752383.16 1722740.92 1795212.97 1762043.02 177751.44 1701466.47 1781327.42 2022904.33 1822573.45 1852227.77 1751475.33 1793260.73 179
3Dnovator+3173.67 122938.77 1822519.43 1783428.00 1833256.00 1873708.00 1903443.00 1887516.00 1902525.00 1841121.00 194972.00 163925.00 1863192.00 1862899.00 1882897.00 1922040.00 1953710.00 188
PCF-MVS3738.24 132129.60 1661746.89 1652576.10 1722258.22 1742263.67 1712650.06 1786361.78 1851676.15 172695.66 1681209.77 172737.88 1742237.28 1692083.02 1741835.31 1661253.58 1732422.45 168
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
COLMAP_ROBcopyleft3798.28 142690.62 1802704.29 1872674.67 1743138.00 1833522.00 1893826.00 1953219.00 1662702.00 1881138.00 1972260.00 1961212.00 2012968.00 1852936.00 1922571.00 1851759.00 1933727.00 189
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
PLCcopyleft4785.50 153275.54 1893030.86 1913561.00 1864093.00 1964596.00 1955174.00 2044267.00 1703570.00 1961495.00 2032940.00 1991594.00 2043947.00 1933817.00 1973343.00 1962390.00 1971356.00 160
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
TAPA-MVS5463.68 162764.21 1812434.28 1773149.14 1823645.15 1923257.60 1853452.71 1896526.32 1862591.85 186651.36 1661964.77 194947.44 1872924.41 1832523.36 1832452.68 1831694.86 1903302.28 180
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
DeepC-MVS5581.15 174824.92 1955020.53 1964596.70 1944714.52 1993205.14 1833108.50 18210234.20 2013823.34 1981885.23 2069002.42 2032045.34 2104715.23 1997652.65 2013993.41 1972922.51 2005421.41 197
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
MVEpermissive11086.50 1813278.69 20212303.57 20314416.33 2039890.00 20617107.00 2104634.00 20059884.00 2093666.00 197966.00 1781792.00 188896.00 1855680.00 20020677.00 20823030.00 2075444.00 20718957.00 205
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
LTVRE_ROB38377.89 1949656.08 20518936.71 20585495.33 206306852.00 21322526.00 21229206.00 213112098.00 21130022.00 20717348.00 2152824.00 19811239.00 21429457.00 20820569.00 20719941.00 20618011.00 21125436.00 207
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
MVS_clip40.52 9639.14 9642.13 9648.43 9847.91 9735.00 9647.89 9638.88 9744.17 10432.84 9631.96 10032.98 9641.78 9844.77 9844.33 9935.81 97
MVS_baseline41.14 9743.44 9838.45 9436.14 9548.90 9833.61 9532.04 9442.34 9949.55 10644.89 9946.41 10531.43 9549.63 9933.95 9447.95 10037.95 98
VLMVS_CLIP40.04 9538.53 9541.81 9543.24 9737.14 9549.61 9848.89 9835.08 9543.13 10235.73 9842.64 10434.76 9930.35 9539.03 9631.23 9849.74 101
PatchmatchNet2copyleft400.00 122400.00 128400.00 127
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
PatchmatchNet1copyleft400.00 161400.00 122400.00 122400.00 121400.00 133400.00 121
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
PatchmatchNet3copyleft400.00 155400.00 131
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
VLMVS41.88 9840.52 9743.48 9731.38 9437.72 9638.61 9748.42 9741.61 9849.31 10534.00 9748.23 10643.70 10137.45 9743.31 9749.45 10141.31 99
onestephybrid010.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmambapermissive0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
hybridnocas070.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
Casviewmambapermissive0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
dtuonlycased0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
dtuonly0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
dtuplus0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
hybridcas0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
hybrid0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
casdiffseed4146921470.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
gbinet_0.2-2-1-0.020.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
0.3-1-1-0.0150.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
0.4-1-1-0.10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
0.4-1-1-0.20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
wanda-best-256-5120.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
usedtu_dtu_shiyan20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
usedtu_dtu_shiyan10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
blended_shiyan80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E5new0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-blended-shiyan70.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E6new0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
blended_shiyan60.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
usedtu_blend_shiyan50.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
blend_shiyan40.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E60.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E50.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-MVSNET30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E40.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E3new0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-MVSNET20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MED-MVS9884.09 20010032.06 2029711.47 20111138.80 20911138.80 20911138.80 21111138.80 20221344.80 2053151.39 20915014.00 2061880.82 20710959.00 2058493.00 2026381.00 20010742.00 2095972.00 199
E30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
TestfortrainingZip3151.39 1833151.39 1633151.39 2093151.39 201
viewdifsd2359ckpt070.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt090.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt130.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewcassd2359sk110.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt110.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmacassd2359aftdt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmsd2359difaftdt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
diffmvs_AUTHOR0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-MVSNET0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmambaseed2359dif0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmanbaseed2359cas0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
aaEdge-Enhanced7215.11 1989333.66 2004743.47 1954896.26 2026250.00 2003151.39 1833151.39 16321344.80 2053151.39 20915014.00 2061880.82 20710959.00 2058493.00 2026381.00 2003151.39 2015972.00 199
MVSMamba_PlusPlus10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
MGCFI-Net10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
sasdasda10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
WB-MVS316.93 118277.98 118362.37 119386.49 121371.32 127360.90 126844.52 128232.58 120102.36 122215.57 120104.13 122287.33 120336.96 120318.49 119192.62 122366.78 120
dmvs_re10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
TPM-MVS10000000.00 21410000000.00 21510000000.00 21610000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21410000000.00 210
Ray Leroy Khuboni and Hongjun Xu: Textureless Resilient Propagation Matching in Multiple View Stereosis (TPM-MVS). SATNAC 2025
FA-MVS(training)203.85 116180.15 116231.50 116222.82 118259.22 121245.99 120478.61 119172.32 11982.03 121130.35 11772.14 120221.74 118190.35 117197.39 117137.78 120239.26 117
test250610000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
test111110000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
ECVR-MVScopyleft10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
DVP-MVS++3961.71 1923092.38 1924975.92 1964850.81 2015691.32 1995760.96 20512294.80 2032980.85 1941135.72 1961840.86 191949.63 1884197.95 1953019.10 1952873.21 1911615.27 1874291.72 194
GeoE20.05 9318.83 9321.47 9325.60 9329.60 9422.50 9331.20 9319.10 948.30 9213.50 949.40 9317.80 9314.10 9317.50 9323.40 9428.60 94
test_method18.19 9215.64 9221.17 9219.00 9222.00 9322.50 9338.00 9515.50 937.50 9113.00 937.00 9219.00 9415.50 9415.50 9221.00 9321.00 93
pmnet_mix02659.48 140547.83 133789.74 143720.05 141846.87 148740.59 1382153.63 156456.15 134191.24 129336.49 128200.39 133511.90 128608.74 137634.29 140421.05 135751.91 136
RE-MVS-def610.10 165
SED-MVS3539.47 1902909.05 1904274.95 1934528.93 1984986.51 1975003.31 2038985.31 1972904.53 1931294.24 2011839.12 1901003.69 1964135.17 1942926.32 1912897.04 1931702.75 1913806.13 191
SF-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
9.140.00 1
uanet_test1000.00 1521000.00 1561000.00 1501000.00 1551000.00 1561000.00 1541000.00 1331000.00 1591000.00 1831000.00 1671000.00 1921000.00 1561000.00 1561000.00 1561000.00 1641000.00 153
ET-MVSNet_ETH3D10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
UniMVSNet_ETH3D10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
EIA-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
ETV-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
CS-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
DVP-MVScopyleft3258.34 1882529.80 1794108.31 1914005.62 1954693.14 1964737.88 20110195.40 2002408.38 182941.44 1771505.82 179734.32 1733438.27 1912449.15 1812386.04 1801331.25 1763531.75 186
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
SR-MVS610.10 136610.10 121610.10 168
DPM-MVS3051.54 1832661.57 1843506.50 1843532.00 1903332.00 1873744.00 1937839.00 1932772.00 189985.00 1791919.00 192738.00 1753319.00 1872901.00 1892715.00 1871620.00 1884254.00 192
thisisatest053010000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
Anonymous20240521110000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
DCV-MVSNet10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
tttt051710000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
our_test_39999.00 20799.00 10699.00 105
thisisatest051510000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
SMA-MVScopyleft0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
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
DPE-MVScopyleft10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
tfpnnormal10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
tfpn200view910000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
CHOSEN 280x4202225.10 1671992.66 1702496.28 1672192.10 1712641.81 1752621.41 1755345.34 1772116.46 1781002.26 1871683.84 182837.43 1782338.65 1711920.94 1692020.28 1711477.92 1802727.86 171
CANet100.44 10293.07 102109.04 102111.90 104131.06 108119.40 106222.42 11080.48 10336.93 9870.80 10340.92 10189.90 103100.59 110101.42 10373.68 106126.25 103
Fast-Effi-MVS+-dtu0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
Effi-MVS+-dtu0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
CANet_DTU100.44 10293.07 102109.04 102111.90 104131.06 108119.40 106222.42 11080.48 10336.93 9870.80 10340.92 10189.90 103100.59 110101.42 10373.68 106126.25 103
MGCNet0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MSP-MVS3241.28 1872825.26 1893726.65 1893945.31 1944305.03 1934267.51 1996962.25 1882896.37 1921068.15 1921824.25 1891061.55 1994307.30 1963013.40 1943171.41 1941809.38 1943504.79 185
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
IterMVS-SCA-FT10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
TSAR-MVS + MP.4216.58 1934674.68 1953682.13 1883752.63 1934315.48 1944264.77 1987782.51 1922583.81 1851125.68 19516722.30 208882.60 1833589.10 1922523.80 1842486.45 1841578.08 1863208.34 178
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
OPM-MVS3051.54 1832661.57 1843506.50 1843532.00 1903332.00 1873744.00 1937839.00 1932772.00 189985.00 1791919.00 192738.00 1753319.00 1872901.00 1892715.00 1871620.00 1884254.00 192
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
ACMMP_NAP119.64 112106.58 105134.88 112123.82 107127.44 107145.38 109298.43 117116.16 11643.72 10377.82 10629.30 98131.24 113117.82 116106.21 10666.69 105171.29 116
ambc999.00 154999.00 153999.00 154999.00 152999.00 157999.00 181999.00 165999.00 190999.00 154999.00 154999.00 154999.00 162999.00 151
SPE-MVS-test0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
Effi-MVS+0.53 700.53 700.53 700.53 700.53 700.53 700.53 700.53 700.53 700.53 700.53 710.53 700.53 700.53 700.53 700.53 70
new-patchmatchnet712.65 142632.59 142806.05 146787.79 149936.25 152882.47 1491795.72 153528.60 138244.29 136471.90 141257.36 139681.47 136705.16 147659.05 146444.55 137869.82 146
pmmvs610000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
pmmvs510000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
Fast-Effi-MVS+0.41 690.41 690.41 690.41 690.41 690.41 690.41 690.41 690.41 690.41 690.41 700.41 690.41 690.41 690.41 690.41 69
Anonymous2023121110000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
pmmvs-eth3d10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
GG-mvs-BLEND557.53 129503.49 127620.58 129485.90 127370.41 123267.30 122710.53 123454.42 130785.72 171491.23 144326.12 152881.92 148538.27 133650.05 142592.08 150693.94 130
Anonymous2023120610000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
MTAPA41.98 10128.43 97
MTMP10000000.00 21731.71 99
gm-plane-assit551.84 126503.49 127608.24 128411.90 123370.41 123267.30 122710.53 123454.42 130785.72 171491.23 144326.12 152881.92 148538.27 133650.05 142592.08 150693.94 130
train_agg0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
gg-mvs-nofinetune557.53 129503.49 127620.58 129485.90 127370.41 123267.30 122710.53 123454.42 130785.72 171491.23 144326.12 152881.92 148538.27 133650.05 142592.08 150693.94 130
SCA10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
MS-PatchMatch438.85 121388.71 121497.33 122479.00 126527.00 131558.00 132988.00 130379.00 125174.00 128278.00 124162.00 128494.00 127418.00 123412.00 122291.00 124545.00 126
Patchmatch-RL test10000000.00 216
tmp_tt299.50 118365.00 12054.00 103649.00 135241.00 113159.00 117204.00 132479.00 142308.00 150243.00 119246.00 11982.00 10295.00 119
canonicalmvs10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
anonymousdsp10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
v1441920.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 580.40 570.40 570.40 570.40 570.40 57
v19219200.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 580.40 570.40 570.40 570.40 570.40 57
FC-MVSNet-train10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
UA-Net10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
v11920.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 580.40 570.40 570.40 570.40 570.40 57
FC-MVSNet-test10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
v11440.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 580.40 570.40 570.40 570.40 570.40 57
sosnet-low-res10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
HFP-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
v1480.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 580.40 570.40 570.40 570.40 570.40 57
sosnet1000.00 1521000.00 1561000.00 1501000.00 1551000.00 1561000.00 1541000.00 1331000.00 1591000.00 1831000.00 1671000.00 1921000.00 1561000.00 1561000.00 1561000.00 1641000.00 153
v7n0.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 580.40 570.40 570.40 570.40 570.40 57
DI_MVS_pp10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
HPM-MVS++copyleft10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
XVS52.20 9952.20 10052.20 10052.20 10752.20 11752.20 102
v12400.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 580.40 570.40 570.40 570.40 570.40 57
pm-mvs110000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
X-MVStestdata52.20 9952.20 10052.20 10052.20 10752.20 11752.20 102
X-MVS52.20 9952.20 9952.20 9952.20 9952.20 10052.20 10052.20 9952.20 10052.20 10752.20 10052.20 11752.20 10252.20 10052.20 9952.20 10252.20 102
v80.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 580.40 570.40 570.40 570.40 570.40 57
v100.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 580.40 570.40 570.40 570.40 570.40 57
v2v4820.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 580.40 570.40 570.40 570.40 570.40 57
V420.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 580.40 570.40 570.40 570.40 570.40 57
SD-MVS2324.36 1721910.97 1672806.65 1792945.31 1823305.03 1863267.51 1855962.25 1841896.37 175848.15 1761224.25 173661.55 1712707.30 1811913.40 1681871.41 1671109.38 1692504.79 169
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-MVS0.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 570.40 580.40 570.40 570.40 570.40 570.40 57
MSLP-MVS++993.91 150732.21 1461299.24 1591631.22 1671345.26 1651480.05 1662524.20 158735.65 149463.57 161499.89 148302.78 1491292.66 162675.99 145612.79 132403.71 134953.11 149
APDe-MVScopyleft10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
TSAR-MVS + COLMAP6088.23 1965315.97 1976989.21 1986522.51 2038025.15 2057938.31 20715276.20 2045401.97 2011914.31 2073802.65 2011979.48 2096704.11 2015217.07 1995137.16 1993579.82 2047648.29 201
CVMVSNet1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
TSAR-MVS + ACMM3184.92 1852679.45 1863774.64 1903302.51 1884168.07 1924256.74 1978947.31 1962634.53 1871026.25 1911723.72 1871043.87 1983387.29 1892794.29 1862687.41 1861727.73 1923704.25 187
pmmvs410000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
EU-MVSNet1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
test-LLR10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
TESTMET0.1,110000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
test-mter10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
ACMMPR1265.65 1601083.59 1611478.06 1621441.06 1661438.61 1681540.68 1683284.05 1671219.68 165458.81 160803.22 160346.91 1591421.66 1651126.11 1631150.51 162722.08 1591500.09 164
testgi10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
test20.0310000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
thres600view710000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
ADS-MVSNet452.36 122406.02 122506.42 125534.76 132628.22 134552.79 1311009.99 137333.98 121149.26 124246.67 121149.01 126447.03 125465.35 127501.18 127344.69 128517.75 124
MP-MVScopyleft10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
thres40010000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
test12310000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
thres20010000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
test0.0.03 110000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
pmmvs310000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
EMVS10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
E-PMN10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
PGM-MVS10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
MCST-MVS10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
MVS_Test654.54 133583.51 134737.40 135721.80 142822.10 141808.60 1411494.00 144542.20 139259.90 137441.60 133257.70 140689.10 137620.80 138617.70 133451.00 138782.50 137
MDA-MVSNet-bldmvs1.20 731.20 731.20 731.20 731.20 741.20 741.20 741.20 741.20 741.20 741.20 751.20 741.20 741.20 731.20 741.20 74
CDPH-MVS6.66 896.66 896.66 896.66 896.66 906.66 906.66 906.66 906.66 906.66 906.66 916.66 906.66 906.66 896.66 906.66 90
casdiffmvspermissive654.54 133583.51 134737.40 135721.80 142822.10 141808.60 1411494.00 144542.20 139259.90 137441.60 133257.70 140689.10 137620.80 138617.70 133451.00 138782.50 137
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
diffmvspermissive654.54 133583.51 134737.40 135721.80 142822.10 141808.60 1411494.00 144542.20 139259.90 137441.60 133257.70 140689.10 137620.80 138617.70 133451.00 138782.50 137
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
baseline2654.54 133583.51 134737.40 135721.80 142822.10 141808.60 1411494.00 144542.20 139259.90 137441.60 133257.70 140689.10 137620.80 138617.70 133451.00 138782.50 137
baseline1654.54 133583.51 134737.40 135721.80 142822.10 141808.60 1411494.00 144542.20 139259.90 137441.60 133257.70 140689.10 137620.80 138617.70 133451.00 138782.50 137
PMMVS210000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
PM-MVS10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
PS-CasMVS1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
UniMVSNet_NR-MVSNet1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
PEN-MVS1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
TransMVSNet (Re)1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
DTE-MVSNet1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
DU-MVS1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
UniMVSNet (Re)1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
CP-MVSNet1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
WR-MVS_H1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
WR-MVS1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
NR-MVSNet1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
Baseline_NR-MVSNet1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
TranMVSNet+NR-MVSNet1.42 741.42 741.42 741.42 741.42 751.42 751.42 751.42 751.42 751.42 751.42 761.42 751.42 751.42 741.42 751.42 75
TSAR-MVS + GP.1239.27 1591094.74 1621407.89 1601220.99 1631845.47 1701680.98 1693191.81 1651098.41 163362.98 149679.12 155339.31 1571323.06 1631173.24 1641093.83 161667.49 1561433.78 162
mPP-MVS10000000.00 21410000000.00 217
SixPastTwentyTwo210.90 117189.75 117235.58 117225.41 119284.88 122267.17 121485.88 120164.28 11876.51 120137.62 11876.69 121214.49 117206.28 118208.00 118144.02 121250.52 118
casdiffmvs_mvgpermissive654.54 133583.51 134737.40 135721.80 142822.10 141808.60 1411494.00 144542.20 139259.90 137441.60 133257.70 140689.10 137620.80 138617.70 133451.00 138782.50 137
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
LGP-MVS_train10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
baseline654.54 133583.51 134737.40 135721.80 142822.10 141808.60 1411494.00 144542.20 139259.90 137441.60 133257.70 140689.10 137620.80 138617.70 133451.00 138782.50 137
EPNet_dtu10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CHOSEN 1792x26882225.10 1671992.66 1702496.28 1672192.10 1712641.81 1752621.41 1755345.34 1772116.46 1781002.26 1871683.84 182837.43 1782338.65 1711920.94 1692020.28 1711477.92 1802727.86 171
EPNet10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
APD-MVScopyleft1000000000.00 2751000000000.00 2771000000000.00 2761000000000.00 2851000000000.00 2851000000000.00 2871000000000.00 2811000000000.00 2801000000000.00 2871000000000.00 2811000000000.00 2881000000000.00 2811000000000.00 2801000000000.00 2791000000000.00 2841000000000.00 280
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
CNVR-MVS10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
NCCC10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
CP-MVS10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
NP-MVS10000000.00 210
EG-PatchMatch MVS402.98 120364.36 120448.05 121435.50 125473.00 130489.60 129910.20 129338.60 123127.30 123205.10 119123.50 125434.60 123450.70 126447.70 124291.10 125511.90 123
tpm cat12652.13 1762606.66 1812705.18 1753151.86 1846902.39 2023612.17 1905463.78 1801457.76 167391.31 1511358.61 174446.44 1632360.09 1742296.48 1752290.90 1771251.84 1703494.04 182
SteuartSystems-ACMMP2615.00 1752242.57 1763049.50 1812828.00 1812801.00 1793323.00 1876648.00 1872491.00 1831023.00 1901605.00 180697.00 1722926.00 1842502.00 1822279.00 1761549.00 1853323.00 181
Skip Steuart: Steuart Systems R&D Blog.
CostFormer2652.13 1762606.66 1812705.18 1753151.86 1846902.39 2023612.17 1905463.78 1801457.76 167391.31 1511358.61 174446.44 1632360.09 1742296.48 1752290.90 1771251.84 1703494.04 182
CR-MVSNet557.53 129503.49 127620.58 129485.90 127370.41 123267.30 122710.53 123454.42 130785.72 171491.23 144326.12 152881.92 148538.27 133650.05 142592.08 150693.94 130
Patchmtry1825.90 169885.90 1501405.90 1431285.90 199
PatchT878.42 148785.05 148987.36 1481050.05 160922.05 1511111.05 159677.05 122950.05 1551285.90 199750.05 158640.05 170850.05 146950.05 151950.05 151950.05 161333.05 119
tpmrst2688.71 1792604.46 1802787.00 1782472.96 1763190.36 1823313.69 1865003.06 1751837.26 1741097.38 1931721.89 1861012.20 1972415.09 1782970.27 1932736.80 1892419.79 1984762.44 195
tpm2652.13 1762606.66 1812705.18 1753151.86 1846902.39 2023612.17 1905463.78 1801457.76 167391.31 1511358.61 174446.44 1632360.09 1742296.48 1752290.90 1771251.84 1703494.04 182
DELS-MVS458.84 124423.31 124500.30 123511.99 130616.59 133578.86 133991.10 131355.79 124158.99 125319.09 126190.62 131453.64 126437.73 125439.52 123307.20 126603.81 127
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
RPMNet858.01 147961.99 153736.69 134550.05 1331120.24 1611212.05 163463.05 118485.90 135550.05 163580.05 151890.05 184559.05 1311485.90 1651185.90 1631085.90 168985.90 150
MVSTER834.63 145737.03 147948.49 147988.86 1521140.51 1631129.34 1611832.80 155682.42 148319.01 146550.98 150311.35 151872.51 147763.95 149757.83 148548.41 147952.20 148
CPTT-MVS10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
GBi-Net39.84 9435.75 9444.63 9843.04 9649.88 9951.06 9986.51 10035.34 9617.20 9529.83 9515.85 9643.43 10035.35 9635.70 9526.51 9748.28 100
PVSNet_Blended_VisFu129.22 113115.76 113144.92 113140.60 115162.80 118166.50 117281.20 114114.70 10655.50 11096.20 10751.80 114140.60 114114.70 113114.70 11485.10 109155.40 106
PVSNet_BlendedMVS129.22 113115.76 113144.92 113140.60 115162.80 118166.50 117281.20 114114.70 10655.50 11096.20 10751.80 114140.60 114114.70 113114.70 11485.10 109155.40 106
PVSNet_Blended129.22 113115.76 113144.92 113140.60 115162.80 118166.50 117281.20 114114.70 10655.50 11096.20 10751.80 114140.60 114114.70 113114.70 11485.10 109155.40 106
FMVSNet5116.86 105110.47 106124.32 105131.47 108157.41 111150.67 110199.64 103115.30 10956.61 11397.70 11051.77 107117.26 10677.26 101113.14 10790.25 112160.68 109
test1116.86 105110.47 106124.32 105131.47 108157.41 111150.67 110199.64 103115.30 10956.61 11397.70 11051.77 107117.26 10677.26 101113.14 10790.25 112160.68 109
new_pmnet75.00 10074.67 10075.39 10085.42 10296.03 10498.77 103173.23 10169.57 10136.19 9656.93 101117.43 12332.98 9685.38 10868.41 10025.74 9528.95 95
FMVSNet3116.86 105110.47 106124.32 105131.47 108157.41 111150.67 110199.64 103115.30 10956.61 11397.70 11051.77 107117.26 10677.26 101113.14 10790.25 112160.68 109
dps534.60 125472.40 125607.16 127690.38 140718.85 137636.03 1341231.66 140422.74 127198.65 131325.68 127194.97 132512.90 129509.81 129513.65 128373.33 130621.11 128
FMVSNet2116.86 105110.47 106124.32 105131.47 108157.41 111150.67 110199.64 103115.30 10956.61 11397.70 11051.77 107117.26 10677.26 101113.14 10790.25 112160.68 109
FMVSNet1116.86 105110.47 106124.32 105131.47 108157.41 111150.67 110199.64 103115.30 10956.61 11397.70 11051.77 107117.26 10677.26 101113.14 10790.25 112160.68 109
N_pmnet75.00 10074.67 10075.39 10085.42 10296.03 10498.77 103173.23 10169.57 10136.19 9656.93 101117.43 12332.98 9685.38 10868.41 10025.74 9528.95 95
UGNet100.44 10293.07 102109.04 102111.90 104131.06 108119.40 106222.42 11080.48 10336.93 9870.80 10340.92 10189.90 103100.59 110101.42 10373.68 106126.25 103
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
EC-MVSNet0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MDTV_nov1_ep13_2view9.99 909.99 909.99 909.99 909.99 919.99 919.99 919.99 919.99 939.99 919.99 949.99 919.99 919.99 909.99 919.99 91
MDTV_nov1_ep139.99 909.99 909.99 909.99 909.99 919.99 919.99 919.99 919.99 939.99 919.99 949.99 919.99 919.99 909.99 919.99 91
MIMVSNet1116.86 105110.47 106124.32 105131.47 108157.41 111150.67 110199.64 103115.30 10956.61 11397.70 11051.77 107117.26 10677.26 101113.14 10790.25 112160.68 109
MIMVSNet116.86 105110.47 106124.32 105131.47 108157.41 111150.67 110199.64 103115.30 10956.61 11397.70 11051.77 107117.26 10677.26 101113.14 10790.25 112160.68 109
IterMVS-LS714.97 143638.00 144804.77 145793.60 150914.20 150886.50 1511612.70 151588.30 146285.30 145491.20 143278.40 148759.20 144677.40 146681.30 147491.30 145835.20 144
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
CDS-MVSNet0.88 710.88 710.88 710.88 710.88 710.88 710.88 710.88 710.88 710.88 710.88 720.88 710.88 710.88 710.88 710.88 71
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
IterMVS554.60 128488.63 126631.57 132636.90 137700.80 135674.70 1361271.10 142430.50 128207.10 133370.50 129202.70 134611.80 133534.20 132545.30 131387.80 131636.40 129
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
MVS_111021_LR1055.24 157916.36 1511217.27 1571129.93 1621268.26 1641313.88 1652635.76 160923.19 154396.92 154704.88 156327.66 1561136.32 160965.38 152946.95 150690.83 1581278.20 158
HQP-MVS10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
QAPM0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
Vis-MVSNetpermissive2390.77 1741976.57 1682874.00 1802644.00 1803248.00 1843040.00 1817371.00 1891627.00 171421.00 1581200.00 171622.00 1692251.00 1702326.00 1792052.00 1741517.00 1832761.00 174
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
MVS-HIRNet1975.98 1641797.02 1662184.76 1652111.07 1702443.03 1742503.43 1734063.71 1691684.46 173711.34 1691456.05 177848.70 1822396.26 1771900.93 1671915.01 1681322.75 1752330.99 167
HyFIR lowres test2225.10 1671992.66 1702496.28 1672192.10 1712641.81 1752621.41 1755345.34 1772116.46 1781002.26 1871683.84 182837.43 1782338.65 1711920.94 1692020.28 1711477.92 1802727.86 171
EPMVS999.00 151999.00 154999.00 149999.00 153999.00 154999.00 152999.00 132999.00 157999.00 181999.00 165999.00 190999.00 154999.00 154999.00 154999.00 162999.00 151
TAMVS0.88 710.88 710.88 710.88 710.88 710.88 710.88 710.88 710.88 710.88 710.88 720.88 710.88 710.88 710.88 710.88 71
IS_MVSNet10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
RPSCF376.53 119341.80 119417.05 120418.60 124457.01 129467.46 128825.25 127336.12 122159.32 126260.40 122151.13 127386.94 121364.25 121352.10 120244.72 123471.62 122
Vis-MVSNet (Re-imp)10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
MVS_111021_HR3192.50 1862773.91 1883680.86 1873515.58 1893815.81 1914020.82 1967766.11 1912775.23 1911300.96 2022221.19 1951117.25 2003420.01 1902873.98 1872835.60 1902061.69 1963778.31 190
CSCG727.26 144663.25 145801.94 144590.65 134811.25 140854.12 1481805.32 154816.43 152388.25 150612.42 152345.37 158621.61 134507.46 128471.55 126551.65 1481078.31 157
PatchMatch-RL10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
TDRefinement10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
USDC1000.00 1521000.00 1561000.00 1501000.00 1551000.00 1561000.00 1541000.00 1331000.00 1591000.00 1831000.00 1671000.00 1921000.00 1561000.00 1561000.00 1561000.00 1641000.00 153
EPP-MVSNet10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
PMMVS10000000.00 20710000000.00 20810000000.00 20810000000.00 21410000000.00 21510000000.00 21610000000.00 21210000000.00 21010000000.00 21710000000.00 21110000000.00 21710000000.00 21110000000.00 21110000000.00 21010000000.00 21410000000.00 210
ACMMPcopyleft9999.00 2019999.00 2019999.00 2029999.00 2079999.00 2089999.00 2109999.00 1999999.00 2039999.00 2139999.00 2049999.00 2139999.00 2049999.00 2059999.00 2049999.00 2089999.00 204
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
CNLPA17763.08 20315907.71 20419927.67 20419334.00 21022387.00 21122896.00 21238668.00 20715772.00 2047632.00 21213229.00 2057123.00 21219334.00 20715773.00 20615700.00 20511702.00 21021370.00 206
PatchmatchNetpermissive452.63 123410.20 123502.13 124520.70 131614.40 132546.00 1301018.80 138379.00 125167.50 127277.10 123169.40 129437.10 124437.10 124457.50 125322.70 127536.90 125
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
PHI-MVS99999.00 20699999.00 20799999.00 20799999.00 21299999.00 21499999.00 21599999.00 21099999.00 20999999.00 21699999.00 21099999.00 21699999.00 21099999.00 21099999.00 20999999.00 21399999.00 209
OMC-MVS4439.92 1943906.78 1945061.92 1974748.70 2005679.38 1985855.03 2069923.00 1984023.36 1991740.95 2051693.78 1851693.78 2064658.45 1984254.77 1984135.74 1983445.36 2035866.63 198
AdaColmapbinary2288.90 1702080.73 1742531.77 1702485.98 1772757.87 1782974.47 1804914.62 1742255.54 181804.63 1751611.14 181842.30 1812657.83 1802056.92 1731960.62 1691353.09 1773080.73 176
DeepMVS_CXcopyleft1.00 731.00 731.00 731.00 731.00 731.00 731.00 741.00 731.00 731.00 731.00 73
TinyColmap1000.00 1521000.00 1561000.00 1501000.00 1551000.00 1561000.00 1541000.00 1331000.00 1591000.00 1831000.00 1671000.00 1921000.00 1561000.00 1561000.00 1561000.00 1641000.00 153
MAR-MVS3961.62 1913726.55 1934235.86 1924107.62 1976522.83 2014862.93 2027956.64 1953380.98 1951665.13 2043231.54 2001650.34 2054357.29 1973198.61 1963209.42 1952465.52 1994892.15 196
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
MSDG31705.85 20429167.57 20634667.17 20544079.00 21128314.00 21344778.00 21443648.00 20831045.00 20814849.00 21426179.00 20913752.00 21538088.00 20930859.00 20930835.00 20822561.00 21243189.00 208
LS3D7481.83 1996596.02 1998515.28 2009871.71 2059844.03 2079225.16 20918308.40 2065364.90 2001267.41 1982381.61 1971512.79 2037225.72 2028875.69 2049516.28 2035193.26 2068676.83 202
CLD-MVS6986.85 1976222.57 1987878.50 1997707.00 2048884.00 2069025.00 20815607.00 2056148.00 2022571.00 2084822.00 2022082.00 2117875.00 2036389.00 2006449.00 2024486.00 2058784.00 203
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
FPMVS1356.65 1621072.60 1601688.04 1631840.79 1681397.01 1661793.24 1704397.86 172804.66 150408.78 156538.65 149407.36 162894.84 1531587.73 1661286.38 165792.73 1601486.39 163
Gipumacopyleft587.77 132529.57 132655.67 133637.00 138733.00 138749.00 1391245.00 141525.00 137269.00 144445.00 140253.00 138637.00 135525.00 131525.00 129397.00 132701.00 134
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015